Podcast appearances and mentions of amir bormand

In this episode of The Talent Tango, Amir Bormand is joined by Heather Cassar to unpack the nuances of giving and receiving feedback in the workplace. From real-time feedback practices to performance reviews, Heather shares practical tips on how to build trust, motivate teams, and make feedback a natural part of company culture—without making it awkward. Whether you're in HR, a people leader, or a manager navigating hybrid teams, this episode offers a human-centered approach to feedback that boosts both trust and performance.

In this episode, Amir Bormand sits down with Andy White, CEO of ClosingLock, to talk through his journey from PhD engineer to startup founder. Andy shares the aha moment that launched ClosingLock, a cybersecurity-focused platform protecting real estate transactions, and offers a transparent look at the early struggles of building trust in a skeptical industry. From pitching title companies with Chick-fil-A to learning an entirely new domain from scratch, this is a story about execution, humility, and listening harder than you pitch.

In this episode of The Tech Trek, Amir Bormand talks with Jason Wells, Head of Engineering at BrowserBase, about building a high-performance culture rooted in trust, emotional intelligence, and psychological safety. Jason shares how his unconventional path—including a six-year break from tech—helped shape a management philosophy that puts human connection at the center of engineering leadership. From dismantling blame culture to fostering self-compassion and authentic feedback loops, Jason offers a powerful framework for anyone looking to lead modern tech teams more intentionally.

In this episode, Amir Bormand sits down with Kieran Furlong, CEO and co-founder of Realta Fusion, to explore the unique path of a deep tech startup spun out of a university lab. They discuss building a fusion energy company, navigating complex stakeholder relationships with universities and government agencies, and keeping long-term mission-driven teams aligned. From licensing technology to managing a decade-long development cycle, this conversation reveals how Realta Fusion is working to change the world's energy future.

In this episode, Amir Bormand sits down with Tony Speller, Division SVP of Technical Operations and Engineering at Comcast, to explore how AI is quietly but powerfully transforming the customer and employee experience at one of the world's largest media and technology companies. From self-healing network devices to predictive outage detection, Tony walks us through Comcast's internal innovation playbook—blending in-house AI solutions with strategic partnerships. Whether you're a technologist, operator, or just someone who's ever rebooted a modem, this episode peels back the curtain on what keeps the digital world running.

In this episode of The Tech Trek, Amir Bormand sits down with Shang Wang, Co-founder and CTO of CentML, to explore the dynamic landscape of open source AI technologies and how enterprises are rapidly adapting to this growing ecosystem. Shang offers expert insights into why open source solutions are becoming essential in AI development, the advantages in security and privacy, and how CentML strategically contributes to this evolution.

In this episode of The Tech Trek, Amir Bormand sits down with Max Mergenthaler-Canseco, CEO and co-founder of Nixla, to explore the nuanced reality behind startup success. A multi-time founder with experience as both CEO and CTO, Max shares hard-earned lessons from his entrepreneurial journey—including why theoretical knowledge often clashes with real-world execution, how to build a resilient startup team, and the underestimated danger of survivorship bias in startup lore.From balancing optimism with statistical failure rates to knowing when to focus on strengths over weaknesses, Max delivers practical wisdom for anyone navigating the startup grind. Whether you're a first-time founder or on your third venture, this conversation will leave you thinking differently about what it really takes to succeed in tech.

In this episode, Amir Bormand is joined by Kate Esterman, Director of Global Talent Acquisition at Integral Ad Science. Together, they dive deep into the ever-evolving landscape of candidate experience, discussing how market shifts—from candidate-driven to client-driven—impact the way companies engage talent. Kate shares actionable strategies, real-world examples, and her perspective on balancing high-touch human interactions with the scalability of automation, all while maintaining a standout candidate journey. Whether you're scaling your TA team, facing hiring freezes, or juggling high-volume hiring demands, this conversation is packed with valuable insights for anyone passionate about elevating talent experiences. Key Takeaways: Consistency is Key: Regardless of market conditions, ensure candidates walk away wanting to work with your company—even if they don't get the job. Communication First: Regular, transparent communication can't be skipped. A simple follow-up message goes a long way, especially when bandwidth is tight. Leverage the Whole Organization: Activate your employees as brand ambassadors and referrers—especially valuable in tight-knit or small markets. Be Transparent Early: Set expectations around compensation, timelines, and processes upfront to minimize surprises and drive offer acceptances. Personalized Automation: Automation tools are helpful but should never feel robotic—infuse human touch into every automated message. Think Long-Term: Build your CRM and talent community today for tomorrow's hires. Candidate experiences linger far beyond the immediate role. Timestamped Highlights: [00:01:00] Kate introduces IAS and their work partnering with major platforms like TikTok & YouTube. [00:02:08] How market swings—from candidate-driven to surplus talent—impact candidate experience. [00:03:50] Resource constraints and bandwidth challenges: why both hiring booms and slowdowns affect communication gaps. [00:05:30] Creative solutions: How IAS doubled referral bonuses and engaged employees as recruiters in niche markets like Dublin. [00:08:00] Speed, flexibility, and upfront transparency: The pillars of a great candidate experience, regardless of market. [00:12:20] “Follow-Up Fridays”: Kate's simple yet powerful hack to prevent candidates from falling through the cracks. [00:14:00] Can GenAI and automation improve candidate experience? The fine line between efficiency and personal touch. [00:16:30] Why long-term thinking matters: Stories of candidates who declined offers but re-engaged years later. [00:22:30] How talent teams can think like marketers—keeping candidates warm through events, brand building, and community engagement. Quote Highlight: "No matter what market we're in, every candidate should walk away wanting to work for your company—whether they got the offer or not." – Kate Esterman Connect with Kate: LinkedIn: https://www.linkedin.com/in/recruitertech

In this episode of The Tech Trek, Amir Bormand sits down with Nirmal Ranganathan, CTO, Global Public Cloud at Rackspace, to dissect one of the hottest and most crucial topics in today's tech landscape—trust in AI applications. They explore how enterprises can drive adoption of AI solutions, what key factors are needed to foster trust, and why guardrails, security, and change management play a pivotal role. Whether you're a developer, tech leader, or AI enthusiast, this episode dives deep into the challenges and opportunities shaping the future of AI adoption.Key TakeawaysTrust is the Cornerstone: For AI adoption to succeed, users must trust the output. Trust hinges on data quality, security, responsible use, and model transparency.Change Management Matters: Adoption in enterprises isn't about trends—it's about clear processes, education, and user enablement.Guardrails Are Non-Negotiable: Especially when AI is exposed to external users, organizations need strong safety checks—think toxicity filters, bias mitigation, and strict data governance.Scaling AI = Scaling Costs: Unlike typical systems, scaling AI comes with heavy computational costs. Patterns like caching and model optimization are essential for sustainability.Prompt Engineering & Peer Learning: The secret to effective enterprise AI adoption is empowering users to master prompt engineering and fostering peer collaboration.Future of Adoption: 2025 might not yet be the year of mass AI production rollout, but the curve is gradually climbing—especially with evolving architectures and better model accuracy.Timestamped Highlights[00:00:00] Introduction to Nirmal Ranganathan & the importance of trust in AI[00:01:34] Why adoption is key—and why most tech projects fail due to lack of it[00:02:50] Three pillars of successful AI adoption: Trust, Change Management, Functionality[00:05:02] The trust barrier: Hallucinations, relevance, and grounding AI responses in enterprise knowledge[00:10:01] Why most AI projects are stuck in POCs—and what's preventing full-scale deployment[00:11:43] Technical guardrails: Security, scalability challenges, and compliance considerations[00:14:56] Cost & infrastructure challenges when scaling AI solutions to millions of users[00:17:52] How tech companies differ from enterprises in deploying AI—data privacy, safety checks, user unpredictability[00:20:00] The role of prompt engineering, peer learning, and experiential training in ensuring AI adoption success[00:22:16] What the future holds for AI adoption—and why the heavy lifting might get easierFeatured Quote "AI adoption compounds all of our existing challenges—and then multiplies them by five or ten times." — Nirmal RanganathanConnect with NirmalLinkedIn: https://www.linkedin.com/in/rnirmal/If you enjoyed this episode, please like, share, and subscribe! Don't forget to follow the podcast to stay updated on future episodes.

In this episode, Amir Bormand sits down with Jeremy Goldsmith, VP of Engineering at Branch, to explore leading with purpose and how it impacts engineering teams. Jeremy shares his philosophy on leadership, the psychology behind motivation, and how connecting individual contributions to a larger purpose can unlock potential and drive performance.This conversation is a must-listen for engineering leaders, tech managers, and individual contributors who want to cultivate a stronger sense of purpose in their work and teams.Key Takeaways

In this episode, Amir Bormand welcomes Scott Persinger, CEO of Supercog AI, to discuss the rise of agentic AI and its applications in modern businesses. They explore the evolving role of AI agents in knowledge management, team collaboration, and enterprise automation, particularly in environments like Slack. The conversation delves into how AI is reshaping work, privacy and ethical considerations, and the future of human-AI collaboration.Key Takeaways

In this episode, Amir Bormand chats with Jake Moshenko about his journey from engineer to founder, the challenges of identifying the right startup ideas, and navigating both venture capital and bootstrapping. They also discuss decision-making, failure, and the growing role of AI in authorization systems.Key TakeawaysTurning an Idea into a Startup: Jake emphasizes the importance of picking the right problems to solve—ones that are painful, widely felt, and worth paying for.The "Muscle" of Evaluating Ideas: Recognizing which ideas are viable requires experience and learning from past failures.Bootstrapping vs. VC: Both approaches have trade-offs—bootstrapping requires patience and personal risk, while VC funding adds pressure but accelerates growth.Decision-Making as a Founder: Founders must make decisions without perfect information and delegate when possible.AI and Authorization: AI companies face similar security challenges as traditional applications, and AuthZed is helping businesses ensure secure, permission-based access.Timestamped Highlights[00:01:00] – Introduction: Jake's journey from engineer to startup founder.[00:02:30] – The origins of AuthZed: Identifying a need based on past experience.[00:05:00] – How Jake evaluates startup ideas using his three criteria.[00:09:30] – Learning from startup failures and developing a critical decision-making "muscle."[00:14:00] – Decision-making as a founder: Confidence, risk tolerance, and analysis paralysis.[00:18:00] – Bootstrapping vs. venture capital: The key differences and challenges.[00:21:00] – AI and security: How AuthZed helps AI companies protect data.[00:24:00] – Where to connect with Jake and final thoughts.Quote from the Episode"You need to fail a lot. You can over-index on success stories, but real learning comes from understanding why things didn't work." – Jake MoshenkoConnect with JakeWebsite: https://authzed.com/Discord: Join via the link on AuthZed's homepage

In this episode, Amir Bormand is joined by Jay Como to discuss how organizations can simplify data governance. Jay shares insights on shifting the perception of governance from a bureaucratic burden to a business enabler, how emerging technologies like Gen AI can assist in governance challenges, and strategies for making governance policies more effective and accessible.

In this episode, Amir Bormand is joined by Cory Eustice, a seasoned talent leader, to dive into the importance of transparency in the hiring process. They explore how organizations can improve candidate experiences, hiring outcomes, and long-term retention by fostering open and honest conversations from the very start. Key Takeaways: Transparency in Hiring Matters – Candidates should be given a full, honest picture of the role, the company, and the challenges they might face. Hiring Managers Play a Role – Recruiters must work closely with hiring managers to ensure they openly discuss both the positives and challenges of a role. Quality Over Speed – Rushing to fill positions without clear alignment on expectations leads to mismatches and retention issues. Metrics That Matter – Effective hiring isn't just about speed; it's about tracking key indicators like offer acceptance rates, retention, and conversion rates. Retrospective Learning – Teams should evaluate both successful and unsuccessful hires to continuously refine their approach. Timestamped Highlights: [00:01:00] – Cory's perspective on how transparency helps candidates feel confident in their decisions. [00:03:00] – Amir shares a personal story about how a lack of transparency in his early career led to a short tenure. [00:07:00] – How hiring managers should approach transparency with candidates to set the right expectations. [00:12:00] – Why metrics like time-to-hire alone don't define success and what recruiters should really focus on. [00:17:00] – Cory's "building a great house" analogy to explain the balance between structure and flexibility in recruiting. [00:22:00] – How recruiters can fine-tune their processes by analyzing offer declines and retention data. [00:28:00] – The importance of looking at successful hires, not just failures, to understand what works. Quote from the Episode: "The best recruiters aren't just filling roles—they're career coaches, sales enablers, project managers, and therapists. Transparency is the foundation for all of that." – Cory Eustice Connect with Cory:

In this episode, Amir Bormand sits down with Ganesh Datta, Co-founder & CTO of Cortex, to dive deep into engineering excellence—what it means, how to measure it, and how to build it into the culture of a technology organization. They explore product thinking, shared standards, accountability, and continuous improvement, as well as the challenges of maintaining excellence across different types of companies.Whether you're an engineering leader or a developer striving for high standards, this episode provides valuable insights into how to define, implement, and sustain engineering excellence in your organization.Key TakeawaysEngineering Excellence is Continuous: There's no final state of “excellence”—it's about ongoing improvement and iteration.The Four Pillars of Engineering Excellence:Velocity – How fast can the team deliver?Efficiency – Are resources being used optimally?Security – Is the system safe and resilient?Reliability – Can users trust the system to work as expected?Business Alignment Matters: Excellence should align with business goals, whether that's innovation, efficiency, or reliability.Engineering Culture is Key: Excellence isn't just about processes and metrics—it's about visibility, accountability, and fostering a mindset of improvement.Standardization vs. Flexibility: While setting clear standards is crucial, organizations must adapt their definitions of excellence based on their unique challenges and priorities.Timestamped Highlights[00:00:00] – Introduction: Who is Ganesh Datta, and what is Cortex?[00:02:00] – Defining engineering excellence and why it differs by company.[00:05:00] – Engineering excellence as a cultural foundation, not just an end goal.[00:07:30] – Measuring excellence: The role of metrics and how to avoid focusing on lagging indicators.[00:10:30] – Overcoming resistance to engineering standards and ensuring adoption across teams.[00:12:30] – How business drivers shape engineering standards.[00:15:30] – Why excellence is different for every company: Comparing OpenAI vs. a large financial institution.[00:18:00] – How CTOs can translate business goals into engineering priorities.[00:21:00] – Ensuring consistency: How to sustain high standards year after year.[00:23:00] – Where to connect with Ganesh Datta for follow-up questions.Quote of the Episode“Engineering excellence is not an end state—it's a culture of continuous improvement. You're never truly excellent, just more excellent than before.” – Ganesh DattaConnect with Ganesh DattaLinkedIn: https://www.linkedin.com/in/gsdatta/Email: ganesh@cortex.ioCortex Website: cortex.io

Artificial intelligence is moving beyond proofs-of-concept and into real-world production—but how do you make it work in highly secure environments? In this episode, Ben Van Roo, CEO & Co-Founder of Yurts, joins Amir Bormand to discuss the challenges of implementing Gen AI in government, financial institutions, and enterprises with strict security requirements.Ben breaks down why 2024 is the year of POCs, but 2025 will be the year of production, the biggest "gotchas" companies face when scaling AI, and why infrastructure—not just modeling—is the real challenge. We also dive into why AI adoption in enterprises is different, how organizations must navigate governance and security, and whether legacy companies will finally leapfrog into AI or repeat the mistakes of slow digital transformation.

In this episode, JD Williams joins Amir Bormand to dive into the critical role ofchange management in driving successful digital adoption. From leading with digital fluency to navigating organizational change for AI integration, JD shares actionable insights from his work at Zoetis.Key TakeawaysDigital Fluency Starts with People:Training needs to be role-specific and practical.Peer-to-peer learning fosters deeper adoption across teams.Change Management is a Team Effort:Success requires both top-down support and grassroots enthusiasm.AI champions in different regions help scale efforts effectively.Rethinking ROI in AI Adoption:Focus onhours gained rather than hours saved.Establish CFO-certified metrics to measure value and demonstrate ROI.Integrating Change Management Early:Include change management planning from the proof-of-concept stage.Prioritize initiatives that are both technically and operationally feasible.Storytelling is Key for Leadership:Data leaders must communicate AI's value across diverse business functions.Timestamped Highlights[00:01:03] JD introduces Zoetis and its global role in animal health.[00:02:04] Defining digital fluency and how Zoetis integrates AI into workflows.[00:04:34] The three pillars of digital transformation: people, process, and technology.[00:06:14] Leveraging AI champions for grassroots adoption.[00:10:00] The importance of process mapping to identify change impacts.[00:14:53] Measuring AI's ROI: hours gained, accelerated R&D timelines, and improved sales tools.[00:19:10] Injecting change management into strategy from the start.[00:21:38] How storytelling helps leadership align on AI's value.Memorable Quote"Change management isn't just a top-down directive; it's about enabling and empowering individuals across the organization to embrace and drive innovation." – JD WilliamsConnect with JD WilliamsLinkedIn: JD WilliamsFollow JD for insights on digital adoption, AI, and data-driven leadership.

In this episode ofThe Tech Trek, Amir Bormand sits down with Stephen Harris, former Corporate Vice President of Global Data Science and Growth Analytics at Microsoft. Steffen, a seasoned data executive with over 30 years of experience, shares insights into tackling foundational data issues, addressing data debt, and integrating advanced AI strategies. Together, they explore how businesses can move the needle on long-standing challenges and position themselves for sustainable growth in a data-driven world.Key TakeawaysFoundational Data Challenges: Many enterprises struggle with defining and managing core data assets such as customer and product data, often resulting in inefficiencies and missed opportunities.Data Debt: Short-term wins in data management can lead to long-term complications. Addressing data debt requires balancing immediate needs with sustainable strategies.AI as a Catalyst: Generative AI and machine learning can help identify gaps, streamline processes, and improve data quality, but they must align with business goals to maximize ROI.Parallel Solutions: Digital transformation and AI strategies should run on parallel tracks, emphasizing quick wins while developing a cohesive long-term roadmap.Stakeholder Engagement: Effective communication and tailored problem-solving are essential when advocating for foundational data investments to stakeholders.Highlighted Timestamped Moments[00:00:21]: Introduction to foundational data issues and their role in enabling advanced technologies like generative AI.[00:02:05]: Steffen shares insights from his time at Wells Fargo and VMware, discussing challenges in mastering customer and product data.[00:09:29]: Exploring the concept of data debt and its implications for short-term wins versus long-term sustainability.[00:14:58]: Leveraging AI to assess and address foundational data gaps and enhance decision-making.[00:23:54]: The evolution of digital transformation and the rise of interconnected challenges like cybersecurity and cloud integration.[00:29:08]: Strategies for presenting long-term data solutions to stakeholders and prioritizing fixes for maximum business impact.Quote of the Episode"Stop, pause, reflect, and reimagine the opportunity. Quick wins today can fuel long-term strategies tomorrow." – Stephen HarrisConnect with Stephen HarrisLinkedIn: Stephen Harris

In this episode, Amir Bormand is joined by Marty Kausas, Co-founder and CEO of Pylon, a groundbreaking customer support platform for B2B companies. Marty shares his journey of navigating "pivot hell," the challenges of ideation, finding the right co-founders, and understanding what it takes to build a billion-dollar company. Whether you're an aspiring entrepreneur or a seasoned professional, this episode is packed with insights on creating, evolving, and scaling a tech startup. Key Takeaways: The Ideation Journey: Startups often require multiple pivots before discovering a viable product-market fit. Co-founder Chemistry: Aligning goals, skillsets, and hustle is crucial for long-term success. Big Market Thinking: Even niche solutions can thrive when embedded in expansive markets. Unicorn Realities: Building a billion-dollar company demands focus, persistence, and adaptability. Founder Fitness: Maintaining personal resilience is as critical as business execution. Timestamped Highlights: [00:00:00] Introduction to Marty Kausas and Pylon's mission. [00:01:00] From Airbnb software engineer to entrepreneur: Marty's background and startup motivation. [00:02:55] Lessons learned from early ideas and the struggles of healthcare and nonprofit markets. [00:05:12] Decoding product-market fit and total addressable market (TAM) for startup success. [00:06:31] The importance of choosing the right co-founders for adaptability and growth. [00:13:49] "Find a niche in a big market" – Balancing focus and scalability. [00:16:18] Insights into unicorn companies and the pressures of achieving high valuations. [00:23:26] How Marty decompresses and stays motivated amidst the demands of entrepreneurship. [00:26:00] How to connect with Marty and his final thoughts on startup growth. Quote of the Episode: "The worst-case scenario isn't failure—it's becoming a 'zombie company' that can't grow or sell. Momentum is everything." – Marty Kausas Links and Resources: Connect with Marty on LinkedIn Email Marty at: marty@usepylon.com Learn more about Pylon: usepylon.com Share the Knowledge: If you found this episode insightful, share it with your network and tag us! Don't forget to like, subscribe, and leave a review on your favorite podcast platform. Let us know your thoughts and what topics you'd like to hear next.

In this episode of The Talent Tango, Amir Bormand is joined by Alex Kim, Head of Talent at NewLimit, to discuss the nuances of expectations and requirements in talent acquisition. They dive into how talent professionals can better understand and serve domain experts, establish success criteria, and adapt to the unique challenges of niche and bleeding-edge industries like biotech. Whether you're an early-career recruiter or a seasoned talent leader, this conversation offers invaluable insights into building trust, setting realistic expectations, and aligning talent strategies with business objectives. Key Takeaways: Understanding the Stakeholders You Serve: Talent acquisition is a consultative function. By deeply understanding the organizational structure, team dynamics, and priorities, recruiters can align their strategies with business goals. Data-Driven Collaboration: Use talent mapping and market data to set clear expectations with hiring managers, especially for niche roles. Transparency is key to refining hiring criteria and finding creative solutions. Building Relationships Beyond the Job Post: Strong relationships with hiring managers aren't built overnight. Attend team meetings, listen actively, and invest in understanding technical priorities to foster trust and streamline collaboration. Navigating Challenges in Niche Hiring: Hiring for cutting-edge industries requires long-term thinking and creative sourcing strategies, such as engaging academic institutions and leveraging leaders' networks for outreach. Balancing Process with Agility: Processes should enable, not hinder, recruiting success. Adapt your approach based on organizational priorities and challenges, knowing when to tighten or loosen guardrails. Timestamped Highlights: [00:01:10] Alex defines what it means for talent professionals to serve domain experts. [00:03:07] The importance of understanding organizational design and team strengths before starting a search. [00:04:40] How to build trust with hiring managers and maintain relationships during lulls in hiring activity. [00:07:22] Alex on pushing back against unrealistic expectations with data and market insights. [00:12:45] The unique challenges of sourcing for bleeding-edge industries like biotech. [00:18:07] Redefining talent acquisition as a consultative role. [00:24:04] Balancing process efficiency with the need for agility in recruiting. Quote of the Episode: "Despite being domain experts, hiring managers rely on us as talent advisors—not order takers. Our job is to bring the market data, build relationships, and guide them toward the best talent solutions." — Alex Kim Resources and Links: Connect with Alex Kim on LinkedIn: Alex Kim Email Alex: alex.kim@newlimit.com Learn more about NewLimit: NewLimit Website Subscribe and Follow: Don't forget to like, subscribe, and leave a comment about what resonated with you from this episode. Follow The Talent Tango for more insights from leaders shaping the future of work.

In this inspiring episode, Amir Bormand chats with Matt Martin, Co-Founder of Clockwise. Matt shares his unique career trajectory, transitioning from being a lawyer to a self-taught software engineer, and ultimately, to a tech entrepreneur. They discuss the challenges, self-doubt, and triumphs of making a bold career pivot, as well as insights into the future of technology and software development. Whether you're contemplating a career change or simply curious about what it takes to thrive in the tech world, this episode is packed with valuable takeaways. Key Takeaways: The Courage to Pivot: Matt discusses the fears and uncertainties of leaving a secure legal career to pursue his passion for technology. Building Skills from Scratch: The self-taught path is tough, but Matt explains how enthusiasm and resilience helped him break into the tech industry. Diverse Backgrounds in Tech: How Matt's legal training provided him with a unique perspective as a leader in the tech world. Future of Coding: Thoughts on how large language models and automation tools could democratize software development. Startup Lessons: The value of scrappiness, enthusiasm, and hiring for potential over traditional qualifications. Timestamped Highlights: [00:00:00] Introduction: Meet Matt Martin and his journey from lawyer to tech entrepreneur. [00:01:41] From Politics to Law: How Matt's passion for public policy led him to law school. [00:04:21] The Big Decision: Why Matt chose to leave a secure legal career for the uncertain path of technology. [00:09:03] Early Challenges: Matt's struggles to land his first tech job and the resilience it required. [00:13:00] Hiring Insights: How Matt's non-traditional background influences his views on diversity in hiring. [00:18:00] The Role of AI in Coding: Matt's perspective on how tools like LLMs are reshaping software development. [00:23:28] Legal Skills in Tech: The pros and cons of Matt's legal training in his entrepreneurial journey. [00:26:09] Closing Thoughts: Matt's advice for aspiring career changers and tech enthusiasts. Featured Quote: "The magic of large language models isn't just faster code completion; it's their ability to teach you along the way." – Matt Martin Connect with Matt Martin: Email: matt@getclockwise.com LinkedIn: Matt Martin on LinkedIn Call to Action: If you enjoyed this episode, share it with someone exploring a career pivot or interested in technology. Don't forget to like, subscribe, and leave a comment with your thoughts!

In this episode of The Tech Trek, Amir Bormand sits down with Scott Peachey, Director of Data Governance and Oversight at Bread Financial, to explore the evolving world of data enablement. Together, they unpack how rebranding data governance can shift perceptions, make data accessible across organizations, and foster a culture of collaboration. Scott shares his insights on tackling the challenges of data literacy, meeting business stakeholders where they are, and the importance of tailoring governance approaches to align with organizational goals. The conversation also delves into the intersection of advanced technologies like generative AI and governance, examining how businesses can adopt AI strategically without blindly following trends. Key Takeaways Data Enablement Redefined: Rebranding "data governance" to "data enablement" highlights its role in empowering organizations to use data effectively, not just managing compliance. Meeting Stakeholders Where They Are: Effective data governance requires understanding the unique needs of each business line and tailoring solutions to fit their objectives. Shifting Left: Engaging governance professionals early in the decision-making process helps prevent costly, reactive fixes and ensures alignment with business goals. AI: A Hammer Searching for a Nail?: Many companies adopt AI without clear goals, risking wasted resources. Scott advocates for purposeful, strategic AI integration. Governance as a Value Driver: Data governance should go beyond risk mitigation, enabling other teams to focus on their core work while maintaining efficiency and compliance. Timestamped Highlights [00:01:00] What is Data Enablement? Redefining governance for a modern era. [00:03:00] Origins of Governance: From Enron to privacy-driven modern policies. [00:06:00] Data Literacy Challenges: Bridging the gap with tailored governance approaches. [00:08:52] Adapting Governance for Business Needs: Customizing solutions for different teams. [00:11:00] The Future of Data Governance: Moving from reactive to proactive. [00:21:41] AI Governance and Ethics: Why "keeping up with the Joneses" is not enough. [00:27:00] Is AI Investment Worth It? Balancing ROI with ethical considerations. Notable Quote "Data governance professionals enable other data professionals to focus on their craft. Governance isn't about saying 'no'; it's about building the right framework to help businesses thrive."– Scott Peachey Resources and Follow-Up Connect with Scott Peachey on LinkedIn Check out his podcast: Data with Peachey Follow him on social media: Twitter/Instagram @TheScottPeachey Join the Conversation If you enjoyed this episode, subscribe to The Tech Trek, leave a review, and share your thoughts on how data governance impacts your organization.

In this episode, Amir Bormand is joined by Vinod Ramachandran, CEO and Co-Founder of Big Sur AI, and Arnaud Weber, Co-Founder and CTO, to discuss how AI is reshaping the e-commerce landscape. The conversation explores AI-driven personalization, the future of dynamic online shopping experiences, and how smaller brands can compete with industry giants. Key Takeaways AI as a Game-Changer for Smaller Brands: Smaller retailers can now leverage AI to create highly personalized and assistive shopping experiences, previously reserved for e-commerce giants. AI reduces the reliance on high ad spends by optimizing conversion rates on retailers' websites. Dynamic, Customized Shopping Journeys: AI agents are enabling a shift from static to fully dynamic websites, tailoring the user experience for each individual shopper in real-time. The Future of AI in Retail: AI will soon extend across all retail functions, from marketing and inventory planning to in-store customer interactions, creating a seamless blend of online and offline experiences. Addressing AI Challenges: Tackling issues like hallucinations in large language models through context validation and human oversight ensures accuracy and builds consumer trust. Timestamps [00:00:00] Introduction to Guests and Topics [00:01:15] Big Sur AI's Mission: Empowering Retailers Through AI [00:03:42] ChatGPT and Consumer Shopping Behavior: How Expectations Have Changed [00:07:00] Overcoming Conversion Challenges for Smaller Retailers [00:14:45] The Transition to Fully Dynamic Shopping Experiences [00:19:32] Future of Jobs: How AI Will Shape Retail Roles [00:23:50] Leveling the Playing Field: Small vs. Big Retailers [00:27:00] The Road Ahead for AI in E-Commerce: Multi-Modal Experiences Featured Quote "No two users should even be seeing the same website. AI agents can generate tailored content, creating a personalized shopping experience that feels as seamless as walking into a physical store." — Vinod Ramachandran Call to Action Enjoyed this episode? Share it with a friend in the tech or retail space and let us know your thoughts by leaving a comment or review. Don't forget to like, subscribe, and follow us for more insights on technology's impact on the business world.

In this episode, Amir Bormand is joined by Jake Peters, co-founder, CTO, and CPO of Fora, a modern travel agency platform. Together, they delve into the art of customer-centric engineering, the balance between business and technology, and how Fora is revolutionizing the travel industry. Jake shares his unique journey through tech, from 90s coding to leading dual roles in product and engineering, and the lessons he's learned about prioritization, collaboration, and adaptability. Key Takeaways: Balancing Business and Technology: Jake explains the importance of focusing on business outcomes without losing sight of technical quality and long-term maintainability. Reprioritization as a Strength: The ability to adapt priorities based on market needs, customer feedback, and internal goals is critical for success. Customer-Centric Innovation: Building products that resonate with users involves active engagement, feedback loops, and iterative design. Efficient Problem Solving: The balance between cutting corners and creating sustainable solutions is a cornerstone of engineering leadership. The Emerging CTPO Role: Jake reflects on the evolving Chief Technology and Product Officer (CTPO) title and its potential scalability for startups and larger companies alike. Timestamped Highlights: [00:00:00] Introduction: Meet Jake Peters and learn about Fora's vision. [00:02:20] Jake's Early Tech Journey: The 90s, Netscape, and learning the ropes of engineering and business. [00:05:16] Engineering vs. Business: The constant tug-of-war between technical perfection and delivery speed. [00:07:53] Common Pitfalls in Engineering: When and how to prioritize flexibility versus hard-coded solutions. [00:12:22] Time-to-Market Challenges: Navigating product delivery within tight windows of opportunity. [00:16:13] Starting with a Blank Page: How Fora ideates and designs new solutions. [00:18:00] The CTPO Role: Balancing technical strategy and product innovation across multiple product lines. [00:26:34] The Future of Engineering Leadership: Integrating business acumen into technical roles. Memorable Quote: "If you want to be an effective CTO, you cannot do that without a strong foundation in understanding where the business is." – Jake Peters Contact Jake: Learn more about Fora: Foratravel.com Connect with Jake Peters: https://www.linkedin.com/in/jakep/ Join the Conversation: Enjoyed the episode? Share it with a colleague, leave a comment, or follow The Tech Trek for more insightful discussions on the intersection of technology and leadership.

In this episode, Amir Bormand interviews Curtis Northcutt, CEO and Co-Founder of CleanLab. Curtis shares his inspiring journey from humble beginnings in rural Kentucky to becoming a leader in AI innovation. He delves into his personal story, the principles that shaped him, and his thoughts on the role of technology in creating meaningful change. This episode is a must-listen for anyone interested in resilience, the future of AI, and the human side of innovation. Key Takeaways: The Power of Resilience and Opportunity: Curtis's story underscores how recognizing and seizing low-hanging fruit can lead to transformational opportunities—even when resources are scarce. Balancing Technology with Humanity: Curtis emphasizes that while AI can solve problems, societal change begins with education, empathy, and better parenting. Leadership Through Gratitude and Balance: As a CEO, Curtis integrates gratitude and balance into his leadership, fostering strong relationships with co-founders and driving innovation at CleanLab. Bridging the Gap for Underrepresented Communities: Curtis advocates for leveraging technology to increase awareness and access to opportunities for individuals from overlooked backgrounds. Timestamped Highlights: [00:01:00] Curtis's journey from rural Kentucky to MIT and his reflections on overcoming economic adversity. [00:06:33] Insights on the isolation of being a founder and the importance of empathy and gratitude in leadership. [00:10:56] Foundational principles taught by his father: striving for excellence and leveraging small wins. [00:14:57] How a cafeteria scholarship and perseverance led to pivotal opportunities at NASA, Vanderbilt, and MIT. [00:23:00] Addressing awareness gaps: the critical role of education, technology, and grassroots efforts in empowering underprivileged communities. [00:29:20] The influence of a passionate teacher who pushed Curtis to excel. [00:32:00] Curtis's philosophy as a co-founder: balancing ambitions and maintaining gratitude for his team. Featured Quote: "If you have nothing, go for the smallest, lowest-hanging fruit. With every step, you'll create opportunity for yourself—and that snowball effect can transform your life."— Curtis Northcutt Call to Action: Enjoy this episode? Like, share, and subscribe to "The Tech Trek" podcast! Share Curtis's inspiring story with someone who could benefit from it. Visit CleanLab.ai to learn more about how CleanLab is revolutionizing trust in AI systems.

In this episode of The Tech Trek, Amir Bormand sits down with Mayuresh Hajirnis, Director of Engineering at Altruist, to discuss his fascinating journey from QA to software engineering leadership. Mayuresh shares valuable lessons on bridging the gap between QA and engineering, creating a culture of quality, and how his background has shaped his leadership approach. Whether you're in QA, development, or aspiring to lead engineering teams, this episode offers actionable insights and inspiration. Key Takeaways: Crossing the Chasm Between QA and Engineering: Transitioning from QA to engineering requires understanding the full software development lifecycle and contributing beyond immediate responsibilities. Elevating QA as a First-Class Citizen: Building a culture where quality assurance is integral to the development process leads to better products and streamlined collaboration. Empowering Teams Through Collaboration: Involving developers in QA processes and vice versa fosters mutual understanding and strengthens overall product quality. Leadership Perspectives: Experience in QA provides a holistic view that is invaluable in engineering leadership, emphasizing both quality and delivery. Advice for Aspiring Engineers: Maintain a deep understanding of code, participate in cross-functional reviews, and develop empathy for both internal and external stakeholders. Timestamped Highlights: [00:00:00] Introduction to Mayuresh and his role at Altruist. [00:01:00] Mayuresh's journey from software development to QA at Yahoo. [00:02:53] Building automation frameworks and transitioning back into engineering. [00:05:00] Challenges and opportunities in moving from QA to core engineering. [00:07:00] Treating QA automation as a first-class citizen in software delivery. [00:10:17] Bringing visibility and recognition to QA contributions. [00:13:23] How QA experience influences engineering leadership. [00:17:26] Advice for QA professionals aspiring to transition to engineering. [00:21:17] The value of empathy in engineering leadership. [00:23:46] How to connect with Mayuresh for advice and insights. Quote of the Episode: "Quality is everyone's responsibility. By treating QA as a first-class citizen in the development process, we not only ensure better products but also build a culture of confidence and collaboration." – Mayuresh Hajirnis Call to Action: If you enjoyed this episode, don't forget to like, subscribe, and share with your network. Follow The Tech Trek for more inspiring conversations with leaders in technology! About Our Guest: Mayuresh Hajirnis brings a wealth of experience from QA and automation engineering to his current role as Director of Engineering at Altruist. He's passionate about fostering collaboration and championing a culture of quality across development teams.

In this episode, host Amir Bormand interviews Jehangir Abdulla, Head of Back Office Development at Schoenfeld, to discuss his unique journey from being a startup founder back to taking on a leadership role within an enterprise. Jehangir shares the lessons learned from his entrepreneurial experience, how he retained a founder's mindset in a corporate setting, and the challenges of balancing ambition with personal well-being. Jehangir also provides insights into decision-making, navigating career transitions, and fostering a startup mentality within a large organization. This episode offers valuable takeaways for tech professionals, founders, and enterprise leaders looking to integrate entrepreneurial agility into established systems. Key Takeaways: The Founder's Mindset: How entrepreneurial experience shapes decision-making and resource optimization in a corporate environment. Balancing Ego and Well-being: Overcoming the stigma of stepping away from a startup to prioritize personal and family needs. Bringing Agility to Enterprises: Applying lessons from startups to foster faster decision-making and flexibility in large organizations. The Transition Back to Corporate Life: Addressing employer concerns about hiring former founders and the value of founder experiences in the enterprise world. Timestamped Highlights: 00:00 – Introduction Overview of Jehangir's background and career journey. Discussion of his transition from founder to enterprise leader. 01:25 – Founding a Startup Jehangir shares his experience starting Maryland, a hedge fund software company. The challenges and rewards of building a profitable startup. 04:00 – Decision to Return to Corporate Jehangir discusses the toll of entrepreneurship on personal life and mental well-being. The pivotal moment when he decided to rejoin the enterprise. 07:00 – Lessons from Startups Applied in Corporations Carrying a founder's mindset into the enterprise. Decision-making and resource optimization influenced by entrepreneurial experience. 10:00 – Retaining Agility in a Corporate Setting Strategies for maintaining startup-style agility in a slow-moving enterprise environment. Encouraging teams to adopt a more entrepreneurial approach. 13:00 – Navigating Team Dynamics Building strong relationships with diverse teams and fostering independent decision-making. Empowering team members to grow through challenging tasks. 16:00 – Overcoming Ego and Embracing Transition Addressing fears about leaving a startup and the perceived stigma of returning to a job. The importance of being self-aware and honest about personal priorities. 18:00 – Advice for Founders Considering Corporate Roles Insights into how to position founder experience during job interviews. Communicating the value of entrepreneurial skills to potential employers. Final Thoughts: Jehangir's story is a testament to the importance of self-awareness and adaptability in career transitions. His ability to leverage his entrepreneurial experience to add value in the enterprise world offers a compelling roadmap for professionals navigating similar paths. Whether you're a founder, a corporate leader, or someone weighing career options, this episode is packed with actionable advice and inspiration. Listen to the full episode to dive deeper into Jehangir's journey and lessons learned. Share with someone who might benefit from these insights!

In this episode, host Amir Bormand sits down with Meg Sahni, Senior Director of Talent at Radical Ventures, to explore the intricacies of hiring for early-stage AI companies. With AI's rapid growth, Meg shares valuable insights on navigating a highly competitive talent market, building effective early teams, and establishing a strong employer brand. Key Takeaways: AI Startup Talent Categories: Understanding the differences between "AI-first" companies building foundational models and "applied AI" companies leveraging existing models. Strategic Team Building: Recruiting top-tier talent across research, engineering, and product management to support AI-first and applied AI initiatives. Employer Branding: The importance of participating in conferences, publishing technical content, and engaging in hackathons to attract and retain AI talent. Candidate Motivations: Why aligning with candidates' motivations and clearly articulating company vision are crucial for securing top talent. Lean Team Dynamics: How small, experienced teams at the staff and principal levels outperform in early-stage startups. Highlights with Timestamps: [00:01:35] Breaking down AI-first vs. applied AI companies and their distinct talent needs. [00:03:30] Challenges in recruiting specialized roles like machine learning engineers and data infrastructure experts. [00:07:38] Competitive hiring strategies: Crafting compelling narratives and discussing compensation philosophy. [00:09:37] The role of employer branding in attracting high-caliber talent. [00:14:52] Candidate decision-making: Weighing compensation and stability against impact and innovation. [00:19:47] Best practices for early-stage hiring: Avoiding over-hiring and prioritizing high-impact roles. Engage with Meg Sahni: Connect with Meg on LinkedIn to continue the conversation about hiring strategies in AI startups and beyond: https://www.linkedin.com/in/meg-sahni/ Tune in to this episode for actionable advice on building successful teams in the fast-paced world of AI!  

In this podcast episode, Amir Bormand sits down with Jason Luce, CTO of Paperless Parts, to discuss the evolution from DevOps to platform engineering. They dive deep into the reasons behind this shift, the cultural and technical changes required, and how organizations can implement platform engineering to enhance developer experience and business outcomes. Jason shares insights into the challenges and opportunities that come with adopting platform engineering, drawing from his experience leading the transformation at Paperless Parts. Whether you're leading a DevOps team or considering platform engineering for your organization, this episode is packed with practical advice and thought-provoking takeaways. Key Takeaways: Platform Engineering vs. DevOps: Platform engineering builds on DevOps principles but focuses on productizing systems to streamline developer workflows and reduce cognitive load. The Role of Developer Experience: Improving developer experience is key to increasing productivity and morale while reducing inefficiencies. Adopting Big Tech Practices: Lessons from companies like Netflix and Spotify can inform smaller organizations, but they must adapt these practices to their own scale and needs. The Importance of Consistency: Standardized systems and processes are critical for ensuring security, observability, and operational efficiency. Vision and Communication: Clear goals, a detailed roadmap, and open communication are essential for successful transitions to platform engineering. Timestamped Highlights: [00:01:00] Introduction to Jason Luce and Paperless Parts [00:03:00] What is Platform Engineering, and how does it differ from DevOps? [00:05:49] The skills gap: Moving from DevOps to platform engineering [00:07:58] The role of developer experience in platform engineering [00:10:17] Lessons from large-scale tech companies on platform adoption [00:14:42] Transitioning from a startup mindset to scalable engineering practices [00:18:09] What prompted Paperless Parts to embrace platform engineering? [00:20:47] Best practices and learnings from a year into the transition [00:23:14] The end goal: Building a scalable, efficient platform for the future Jason also discusses the importance of balancing short-term sacrifices for long-term gains and why fostering a culture of collaboration and clarity is critical for success. Don't miss this episode if you're looking to understand how platform engineering can transform your organization! Guest: Jason Luce has a proven track record as a customer-centric technology executive with over twenty-five years of experience building products that drive business success. He spent the first half of his career as a hands-on engineer and grew into leadership roles as he discovered a love for developing talent. Jason is currently CTO at Paperless Parts. Jason has driven results through many phases of scale journeys from pre-revenue startups to high-growth VC-backed companies to global public companies. At the core of each of these journeys is his ability to build global teams, develop strong leaders, and lead highly efficient operations that enable the rapid delivery of large-scale SaaS products. https://www.linkedin.com/in/jasonrluce/

In this insightful episode, Amir Bormand interviews Jim Conti, Talent Partner at Hyde Park Venture Partners, about redefining the value of people and talent functions. Jim shares strategies for evolving the role from being process-driven to a core strategic contributor, while highlighting the importance of aligning with business goals, automating admin tasks, and building impactful employee experiences. This episode is packed with practical advice for HR professionals, talent leaders, and anyone looking to amplify the value of their talent organization. Key Takeaways: Identify Your Org's People Function Priorities: The reporting structure and allocated budget reveal how much a company values its talent function. Evolve from Admin to Strategic: Focus on aligning talent initiatives with broader business goals and automate routine tasks to free up time for strategy. Build a Business Case for Talent Investments: Use data and ROI-driven arguments to gain leadership buy-in for new tools and initiatives. Set Boundaries Without People-Pleasing: Clarity and transparency in career development discussions create trust and empower employees without over-promising. Measure Talent Impact: Post-hiring surveys and bar-raiser metrics help show the business value of talent initiatives. Timestamped Highlights: [00:00:30] Introduction to the role of people and talent functions in organizations. [00:03:00] Key indicators of whether an organization views HR as strategic or process-driven. [00:05:14] Shifting the people function from admin-heavy to strategically aligned. [00:07:54] Building a business case for HR investments and gaining buy-in from leadership. [00:11:54] The importance of transparency and clarity in employee development conversations. [00:18:00] How talent leaders can demonstrate business value by engaging with stakeholders. [00:23:00] Questions to ask during the interview process to assess a company's strategic outlook on talent. [00:24:55] Matching organizational challenges to your personal career goals. If you're looking for actionable insights to elevate your talent organization, this episode is a must-listen.  Share it with your network to inspire more strategic thinking in the HR and talent space. Don't forget to like, comment, and subscribe to stay updated with the latest discussions in talent leadership! Jim Conti: https://www.linkedin.com/in/contijc/ Jim Conti is the Talent Partner at Hyde Park Venture Partners and has been with the firm since 2021. In this role, Jim provides strategic talent support and consulting to the firm's portfolio of companies. Prior to Hyde Park Venture Partners, Jim served as head of people at dscout and Sprout Social — both Chicago-based software startups. In these roles, Jim built, grew, and oversaw teams across recruitment, talent management, DEI, culture, HR, and benefits strategy. The impact of this work is seen in awards from Glassdoor, Chicago Tribune, Crain's Chicago, and Built in Chicago.

In this episode, Amir Bormand interviews Kevin Trilli, Chief Product and Technology Officer at Amount Financial, about balancing product and technology leadership. They explore the challenges and benefits of merging product and tech roles, managing technical debt, and aligning product vision with business goals. Kevin shares personal experiences, insights on engineering leadership, and the evolving impact of AI on product management. Key Takeaways: Merging Product & Tech Leadership: Combining product and tech roles can streamline decision-making but requires balancing business goals with technical feasibility. Customer-Focused Development: Aligning engineering and product teams around customer success fosters collaborative problem-solving and better outcomes. Technical Debt Management: Managing tech debt involves allocating resources strategically, minimizing replatforming, and balancing short-term needs with long-term sustainability. AI's Role in Product Development: Understanding AI technologies is critical for product managers as AI-driven solutions reshape development processes. Highlights: 01:25 - Combining Product and Tech Roles: Lessons from Leadership 03:45 - Engineering & Product Alignment for Customer Success 05:30 - Managing Feedback Loops Between Teams 09:10 - Balancing Business Goals and Technical Execution 12:55 - The Impact of AI on Product and Engineering Teams 18:20 - Navigating Technical Debt and Roadmap Trade-offs 24:50 - Making Long-Term Product and Tech Decisions Tune in for a deep dive into product-tech leadership, engineering strategy, and practical advice on building high-performing tech organizations. As Chief Product and Technology Officer at Amount, Kevin Trilli shapes the entire product and technology organization, crafting and executing the product vision, product and innovation strategy while overseeing software and technology development. With a history of global product and technology officer roles in venture-based SaaS companies, including fintechs Mambu and Onfido (acquired by Entrust), Kevin is instrumental in helping scaling companies to over $100M ARR. Trilli, a Sloan Fellow with an MS in Management from Stanford Graduate School of Business, also holds a BS in Chemical Engineering from the University of Illinois. His expertise extends to multifaceted growth, merging technical proficiency with executive leadership across almost a dozen unique product markets over his career. Kevin also advises and sits on the board for several companies in AI, Cleantech and financial technology. https://www.linkedin.com/in/trilli/

In this engaging episode, Amir Bormand interviews Marko Vasiljevic, CTO at Ghost, about the evolving nature of data teams and how businesses can better structure them in a rapidly changing tech landscape. The discussion covers the shift toward more engineering-driven data teams, the influence of AI on team composition, and how businesses can adapt to remain competitive. Marko also highlights the future of self-service data solutions and the decreasing technical barriers for companies of all sizes. Key Takeaways: Redefining Data Teams: The need for more engineering-driven data teams as traditional data roles evolve into more technical, systems-oriented functions. Data as a Product: Viewing data teams as creators of products that support business insights, moving beyond traditional data reporting. Self-Service Analytics: How businesses can build infrastructure that empowers teams with on-demand data access while reducing reliance on specialized data analysts. AI-Driven Change: The growing influence of AI in automating technical tasks and shifting the focus toward business-driven problem-solving. Future of Data Roles: The potential merging of technical and business roles as AI-driven automation reduces the need for deep technical expertise. Episode Highlights: [00:00] Introduction – Overview of the episode and guest introduction. [01:24] Defining Data Teams – How the traditional data team model is evolving. [03:42] Building Self-Service Data Systems – The path toward more accessible and scalable analytics. [06:05] DevOps for Data Analytics – Applying DevOps principles to data team operations. [09:48] Evolving Data Skillsets – Shifting from SQL-heavy roles to full-stack data engineering. [13:53] AI's Role in Data Teams – How AI will reshape data and software engineering functions. [17:29] Business-Driven Data Models – Encouraging product managers to lead tech initiatives. [21:55] Organizational Impacts – Where technical data roles should report in a modern organization. [28:33] Competitive Pressures – How automation lowers entry barriers and intensifies market competition. Don't miss Marko's valuable insights on building future-proof data teams and staying ahead in an AI-driven world. Like, share, and subscribe for more expert discussions! Guest: Marko is a seasoned technologist and CTO who's built and managed engineering, data, product, and design teams at several high-growth startups and unicorns. Marko also founded a few startups and successfully exited one. He's passionate about solving real-world problems with technology, and he is excited about the future of AI. https://www.linkedin.com/in/marmarko/

In this episode, Amir Bormand interviews Urvish Parikh, Co-Founder and CTO of Nirvana, to explore how machine learning is transforming the healthcare insurance landscape. Urvish discusses the challenges of working with legacy standards from the 1980s, how Nirvana addresses cost transparency issues, and the social responsibility of improving healthcare systems. Listeners will gain insights into integrating modern technology with entrenched systems and how Nirvana is making healthcare transactions more accessible and efficient. Key Takeaways: Legacy Standards Are a Double-Edged Sword The healthcare industry relies on outdated 1980s standards for transactions, creating inefficiencies but also providing a foundation to build upon. The Role of Machine Learning in Healthcare Nirvana uses machine learning to recompose scattered data, improving cost transparency and operational efficiency for billing teams. Cost Transparency Is Essential for Access Lack of transparency in healthcare costs creates financial strain and uncertainty for patients. Nirvana tackles this by increasing visibility into healthcare transactions. Social Responsibility in Innovation Urvish emphasizes the need to "tend to the system" by creating solutions that not only meet business needs but also address societal challenges. Feedback Loops Drive Better Machine Learning By engaging users in the process, Nirvana collects valuable data to improve and refine its models. Timestamped Highlights: 00:56 – The Mission of Nirvana: How Nirvana simplifies healthcare transactions to enhance cost transparency. 03:00 – Challenges of Legacy Standards: Why healthcare is still using 1980s-era systems and how Nirvana addresses this issue. 05:00 – Leveraging Machine Learning: How Nirvana uses AI to process and standardize healthcare data for better usability. 08:00 – Operationalizing Complexity: Making the healthcare system simpler for billing teams and patients. 10:00 – Social Responsibility in Healthcare Innovation: The broader mission of tending to a system that serves millions of people. 12:00 – Competing Incentives in Healthcare: Why some legacy organizations are slow to innovate. 15:00 – Adoption Challenges: How Nirvana ensures adoption by focusing on user-friendly workflows and specialization. 18:00 – Change Management and AI: The importance of addressing human factors when introducing new technology. 20:00 – Looking Ahead: Nirvana's vision for increasing cost transparency and improving healthcare systems. Memorable Quote:"Healthcare transactions rely on a 1980s standard, but with machine learning, we can make that old foundation work better for today's needs." – Urvish Parikh This episode is a must-listen for anyone interested in the intersection of technology, healthcare, and social impact. Don't forget to like, subscribe, and share! Guest: Urvish Parikh is a Cofounder and CTO of Nirvana, a healthtech company committed to simplifying the healthcare ecosystem by making cost for care more transparent and accessible. With over a decade of experience in software engineering and leadership, Urvish brings deep expertise in systems thinking and strategic innovation, driving meaningful changes that enhance outcomes across complex systems. https://www.linkedin.com/in/urvish-parikh-1534442a/

In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology. Key Takeaways: Cross-Disciplinary Expertise Fuels Innovation: Peter's diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI. The Value of Domain-Specific Knowledge: Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights. Leadership Through Continuous Learning: Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets. Building Data-Powered Systems: Altana's mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale. Balancing Technical and Business Leadership: Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success. Episode Highlights: [00:02:30] Blending Civil Engineering with Data Science [00:05:00] Founding Altana: The Why and How [00:08:00] Applying AI to Real-World Supply Chain Problems [00:12:00] Developing Scalable Data-Driven Solutions [00:16:00] Transitioning into Leadership and Management [00:20:00] Importance of Mentorship and Feedback [00:24:00] Leadership Lessons for Technical Founders [00:28:00] How to Stay Passionate and Focused Connect with Peter Swartz: Website: Altana.ai LinkedIn: https://www.linkedin.com/in/pgswartz Don't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.

In this insightful episode, host Amir speaks with Tanaz Mody, Head of People Operations and Talent at Lerer Hippeau, to explore the unique challenges founders face in hiring and leadership. The conversation highlights the complexities of transitioning from founder to CEO, building trust, and making strategic hiring decisions in early-stage startups. Tanaz provides practical advice on delegation, setting expectations, and the evolving role of People Operations in supporting business growth. Episode Highlights Founders and Hiring Challenges The emotional attachment founders have to their business often makes hiring decisions difficult. Common pitfalls in hiring due to lack of alignment on company needs. Delegation and Trust The importance of founders learning to delegate effectively and trust their teams. Building safe spaces for transparent communication and collaboration. Strategic Decision-Making Setting milestones and frameworks to align hiring with business goals. How People Operations can facilitate smoother transitions during early-stage growth. From Founder to CEO The mindset shift required to evolve from a hands-on founder to a strategic CEO. Overcoming the challenges of scaling leadership and adapting to new roles. VC Talent Partners' Role Unique insights from VC-backed talent advisors to help startups scale efficiently. Support for founders in aligning business strategy with leadership growth. Key Takeaways Trust and Delegation are Non-Negotiable Founders must embrace delegation and trust their team to scale the business effectively. Strategic Hiring Requires Milestones Establish clear benchmarks to ensure hires align with the company's current and future needs. Transitioning to CEO Requires a Mindset Shift Founders need to focus on big-picture strategy rather than micromanaging daily tasks. People Operations is Key to Scaling A well-defined People Ops strategy ensures smoother transitions and long-term growth. Listen now for actionable insights on building a stronger team, scaling leadership, and navigating the founder-to-CEO journey! Don't forget to like, share, and subscribe for more engaging conversations with industry leaders. Guest:  Tanaz Mody is the Head of People Operations and Talent at Lerer Hippeau, where she drives strategic hiring and fosters high-performing teams. With extensive experience across industries, she specializes in innovative recruitment strategies, inclusive work environments, and aligning talent with organizational goals. LinkedIn:  https://www.linkedin.com/in/tanazmody/ ---- Thank you so much for checking out this episode of The Talent Tango. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode of The Tech Trek, host Amir sits down with Shawn Stewart, VP of Engineering at Apartment List, to unpack the complex dynamics between individual contributors (ICs) and managers. Shawn offers a deep dive into career progression, fostering growth, and building aligned high-performing teams. This episode is packed with actionable insights for ICs and managers striving to improve their professional relationships, promote effectively, and maintain team cohesion. Episode Highlights: Understanding Manager-IC Dynamics (00:10) Shawn explains the nuances of the relationship between ICs and managers, highlighting mutual responsibilities for growth and success. Career Progression and Managerial Roles (01:41) Managers play a crucial role in shaping the career paths of their team members. Shawn delves into how managers can act as career enablers, providing guidance, feedback, and opportunities. Challenges in Manager-IC Relationships (03:59) Navigating conflicts, differing goals, and maintaining alignment between ICs and managers is key to a harmonious workplace. Importance of Calibration and Objective Evaluations (10:45) Shawn emphasizes the need for managers to calibrate team performance and conduct objective evaluations to avoid bias and ensure fairness. Promotion and Growth Strategies (16:52) Shawn shares strategies for promoting ICs effectively and highlights the importance of setting clear growth paths and expectations. Actionable Advice for Managers and ICs (20:58) Practical tips for managers to build trust and lead with empathy, and for ICs to communicate effectively and take ownership of their growth. Key Takeaways: Manager-IC Relationships Are a Two-Way Street Both parties must invest in understanding, trust, and open communication to thrive. Managers Are Career Enablers Their primary role is to align team goals with individual aspirations while providing mentorship and support. Calibration Ensures Objectivity Regular alignment on evaluations helps maintain fairness and prevents biases in promotions and feedback. Career Growth Requires Deliberate Effort Both ICs and managers must plan and execute career development strategies actively. Tune in to hear Shawn's expert insights and practical advice for navigating the challenges of the modern workplace. Don't forget to like, subscribe, and share this episode with your network! Shawn Stewart is a seasoned software engineer and entrepreneur with a track record of innovation and success. He began his career running his own software business and contributing to multiple startups with successful exits. As a software engineer at Sportline.com, later acquired by CBS to become CBSSports.com, Shawn earned over 15 software patents and contributed to major platforms like NFL.com, MLB.com, and the Emmy-winning March Madness on Demand. He has since led critical development initiatives at Fidelity Investments, LinkedIn, Ultimate Software, and Gusto. Currently, Shawn leads engineering at Apartment List, leveraging machine learning and generative AI to revolutionize the renter experience.LinkedIn: https://www.linkedin.com/in/irietek/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode of The Tech Trek, Amir Bormand is joined by Neil Bhandar, VP of IT Enterprise Data Analytics and Innovation at Generac Power Systems, to discuss the evolving role of data in business strategy and decision-making. Neil shares his insights on aligning technical capabilities with strategic goals, reducing the "cost of curiosity," and the transformative power of generative AI. Key Discussion Points: Aligning Business Strategy with Technical Capabilities:Neil emphasizes ensuring technical capabilities align with business goals, enabling organizations to create meaningful value. The Role of Data in Decision-Making:Data's ability to maintain a balanced perspective is crucial for making informed, strategic business decisions, especially in dynamic environments. Generative AI and Business Transformation:Neil explores how generative AI reshapes industries and why business leaders must develop a deeper understanding of its potential to stay competitive. Reducing the "Cost of Curiosity":Learn how organizations can make exploring insights easier and more affordable, fostering innovation without escalating costs. Future of Data TechnologyNeil discusses where data technology is headed, including its pivotal role in corporate strategy and innovation. Takeaways: This episode offers actionable insights for data leaders and executives looking to: Foster alignment between strategy and technology. Embrace AI as a competitive differentiator. Build data-driven cultures that empower informed decision-making. Drive innovation while managing operational costs effectively. Tune in to hear Neil's expert perspectives and practical advice for navigating the ever-evolving data and technology landscape. Guest: Neil Bhandar is the Vice President of IT Enterprise Data Analytics and Innovation at Generac Power Systems. With over two decades of experience in data analytics, business intelligence, and IT strategy, Neil specializes in transforming technical capabilities into strategic business outcomes. He has a proven track record of driving innovation, optimizing operational processes, and leading cross-functional teams to harness the power of data in decision-making. Neil is passionate about aligning technology with business goals to foster growth and efficiency, making him a respected leader in enterprise data analytics. https://www.linkedin.com/in/NeilBhandar/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir welcomes Jim Olson, CTO of ModelOp, to discuss the intricate topic of AI governance. Jim explains AI governance's critical role in integrating foundational models into organizations, emphasizing regulatory compliance and business performance.  He outlines the process of implementing AI solutions, distinctions from traditional technology projects, and common use cases like chatbots and summarization tools. Key areas discussed include the importance of an inventory for AI models, steps in the governance process, handling regulations, and ensuring AI models meet business goals.  Highlights: 01:20 Implementing Foundational Models in Business 04:07 Defining AI Governance 07:09 The Importance of AI Governance 14:14 Performance Metrics for AI Solutions 19:19 AI Governance in Practice 21:48 Future of AI Governance Guest: Jim Olsen is the Chief Technology Officer at ModelOp, where he leads the design and development of ModelOp Center, a cutting-edge product for AI Governance. With over 40 years of experience in software across a wide range of industries, Jim brings a wealth of expertise to his role. Currently, he works remotely from his off-grid cabin in Colorado, exemplifying his unique approach to innovation and technology leadership. LinkedIn: https://www.linkedin.com/in/jimolsen/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this insightful episode, Amir engages with Dina Singleton, Chief HR Officer at Kajabi, to discuss the multifaceted challenges women encounter in the workplace. Topics include navigating the delicate balance of work and personal life, returning to work after childbirth or surgery, and the often-overlooked impact of menopause.  Dina emphasizes the importance of fostering supportive and inclusive environments, proactive communication, and self-advocacy. Through personal anecdotes and expert advice, this episode offers practical insights into how organizations and individuals can better support women's professional and personal journeys.  Highlights: 01:16 Challenges Women Face in the Workplace 01:54 Finding Your Voice and Performance Issues 06:00 Personal Story: Navigating Health Issues at Work 09:59 Return to Work and Remote Work Challenges 13:24 Navigating Work During COVID-19 14:35 Family Leave and Career Impact 17:13 Future-Proofing Your Career 18:47 Addressing Anxiety and Self-Improvement 19:56 Challenges of Menopause in the Workplace 25:00 Advocating for Yourself and Others Guest: Dena Singleton is the Chief People Officer at Kajabi, a leading platform empowering creators to build, market, and sell online courses and content. With a career spanning over two decades in human resources and organizational leadership, Dena excels in driving people-first strategies that align with business goals. Her expertise includes scaling teams, fostering inclusive cultures, and leading through transformational change. Dena is passionate about creating environments where employees thrive and businesses succeed, leveraging her deep knowledge of talent development, DEI initiatives, and strategic workforce planning. LinkedIn: https://www.linkedin.com/in/hellofromdena/ ---- Thank you so much for checking out this episode of The Talent Tango. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Join us as Amir engages with Ken Kao, VP of Engineering at Rad AI, in a riveting discussion on the intersection of technology, business, and innovation.  They dive into how tech differentiation can give companies a competitive edge and how engineers can act as artists and problem solvers beyond just writing code. The episode explores Rad AI's innovative application of GenAI in radiology and strategies to empower software engineers by integrating them into business conversations. Learn practical steps to bridge the gap between tech and business, future trends in engineering roles, and empathy and problem-solving skills in fostering technical and business growth. Highlights: 01:40 The Role of Engineering in Company Differentiation 02:42 Examples of Tech Differentiation 06:50 Dynamic Nature of Tech Differentiation 09:37 Empowering Engineers for Innovation 10:39 Shifting Engineers Left in Business Discussions 11:47 The Competitive Edge of Embracing Gen AI 12:47 The Evolving Role of Software Engineers 13:19 Shift Left: Engineers as Problem Solvers 14:38 Engineers as Artists: Beyond Code Writing 16:54 Bridging the Gap: Engineers and Business 17:43 Skills for the Future: Empowering Engineers 20:40 Automation and the Future of Engineering ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand speaks with Amnon Mishor, Gynger's CTO, to discuss the concepts of startup and founder resilience. Mishor shares insights from his experiences with multiple startups, emphasizing the importance of resilience in founders and companies, especially in challenging economic times.  He discusses Gynger's role in providing embedded financing solutions for technology purchases and the concept of responsible growth, offering practical advice on navigating difficult business environments. The episode also explores the balance between striving for growth and maintaining responsible business practices.  Tune in to gain valuable perspectives on building a resilient startup. Highlights: 01:44 Defining Resilience in Startups 03:23 Challenges in Difficult Times 04:23 Personal Experiences and Lessons 10:45 Responsible Growth vs. Rapid Expansion 22:23 Focus and Product Strategy Guest: Amnon Mishor is the Chief Technology Officer at Gynger, a leading B2B fintech, where he spearheads technological innovation and strategy. With over 20 years of experience in tech entrepreneurship, Amnon excels in big data, AI, and SaaS. Before joining Gynger, he founded Leadspace, a customer data platform for B2B enterprises. Amnon has led the development of cutting-edge global data and AI solutions for major tech giants, including Salesforce, Nvidia, and Microsoft. His distinguished career also includes leading the data analytics Department in the Israeli Defense Force's Technological Intelligence Unit. Amnon holds a B.Sc. in Computer Science and a Master's in Economics. LinkedIn: https://www.linkedin.com/in/amnonmishor/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Join us for an in-depth conversation with Anant Gupta, SVP of Engineering and Data Science at Included Health, as we explore career progression in the tech industry. Discover the journey from senior engineering roles to leadership positions and the essential skills needed at each stage.  Anant shares practical analogies, valuable lessons from his LinkedIn and Uber experiences, and the importance of skill development over simply climbing the career ladder. Learn about the nuances of transitioning into management, finding fulfillment beyond traditional career paths, and navigating the complexities of career growth and happiness in tech.  Whether you are focusing on technical mastery or aspiring to lead teams, this episode offers indispensable advice for advancing your professional journey. Highlights: 01:30 Challenges in Career Progression 02:33 The Chef Analogy for Career Growth 03:45 Skills Beyond Engineering 05:22 Transitioning to Leadership Roles 07:00 The Importance of Coaching and Mentorship 09:04 Personal Career Reflections 13:10 Navigating Career Growth Decisions 14:00 Technical Excellence vs. Management Path 15:49 Finding Joy in Your Career Path 17:20 The Importance of Honing Your Craft 19:15 Understanding Career Progression 20:23 Focusing on Skills Over Titles 21:40 Reflecting on Career Choices Guest: Anant Gupta is the SVP of Engineering and Data Science at Included Health, leading technology initiatives to redefine healthcare. Anant believes in the transformative power of technology to fundamentally alter how we live and interact with the world around us. He oversees initiatives that harness AI, comprehensive data platforms, and consumer technology to make healthcare more predictive, personalized, and accessible—aligning with the company's vision of personalized, all-in-one healthcare. Before joining Included Health, Anant held significant roles at pre-IPO giants such as Uber and LinkedIn, managing large, multidisciplinary teams. His leadership is characterized by a commitment to leveraging technology for impactful solutions and a dedication to team development. By fostering a culture of collaboration and excellence, Anant consistently drives substantial innovations, reinforcing his commitment to transforming how we experience and benefit from advanced technology. LinkedIn: https://www.linkedin.com/in/anantgupta1/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Join us in this insightful episode featuring Ron Williams, founder and CEO of Kindle, as we explore the transformative impact of AI on business and enterprise software.  Discover the complexities and prospects of AI models and how Kindle's orchestration platform aids businesses in managing and securing AI data. Critical discussions include AI's role in changing job roles, the potential disruption to established platforms like Salesforce and Workday, and the risks and benefits AI brings compared to traditional cloud services.  Gain valuable insights from industry leaders such as NVIDIA and Microsoft, and learn why proprietary AI models are essential for staying competitive in today's tech landscape.  Don't miss this comprehensive dive into AI's role in shaping the future of business. Highlights: 01:58 AI Models and Business Implications 02:52 Security Concerns with AI 06:39 AI in the Workplace 09:47 Personalized AI and Future Prospects 13:55 Apple's Approach to Data Privacy 14:40 The Evolution of Enterprise Technology 15:23 AI's Impact on Traditional Software 17:48 The Future of AI in Business 20:01 Building Your Own AI Models Guest: Ron Williams is an accomplished leader with a strong background in technology and business management. He has held significant roles in major tech companies, contributing to product development, strategy, and innovation. With expertise in building and scaling products, Ron drives customer-centric solutions and fosters collaborative team environments. His career highlights include leading product initiatives that enhance user experience and deliver measurable business impact. ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

Join us for this exciting episode, in which we explore how companies are harnessing the power of hackathons, artificial intelligence, and data science to drive innovation and business growth.  Discover the strategic approaches behind organizing hackathons, encouraging employee creativity, and turning innovative ideas into impactful products.  Learn from John Coles of ACV Auctions about how AI and machine learning are revolutionizing the car sales industry, optimizing inventory, and enhancing personalized recommendations.  Gain insights into the importance of upskilling teams and the role of analytics in making data-driven decisions, and hear success stories of projects born from hackathons that have significantly contributed to business growth and customer satisfaction. Highlights: 05:26 Data-First Approach and Hackathon Culture 07:20 Empowering Innovation through Hackathons 09:28 Connecting Hackathon Ideas to Business Goals 11:58 Frequency and Impact of Hackathons 13:01 Platform Capability and Product Delivery 13:18 Cadence and Team Culture 14:16 Hackathons and Innovation 17:00 Upskilling and Implementation 18:44 Hackathon Project Examples 20:53 Data Science and Business Impact Guest: John Coles, Ph.D. is the Vice President of Data Science and Analytics at ACV, where he leads data infrastructure, machine learning and data analytics strategy. Prior to joining ACV, Dr. Coles held many leadership roles, including Chief Technology Officer and Chief Product Officer of Bronze Trident Inc., a startup in Buffalo, New York, where he designed the business model and product plan for an automated tax challenge software. Dr. Coles was recently recognized as an Auto Remarketing ‘40 Under 40' Honoree (2021) and was awarded the Koopman Prize from the Military Appreciations Society of the Institute for Operations Research and the Management Sciences (INFORMS)—among other accolades. He holds a Bachelor of Science from the University at Buffalo, a Master of Engineering from Texas A&M University, and a Ph.D. in Operations Research from the University at Buffalo. LinkedIn: https://www.linkedin.com/in/john-coles-28311015/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this insightful episode, tech and business leaders come together to discuss the pivotal role of technology in driving business engagement and success. Anil Choudary, CTO at Alliant Credit Union, shares his expertise on managing tech debt and evolving legacy systems. At the same time, other discussions focus on integrating Gen AI, organizational culture, and empowering engineers through hackathons. Learn how companies adapt product team strategies, simplify big ideas, and leverage public cloud services to foster innovation and co-innovation between business and engineering teams. Tune in to discover actionable strategies and challenges in the ever-evolving tech landscape. Highlight: 00:38 Understanding Tech Debt and Business Engagement 03:13 Balancing Business Priorities with Technology 04:07 Communicating Tech Debt to Business Leaders 04:58 Addressing Legacy Systems and Technical Debt 08:13 Emerging Technologies and Gen AI 10:50 The Role of Culture in Technology Adoption 12:51 Empowering Engineers Through Hackathons 13:44 The Role of Hackathons in Innovation 14:28 Bridging the Gap Between Business and Technology 15:15 The Debate: More Hackathons, More Innovation? 16:17 Adopting a Product Mindset 18:48 Learning from Leading Tech Companies 22:16 The Shift Towards Generative AI Anu Choudary is a seasoned technology leader with extensive experience in driving digital transformation and strategic business initiatives. With a background in both technical and managerial roles, she excels at bridging the gap between business objectives and technological innovation. Anu has led high-impact projects in areas such as cloud computing, enterprise architecture, and software development, demonstrating a keen ability to align IT solutions with organizational goals. Known for her collaborative approach, she fosters cross-functional solid relationships and emphasizes the importance of mentorship and team development. Her expertise positions her as a valuable asset in leading technology-driven growth and change within organizations. LinkedIn: https://www.linkedin.com/in/achoudary/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand engages with Dana Lawson, the CTO at Netlify, to discuss the multifaceted journey from a VP position to becoming a CTO. The conversation delves into the essential skills required, the significance of mentorship, and the societal pressures of career progression. Dana addresses the evolving job market and organizational demands due to the pandemic while emphasizing that the role of a CTO is not the sole benchmark of success. She highlights the crucial balance between technical expertise and strategic decision-making, the importance of empathy in leadership, and fostering collaboration across departments. The discussion also covers continuous learning, the value of networking and mentorship, and maintaining vulnerability in leadership. Dana concludes by offering advice to aspiring leaders and sharing how to connect with her for further career guidance. Highlights: 00:09 Understanding the CTO Role 00:35 Netlify's Mission and Dana's Journey 01:08 The Value of Different Leadership Levels 03:27 Challenges and Perceptions in Career Progression 08:18 Skills Crucial for a CTO 11:56 Transitioning from Technologist to CTO 12:57 Balancing Act: Staying Informed Without Micromanaging 14:39 The Weight of Decision-Making at the CTO Level 15:50 Seeking Support: Mentors and Networks 18:55 The Importance of Vulnerability in Leadership 19:52 Advice for Aspiring CTOs Guest: Dana Lawson is the Chief Technology Officer (CTO) at Netlify, where she leads the company's technical strategy and innovation efforts. With over two decades of experience in engineering and leadership roles, Dana has a proven track record of building and scaling high-performing teams across various industries. She is passionate about fostering collaborative, inclusive work environments and driving impactful technological solutions. Throughout her career, Dana has been a strong advocate for mentorship, continuous learning, and diversity in tech. Her expertise spans both technical and strategic decision-making, making her a respected leader in the tech community. LinkedIn: https://www.linkedin.com/in/dglawson ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand is joined by Utkarsh Sangi, Head of Engineering at EarnUp, to explore the pivotal transitions in an engineering career. They discuss the skills necessary to surpass the senior engineer level and why some opt to stay. Furthermore, the episode delves into managers' roles in mentoring and guiding engineers, emphasizing the need for trust and relevant experience from managers. Key topics include the subjective nature of skill assessments, the transition from senior to staff engineer, the importance of leadership development, and the dynamics between personal satisfaction and career growth. Utkarsh shares practical advice on career progression, problem-solving, and further mentorship opportunities, rounding out an episode filled with actionable insights for engineers and managers alike. Highlights: 01:06 The Senior Engineer Role: Definition and Expectations 02:41 Why Senior Engineer is a Terminal Position 06:50 The Role of the Manager in Career Progression 09:03 Mentorship and Choosing the Right Career Path 10:41 Subjectivity in Skill Assessment and Promotions 14:16 The Skill of Skill Acquisition 14:45 Impact and Role Change 16:48 Delegation and Managerial Skills 17:55 Leadership Development 20:18 Mentorship and Personal Development 22:34 Managing Senior Engineers Guest: Utkarsh Sangi is the Head of Engineering at EarnUp, a company focused on transforming mortgage servicing through technology. With a strong background in software engineering and technical leadership, Utkarsh has held key roles in scaling teams, driving product innovation, and managing complex engineering projects. His expertise spans various industries, including financial services and tech startups. Utkarsh is passionate about mentoring engineers, developing team leadership, and fostering a collaborative work environment that balances technical excellence with business outcomes. His experience and insights have positioned him as a leader in navigating the evolving demands of modern engineering organizations. ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this podcast episode, the host interviews Brian Young, Director of Engineering at Grindr, about the concepts of scale and tech debt in the tech industry. Brian shares insights from his career at major companies like Wayfair and Amazon, highlighting the unique challenges each faced with scaling their systems. He explains the CAP theorem and its implications on consistency, availability, and partition tolerance within large-scale applications. The conversation also delves into the balance of art and science required in scaling, the significance of 'YAGNI' in software design, and the necessity of revisiting technical debt. Brian discusses how contextual understanding is vital for addressing tech debt and explores new technologies like AI-assisted coding tools, which may aid in managing tech debt in the future. Highlights: 00:47 Understanding Scale in Tech 02:48 Designing for Scale at Amazon 05:20 Scaling Strategies at Grindr 06:31 The Art and Science of Scaling 09:59 Technical Debt: A Necessary Evil? 17:53 The Role of Context in Software Engineering 20:50 Future of Tech Debt and AI Solutions Guest: Brian Young (he/him) is Director of Engineering at Grindr, the number 1 social network for the LGBTQ+ community. With more than 13 million monthly active users in virtually every country, Grindr has become a fundamental part of the LGBTQ+ community since its launch in 2009. The company continues to expand its ecosystem to enable gay, bi, trans, and queer people to connect, express themselves, and discover the world around them. Brian has spent 25 years in the software industry as an engineer and leader and has worked at large companies, including Amazon and Wayfair, and start-ups. Brian has built high-scale / low-latency distributed systems, microservices, backend solutions, web apps, and mobile apps and worked in almost every tech stack from dcom and dll hell to modern cloud-based microservices. LinkedIn: https://www.linkedin.com/in/briankyoung/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, the host, Amir, speaks with Naama Stauber Breckler, Co-Founder and CEO of Better Health, and Adam Breckler, Co-Founder and Head of Product at Better Health. They discuss the company's unique approach to improving patient care for those with chronic conditions through easy access to medical supplies and a robust peer support network. The conversation covers the challenges in patient care, the complexities of the healthcare system, and how Better Health leverages data and AI to enhance patient outcomes. The emphasis is on meeting patients' needs emotionally and practically, providing them with options and support through technology and human interaction. Highlights: 02:41 Challenges in Patient Care and Outcomes 04:43 Navigating the Healthcare System 06:25 Data Collection and Standardization Issues 08:01 Adapting to Manual Processes in Healthcare 11:56 Building Relationships with Payers 13:35 Focusing on Patient Experience 19:35 The Importance of Peer Support 29:39 Leveraging AI and Technology Guest: Naama Stauber Breckler: https://www.linkedin.com/in/naamastauber/ Naama is a software engineer and a product manager turned healthcare entrepreneur. She has founded three healthcare companies in the medical device and diagnostics space. Better Health was born from her experiences identifying gaps in quality of care for individuals with chronic conditions living at home. Naama holds an MBA from the Stanford Graduate School of Business and an undergrad in Computer Science. Adam Breckler: https://www.linkedin.com/in/adambreckler/ Adam is an experienced product builder, growth marketer and serial entrepreneur. Previously he was founder of Prism Labs (YC S17), Co-Founder and VP of Product at Visual.ly (acquired by ScribbleLive), and founder of Savebrite.com, a leading Internet coupon-search portal. Adam started his career as a web developer for various Internet startups including Mint.com, he holds a BA in economics and philosophy from UCSD. ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir hosts Dave McGann, the CTO of Self Financial, to discuss scaling strategies in technology companies. Dave shares his experiences working with venture capital (VC) and private equity (PE)-backed companies, detailing different growth strategies and company cultures. He highlights the importance of a cohesive early team, understanding financials, and the role of leadership in scaling businesses. The conversation delves into the differences between VC and PE environments, focusing on people, product market fit, and financial management. Dave offers insights into successful exit strategies and the skills necessary for technologists to adapt to various business structures. The episode wraps up with practical advice for tech professionals aiming for success in scaling and exiting companies, offering listeners a chance to connect with Dave for further mentorship. Highlights: 02:04 Differences Between VC and PE Backed Companies 02:42 Scaling Strategies in VC Backed Companies 04:44 Scaling Strategies in PE Backed Companies 08:17 Cultural Influence and Leadership in Different Company Sizes 12:22 Transitioning from VC to PE: Challenges and Learnings 18:55 Evaluating Job Opportunities and Company Potential 23:38 Advice for Aspiring Leaders and Final Thoughts Guest: David McCann is a seasoned technology and product executive with over 20+ years of experience in the software industry. As the Chief Technology Officer (CTO) at Self Financial, Inc., David is passionate about helping people build credit through innovative, scalable, and secure fintech solutions. He has a proven track record of driving significant business outcomes, having been involved in over $5 billion in transactions, including a notable $1+ billion transaction with Carlyle during his tenure as CTO at Abrigo and the successful exit of Accurent to Fortive for approximately 2.1 billion USD in 2019. David's career is marked by his leadership in scaling cross-platform technology organizations, his expertise in mergers and acquisitions, and his deep knowledge of software development and cloud computing. He has held prominent roles such as CTO at Accruent and CLEAResult, where he led technology-driven solutions to meet the needs of businesses and consumers alike. Beyond his role at Self Financial, David serves as a Chief Technical Advisor at Cove Strategy Partners, advising private equity-backed growth firms in the enterprise SaaS market. His extensive experience includes supporting over 50 acquisitions and contributing to product and architecture design. LinkedIn: https://www.linkedin.com/in/damccann/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)