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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.
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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.
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Saknas det avsnitt?
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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.
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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!
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In this episode, Amir sits down with Spencer Lourens, Chief Data Officer at CLA, to discuss the intersection of business strategy and data strategy. Spencer shares his insights on aligning organizational goals with data initiatives, understanding stakeholder priorities, and balancing short-term wins with long-term strategies. This conversation is a must-listen for anyone navigating the complex relationship between business needs and data-driven solutions.
Key Takeaways:
Start with the Business Problem: Effective data strategies begin with understanding the core business problems and goals.
Spend Time with Stakeholders: Building relationships and truly understanding stakeholder pain points are essential for creating impactful data solutions.
Balance Effort and Impact: Prioritize initiatives based on their potential business value versus the effort required to execute them.
Short-Term Wins vs. Long-Term Goals: Ensure that short-term solutions align with broader business strategies to avoid creating unnecessary technical or data debt.
Transparency is Key: Sharing the "why" behind decisions fosters collaboration and alignment across teams.
Highlights:
[00:01:00] Introduction to CLA and Spencer's RoleSpencer describes CLA's multifaceted professional services and his responsibilities as Chief Data Officer.
[00:02:21] Listening for Pain Points and Visionary TriggersHow Spencer identifies key business challenges and stakeholder priorities during meetings.
[00:05:11] Taking the Time to Understand ProblemsWhy building meaningful relationships and thoroughly understanding business issues leads to better solutions.
[00:07:00] The Importance of a Proof-of-Concept PhaseSpencer highlights the value of small, exploratory projects in refining strategies and solutions.
[00:10:00] Balancing Stakeholder ExpectationsStrategies for managing competing priorities and making tough decisions as a data leader.
[00:15:26] Short-Term Wins vs. Long-Term SolutionsThe challenges of delivering quick results while staying aligned with long-term objectives.
[00:20:00] Addressing Data Debt in the Age of AISpencer shares his perspective on tackling data debt and integrating AI into data strategies.
Closing Thoughts:
Spencer Lourens offers a grounded approach to aligning data and business strategies, emphasizing the importance of collaboration, transparency, and thoughtful decision-making. Whether you're a data professional, technology leader, or business strategist, this episode provides actionable insights to help you navigate the challenges of data-driven transformation.
Connect with Spencer: Reach out to Spencer on LinkedIn to continue the conversation or learn more about his work at CLA. https://www.linkedin.com/in/spencer-lourens-694568b0/
Like, share, and subscribe to "The Tech Trek" for more discussions with industry leaders.
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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/
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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/
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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/
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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 ParikhThis 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/
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In this episode, Michael Hudes discusses the evolving landscape of advertising and media, focusing on how connected screens are reshaping consumer engagement. He explores how LG Ad Solutions leverages data, personalization, and advanced technologies to redefine advertising on connected TVs and other screens. The conversation covers key innovations in the connected TV ecosystem, privacy considerations, and the future potential of AI-driven advertising.
Key Takeaways:
The New Definition of TV: The term "TV" has evolved into "screens connected to the internet," with viewing habits now revolving around streaming and interactive experiences.
Bespoke Consumer Experiences: LG Ad Solutions creates tailored consumer interactions through its ecosystem of connected screens, from home TVs to in-car displays and hospitality settings.
Data-Driven Personalization: While maintaining strong privacy compliance, LG uses first-party data and machine learning to create more relevant and engaging advertising experiences.
Tech-First Business Model: LG Ad Solutions has evolved into a technology-driven platform business, using AI to optimize its advertising operations and content delivery.
Episode Highlights:
00:00 - Introduction: Michael Hudes joins the show to talk about the future of media and advertising.
01:00 - Redefining Television: The shift from TV as a playback device to a connected screen for video, content, and more.
03:30 - Connected Screens Beyond TV: Opportunities in connected appliances, hotel rooms, and in-car displays.
07:15 - Privacy and Data Use: How LG balances personalization with strict privacy compliance.
10:50 - Personalized User Experiences: Examples of reducing friction through smart, connected experiences.
15:00 - Future of Advertising: How AI and machine learning will play a critical role in optimizing both consumer-facing and operational processes.
20:45 - Becoming a Platform Business: LG's transformation into a platform-driven company focused on connected experiences.
23:00 - Final Thoughts: Michael Hudes shares insights on industry trends, future growth, and building a responsible, tech-driven business.
Listen Now: Discover how LG Ad Solutions is shaping the future of advertising and consumer engagement through connected screens, cutting-edge tech, and responsible data use.
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Guest: Andrew Bihl, Co-Founder & CTO at Numeric
Overview:
In this episode, Andrew Bihl discusses how engineering teams can better integrate customer feedback into their development processes. He explores the concept of product engineering, the challenges of context switching, and how engineers can stay close to the customer while maintaining productivity. This episode is essential for tech leaders looking to create a culture where engineers are empowered to solve real customer problems.Key Takeaways:
Customer Proximity Matters:
Engineers should be directly exposed to customers to better understand product requirements and make informed decisions. Avoiding multiple layers between engineers and customers reduces miscommunication and lost context.Context Switching is Costly:
Interruptions during deep work can derail productivity. Effective scheduling and batching of meetings minimize disruptions and maximize focus time for engineers.Product Engineers Build with Ownership:
Product engineers should be involved from problem definition to implementation. Empowering engineers with context improves their ability to make real-time product decisions.Balancing Business Needs with Engineering Focus:
Organizations should facilitate a balance between business engagement and technical execution. Cross-functional collaboration through structured processes prevents common bottlenecks.Highlights:
[00:02:26] Defining the Role of a Product Engineer
[00:03:44] How Customer Feedback Typically Reaches Engineers
[00:05:04] Importance of Engineers Talking Directly to Customers
[00:06:54] Breaking the "Engineers Just Want to Code" Stereotype
[00:08:28] Challenges of Context Switching in Engineering
[00:13:24] Translating Engineering Work to Non-Technical Teams
[00:15:55] Effective Collaboration Between Product Managers and Engineers
[00:17:55] Real-World Example: How Numeric Handles Customer Feedback
[00:20:42] Adjusting the Product Roadmap Based on Customer Insights
[00:24:28] Managing Multiple Roles as a CTOFinal Thought:
Empowering engineers with a deep understanding of customer needs leads to better product development and more fulfilling careers. If you’re looking to refine your product development process and improve customer-driven engineering, this episode is packed with actionable insights.Like, share, and subscribe to stay updated on future episodes exploring leadership, product innovation, and engineering excellence.
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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.
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In this episode, Greg Hahn, a data strategy and governance leader, shares deep insights on building a robust data strategy, navigating AI readiness, and the growing impact of privacy laws. The discussion covers essential pillars of data management, aligning business objectives with data strategy, and how organizations can future-proof themselves through proactive governance.
Key Takeaways:
Data Strategy & Maturity: Build an enterprise-wide strategy aligned with business goals for long-term success. Governance Frameworks: Adopt proven frameworks like DMBoK to streamline governance and boost data quality. AI Readiness: Ensure data integrity, strong infrastructure, and empowered teams before scaling AI initiatives. Privacy Compliance: Embrace evolving privacy laws as opportunities to strengthen trust and operational transparency.Highlights:
01:00 Understanding Data Strategy & Maturity Curve 03:00 The Importance of Foundational Data Elements 05:00 Leveraging Frameworks for Quick Data Strategy Assessment 09:00 AI Readiness and Data Management Challenges 13:00 Data Literacy and Workforce Enablement 16:00 Governance, Security & Data Integrity 19:00 Navigating Privacy Laws and Regulatory Compliance 23:00 The Future of Data-Driven Decision-MakingListen Now: Discover actionable strategies for transforming data into a competitive advantage through enterprise-wide governance, AI readiness, and compliance excellence. Share this episode with data leaders ready to enhance their data strategies.
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,In this episode, Amir hosts Steve Van Lare, VP of Engineering at Anjuna Security, for an insightful discussion on hiring external technology leaders. They explore when and why companies might look outside their organization for tech leadership, how to manage internal dynamics and strategies for smooth transitions.
Steve shares real-world experiences and actionable advice on assessing leadership fit, fostering team cohesion, and navigating leadership changes. Whether you’re a tech leader, HR professional, or founder, this episode delivers essential insights for building a resilient and adaptable organization.
Episode Highlights:
01:55 When to Hire an Outside Technology Leader
03:39 Internal Implications of Hiring Externally
05:16 Handling Internal Friction
09:15 Leadership Style and Organizational Change
11:26 Evaluating the Need for New Leadership
18:27 Ensuring a Good Fit for New Leaders
22:36 Career Growth and Opportunities
Key Takeaways:
1. When to Hire an Outside Technology Leader
Consider external hires when scaling quickly, transforming, or addressing knowledge gaps.
2. Managing Internal Implications
Be transparent about the decision.
Communicate the value of new leadership to the team.
3. Handling Internal Friction
Acknowledge concerns from internal staff.
Build trust through consistent communication and team alignment.
4. Assessing Leadership Fit
Evaluate leadership style, technical expertise, and cultural alignment.
Focus on both business and technical problem-solving capabilities.
5. Career Growth and Long-Term Opportunities
Help team members see new leadership as a growth opportunity.
Encourage collaboration between new and existing leaders for a seamless transition.
Gain valuable insights on hiring external tech leaders and fostering leadership resilience. Don’t forget to like, subscribe, and share this episode with your network! 🚀
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In this episode, host Amir sits down with Amit Sahani, Global Head of Data at StoneX, to delve into data leadership's practical and strategic aspects. Amit shares invaluable insights on building robust data solutions, tackling data quality challenges, and fostering alignment between data engineering and business objectives.
Listeners will gain practical advice on the importance of data governance, leveraging technological advancements like cloud computing, and incorporating feedback loops to drive continuous improvement. This episode is a must-listen for anyone seeking to bridge the gap between data and business.
Highlights
00:56 – Grounded Leadership in Data
Amit shares his philosophy on leadership and its role in successfully implementing data-driven solutions.
02:30 – Challenges in Delivering Business Solutions
Insight into the common hurdles organizations face when aligning data initiatives with business needs.
04:57 – Garbage In, Garbage Out
A deep dive into the critical issue of data quality and its impact on achieving high-fidelity business delivery.
10:00 – Adoption and Feedback Loops
Why continuous feedback loops are essential for improving data solutions and driving adoption across teams.
13:35 – Investment in Data Quality and Governance
Exploring the importance of prioritizing data governance to create a strong foundation for successful data strategies.
22:15 – The Role of Technology in Data Solutions
How advancements like cloud computing are shaping the future of data engineering and management.
Key Takeaways
- Data Quality is Everything: Poor data leads to poor outcomes. Investing in data quality is a non-negotiable for success.
- Feedback Loops Drive Improvement: Continuous feedback ensures that data solutions remain relevant and effective.
- Governance is Critical: Establishing strong data governance practices enables scalability and compliance.
- Technology is an Enabler: Leveraging tools like cloud computing enhances efficiency and flexibility in data solutions.
- Alignment is Key: Successful data solutions bridge the gap between engineering capabilities and busi
Guest:
Amit Sahani is the Global Head of Data at StoneX, with nearly two decades of experience in business transformation, cloud adoption, and international expansion across the US, South America, EMEA, and India. At StoneX, he has built a global data team, launched an in-house data aggregator, and established a market data services group, positioning data as central to the company’s digital transformation. With expertise in regulated industries and global operations, Amit drives transformative change through empathy, strategic insight, and a sharp focus on business outcomes, effectively engaging stakeholders at all levels.
LinkedIn: https://www.linkedin.com/in/asahani/
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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)
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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 Technology
Neil 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/
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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)
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In this episode, Amir sits down with Jim Olsen, CTO of ModelOp, to explore the essential role of AI governance in today's organizations. Jim shares practical insights into managing foundational models, emphasizing their impact on regulatory compliance, business performance, and innovation.
The conversation delves into the distinct challenges of implementing AI solutions, how governance aligns AI with business objectives, and the critical role of regulations. Learn how to navigate this evolving field and position AI as a strategic enabler for your organization.
What you'll learn:
Understanding AI governance:
Why it’s critical for managing risks, ensuring compliance, and aligning AI with business goals.Building an AI model inventory:
The first step in AI governance—tracking and maintaining an inventory of all AI models to enable better control and oversight.Managing the lifecycle of AI models:
From design to retirement—how to ensure models stay effective, compliant, and valuable throughout their lifecycle.The business case for governance:
How strong governance practices support performance metrics, innovation, and long-term ROI.Highlights:
01:20 The unique challenges of implementing foundational AI models 04:07 Defining the framework for AI governance 07:09 Why governance is essential for risk management and compliance 14:14 Measuring the performance and ROI of AI solutions 19:19 Practical examples of AI governance in action 21:48 What the future holds for AI governanceThis episode is packed with actionable advice to help business leaders and technologists navigate the complexities of AI governance. Tune in to learn how to make AI work smarter for your organization.
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/
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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)
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In this episode of The Tech Trek, host Amir Bormand talks with Ken Kao, VP of Engineering at Rad AI, about the evolving role of engineers in driving business innovation. They explore how tech differentiation can give companies a competitive edge and how engineers can act as problem solvers and creative artists beyond just writing code.
Key Takeaways:
Tech Differentiation for Competitive Edge: Learn how technology-driven innovation can set companies apart.
Engineers as Artists and Problem Solvers: Engineers can move beyond code by creatively solving business problems.
Shifting Engineers Left: Involve engineers earlier in the business process to unlock more strategic value.
Business-Driven Tech Conversations: Bridge the gap between tech and business by fostering mutual understanding.
Future Engineering Skills: Develop critical thinking, business awareness, and adaptability to stay competitive in tech.
Episode Highlights:
01:40 - The Role of Engineering in Company Differentiation
02:42 - Real-World Examples of Tech Differentiation
06:50 - The Dynamic Nature of Tech-Driven Innovation
09:37 - Empowering Engineers for Business Impact
10:39 - Shifting Engineers Left in Business Discussions
11:47 - Competitive Edge Through Generative AI
12:47 - The Evolving Role of Software Engineers
13:19 - Engineers as Problem Solvers
14:38 - Engineers as Creative Artists Beyond Coding
16:54 - Bridging the Gap Between Tech and Business
17:43 - Future-Ready Skills for Engineers
20:40 - Automation and the Future of EngineeringListen now for expert advice on fostering tech innovation, empowering engineers, and driving business growth through strategic tech leadership!
Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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Guest: Jordan Kaye, Head of Technology at Belvedere Trading
Episode Summary:
In this episode, Jordan Kaye redefines technical debt through a practical lens, emphasizing the importance of conscious decision-making and its impact on engineering velocity, quality, and business outcomes. He explains how technical debt should be approached like financial debt—intentionally incurred with clear trade-offs. Jordan also shares strategies for balancing agility and long-term system stability, offering actionable advice for tech leaders and engineering teams navigating high-impact projects.Key Takeaways:
Redefining Tech Debt: Tech debt isn’t just “bad code” — it’s a conscious decision made to accelerate progress while accepting future challenges. Quantifying Debt: Use tools like issue boards to track, visualize, and manage tech debt over time. Business-Driven Engineering: Tech teams should align with business goals to ensure solutions drive meaningful outcomes. Balancing Quality and Speed: Prioritize flexibility over perfection, focusing on scalable and maintainable systems. Avoiding Premature Problem-Solving: Use "just-in-time scoping" to prevent wasted work and maintain agility.Episode Highlights:
01:00 - Redefining Tech Debt as a Conscious Decision
03:45 - How to Quantify and Manage Tech Debt
07:10 - Business Context and Engineering Trade-Offs
10:50 - When Legacy Code Is Not a Problem
13:15 - Organizational Buy-In for System Maintenance
16:50 - Quality vs. Velocity: Finding the Right Balance
18:30 - Building Agile and Flexible Engineering Systems
22:00 - Avoiding Premature Problem-Solving through Just-in-Time ScopingConnect with Jordan Kaye:
LinkedIn: Jordan Kaye on LinkedIn Personal Website: jordankaye.devListen, learn, and redefine how your engineering team approaches tech debt! Share this episode with tech leaders and developers ready to rethink their approach. 🚀
- Visa fler
