The Tech Leader's Playbook

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Marcus East—Tech Executive and Author of Working with Dinosaurs—for a candid and thought-provoking conversation on the realities of digital transformation. With a career spanning leadership roles at Apple, Google, National Geographic, and more, Marcus brings a rare dual perspective from both Big Tech and legacy enterprises.They unpack why most digital transformation efforts fail despite heavy investment, what separates successful tech leaders from those who merely talk innovation, and how culture—not just code—can make or break your future. Marcus shares powerful real-world stories: from National Geographic’s transformation into a digital juggernaut, to the organizational inertia that derails billion-dollar initiatives. He outlines the “three dinosaurs” that stall progress—legacy systems, outdated operating models, and people unwilling to change—and offers sharp insights into why customer obsession beats tech obsession every time.Whether you lead a startup or a Fortune 500, this episode will challenge your assumptions, sharpen your thinking, and equip you with frameworks to lead meaningful change in an AI-driven world.TakeawaysLegacy companies don’t fail because of age—they fail when they refuse to update thinking while technology advances.Successful transformations require both visionary leadership and operational discipline across the org.Billions in digital investment are wasted when the right people aren’t empowered to drive change.Embedding innovation into the core business beats isolating it in innovation labs.Flexible technology is a must—but without true cross-functional collaboration, it's not enough.Only about 5% of AI investments currently show ROI, largely due to legacy systems and poor org alignment.Top-performing organizations operate with tight accountability and a focus on measurable outcomes.Customer experience—not tech stack—should guide transformation priorities.Large “grand projects” that last years often fail to deliver value or ROI.Elite talent gravitates toward environments with high standards, fast iteration, and meaningful impact.Companies that can’t attract top talent must either lead with a compelling mission or lean into strategic partnerships.People are the hardest "dinosaur" to evolve—fixing culture and mindset is harder than replacing tech.Chapters00:00 Intro & Guest Introduction01:30 Why Some Legacy Companies Transform & Others Fail03:45 The Real Problem: People & Culture06:20 The Innovation Lab Trap08:15 The First Domino: Flexible Tech & Cross-Team Collaboration10:25 Build vs. Buy in the Age of Cloud12:30 AI Hype vs. ROI Reality14:20 Leadership’s Role in Driving Transformation17:55 Customer-First Thinking Over Tech Fetishism21:30 The Dangers of Tech-First Transformation23:45 Why Accountability is the Missing Link29:45 Why Elite Tech Talent Clusters (and Leaves)34:00 Rest & Vest vs. Impact-Driven Professionals41:45 What If You Can’t Attract Top Talent?47:00 The Three Dinosaurs: People, Tech, Models53:30 Why Outdated Processes Are More Dangerous Than Tech57:00 Extreme Accountability as a Performance Driver59:15 Books, Billboards & Final ThoughtsMarcus East’s Social Media Link:https://www.linkedin.com/in/marcuseast/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this compilation episode of the Tech Leaders Playbook, Avetis Antaplyan brings together three powerhouse voices from the world of elite sports and leadership: Rex Kalamian, assistant coach in the NBA and head coach of the Armenian National Basketball Team; Dr. Jen Welter, the first female NFL coach and a pioneer in sports psychology; and Dick Vermeil, Super Bowl-winning NFL coach and Hall of Famer.Through their stories and reflections, these leaders offer raw, actionable insights on team building, ego management, mental resilience, and human-centered leadership. Rex shares how he galvanized a culturally fragmented team into national champions. Jen dives into the emotional intelligence required to coach high-performers and handle personal struggles as a leader. Dick gives hard-won lessons on delegation, trust, and building deep team culture through consistency and care.The episode blends sports and business in a way that reveals timeless truths about leadership, identity, and performance under pressure. Whether you're a founder, executive, or aspiring leader, this is a masterclass in cultivating winning teams without losing your humanity. TakeawaysEffective leadership requires upfront emotional investment—build trust before you ever coach performance.Winning cultures start with clarity: build, enhance, then sustain.Ego management is critical. A coach’s first job is to neutralize ego—both theirs and the player’s.Killer instinct can’t be taught; it must be identified early and nurtured over time.Great leaders don’t motivate the unmotivated—they hire self-starters and avoid demotivating them.Being human and apologizing authentically creates deeper relational capital and loyalty.Female leaders face invisible barriers—intentional mentorship and allyship are critical to systemic change.Tough love works when it’s consistent, fair, and rooted in seeing people’s full potential.Delegation is not a weakness—it’s a multiplier. Trust and systems are prerequisites to scale.Great leadership requires learning to listen more than you speak—and never assuming you're the smartest person in the room.Long-term success comes from defining a plan, surrounding yourself with good people, and showing them you care.Chapters00:00 Intro: Mastermind Compilation of Leadership Wisdom00:42 Rex Kalamian: Building Armenia’s National Basketball Team03:54 Uniting Diverse Talent and Building Belief06:15 Leading with Sacrifice and Mission-Driven Mindset07:23 Coaching Superstar Egos with Relationship-First Approach09:07 Can Killer Instinct Be Taught or Is It Innate?12:22 Translating Lessons from Sports into Business13:46 Jen Welter: Performance Dips & Empathetic Leadership15:27 “Do You Need a Minute?” — Spotting the Signs of Mental Strain17:59 Balancing Leadership While Being Human21:50 Lessons for Women Breaking Barriers in Leadership24:55 The Power of Mentorship and Intentional Advocacy25:19 Dick Vermeil: Tough Love and Consistent Standards27:00 When Talent Isn’t Matched by Work Ethic28:26 Bringing People Into Your Home to Build Culture30:35 Delegation, Obsession, and Why He Walked Away in ’8233:14 How to Evaluate Talent Beyond Interviews35:08 Can Leadership Be Taught or Is It Born?36:33 Coach Vermeil’s Playbook: 7 Core Principles of Winning38:52 Final Thoughts and Outro by AvetisResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Drew Sechrist, an early Salesforce leader who helped scale the company from its earliest days into a multi-billion-dollar enterprise, and the founder of Connect The Dots. Drew brings listeners inside the chaos of Salesforce’s zero-to-one phase, sharing firsthand stories from a time when cloud software was unproven, customer trust was fragile, and evangelism mattered more than polished playbooks.The conversation explores what it really takes to scale a company from nothing, why the jump from zero to one is far harder than later stages, and how leadership decisions around hiring, pace, and conviction shaped Salesforce’s trajectory through the dot-com crash. Drew offers rare insights into working alongside Marc Benioff, including lessons on relentless execution speed, founder conviction, and organizational alignment through frameworks like V2MOM.A major theme of the episode is the enduring power of relationships. Drew explains how warm introductions, internal champions, and relationship capital closed deals worth millions and why, in an AI-saturated world, human networks are becoming the true long-term moat. The episode culminates in the origin story of Connect The Dots and why mapping real relationships is becoming a competitive advantage for modern teams.TakeawaysSalesforce succeeded early by evangelizing an unproven cloud model, not by selling features.Trust and customer success mattered before those functions even had names.Timing was critical; launching in 1999 gave Salesforce a window competitors missed.Distribution, not product, became the primary constraint once product-market fit was proven.Hiring leaders who had “seen the movie before” helped Salesforce scale deliberately.V2MOM created alignment and surfaced bottlenecks before they became existential problems.Marc Benioff’s pace of execution was a competitive weapon in enterprise sales.Slow communication is a leading indicator of poor performance in startups.Warm introductions and internal champions unlocked deals that cold outreach never could.AI is amplifying noise, making trusted relationships more valuable, not less.Relationship capital is emerging as the real moat in an AI-heavy world.Chapters00:00 Introduction and why relationships matter more than ever02:00 Drew’s background and joining Salesforce before it was Salesforce05:00 Evangelizing cloud software in a skeptical market07:30 Why zero-to-one is the hardest phase of growth11:00 Product-market fit, distribution, and the dot-com crash15:30 Leadership changes and Marc Benioff stepping in as CEO18:30 Scaling teams and hiring leaders who’ve done it before20:00 V2MOM and how Salesforce stayed aligned while growing26:00 Pace, conviction, and what Drew learned from Marc Benioff31:30 The power of warm introductions and internal champions36:00 Why AI is increasing noise and weakening cold outreach38:30 The origin story of Connect The Dots44:00 Why LinkedIn fails at representing real relationships50:00 Relationships as the long-term moat in an AI-driven futureDrew Sechrist’s Social Media Link:https://www.linkedin.com/in/drewsechrist/Resources and Links: https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Isabelle Tashima, a growth equity investor at Volition Capital, to cut through the AI hype and unpack what truly drives breakout success in internet and consumer technology companies. Isabelle brings a unique perspective shaped by her experience across Goldman Sachs, Wells Fargo, KKR, and now Volition, where she focuses on backing capital-efficient founders who have achieved product-market fit with strong fundamentals.The conversation explores Volition’s contrarian investment philosophy, why bootstrapped or lightly funded companies often outperform, and how growth equity differs from venture capital and private equity in both risk and partnership style. Isabelle shares insights on why community, creators, and affiliate-driven distribution have become durable moats in consumer tech, often outperforming traditional paid acquisition channels.They also dive into how AI is reshaping the landscape, not as a replacement for teams, but as a force multiplier for efficiency, unit economics, and speed. From evaluating founder-investor alignment to understanding when to prioritize partnership over valuation, this episode offers a grounded, thoughtful look at scaling modern tech businesses in an increasingly noisy market.TakeawaysCompanies without AI risk being displaced by competitors who use it effectively.Volition prioritizes capital-efficient founders who achieved traction without heavy dilution.Growth equity focuses on protecting downside (1x) while targeting meaningful upside (5x+).Community and brand can serve as powerful, defensible moats.Creator-led and affiliate-driven go-to-market strategies are reshaping distribution.Micro and nano creators often outperform large influencers in engagement and conversion.AI does not need to be customer-facing to add value; backend efficiency matters.Not all fast-growing AI companies have durable, long-term revenue.Founders should align with investors on time horizon, risk tolerance, and definition of success.Choosing the right partner often matters more than achieving the highest valuation.Chapters00:00 Cutting Through the AI Hype02:30 Volition Capital’s Investment Philosophy05:00 Growth Equity vs. VC and Private Equity07:30 Contrarian Investing in Overlooked Markets10:30 The Shift in Go-To-Market Strategies13:30 Micro Creators and Democratized Distribution16:00 Evaluating AI in Non–AI-Native Companies18:30 Common Scaling Mistakes in Consumer Tech21:00 Fast Exits vs. Long-Term Value Creation25:30 Isabelle’s Career Path and Investment Lens29:00 Choosing the Right Capital Partner38:00 Final Advice for FoundersIsabelle Tashima’s Social Media Link:https://www.linkedin.com/in/isabelle-tashima-780065135/Isabelle Tashima’s Website Link:https://www.volitioncapital.com/team/isabelle-tashima/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Vijay Rajendran, investor and venture builder at gAI Ventures, UC Berkeley instructor, and author of the bestselling book The Funding Framework. Vijay brings a deeply grounded perspective on how the next generation of AI companies will actually be built, not through hype or speed alone, but through domain expertise, thoughtful leadership, and disciplined execution.The conversation explores why domain experts now have a growing advantage over pure technologists, how venture studios are evolving in an AI-first world, and what truly separates fundable AI startups from products that will be replaced by the next model release. Vijay shares insights from working with hundreds of founders, including why verticalized AI, workflow integration, and right-sized markets matter more than ever.They also dive into leadership transitions founders must make, common early-stage execution mistakes, and why fundraising is far more about listening than pitching. Drawing from his own journey as a founder and investor, Vijay emphasizes customer empathy, coachability, and falling in love with the problem rather than the solution. This episode is a must-listen for founders, operators, and tech leaders building durable companies in the age of AI.TakeawaysFounders are often poor predictors of which startups will succeed, even within their own cohorts.Exceptional companies start with a “secret” insight about how an industry truly works.Domain expertise is becoming more valuable than pure technical skill as AI commoditizes development.The strongest AI startups are verticalized and embedded directly into existing workflows.Markets should be big enough to matter, but small enough that Big Tech won’t prioritize them.AI creates leverage by removing tedious work and amplifying human judgment and relationships.“Rip and replace” products face long sales cycles; bolt-on tools win faster adoption.Early traction can be misleading. Durable demand matters more than initial excitement.Founders must shift from doing everything to enabling others as the company grows.Fundraising success comes from dialogue and listening, not perfect pitch decks.Coachability and customer empathy are long-term founder advantages.The best founders fall in love with the problem, not their first solution.Chapters00:00 The Future of AI Startups02:00 What Predicts Founder Success04:30 Domain Experts vs. Technologists07:00 Where AI Is Creating Real Value10:30 Using AI to Free Humans13:00 What Makes an AI Idea Defensible17:00 How Modern Venture Studios Operate22:00 Choosing the Right Technical Partner27:30 Founder Mindset Shifts29:30 Common Early-Stage Mistakes33:00 Rethinking Fundraising41:00 Underrated AI Opportunities45:00 One Message for FoundersVijay Rajendran’s Social Media Links:https://www.linkedin.com/in/vijayarajendran/The Funding Framework: Secure Startup Funding With Confidencehttps://a.co/d/jlwaiNvResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Allison Shapira, a Harvard faculty member, global keynote speaker, former opera singer turned communication expert, and author of AI for the Authentic Leader. Together, they explore what it truly means to lead with authenticity, clarity, and energy in an era shaped by artificial intelligence and constant uncertainty.Allison shares her journey from the world of opera to advising executives, founders, and government leaders under intense pressure. She breaks down why perfection is the enemy of progress, how clarity now matters more than certainty, and why leaders must shift from having all the answers to guiding through uncertainty with confidence.The conversation dives deep into the role AI plays in leadership communication. Rather than replacing authenticity, Allison argues AI can actually strengthen it when used in alignment with personal values. She also issues a powerful warning about the rise of “superhuman persuasion” and why transparency and ethical boundaries are essential.From creating psychological safety in high-stakes environments to navigating vulnerability at the executive level, this episode delivers a masterclass in modern leadership communication. It is an essential listen for tech leaders, founders, and executives navigating the future of work.TakeawaysThe future of leadership will reward clarity over certainty as change accelerates.Perfection blocks connection; authentic imperfection builds trust.Leaders must move beyond rehearsed talking points and speak from genuine belief.Asking “Why you?” unlocks deeper purpose and more powerful communication.Public speaking is any moment with one or more people, not just stages.Psychological safety starts when leaders model vulnerability first.AI can either outsource your voice or amplify your best self depending on how it is used.True authenticity means acting in alignment with your values, not avoiding tools.Sending AI tools into meetings may create a “Big Brother” effect that limits openness.AI is becoming more persuasive than humans, which raises ethical risks.The ACE Model (Authenticity, Clarity, Energy) is the foundation of effective leadership communication.Pausing between meetings and resetting emotional energy is a leadership skill, not a luxury.Chapters00:00 The Future of Leadership, AI, and Authenticity02:00 From Opera Singer to Leadership Communication Expert04:30 Why Perfection Holds Leaders Back06:50 The “Why You” Framework for Powerful Messaging08:30 Communication Breakdowns in High-Pressure Environments10:20 Clarity Over Certainty in Modern Leadership14:10 Creating Psychological Safety at the Top18:30 Career Epiphany and Walking Away from Prestige24:00 Can AI Make Leaders More Authentic?30:00 Should Leaders Send AI to Meetings?35:00 Why AI Won’t Actually Give You More Free Time38:40 The Rise of Superhuman Persuasion44:00 The ACE Model: Authenticity, Clarity, Energy48:00 Energy, Introverts, and Speaking With Intention51:20 Books, Podcasts, and Where to Find Allison’s Work52:40 Final Thoughts and Closing Remarks Allison Shapira’s Social Media Links:https://www.linkedin.com/in/allisonshapirahttps://www.youtube.com/@AllisonShapiraResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Tamara Laine, investigative journalist turned two-time tech founder and the CEO and co-founder of MPWR. Tamara brings a rare blend of storytelling, emotional intelligence, and problem-spotting instincts into the world of AI and financial innovation — and in this conversation, she unpacks how those experiences shape the products she builds today.Tamara shares how her investigative background sharpened her ability to dig into root problems, challenge assumptions, and uncover overlooked patterns — skills she now uses to design user-centric, AI-powered solutions for financial inclusion. She opens up about the realities of being a gig worker, the challenges Gen Z faces in accessing credit, and how the traditional banking world is struggling to adapt to a rapidly changing workforce.The episode dives deep into EQ-driven leadership, ethical AI, community as a modern moat, and the rise of low-code tools that are simultaneously empowering founders while making markets noisier than ever. Tamara’s insights on responsible innovation, founder resilience, and building tech that actually solves human problems make this a powerful, thought-provoking conversation for today’s leaders.TakeawaysInvestigative journalism taught Tamara to identify real problems, ask better questions, and challenge assumptions — essential skills for founders.Curiosity is becoming a competitive advantage in tech, not just a personality trait.Emotional intelligence is now a top leadership skill, especially as AI automates more of our operational workload.Storytelling begins with user journeys — not marketing — and should guide product design from day one.Founders must actively seek blunt feedback and treat it as a gift, not a threat.Market gaps aren’t always opportunities — sometimes human behavior simply won’t change.AI can create incredible value, but without ethical leadership and diverse teams, it can also reinforce harmful biases.Financial systems haven’t evolved fast enough for gig workers and Gen Z borrowers — creating a massive unmet need.Empower was built as an end-to-end solution bridging lenders and borrowers through AI-driven financial fluency and credit modeling.The funding landscape now demands MVPs and traction early, making deep-tech innovation harder but still deeply needed.Chapters00:00 Welcome & Introduction01:20 From Investigative Journalism to Tech03:00 Curiosity as a Founder Superpower05:30 Market Fit, Behavior Change & Category Creation07:40 Storytelling as the Foundation of Product Design10:15 User Journeys, “Falling in Love with the Problem”12:20 The Power of Blunt Feedback in Early-Stage Building15:00 Parenting, Curiosity & Emotional Intelligence17:45 Why EQ Matters More Than Ever in the Age of AI20:20 Ethical AI, Bias, and Leadership Responsibility24:00 Financial Access, Gig Workers & the Modern Workforce27:10 How Gen Z Borrows Differently30:00 The Lender Perspective & Market Validation31:55 Fundraising Realities: Money vs. Strategic Money34:20 Noise in the AI Era & The Challenge of Differentiation36:00 Moats, LLMs & Building What Can’t Be Easily Copied37:10 Community as a Strategic Advantage38:40 Founder Fears: Funding Markets & Deep Tech41:30 Biggest Founder Aha Moments42:20 Book Recommendation: Outcomes Over Output43:00 Connect with Tamara & Closing ThoughtsTamara Laine’s Social Media Link:https://www.linkedin.com/in/tamaralaine/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Melanie Nabar, Vice President at Volition Capital, to uncover what truly makes a company fundable—and what silently kills deals. With a background in growth-stage investing, Melanie brings sharp insight into founder dynamics, product-market fit, and the capital efficiency required to scale in today’s AI-driven market.They dive deep into the evolving expectations of Series A investors, the dangers of inflated valuations, and why product obsession without go-to-market focus can quietly drain a startup’s future. Melanie breaks down how founders should assess investor psychology, decode fund structures, and strategically use secondary offerings to de-risk personal financials without sacrificing long-term upside.This episode is packed with insights on revenue quality, building moats in the AI age, and how bootstrapped founders can shift their mindset to deploy capital more effectively. Whether you're preparing to raise capital or already navigating the growth phase, Melanie delivers actionable advice with clarity and candor.TakeawaysFounders often focus too much on historical data when investors are more interested in future growth and market potential.Series A investors prioritize product-market fit, retention, and scalable go-to-market motion—not just ARR.High valuations without the fundamentals to back them can kill deals and erode trust.Revenue quality (repeatability, margin, and retention) plays a bigger role in valuation than founders often realize.Many founders burn too much capital on product without clear customer validation or ROI.Bootstrapped companies often hesitate to spend even when it’s time to scale; this can stall growth.Churn and gross margin are key indicators for distinguishing real AI products from hype.Companies integrated into user workflows and habits are harder to replace and more defensible.Founders should evaluate VC fund structure, vintage, and portfolio psychology—not just the check size.Taking secondary in a raise can de-risk founders personally and improve long-term decision-making.Pattern recognition and experience on the board matter more than niche industry knowledge post-seed.The best outcomes don’t always require billion-dollar exits; responsible growth can still yield generational wealth.Chapters00:00 – The biggest mistake founders make when fundraising01:15 – What makes a company fundable at Series A04:45 – Why overhyping numbers kills trust and credibility09:15 – Understanding revenue quality and valuation11:30 – How 2021 broke capital efficiency—and what’s changed since16:00 – Deal-killers and how unrealistic expectations derail good companies20:00 – Smart capital deployment: where investors want to see money go24:00 – Why founder secondaries are on the rise—and when they make sense27:45 – How bootstrapped founders can shift from hoarding to strategic investment33:10 – AI moats: what’s truly defensible and what’s hype39:20 – Questions founders must ask before taking VC money45:30 – How fund size and check size impact founder support50:40 – The difference between VC, growth equity, and PE—and why it matters Melanie Nabar’s Social Media Link:https://www.linkedin.com/in/melaniejordannabar/Melanie Nabar’s Website Link:https://www.volitioncapital.com/team/melanie-nabar/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan welcomes back bestselling author and communication expert Chris Fenning, whose latest book Effective Meetings offers leaders a refreshingly simple framework to cut meeting time by 30% or more. Chris unpacks the hidden cost of poorly-run meetings—billions in wasted dollars, lost morale, and decision fatigue—and explains why the real issue is a lack of training, not bad intentions. Together, Avetis and Chris break down the deceptively powerful TPO method (Topic, Purpose, Output), showing leaders how to transform recurring time drains into high-impact, action-oriented conversations.From the pitfalls of daily stand-ups to the myth of the “must-attend” calendar invite, Chris shares real-world stories, practical examples, and organizational case studies (like Shopify’s Chaos Monkey) that show how eliminating unnecessary meetings isn’t just possible—it’s urgent. Whether you’re a startup founder drowning in back-to-back Zooms or a Fortune 30 exec looking to sharpen your team’s focus, this episode is packed with actionable advice you can apply today.TakeawaysTPO (Topic, Purpose, Output) is the foundational framework for running effective meetings.A meeting invite with no context is like a court summons—rude and unproductive.The #1 reason meetings fail? Lack of a clear purpose—not missing agendas.“No agenda, no attendance" is a viable policy to filter out low-value invites.Recurring meetings often lose relevance over time—reevaluate them regularly.Many meetings should be emails—ask if the meeting requires real-time, multi-person input.Decision-making meetings must include actual decision-makers or become planning sessions.Multitasking in meetings is usually a sign people shouldn’t be there or are disengaged.The “Inverse Time Rule”: if a topic only affects a few people, it should take minimal time.Leaders should experiment: cut one-hour weeklies to bi-weeklies and watch productivity rise.Post-meeting follow-ups are faster and clearer when the output is clearly defined.Clarity is leadership—clear asks beat backstories and long-winded explanations.Chapters00:00 – Intro: The Meeting Problem01:30 – Why Most Meetings Fail03:15 – Topic, Purpose, Output (TPO) Framework06:00 – Writing Better Meeting Invites08:00 – The Power of Saying No to Bad Meetings10:00 – Recurring Meetings: Fix or Kill Them11:45 – When a Meeting Shouldn’t Be a Meeting17:00 – How to Restructure Recurring Meetings21:00 – Real Case Study: Cutting Meetings at Scale25:00 – The Truth About Daily Stand-Ups27:00 – TPO in Action: Before, During, and After31:00 – AI’s Role in Meeting Efficiency33:00 – Why Clarity is the Cornerstone of Leadership35:00 – Helping Others Get to the Point Faster42:00 – Goal, Problem, Solution: The Efficient Ask45:00 – Why Experts Often Over-Explain48:00 – What’s Changed Since Chris’s First Book49:30 – Favorite Book Recommendation: The Culture Map51:00 – Final Thoughts & Call to ActionChris Fenning’s Social Media Link:https://www.linkedin.com/in/chris-fenning/Chris Fenning’s Website Link:https://chrisfenning.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Valerie Jackson — Harvard College and Georgetown Law alum, former securities lawyer turned C-suite people leader — to explore what it really takes to scale companies without breaking leaders or culture. Valerie traces her journey from advising public companies and serving at the U.S. Public Company Accounting Oversight Board to building one of the first law-firm diversity departments and leading people operations across VC-backed rockets, public SaaS, and PE-owned businesses. Together they unpack human-centered leadership, the mechanics of burnout (as recognized by the WHO), and why self-work is often the hardest part of scaling. Valerie shares practical tools — from 360s, “powerful partnerships,” and time audits to managing brain chemistry — and makes a compelling case that AI should elevate people, not erase them, because nothing can replace a leader’s “energetic signature.” The conversation closes with hard-won lessons on IPO vs. going private, PE vs. VC risk appetites, and Valerie’s mantra: “Know your ripple.”TakeawaysGreat leadership starts with self-awareness. Learn yourself to lead others.Build “powerful partnerships”: pair visionary thinkers with linear operators.Align culture: what we say (cognitive) with how we behave (emotional).Use 360 feedback to surface blind spots with curiosity and humility.Burnout = exhaustion + inefficacy + cynicism. Address all three to recover.Run time audits to find your “golden ratio” of energizing vs draining work.Support brain chemistry intentionally: dopamine, serotonin, oxytocin, endorphins.Keep AI human-centric. Technology should amplify people, not replace them.Design for tool obsolescence and misuse while protecting the humans.IPOs bring capital and scrutiny; going private can restore flexibility.PE and VC differ on time horizons, risk, and control expectations.Leader’s billboard: “Know your ripple.” Be intentional about your impact.Chapters00:00 Intro and why human-centered leadership matters01:28 Meet Valerie Jackson: law to people leadership across stages03:25 Early diversity work and career inflection points05:10 Patterns across org models: partnership, VC, public, PE06:59 Visionary vs linear strengths and “powerful partnerships”08:51 Self-work as a prerequisite to leading others12:20 Culture alignment: words, behaviors, and trust17:29 Feedback that works: curiosity, humility, and 360s25:00 Burnout explained: exhaustion, inefficacy, cynicism32:31 Time audits and defining your “golden ratio”34:23 Brain chemistry levers for sustainable performance37:03 Delegate to elevate: designing roles around energy40:04 Keeping people at the center of AI43:11 The “energetic signature”: what AI cannot replace52:49 IPO tradeoffs and why some companies go private56:13 PE vs VC: incentives, timelines, and control1:03:09 Tools and books leaders actually use1:05:22 10X vs 2X: optimization vs transformation1:08:52 Billboard for leaders: “Know your ripple”1:11:19 Closing and take-home actionsValerie Jackson’s Social Media Link:https://www.linkedin.com/in/vadjackson/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Erik Huberman, founder and CEO of Hawke Media, to unpack why the old marketing playbook is broken—and what actually scales in 2025. Erik shares how AI has collapsed the product moat, making distribution, brand, and go-to-market the real advantages. He explains the “vibe” behind breakout brands (think Liquid Death) and why software companies must now win on trust, positioning, and partnerships rather than feature lists. We dig into Hawke Media’s early differentiation—“your outsourced CMO,” month-to-month flexibility, and a la carte services—and how credibility compounds through consistent standards, client communication, and third-party validation (PR as trust, not awareness). Erik also breaks down the myths of ROAS, how to measure what matters across sales cycles, and a pragmatic framework for investing in founders with an unfair advantage. Finally, he offers founder operating principles: build the company you want to run, avoid burnout and bad debt, and let culture be the brand customers experience. If you lead growth, run a services firm, or invest in SaaS, this is a tactical masterclass in cutting through noise and turning credibility into compounding results.TakeawaysAI shrinks product moats; distribution and GTM become the edge.90% should be scalable, repeatable marketing; 10% creative bets to stand out.Brand “vibe” creates defensibility—even for software—by signaling trust and values.Positioning that travels (“your outsourced CMO”) fuels word-of-mouth and referrals.PR is a **trust*asset more than awareness—turn third-party moments into ads.ROAS often lies; anchor to sales cycle, lifetime value, and full-funnel ROI.Think in “half-lives”: run long enough to see conversions, then optimize and wait again.Relationships and communication keep clients through dips; performance alone isn’t enough.Niche vs. breadth: define ICP and messaging; teams can specialize without shrinking TAM.Use the Rule of 40 to balance profit and growth when setting spend.Investors should seek unfair advantages: embedded founders, ecosystem ties, real GTM.Founder principle: build for yourself; avoid debt/burnout—your ambition sets the ceiling.Chapters00:00 Intro and guest setup Erik Huberman and the new moat in an AI world04:20 Distribution, partnerships, and GTM as the unfair advantage08:05 Brand “vibe” and positioning that actually travels11:45 How Hawke Media stood out the outsourced CMO model21:30 The awareness → nurture → trust framework34:40 The ROAS trap and what to measure instead44:05 Spend strategy, Rule of 40, and scaling channels47:00 Sales-cycle “half-lives” and realistic ramp timelines48:45 Make-it-work mindset for leaders and marketers52:50 Investor lens embedded founders and unfair advantages58:21 Final takeaways and closeErik Huberman’s Social Media Links:https://www.instagram.com/erikhubermanhttps://x.com/ErikHubermanhttps://www.linkedin.com/in/erikhuberman/Erik Huberman’s Websites:https://erikhuberman.com/https://hawkemedia.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Sam Goodner, the serial entrepreneur and former CEO of Catapult Systems — Microsoft’s top-ranked consulting partner at the time of its acquisition. Sam shares his 30-year journey from starting a small IT consulting firm in 1993 with just $17,000 in the bank to scaling multiple companies to eight- and nine-figure exits, including turning a parking tech startup into a unicorn.Through vivid stories and practical lessons, Sam reveals the disciplines behind operational scalability, decentralized leadership, and what it truly takes to build a company that can run — and grow — without its founder. He discusses his book Like Clockwork: Run Your Business with Swiss Army Precision, the frameworks he used to recession-proof his companies, and how he transformed chaos into predictable growth. From his military lessons in Switzerland to his role as an angel investor mentoring the next generation of entrepreneurs, Sam offers a masterclass in clarity, systems, and execution — proving that growth isn’t luck, it’s discipline.TakeawaysGreat businesses scale through clarity, disciplined execution, and time, not luck.Founders often become the bottleneck — true leadership means empowering others to decide and own outcomes.Operational scalability starts when the company can run and grow without the founder.Create rules of empowerment: if a decision is right for the customer, company, ethical, aligned with values, and you’re accountable — act.Codify best practices with playbooks, especially for sales and hiring.Hire people better than you, then get out of their way.Mentorship and coachability accelerate growth more than any funding round.Recession-proofing begins before the downturn — diversify industries, services, and recurring revenue streams.Every company needs to define what it’s best in the world at and its unfair advantage.Founders should spend 95% of their time on the business, not in it.Focus on discipline and systems, not just ideas — execution is where companies win.Success evolves from climbing mountains to helping others climb theirs.Chapters00:00 Intro: Scaling Beyond Chaos01:30 From Developer to Founder: The Birth of Catapult Systems03:20 Bootstrapping to Profitability in the 90s06:00 Why Raising Money Isn’t Always the Answer07:30 Investing in Flash Parking: Spotting a Unicorn in an Unsexy Industry12:00 The Power of Coachability and Mentorship16:50 Breaking Founder Mode and Achieving Operational Scalability21:00 Building Playbooks for Sales and Talent Acquisition26:00 Decentralized Decision-Making and the Rules of Empowerment37:00 The Swiss Army Precision: Inside Sam’s Book “Like Clockwork”43:00 Recession-Proofing Your Business51:00 Balancing Focus and Diversification55:00 Defining Your Unfair Advantage57:00 The Aha Moment: Realizing You’re the Bottleneck59:00 The Third Chapter: Giving Back and Mentoring Entrepreneurs01:01:00 Closing Thoughts: Build Systems, Empower People, Stay DisciplinedSam Goodner’s Social Media Links:https://www.linkedin.com/in/samgoodner/Sam Goodner’s Websites:https://samgoodner.com/

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan is joined by Christian Ulstrup, founder of Powerline, to explore how AI is transforming business practices. Christian, with over a decade of experience in applied AI, discusses the evolution of AI technologies and their real-world impact on industries ranging from startups to the U.S. federal government. He shares insights on moving from experimentation to impactful applications of AI, stressing the importance of cultivating a culture of continuous experimentation. Together, Avetis and Christian dive into how leaders can leverage AI for exponential growth, from AI quick wins to deep organizational transformations. The conversation touches on practical applications, such as automating back-office processes, improving customer interactions, and identifying hidden opportunities through AI-driven insights. Christian also discusses his firm’s approach to using AI tools to generate value, drive profitability, and reduce costs while maintaining a human-centered focus. His unique perspective on the role of AI in shaping the future of work is both enlightening and inspiring, offering actionable advice for tech leaders eager to embrace the AI revolution.TakeawaysAI's role is not just about the technology itself but how and where it's applied in business processes.Business leaders must foster a culture of continuous experimentation to maximize the potential of AI.AI quick wins involve improving existing processes to work faster and more efficiently, sometimes 10 times faster.A "10x" approach, rather than incremental changes, can drive larger, more impactful transformations.Engaging with AI tools and experimenting with them helps uncover surprising efficiencies and new opportunities.Effective AI adoption starts with clear executive alignment and a formal mandate for experimentation across the organization.Some AI models like GPT and Claude are revolutionizing business processes that were previously time-consuming or costly.AI tools should be integrated into everyday workflows, from sales to HR, to gain real-time insights and efficiencies.Companies should prioritize AI experimentation, with an eye on both short-term wins and long-term cultural transformation.AI can help businesses of all sizes democratize access to powerful data insights, leveling the playing field for smaller companies.Chapters00:00 Introduction01:26 Christian Ulstrup’s Background03:15 AI’s Role in Business Transformation05:47 The AI Quick Win07:55 Thinking Big for AI Impact09:54 Three Phases of AI Adoption12:18 Tools for AI Adoption14:37 Identifying Power Users16:58 Formalizing AI Use Across the Organization19:15 Analyzing Data with AI Tools23:30 AI for Small Businesses27:48 AI and Profit Impact in PE-backed Firms31:46 Second-Order Effects of AI34:08 Risk Reduction and AI39:56 Opportunity Spotting with AI44:23 Change Management and AI49:42 Biggest Aha Moment in Christian’s AI Journey54:03 The Future of Work with AIChristian Ulstrup’s Social Media Links:https://www.linkedin.com/in/christianulstrup/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠https://www.instagram.com/avetisantaplyan⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan lays out a wartime CEO playbook for thriving in downturns, drawing on the same strategies his team used to scale HIRECLOUT and help clients grow through multiple recessions. He argues that recessions do not kill companies, timid leadership does, and makes the case for buying market share when others freeze. Avetis explains why momentum dies faster than cash burns, how to reinforce your core and double down on your edge, and where “talent arbitrage” appears when markets are scared. He also breaks down weaponized efficiency, using AI and automation to cut friction instead of people, and how leaders can keep teams aligned by leading with certainty, transparency, and small weekly wins. Along the way, Avetis shares candid stories from COVID, investing in AI startups and real estate, and the tough calls required of a wartime CEO. The result is a concise, practical blueprint for founders and operators who want to play to win rather than “not lose.”TakeawaysRecessions concentrate opportunity in the hands of bold leadersMomentum dies faster than cash burns, so “wait and see” erodes advantageCut distractions, not drivers; double down on your core edgeDownturns are prime time for talent arbitrage and loyalty buildingYou cannot cut your way to greatness; savings alone will not scale a companyUse AI and automation to remove friction so people can drive revenueTurn downtime into build time by rebuilding systems to be 10x-readyKeep outbound and thought leadership consistent while others go quietLead with certainty; your team mirrors your energy and confidenceCreate small weekly wins to sustain morale and momentumPair clarity with optimism; either one alone leads to noise or paralysisThe leaders who act decisively now will own the rebound laterChapters00:00 Why timid leaders lose in recessions02:22 The big lie of “conserve and wait”04:30 You cannot cut your way to greatness06:45 Recessions as the cheapest time to buy market share08:23 Talent arbitrage and loyalty during downturns10:32 Reinforce your core and double down on your edge12:50 Weaponized efficiency: cut friction, not talent15:16 Turn downtime into build time and rebuild systems17:22 Keep marketing; brand compounding when others go silent19:25 Lead with certainty and reassure through transparency21:40 Clarity plus optimism and the cost of overanalysis23:40 No fluff, make it happen: own the reboundResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Jossie Haines—executive coach, fractional engineering leader, and former engineering leader at Apple, Zynga, Tile, and Life360—to unpack how great leaders build inclusive, high-performing teams and adopt AI with intention. Jossie shares pivotal moments from leading Siri teams at Apple (including award-winning Apple TV work) and scaling engineering at Tile, where she helped double the org and architect a culture people still miss. She gets candid about imposter syndrome, why inclusion (not box-checking diversity) drives psychological safety and product quality, and how to communicate in CEO/CFO language: business outcomes, trade-offs, and crisp “yes—and” solutions. You’ll also hear her playbook for leaders using AI to reclaim strategic time, from code-base ramp-ups to custom GPTs that coach junior PMs and engineers. Plus: lessons from Zynga’s two-week company-wide pivot, the value of age diversity in teams, and why “slow productivity” beats 80-hour grinds. A masterclass in defining success on your own terms—and leading with clarity, courage, and measurable impact.TakeawaysInclusion and psychological safety are prerequisites for high performance.Focus on mechanics (meetings, feedback, promotions) before chasing diversity metrics.Communicate in outcomes and trade-offs; lead with business impact.Use “yes, and” to surface constraints without being the “no” person.Leaders should model effective AI use to raise adoption quality.Treat AI as an 80–90% draft; humans add accuracy and context.Deploy AI where it frees strategy time: research, ramp-ups, admin loops.Build leverage by shipping tangible alternatives quickly.Age diversity strengthens execution and pattern recognition.Replace hustle myths with sustainable “slow productivity.”Senior leaders must self-generate confidence signals; feedback gets rarer.Define success on your terms and make clear, bold asks.Chapters00:00 Intro & Guest Setup02:00 Apple & Tile: Wins, Burnout, and Imposter Syndrome05:00 Designing Roles and Cultures People Miss08:30 Why Senior Leaders Feel Isolated10:40 Inclusion → Psychological Safety → Performance13:10 Operationalizing Inclusion (Meetings, Feedback, Promotions)16:50 Hiring Panels, Representation, and Real Accountability18:55 Keeping Eyes on Outcomes, Not Optics21:50 The Overlooked Advantage of Age Diversity26:20 Boundaries, Peak Hours, and Sustainable Work28:40 Leaders & AI: Modeling Quality and Guardrails33:00 AI as Draft Partner: Seniors vs. Juniors36:30 Practical AI Workflows (Ramp-Ups, Custom Assistants)40:15 Speaking CFO/CEO: Outcomes, Trade-offs, “Yes, and”46:50 Shipping Fast for Negotiation Leverage51:10 Trust Yourself, Ask Boldly, Create Roles54:30 Closing & Book RecommendationsJossie Haines’s Social Media Links:https://www.linkedin.com/in/jossiemann/Jossie Haines’s Websites:https://jossiehaines.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Radhika Dutt—MIT-trained engineer, entrepreneur, and author of Radical Product Thinking, to rethink how high-growth companies set direction and measure progress. Radhika explains why traditional goal systems (KPIs/OKRs) often incentivize “performance theater,” tracing their lineage from Drucker’s MBOs to Andy Grove to today’s playbooks—and why they’re mismatched to modern, creative work. She introduces OHLs (Objectives, Hypotheses, Learnings) and a “puzzle setting/puzzle solving” culture that pushes teams to interrogate bad numbers, not hide them. Along the way she names common “product diseases” (HERO syndrome, obsessive sales disorder, pivotitis, strategic swelling, Narcissus complex) and shows how a clear, testable vision prevents whiplash pivots. A standout case study: at Signal Ocean, reframing the challenge for tech-averse users helped double sales in 2024 and again in 2025 while reducing churn from 26% to 4%. Leaders also get a practical script for better reviews (“How well is it working? What did we learn? What will we try next?”) and a reminder to build experimentation muscles before a crisis. The result is a rigorous, human approach to strategy that replaces vanity metrics with compounding learning.TakeawaysOKRs often reward optics over insight, encouraging “performance theater.”Use a concrete vision that states the problem, audience, status quo, desired end state, and product’s role.Shift from “hit the target” to puzzle setting so teams feel invited to solve the right problems.Run on OHLs: Objectives, Hypotheses, Learnings to measure deeply and learn publicly.Watch for “product diseases” like HERO syndrome, obsessive sales disorder, pivotitis, strategic swelling, and the Narcissus complex.Pivot with gravitas by stating what was wrong, what you learned, and what you’ll try next.Case study: at Signal Ocean, reframing for tech-averse users unlocked adoption, doubled sales year over year, and reduced churn.OKRs trace back to MBOs, which fit repetitive work but struggle with today’s creative, uncertain problems.Leaders should act like detectives, not judges to create psychological safety for honest learning.Introduce OHLs inside your current cadence before replacing existing processes.Spread market insight beyond the founder so teams can challenge assumptions and stay aligned.Start with the segment that has the most urgent need, then expand intentionally.Chapters00:00 Intro & Why Targets Mislead01:27 Radhika’s Path and Early Lessons03:41 Hitting Numbers vs. Reality on the Ground05:31 “Product Diseases” That Derail Strategy07:51 Writing a Vision You Can Execute09:49 The Wine Startup Example and Narcissus Complex13:07 Pivotitis and How to Pivot with Gravitas16:34 Translating Vision into Actionable Experiments17:44 Why Goals Alone Don’t Work20:03 A Short History of OKRs and Their Limits24:43 From Targets to Puzzles: Reframing Stalled Sales26:50 OHLs: Objectives, Hypotheses, Learnings29:14 Running Better Reviews: Three Questions35:31 Case Study: Signal Ocean’s Tech-Averse Users39:55 Outcomes: Doubling Sales and Reducing Churn41:58 Intel’s Lesson: Experimentation Beats Goal Mechanics47:58 Detectives, Not Judges: Building a Learning Culture50:06 How to Start Tomorrow with OHLs59:37 Don’t Do Founder Mode; Spread Insight01:03:18 Closing Notes & ResourcesRadhika Dutt’s Social Media Links:https://www.linkedin.com/in/radhika-dutt/Radhika Dutt’s Websites:https://www.radicalproduct.com/https://rdutt.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Dr. Reece Akhtar, CEO and founder of Deeper Signals — a leading organizational psychologist and data scientist helping companies unlock human potential through AI-powered talent insights. Together, they explore how the future of leadership is being shaped by behavioral science, soft skills, and the rise of AI in the workplace.Dr. Akhtar breaks down what defines high-caliber leaders today, emphasizing the evergreen traits of cognitive aptitude, emotional intelligence, curiosity, and execution. He shares powerful stories about helping a scaling company move from 200 to 1,000 employees while improving performance by 15–20% year-over-year by using data-driven assessments.Listeners will gain a practical blueprint for building talent-centric organizations, minimizing bias in hiring, and turning assessments into tools for onboarding, coaching, and long-term leadership development. This episode is packed with actionable advice for executives and founders who want to future-proof their organizations, hire and grow the right leaders, and create high-performing, cohesive teams in an AI-driven world.TakeawaysHigh-performing leaders share four traits: cognitive aptitude, emotional intelligence, curiosity, and the ability to execute.AI will amplify the need for collaboration, critical thinking, and creativity—not replace them.Psychometrics offer a data-driven way to reveal leadership potential beyond intuition.Assessments shouldn’t just filter candidates; they should inform onboarding and ongoing coaching.Structured interviews combined with assessments dramatically improve hiring accuracy.Data can act as a guardrail against unconscious bias in leadership selection.Building a talent-centric organization requires aligning culture, leadership development, and performance metrics.Cognitive diversity within teams often outperforms a single "A-player" approach.Over-indexing on charismatic leaders can be dangerous—look for competence, not charm.The five-factor model (OCEAN) is the most scientifically valid framework for personality assessments.Leaders should pause before reacting—self-awareness and emotional regulation are key."Just pause and listen" is Akhtar’s billboard advice for young leaders.Chapters00:00 Introduction: Why leadership needs data in the AI era01:35 What defines high-potential leaders today03:50 Evergreen traits: intelligence, EQ, curiosity, execution06:25 How psychometrics and AI reveal hidden potential09:05 Case study: Scaling from 200 to 1,000 employees with data-driven hiring13:10 Turning assessment data into onboarding and coaching tools17:00 The five-factor model (OCEAN) and its predictive power19:00 Limitations of assessments and human adaptability22:30 Combining interviews, references, and data for better hiring decisions27:50 Why resumes and unstructured interviews fall short29:50 Lessons from Dune: Avoiding the charismatic leader trap32:40 Using data to identify and mitigate bias in hiring36:15 Building a talent-centric organization and embedding values44:30 The importance of team fit and cognitive diversity47:15 Personal lessons: pausing before reacting as a leader48:30 Recommended reading: Social Physics by Sandy Pentland49:55 Closing advice: "Pause and listen" for young leaders51:00 Episode wrap-up and where to connect with Dr. AkhtarDr. Reece Akhtar’s Social Media Links:https://www.linkedin.com/in/reeceakhtar/Dr. Reece Akhtar’s Website:https://www.deepersignals.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Ari Galper, the world’s #1 authority on trust-based selling and creator of the One Call Sale methodology and Ari AI, an AI-powered sales coaching platform built on decades of proven frameworks. Together, they explore why traditional relationship-building and persuasion tactics often fail in today’s crowded marketplace—and what tech leaders can do instead.Ari shares how to transition from solution-centric pitching to problem-centric diagnosing, helping prospects see the cost of inaction before presenting a solution. He offers powerful language patterns and mindset shifts that compress long sales cycles into a single conversation, without pressure or chasing leads. Listeners will hear real-world stories, including Ari’s personal turning point that inspired him to build a global movement around truth and trust in sales.Whether you’re a founder, executive, or sales leader, this episode will help you rethink your approach to business growth—moving from transactional selling to creating deep trust that drives long-term success.TakeawaysTrust-building, not persuasion, is the foundation of modern sales.Stop selling pre-sale—diagnose problems first, like a doctor with a patient.The cost of inaction (COI) is critical: help prospects see the risk of staying with the status quo.Compressing the sales cycle into one call creates clarity and commitment without pressure.Relationship-building pre-sale often backfires; it can put you in the “friend zone.”Avoid using the phrase “follow-up”; ask for feedback instead to uncover the truth.Silence is a powerful tool—let prospects talk first and reveal their core issues.Clarity is the true value you provide, not your product demo or case studies.Create cultural change in sales teams by teaching trust-based frameworks, not scripts.Use trust-based language to keep prospects on your calendar and avoid chasing ghosts.Personal transparency and authenticity—like Ari’s lessons from his son Toby—make you more effective.Market to the problems you solve, not your solutions, to stand out in a noisy world.Chapters00:00 Intro & Why Trust-Based Selling Matters in Tech01:30 The Shift: From Product-Centric to Problem-Centric03:15 Cost of Inaction: The Real Sales Trigger04:55 The One Call Sale Framework Explained06:40 Trust vs. Relationship Building08:20 Real Story: Why “Great Meetings” Don’t Equal Sales10:40 Diagnosing Over Delivering: Coaching Case Study13:15 Ari’s Sales Call Script (Doctor Analogy Breakdown)15:00 The Birth of Ari AI and What Makes It Unique18:00 How Leaders Role-Play and Write Better Emails with AI20:00 Difference Between Fact-Finding and Trust Questions21:40 Never Use “Follow Up” Again Use This Instead24:30 Building Culture Without Falling into the Friend Zone26:20 Sales Teams Need Interventions, Not Programs28:00 Avoiding Bad Business: Qualifying for Urgency30:00 Ari’s Aha Moment: The Muted Sales Call That Changed Everything33:30 Why “Being Professional” Still Lost the Deal35:15 Favorite Book: 80/20 Sales & Marketing36:00 Why Ari Writes a New Book Every Quarter37:20 Writing Problem-Centric Cold Emails That Cut Through Noise39:00 Personal Wisdom from Ari’s Son, Toby40:10 Final Advice: Trust is the New CurrencyAri Galper’s Social Media Links:https://www.linkedin.com/in/arigalper/https://www.youtube.com/@ari_galperhttps://www.instagram.com/ari_galperhttps://x.com/arigalperAri Galper’s Website:https://unlockthegame.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Susan Ruediger, Founder and Chief Mission Officer of the CMT Research Foundation (CMTRF), and Laura MacNeill, the organization’s CEO. Together, they explore how patient-led research is revolutionizing drug development and catalyzing billion-dollar outcomes. Susan shares the remarkable story of CMTRF’s $128,000 seed investment in DTX Pharma that led to a $1 billion Novartis acquisition — a masterclass in strategic risk-taking and venture philanthropy. Laura explains how CMTRF’s unique “go-out-of-business” mission drives urgency, focus, and impact, while also inspiring other nonprofits to adopt similar models. The conversation dives deep into storytelling’s role in galvanizing donors, the importance of milestones and reinvestment, and how rare disease foundations can unlock breakthroughs for broader neurodegenerative diseases like ALS, Parkinson’s, and Alzheimer’s. Whether you’re a biotech leader, investor, or nonprofit executive, this episode offers actionable lessons on focus, partnerships, and creating outsized impact with limited resources.TakeawaysPatient-led research can de-risk and accelerate drug development.$128K seed funding led to a $1B Novartis acquisition.CMTRF uses a venture-philanthropy model with milestone-based funding.Mission: fund treatments, find a cure, close the foundation.Storytelling drives awareness, donations, and partnerships.Early investments keep promising science alive.Biotech partnerships share risk and leverage expertise.Novartis validated CMT as a major market opportunity.Rare disease focus offers faster FDA pathways.Staying laser-focused means saying no to distractions.Chapters00:00 Intro & Guest Welcome01:20 From Grassroots Donations to Billion-Dollar Deals02:30 Understanding CMT and Its Impact05:00 Finding the Right Delivery Vehicle for Drugs07:40 The $128K Bet That Changed Everything09:50 Other Success Stories & Market Signaling13:00 The Venture-Philanthropy Model Explained16:30 The Power of Milestones and Flexibility18:45 Reinvestment and Sustainable Funding21:30 Role of Storytelling and Strategy in Movement Building26:10 Velocity Campaign & Raising $20M27:25 Why Biotechs Care About Rare Diseases31:50 CMT as a Gateway Indication for Neurodegenerative Disease33:30 Staying Focused and Saying No38:30 The Drug Development Lifecycle and Staying Mission-Aligned42:10 How to Get Involved and Follow CMTRF’s Work45:10 Personal & Business Advice for Leaders48:30 Favorite Books and Final Thoughts52:00 Closing Remarks and Call to ActionSusan Ruediger’s Social Media Links:https://www.linkedin.com/in/susan-ruediger/Laura MacNeill’s Social Media Links:https://www.linkedin.com/in/laura-macneill-m-b-a-97633732/CMT Research Foundation’s Website:https://cmtrf.org/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright

In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Andrew McVeigh, veteran technology leader and Chief Architect, whose career spans transformations at Hulu, Riot Games, and beyond. Andrew has navigated multi-billion-dollar shifts across industries from finance to gaming and healthcare, leaving behind architectures that still power companies today.The conversation dives deep into some of the most pressing questions in modern tech leadership: What matters most—EQ, IQ, or AI? Should organizations rebuild systems from scratch or evolve incrementally? Andrew shares candid stories, including lessons from Riot Games, the pitfalls of full rewrites, and the importance of balancing optimism with realism.Listeners will gain insight into how domain expertise and generalist skills complement one another, why EQ becomes more critical than IQ at senior levels, and how AI is reshaping engineering work without eliminating the need for human craft. Andrew also reflects on personal resilience, leadership missteps (like literally flipping a table), and the value of building systems and cultures that endure. This episode offers a rare inside look into decades of architectural wisdom and leadership lessons applicable to anyone guiding teams through complexity and changeTakeawaysEQ often outweighs IQ at senior leadership levels when managing large teams.Losing emotional control may feel satisfying in the moment but erodes long-term trust and outcomes.Generalists and specialists both play vital roles—large-scale architecture requires a mix of both.Domain expertise is valuable but shouldn’t be an absolute barrier to hiring strong engineers.Successful engineers learn to work at the level of intention rather than just tasks.Psychological safety fuels better performance and innovation in teams.AI augments, not replaces—engineers must learn to collaborate with it effectively.Craft and fundamentals (e.g., programming) remain essential even as AI automates repetitive work.The Pareto principle (80/20) applies broadly—focus on high-leverage outcomes, not perfection.Full rewrites often fail; incremental evolution with a defined “North Star” strategy is safer.Optimism in leadership can shift cultures and reframe challenges as opportunities.Balancing results with humanity ensures people want to work with you again.Chapters00:00 Intro: EQ, IQ, or AI?01:15 Guest Introduction: Andrew McVeigh’s career at Hulu, Riot Games, and more02:30 Industry Crossovers: From finance to gaming to healthcare04:10 Specialists vs. Generalists in large-scale systems05:20 The rising importance of EQ in leadership07:10 Riot Games culture and the “must be a gamer” debate11:20 What makes great engineers stand out13:40 Leadership, personal resilience, and the humanity factor17:50 How AI reshapes engineering work22:30 Applying the Pareto principle in tech leadership24:50 The rewrite dilemma: Start over or evolve?31:20 Preserving value while modernizing legacy systems36:10 Final thoughts: EQ, IQ, or AI? Andrew’s choice37:30 Book recommendations and sources of inspiration38:40 Closing advice: Attitude, optimism, and ownership39:45 Outro and how to connect with AndrewAndrew McVeigh’s Social Media Links:https://www.linkedin.com/in/andrewmcveigh/Andrew McVeigh’s Website:https://www.suvoda.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright