Spark of Ages

Rajiv Parikh
  • 5.0 (15)
  • Marketing
  • Updated Biweekly

The Spark of Ages podcast is about the rapid development of Artificial Intelligence through a marketing lens.  We are living in the middle of the most important "spark for the ages".   Our episodes are either about looking back to teach us what we can learn for this moment, or looking forward for where the next spark might be.We highlight the stories from business leaders at the intersection of marketing, technology and innovation.

  1. 3d ago

    The Career Move That Survives AI/Geoff McQueen - Vibecoding, Revealed Preference, Coaches ~ Spark of Ages Ep 67

    Rajiv Parikh talks with four-time founder Geoff McQueen about how AI is inverting the business pyramid and forcing everyone, not just executives, to act more entrepreneurially. We dig into why demos are easier than trust, how revealed preference drives better pivots than surveys, and what AI-first operations look like when context beats dashboards. • AI flipping high-cognitive work and raising the bar for every role • Why entrepreneurship matters more than traditional management • Speedy vibe-coded prototypes versus enterprise-grade products • Security, permissions, governance, and the real cost of trust • The limits of AI for creativity and naming despite strong research output • Revealed preference as a founder discipline driven by user behavior • The analytics trap and how dashboards can fossilize workflows • AI in the middle of the business with a shared context graph • Observer agents that investigate quietly and escalate only when needed • Coaching culture versus invasive surveillance approaches • A practical path toward $10M ARR with fewer than 10 employees • Openness, trade, and the societal risks of turning inward AI just made execution cheap, and that changes what founders should obsess over. Rajiv sits down with Geoff McQueen, founder and CEO of WorksightsAI, to unpack what happens when the “business pyramid” flips upside down and high-level cognitive work gets accelerated by frontier models while culture, alignment, and conflict stay deeply human. The result is uncomfortable and exciting: less room for business-as-usual management and a lot more demand for entrepreneurial judgment at every level. We get concrete about the gap between a vibe-coded demo and a product an enterprise can actually trust. Geoff walks through the unglamorous realities that decide whether AI-built software is real or risky: security, access control, permissions, privilege escalation, reliability, and governance. If you’ve ever watched an agent claim it “did the work” while quietly failing, this part will sharpen how you evaluate prototypes, MVPs, and production systems. Then we go deeper on product strategy and go-to-market. Geoff explains why revealed preference beats stated preference, why surveys can mislead founders, and how the “analytics trap” shows up when dashboards fossilize workflows instead of explaining what’s truly going on. We also explore AI-first operations and continuous performance intelligence built around corporate context across Slack, calendars, docs, tickets, CRM, and code, plus how observer agents can help leaders coach instead of police. If you’re building with AI, leading a team through change, or trying to scale efficiently, you’ll leave with a clearer playbook for direction, trust, and leverage. Subscribe, share this with a founder friend, and leave a review. What’s the first workflow you’d redesign if context became instantly searchable? Geoff McQueen: https://www.linkedin.com/in/geoffmcqueen/ Geoff McQueen, the Founder and CEO of WorkSightsAI, a continuous performance intelligence platform that helps modern leaders run their businesses with AI.  A four-time founder with over 20 years of experience building and investing in tech startups, Geoff was formerly the CEO and Co-Founder of Accelo, which he scaled to over $14 million in annual recurring revenue before a successful exit to private equity in early 2024.  Armed with an MBA from the Sydney Business School at the University of Wollongong, today, he also serves as an Executive Director of the Aussie Founders Network and has spent over 13 years as an investor and mentor at Startmate, Australia's equivalent to Y-Combinator. Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    1h 2m

  2. Jun 26

    Why Buyers Say Yes/Dr. Christophe Morin - Neuromarketing, Psychedelics, Hawaii ~ Spark of Ages Ep 66

    Rajiv Parikh talks with Dr. Christophe Morin about why AI can be deceptively convincing, how to use custom GPT guardrails to make it safer, and what synthetic consciousness might actually mean. We also explore neurospirituality and neuroplasticity as practical tools for founders who want to scale without letting stress, anxiety, or savior patterns run their lives. • AI as a persuasive mirror that can hallucinate and mislead • Synthetic consciousness versus consciousness claims • Custom GPTs as curated knowledge containers with guardrails • Synthetic personas for market research and messaging tests • COVID as a catalyst for depression and a deeper pivot into wellness • Stress, anxiety, depression, addiction, and trauma as nervous system signals • 26 balance-restoring practices including nature, prayer, and meditation • Psychedelics as an emerging neuroplasticity conversation • Savior complex leadership patterns and how neuroplasticity rewires them • Why talk-only approaches can be slow and inaccessible for many people • Flow state as hypofrontality and trusted performance under pressure AI is getting better at sounding right, and that’s exactly what makes it risky. We sit down with Dr. Christophe Morin, bestselling author of "The Persuasion Code", "Neuromarketing AI", and "Open", to unpack why generative AI can be deceptively persuasive, how hallucinations turn into “trusted” advice, and why using chatbots for emotional support can create a dangerous feedback loop for vulnerable people. From there, we get concrete. Christophe explains how custom GPTs and curated LLM setups can act like safer containers for vetted, proprietary knowledge, instead of a grab bag of blended theories and fabricated citations. We also explore how AI can help marketing teams through synthetic personas and pattern detection, not to emotionally “sell” the machine, but to test and sharpen messaging meant for real humans whose decisions start in the primal, emotional brain. The conversation turns personal and practical for founders and CEOs: stress is not always bad, but toxic stress spreads fast and can hijack leadership. Christophe shares how neuroplasticity enables real rewiring of long-held beliefs, why savior-complex leadership can quietly fuel anxiety and addiction patterns, and how neurospiritual practices like meditation, nature exposure, prayer, and emerging psychedelic research fit into a grounded self-healing framework. We close with flow state science, plus a fun Spark Tank detour into feline behavior that somehow reinforces the point: nervous systems need real release valves. Subscribe for more conversations at the intersection of AI, persuasion, and human performance, and if this one helps you, share it with a founder friend and leave a review. Christope Morin: https://www.linkedin.com/in/christophemorinphd/ Dr. Christophe Morin is the bestselling author of multiple books, including The Persuasion Code, Neuromarketing AI, and OPEN: A Neurospiritual Exploration of the Self-Healing Power of Your Brain.  Christophe is the co-architect of the NeuroMap® model of persuasion and the creator of the OPEN™ framework, and the CEO and Co-Founder of SalesBrain, the world's first neuromarketing agency, and more recently the Founder of the Institute for Soul.  Christophe holds an MBA from Bowling Green State University and a Ph.D. in Media Psychology from Fielding Graduate University, where he serves as adjunct faculty alongside his role as an AI lecturer at Johns Hopkins University.  Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    1h 1m

  3. Jun 5

    The Real Reason Your Revenue Team Is Failing/Bridget Winston - Metrics, Cheetahs, B2B+B2C ~ Spark of Ages Ep 65

    We sit down with Bridget Winston to unpack what separates a real Chief Revenue Officer from a bookings-focused sales leader, and why the org chart tells you the truth faster than the job title. We get practical about SaaS metrics, AI-driven go-to-market, and the leadership habits that keep teams performing as the playbook keeps changing. • Evaluating a CRO remit by reporting lines and revenue accountability • Using GRR and NRR to diagnose product-market fit and ICP clarity • Treating revenue as a lagging indicator of customer centricity • Preparing for LLM-driven discovery with brand, PR, and earned media • Testing AI tools that shrink territory and quota planning cycles • Shifting budget from paid ads to community-led growth and local events • Turning customer testimonials into repeatable social proof loops • Managing humans and AI agents with specific, camera-ready feedback • Fixing incentives and systems before blaming the team • Creating urgency with day-five impact expectations instead of tired 30-60-90 plans Your org chart can tell you whether you’re hiring a true Chief Revenue Officer or just renaming a VP of Sales. We sit down with Bridget Winston, CRO at Patient Now and a three-time CRO, to get brutally clear on what revenue ownership actually means and why “bookings” is a dangerous north star when retention and expansion are what compound. We dig into the SaaS metrics that expose reality fast: GRR, NRR, LTV to CAC, and how boards interpret dashboards when product-market fit and ideal customer profile are still shaky. Bridget shares a sharp reframing that stuck with us: revenue is a lagging indicator of customer centricity. From there, we zoom out to the “SaaS-pocalypse” conversation and what happens to pricing, planning cycles, and revenue per employee as AI turns some companies into dinosaurs and others into cheetahs. Then we get tactical about the LLM era of B2B discovery. If buyers are finding software through ChatGPT-style answers, Reddit threads, G2-style reviews, and YouTube, we need consumer-grade brand building, PR, and community-led growth that creates earned media AI can’t ignore. Bridget also breaks down AI tools she’s used to compress territory planning and quota work from months to weeks, plus AI coaching that improves call quality and handoffs without blowing up day-to-day operations. We even take a fun detour into Spark Tank wine trivia, then bring it back to leadership: how to give feedback with real specificity, fix systems before blaming people, and set expectations for day-one impact. Subscribe, share this with a revenue leader, and leave a review so more builders can find the show. Bridget Winston:  https://www.linkedin.com/in/bridgetwinston/ Bridget Winston is the Chief Revenue Officer at PatientNow, leading go-to-market and customer-facing teams across a rapidly growing vertical SaaS platform in the fast-expanding $20 billion aesthetics and wellness industry.  A three-time CRO with over 20 years of experience, Bridget was formerly the CRO at Chief, where she led membership growth and helped the company reach a $1.1 billion valuation. During her tenure, Chief was recognized by TIME as one of the 100 Most Influential Companies and by Fast Company as one of the Most Innovative Companies. Before that, Bridget served as the CRO at Shutterstock, growing revenue to $300 million. Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    1h 1m

  4. May 22

    Eric Ries (Incorruptible) on Why Good Companies Go Bad (And How to Stop It) ~ Spark of Ages Ep 64

    We sit down with Eric Ries, author of "The Lean Startup" to discuss his new book "Incorruptible: Why Good Companies Go Bad... and How Great Companies Stay Great" (which launches later this week on May 26) to name the force that pulls great companies off mission and to map concrete ways to build businesses that stay great as they scale. We also get into AI agents, vibe coding risks, and why trust, empathy, and stories can outperform metrics when the stakes are real. • corporations as superorganisms with emergent intelligence and moral character • slow AI vs fast AI and why governance becomes the bottleneck • shareholder primacy as a self-defeating objective function that rewards value destruction • why validated learning cannot be outsourced and how AI should teach, not replace, understanding • how VC incentives can shift toward longer-term fund structures and mission-driven returns • mission-controlled companies and governance fortresses that protect purpose without founder hubris • the Virgin America story and the need for a mission guardian • Devoted Health as an example of operationalized empathy that reduces churn and builds loyalty • performance reviews as story-harvesting systems and the danger of surrogation by metrics • HEB’s crisis decision as a compounding trust investment A company can be wildly successful and still be losing something essential. Eric Ries joins us to explain why, and he doesn’t blame a few “bad actors” or a vague culture problem. He names the physics: financial gravity, the invisible pull that bends incentives, board decisions, and leadership behavior toward extraction and short-term wins. Along the way, we talk about his new book and what it takes to protect a mission when the money gets serious. We dig into corporations as “superorganisms” and why organizations function like slow AI, then connect that to fast AI and the rise of autonomous agents inside the enterprise. Eric lays out why shareholder primacy is an objective function that can reward value destruction, how governance “best practices” often fail in the real world, and what mission-controlled structures can look like when you want checks and balances without creating an unaccountable emperor-for-life. Then we go practical and a little spicy: vibe coding, overconfidence, black swans, and what validated learning means when code is generated faster than humans can evaluate it. We also get into trust as a compounding asset, with stories like Virgin America’s mission getting liquidated, Devoted Health operationalizing empathy, and HEB proving customer-first values under crisis conditions. Plus, we run Eric through a sci-fi corporate governance lightning round that hits Blade Runner, Murderbot, Alien, and Terminator 2. Eric Ries: https://www.linkedin.com/in/eries/ Eric Ries is an accomplished serial entrepreneur, advisor, and New York Times bestselling author,  creating the Lean Startup methodology and writing the iconic book The Lean Startup, which has sold over a million copies worldwide.  His highly anticipated new book, "Incorruptible: Why Good Companies Go Bad...and How Great Companies Stay Great" releases May 26: https://www.amazon.com/Incorruptible-Good-Companies-Great-Stay/dp/B0FWZZBPZB Eric is a partner at Unshackled Ventures and also the Founder and Executive Chairman of the Long-Term Stock Exchange (LTSE).  Eric is also the co-founder of the AI R&D lab Answer.AI, a former entrepreneur-in-residence at Harvard Business School and IDEO, and the host of his own podcast, The Eric Ries Show. Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    51 min

  5. May 8

    How AI is Actually Melting the Org Chart/Mike Ni - Burnout, Context, Outcomes~ Spark of Ages Ep 63

    Rajiv talks with Mike Ni (Constellation Research) about why AI makes old go-to-market playbooks less useful and why experience, judgment, and outcome thinking become the real edge. We break down enterprise-grade context, closed-loop learning, and what changes when humans start managing both people and AI agents. • LLMs commoditizing expertise while elevating experience and question quality • Aligning go-to-market work to outcomes as roles converge across marketing and sales • Humans becoming the bottleneck through constant review and context switching • Defining enterprise context through semantics, memory, and traceability • Replacing dashboards with learning loops and decision automation that improves over time • Comparing Meta’s closed-loop AI ROI with Microsoft’s slower enterprise payoff • Rethinking SaaS pricing as seat counts fall and value shifts toward decisions and platforms • System integrators pivoting from stitching apps to redesigning end-to-end AI-enabled processes Your best “proven” playbook might already be obsolete, and AI is the reason. From Park City, Utah, we sit down with returning guest Mike Ni, VP and principal analyst at Constellation Research, to unpack what happens when large language models commoditize expertise and the real differentiator becomes experience, judgment, and asking better questions. If you lead go-to-market, marketing, sales, RevOps, or product, the stakes are no longer incremental improvements. The pressure is to design for outcomes and build systems that learn faster than your competitors. We dig into why humans are suddenly the bottleneck in AI-enabled workflows, and how burnout shows up when people sit in the middle of automated flows doing nonstop review and context switching. That leads to a provocative shift: managers won’t just manage humans, they’ll manage AI agents too. To make that workable, enterprise AI needs more than a clever chatbot. It needs context you can trust: shared semantics, stateful memory, and decision traceability so inputs stay fresh, constrained, and permission-aware at execution time. We also break down “dashboards die, decision loops live”, why closed-loop learning makes ROI provable, and the tale of two cities between Meta’s immediate AI payoff and Microsoft’s more gated enterprise story. Then we get practical about SaaS pricing pressure as seats decline, plus how system integrators can move from integration tax to building unified systems of context while controlling token costs with the right mix of ML and generative AI. Mike Ni: https://www.linkedin.com/in/michaelni/ Mike Ni is the VP & Principal Analyst at Constellation Research, Inc., having previously served as the CMO of Openprise, CGO Coveo and CPO at Avangatel. Drawing on over 25 years of executive experience, Mike specializes in driving growth for SaaS companies and brings deep expertise in product strategy, go-to-market execution, and RevOps-enabled journey orchestration.  In his current role, he covers the fast-evolving Data-to-Decision Automation landscape. Mike also holds an impressive "trifecta" of degrees: a BS in Mechanical Engineering from MIT, an MS in Systems Engineering from Stanford, and an MBA from Harvard Business School Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    35 min

  6. Apr 25

    Future of Work: How Humans & Agents Will Coexist/Neil Shepherd, Amit Malhotra - Tasks, Tyrants, Org Charts ~ Spark of Ages Ep 62

    Rajiv sits down with Neil Sheperd (formerly Cohere, Scale AI, BCG, McKinsey) and Amit Malhotra (formerly buybuy Baby, 1-800-Contacts) to get brutally specific about how humans and Agentic AI will coexist in the future workplace.  They discuss how AI changes tasks first and why the shock may hit high-skill jobs sooner than most people expect. We debate agent guardrails, attention economics in B2B marketing, and the leadership skills that still matter when execution gets automated. • AI replacing tasks before whole jobs • Why high-paid cognitive work can be disrupted fast • What makes agentic AI different from expert systems • Enterprise mistakes like boxing work into factory tasks • B2B marketing when content gets commoditized • Brand trust as a shortcut for scarce attention • Guardrails to prevent KPI chasing and hidden technical debt • Using tight use cases and human-in-the-loop verification • American Dream Index and AI as an inequality accelerant • Lessons from imperial governance for decentralized autonomy • How org charts tighten while individuals become “IC++” with agents • Clear intent-driven orders as the new management skill AI isn’t waiting politely at the edges of the org chart. It’s already taking tasks, and the uncomfortable twist is that high-skill, high-wage work may feel the impact sooner because the cost arbitrage is impossible to ignore. From Park City during our Growth Marketing Summit, we gather for a roundtable on the future of human work, enterprise adoption of AI, and what this acceleration means for leaders trying to stay useful and humane at the same time. We talk agentic AI beyond the demo: where it actually lands in real companies, why “optimize the KPI” can become a Trojan horse that piles up technical debt, and how to design guardrails when agents move faster than any human can audit. We also dig into B2B marketing strategy as the cost of content trends toward zero, making attention, trust, and brand credibility the real battleground for growth. Neil shares what he’s building with the American Dream Index and why affordability data matters when AI can widen inequality. Amit brings lessons from past tech cycles plus a surprising angle from imperial history on decentralized governance, autonomy, and scope creep. We end with what leadership looks like in 2026: clear intent, better judgment, and teams that include both people and AI agents. Neil Shepherd: https://www.linkedin.com/in/neilshep/ Neil Shepherd, Neil is the Founder of the American Dream Index.  A seasoned growth executive with 25 years of experience in Silicon Valley, he most recently served as the VP of Growth at Cohere, and has led marketing and digital strategy at organizations like BCG, ScaleAI, PayPal, and McKinsey. Neil is an expert in product-led growth, data science, and leveraging generative AI, where he helps companies scale their revenue and user acquisition. Amit Malhotra: https://www.linkedin.com/in/amitx/ Amit Malhotra is a Private Equity Operating Advisor and technology builder. With over two decades of experience at the intersection of AI, digital transformation, and business growth, he has led massive turnarounds and rebuilt technology stacks from scratch for major brands like buybuyBABY and 1-800 Contacts. Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    1h 2m

  7. Apr 13

    Brand & Demand: The Marketing-Sales Marriage/Randi Barshack, Nicole Fuselier - Alignment, MQLs, Creativity ~ Spark of Ages Ep 61

    We break down what great B2B marketing looks like when creative storytelling meets revenue discipline and tighter sales alignment. Randi Barshack (CMO at Dusty Robotics)and Nicole Fuselier (VP of Demand and Growth at SambNova Systems) share how they measure what matters, build trust across teams, and use AI without giving up human judgment. • creativity plus process as the core of great marketing • “vitamin vs painkiller” framing for product market fit • sales and marketing alignment built on shared definitions and consistency • moving beyond MQL volume toward pipeline quality and true hand raisers • raising the bar with fit-and-intent scoring and later-stage intent signals • brand storytelling that stays authentic for skeptical buyers using customer proof • managing BDR and inside sales feedback loops to improve targeting and messaging • vanity metrics to remove from board decks and brand metrics to defend like share of voice • AI marketing debates on autonomy, fact-checking, and personalization done well • navigating outreach noise with credibility, social channels, and in-person touch Brand or demand gen? Creative or metrics? Most B2B marketing teams get trapped in false choices, then wonder why pipeline feels inflated and trust feels thin. We sit down with Randy Barshack and Nicole Fuselier to talk through the real work: blending sharp storytelling with revenue marketing rigor so sales and marketing win together. We dig into the “vitamin vs painkiller” test for product market fit, what alignment actually looks like when definitions spark conflict, and how to move past MQL obsession without losing operational control. Nicole lays out the first step toward a pipeline-first mindset, how she thinks about hand raisers, and why later-stage intent signals can be more honest than early-stage volume. Randy shares how authentic customer-led storytelling wins skeptical buyers, plus practical ways to keep creative work grounded in performance metrics. Then we pressure-test hot AI marketing predictions: autonomous marketing without humans, hyper-personalization, and a future where procurement filters block cold outreach. The takeaway is not anti-AI, it is pro-accountability: use AI to move faster, personalize smarter, and iterate more, but keep humans responsible for facts, taste, and the “edge” that makes marketing memorable. Randi Barshack: https://www.linkedin.com/in/randi-barshack-431a72 Randi Barshack is the Chief Marketing Officer at Dusty Robotics, where they are bringing autonomous robotic layout technology to the construction industry. A 5x CMO, she has guided companies through five major exits representing over $1 billion in value, including acquisitions by IBM, Intel, Appen, Everbridge, and Adobe. Randi is an expert in category creation across nascent spaces like Human-in-the-Loop AI and physical robotics Nicole Fuselier: https://www.linkedin.com/in/nsiegalfuselier Nicole Siegal Fuselier is the VP of Demand and Growth at SambaNova Systems, a company revolutionizing enterprise AI infrastructure and agentic AI. Proudly calling herself a "Revenue Marketer," Nicole has built and led globally scaled teams through multiple acquisitions and IPOs at companies like Matterport, Magento, and Wurl, while also spending over a decade building customer advocacy programs at Cisco. Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    56 min

  8. Mar 30

    From API Economy to Agent Economy/Oren Michels - Barndoor AI, OpenClaw, Agentic Governance ~ Spark of Ages Ep 60

    Rajiv talks with Oren Michels about why enterprise AI ROI stalls when tools live in chat and stay stuck in read-only mode. We break down how a control plane for AI agents enables safe write access across SaaS and internal systems while keeping governance tight. • chat interfaces working for developers but not for most business roles • connectivity and trust as the core blockers to enterprise AI adoption • one control plane to manage many AI models and agent tools • task-level guardrails that limit what each agent can do • a concrete write-access workflow across Google Sheets, email, and Salesforce • scaling protections like rate limiting, token spend controls, and activity logs • MCP as a way to expose a safe subset of API capabilities to an LLM • least privilege for agents with gradual permission expansion over time • moving from identity-based access to intent and context-based policies • Venn.ai as a single-user on-ramp to governed automation • Broadway business history in the Spark Tank and why creative structure matters • lessons from selling Mashery to Intel and operating inside a zero-failure culture • founder advice on execution and choosing co-founders wisely AI looks magical in a demo, then it hits the enterprise and the ROI mysteriously evaporates. The gap is not model quality, it is operations: most companies trap AI in chat, strip away connectivity, and keep it read-only because write access feels too risky. That is how you end up with polished summaries instead of real work getting done. We sit down with Oren Michels, founder of Barndoor AI and former CEO of API management pioneer Mashery (acquired by Intel), to unpack what it takes to run an agentic workforce safely. We dig into the idea of an enterprise AI control plane that lets teams pick the best agents and models while centralizing governance, visibility, and policy. Oren shares why “least privilege” matters more for probabilistic AI agents than it does for trusted humans, how Model Context Protocol (MCP) can expose safe tool capabilities, and why CISOs want governance outside of the AI vendor’s app. You will also hear concrete examples of high-ROI write access workflows, like pulling context from Gmail and Google Sheets, checking Salesforce, updating records, and drafting follow-ups in minutes. We explore scaling issues such as rate limiting, LLM token spend, and audit logs, plus a crucial architectural shift from identity-based access (“who are you”) to intent-based access (“what are you trying to do”). Oren also explains why Venn.ai exists as a lower-risk way to build trust with agentic automation before the full enterprise rollout. If you like practical enterprise AI, AI governance, security for AI agents, and real agentic workflows that move the business forward, subscribe, share this with a teammate, and leave a review so more builders can find the show. Oren Michels: https://www.linkedin.com/in/omichels/ Oren Michels is the Co-founder and CEO of Barndoor AI, a company building the control plane for agentic AI to safely manage and govern how AI agents interact with corporate systems. Previously, Oren co-founded Mashery in 2006, serving as CEO until the company was acquired by Intel in 2013. A true multi-hyphenate with an Electrical Engineering degree from MIT, Oren is also a Tony-nominated Broadway and Off-Broadway producer.  Website: https://www.position2.com/podcast/ Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/ Email us with any feedback for the show: sparkofages.podcast@position2.com

    51 min
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5
out of 5
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About

The Spark of Ages podcast is about the rapid development of Artificial Intelligence through a marketing lens.  We are living in the middle of the most important "spark for the ages".   Our episodes are either about looking back to teach us what we can learn for this moment, or looking forward for where the next spark might be.We highlight the stories from business leaders at the intersection of marketing, technology and innovation.

Information

  • Creator
    Rajiv Parikh
  • Years Active
    2023 - 2026
  • Episodes
    67
  • Rating
    Explicit
  • Copyright
    © 2026 Spark of Ages
  • Show Website
    Spark of Ages