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As a battle-scarred TPM, I navigate the chaotic intersection of Technical Program Management and AI, wrestling with the hype while keeping complex programs on track. Here's my reflection on execution strategies, stakeholder alignment, and building trust in this evolving landscape.
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In the rapidly evolving landscape of AI, Technical Program Managers are the unseen architects behind successful initiatives. This post explores how TPMs frame execution strategies, align stakeholders, and build cross-functional trust to keep complex programs moving forward.
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As we navigate the complexities of AI in tech, we must balance innovation with ethics, ensuring sustainable adoption while managing risks. Join me in reflecting on how TPMs can shape the future of AI projects.
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As a seasoned TPM looking back, I share insights on mastering stakeholder dynamics, building empathy, and aligning diverse teams in the face of AI challenges. Here’s how adapting communication and creating clarity can transform ambiguity into action.
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Discover how TPMs can weave psychological safety, meeting hygiene, mentoring, role modeling, and autonomy into the fabric of engineering culture, ultimately enhancing execution effectiveness in AI-driven projects.
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As a startup TPM, I’ve witnessed the whirlwind of AI adoption. Join me as I reflect on the challenges and lessons learned in managing AI projects while ensuring ethical standards, evaluating vendors, and fostering collaboration between teams.
Neural networks sit at the heart of modern AI. Modeled loosely on the brain, they process information in layers—nodes passing signals, strengthening or weakening connections based on experience. They’re not linear. They’re adaptive. They’re built to learn from complexity. Sound familiar? That’s the Technical Program
There’s a thought experiment in physics called the “heat death of the universe.” Everything evens out, no more stars, no more fireworks, just quiet equilibrium. Now picture the heat death of program management—but not as an end. As a transformation. What if your programs didn’t need a
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In the dynamic world of tech, effective processes can be the difference between chaos and clarity. Join me as I share my hard-earned lessons on incident management, SLOs, quality gates, and the delicate balance of governance and speed in the realm of TPM and AI.
There’s a wild thought that hit me this week: what happens when AI doesn’t just process our work, but actually dreams about it? I don’t mean in some fluffy metaphorical way. I mean literally. Today’s models “train” on past data and “infer” on new prompts. But
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As a seasoned TPM, I've learned to navigate the complexities of AI projects. Join me as I reflect on the art of influencing through trust, planning, and communication, all while keeping the wheels of innovation turning smoothly.
Hey friends 👋 — I’m Robert. I’ve been in the tech industry for 25 years. Ten of those years I spent writing code as an engineer, and the last 15+ years I’ve been in leadership and now Technical Program Management at companies like Ancestry, Google, Amazon, Grammarly, and Meta.