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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
Exploring the new operating system of work.
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.
In the whirlwind of startup life, a TPM's role transcends the mundane. With AI as a powerful ally, we navigate execution strategies, stakeholder expectations, and risks, ensuring complex programs thrive amid uncertainty. Here's how we influence the game indirectly while fostering trust.
As a battle-scarred TPM, I’ve navigated the chaotic world of metrics, leading indicators, and vanity metrics. Join me as I reflect on the true essence of data storytelling and the vital trade-offs we face in the age of AI.
As I look back on the early challenges of AI integration, it's clear how Technical Program Management shaped sustainable adoption. From vendor evaluations to ethics guardrails, here's how we navigated the complexities and built lasting frameworks for success.
In the aftermath of a challenging product launch, a skeptical TPM reflects on the metrics that truly matter—leading vs lagging indicators, KPI trees, and the dangers of vanity metrics in the fast-paced world of AI.
In an era dominated by AI innovations, how do Technical Program Managers foster a culture that promotes psychological safety, autonomy, and effective execution? This reflective essay draws from real-world insights, exploring the vital role of TPMs in shaping healthy engineering cultures amidst the …
Mastering stakeholder dynamics is key to a TPM's success. Learn how to foster empathy, adapt communications, and align execs, PMs, and engineers for better project outcomes.
Juggling chaos and AI automation, a startup TPM navigates the intricate dance of incident management, SLO hygiene, and quality gates, while uncovering the fine line between bureaucracy and agility. Join this reflective journey into TPM processes that shape our tech landscape.
In the world of AI and TPM, metrics can be both a guide and a trap. Join me as I share insights on leading vs. lagging indicators, the importance of storytelling with data, and the pitfalls of vanity metrics, all wrapped in a humorous narrative from my journey in tech.
As AI reshapes our tech landscape, a TPM's narrative reveals how to navigate vendor evaluations, ensure ethical data practices, and foster sustainable adoption amidst the noise. Discover the art of framing AI projects with human insight and practicality.
Join me on a humorous yet insightful journey through the maze of TPM processes, from incident management to SLOs, where we navigate the landmines of bureaucracy and cargo cults while seeking the holy grail of agile and adaptive frameworks in the age of AI.
