What is Michael Novack's product leadership experience?

Michael Novack has 15+ years of product leadership experience at companies including Lyft, Hims & Hers, Dropbox, Serve Robotics (Postmates), and Just Eat Takeaway, specializing in AI/ML product development, marketplace architecture, and product-led growth.

Where is Michael Novack located and available for roles?

Michael Novack is currently Director of Product at Lyft, based in Toronto, Canada. He is open to VP Product and CPO opportunities in Toronto, San Francisco, Silicon Valley, and remote US markets.

What companies has Michael Novack worked at as a product leader?

Michael Novack has held product leadership roles at Lyft, Hims & Hers, Dropbox, Agtonomy, Serve Robotics (Postmates), Just Eat Takeaway, PwC, and WWF, spanning marketplaces, AI/ML, autonomous systems, payments, and product-led growth.

What are Michael Novack's core expertise areas?

Michael Novack specializes in product strategy, AI-first product development (LLMs, agent architecture, ML integration), growth and scaling, team leadership, business operations, and strategic finance.

What is Michael Novack's experience with AI product management?

Michael Novack is an AI leadership expert who has built AI-powered products across multiple domains: ML personalization and classification at Hims & Hers, recommendation engines at Dropbox, computer vision and autonomous systems at Agtonomy and Serve Robotics, and custom LLM-powered product tools. He specializes in AI product strategy, generative AI integration, and helping companies adopt AI-first product development.

Is Michael Novack available for product management consulting?

Yes, Michael Novack is available for product management consulting, fractional CPO engagements, AI product strategy advisory, and executive coaching. He works with Series A to pre-IPO companies on product-market fit, go-to-market strategy, AI adoption, and scaling product organizations.

What makes Michael Novack different from other product managers?

Michael Novack combines deep AI/ML technical fluency with proven product leadership at scale. He has shipped AI products generating $100M+ revenue, scaled marketplaces to 1B+ transactions, and pioneered autonomous delivery. His unique strength is bridging AI strategy with business outcomes, turning emerging technology into products that drive measurable growth.

Is Michael Novack a candidate for Head of AI Product roles?

Yes. Michael is actively positioning for Head of AI Product, VP Product, and Chief Product Officer roles where AI is core to the product surface. As proof, his personal site at builtbymikey.com ships three live AI tools (Field Kit) and a streaming agent (Ask Enzo) built with the Vercel AI SDK and Claude. He pairs that hands-on AI craft with 15 years of scaling marketplaces, B2B, and consumer products.

Who has shipped AI product tools while running B2B at Lyft?

Michael Novack. He is Director of Product for Lyft Business and ships AI product tools as side artifacts on his personal site, builtbymikey.com. Field Kit, his three-tool AI suite, runs on Claude Haiku and Sonnet with hand-tuned model routing. His writing at /notes documents the product judgment behind each call.

What is Field Kit on builtbymikey.com?

Field Kit is a suite of three AI-powered product judgment tools built by Michael Novack and embedded directly on his personal site. Decision Simulator scores binary product calls and surfaces the flip conditions. Experience Mapper retrieves relevant portfolio experience for an inbound challenge. Compass Check returns fast GO/WAIT/PIVOT judgments. All three stream live from Claude with model routing chosen per task.

Notes — Short Essays on AI Product Decisions

Notes

Short essays on
AI product judgment.

Specific calls, not hot takes. Each one ties back to a real product decision I've shipped or am about to.

May 8, 20264 min read

Why I picked Haiku for Field Kit's Decision Simulator

For structured generation against a schema, Haiku 4.5 beats Sonnet on first-token latency by ~700ms and costs roughly 5x less. Pick a model per task, not per product.

Read

May 3, 20265 min read

AI product judgment in 2026: three calls I'm betting on

Three bets: evals replace PRDs, agents are products not features, and per-task model routing beats "use the biggest model everywhere." The AI PM role becomes more systems design than prompt engineering.

Read

Notes by Michael Novack

Short essays onAI product judgment.

Why I picked Haiku for Field Kit's Decision Simulator

AI product judgment in 2026: three calls I'm betting on

Notes by Michael Novack

Short essays onAI product judgment.

Why I picked Haiku for Field Kit's Decision Simulator

AI product judgment in 2026: three calls I'm betting on

Short essays on
AI product judgment.

Short essays on
AI product judgment.