How I Work
Three engagement models, each designed around what the work actually requires.
Fractional CPO
2–3 days/week · 3–6 month minimumMost growing organizations reach a point where product direction has real stakes, but a full-time CPO isn't the right move yet. The budget isn't there, the search is ongoing, or the function simply doesn't need someone five days a week. What it does need is someone who can own the work at the right level.
I embed 2-3 days per week as your head of product. That means owning the roadmap, driving prioritization, aligning engineering and design, and building the habits your team needs to operate without a senior leader in every room. I bring 15+ years of operating at scale across Amazon, Apple, Google, and Chewy, where I ran product organizations, delivered platforms serving 30,000+ daily users, and drove hundreds of millions in measurable business impact. This isn't consultation from the outside. I'm in the work with your team.
The 3-6 month minimum isn't an arbitrary requirement. Real product change takes time to take hold. I stay long enough to ship, course-correct, and leave your team operating at a higher level than when I arrived.
Best for: Startups and scaling companies that need CPO-level leadership without a full-time salary commitment. Also the right fit for organizations managing an executive gap during a search, or teams that have strong PMs but no one setting direction at the senior level.
Product Advisor
Project-based or monthly retainerSome problems don't need a fractional executive. They need an experienced outside perspective and a well-structured conversation. If you have a capable product leader who's strong on execution but would benefit from a senior thinking partner, this is the engagement.
We work on the problems that benefit most from experience: roadmap prioritization, platform architecture decisions, team structure, go-to-market sequencing, or navigating a specific inflection point in your business. I've worked through these decisions at Amazon, Apple, Google, and Chewy, across consumer and enterprise contexts, in organizations ranging from early-stage to tens of thousands of employees. I know what good product strategy looks like at scale, and I know where it tends to break down.
Engagements are structured around the work, not billable hours. Monthly retainer for ongoing support, or a focused sprint on a discrete problem. Either way, you get a direct, experienced perspective without adding headcount.
Best for: Founders, CPOs, and heads of product who want a seasoned thinking partner without committing to a full-time hire. Also a strong fit for teams navigating a high-stakes decision, a platform inflection point, a market shift, or a reorg where an outside perspective reduces risk.
AI Integration Advisory
Typically project-basedEvery product organization is under pressure to have an AI strategy. Most don't have one yet, or they have one built on vendor pitches and surface-level use cases that won't hold up when it's time to ship. The question isn't whether to use AI. It's where it actually creates durable value in your product and your team's workflow, and how to get there without burning a quarter on the wrong foundation.
I built Chewy's AI enablement program from the ground up, partnering with 20+ product teams to identify where LLMs and AI tooling could drive real, repeatable productivity gains and designing the workflows to make adoption stick. Teams reclaimed 20 hours per week in analyst overhead in the first phase. The results held because the program was built around how teams actually worked, not around what the tools could theoretically do.
That's the approach I bring to clients: a practical, grounded assessment of where AI fits in your product and your organization, what to build, what to buy, what to skip, and how to sequence it so you're shipping real improvements within your current cycle, not twelve months from now.
Best for: Product organizations building an AI strategy from scratch, teams shipping AI-powered features for the first time, or leaders who need an honest, experience-based read on what the current tooling landscape actually means for their roadmap, team structure, and competitive position.
What You Get
Every deliverable below is designed to outlast the engagement. The goal is not a report. It is a system your team runs without me.
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Product strategy and roadmap development. Strategy work should produce decisions, not documents. I work from customer research, competitive context, and real business constraints to build a roadmap your team understands and can execute against. The prioritization model travels with the team. When I leave, your PMs know how to run the process without escalating every tradeoff to leadership.
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Quantitative prioritization frameworks. Most teams prioritize by instinct, momentum, or whoever made the strongest case in the last sprint review. I built a quantitative prioritization system at Chewy that standardized decision-making across 20+ product teams and eliminated the peak-season escalation cycles that had been consuming leadership bandwidth for years. The framework survived my transition out of the role because it was built to be owned by the team, not by me.
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Data infrastructure and analytics strategy. If your team is making product decisions without reliable data, or spending engineering cycles on measurement infrastructure that doesn't surface the right signals, that's where the work starts. At Amazon, I led the re-architecture of an operational metrics platform used daily by 30,000 people across 300+ global fulfillment sites, cutting load times from three minutes to five seconds and enabling decisions that contributed to hundreds of millions in efficiency gains. Good analytics infrastructure is a product decision. I treat it like one.
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Team coaching and performance management. Leadership gaps rarely look like open headcount. They look like PMs who are technically capable but not operating at the right level, managers who haven't learned to delegate, and teams that wait for a senior leader to make the call. I've managed product organizations of 13+ people across multiple time zones, coached 20% of my direct reports to promotion, and turned around 30% of underperformers through direct feedback and structured development plans. I work with your team directly, not around them, because the goal is capability that outlasts the engagement.
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AI/LLM workflow integration for product teams. AI tooling is moving faster than most product teams can evaluate it. I built and ran Chewy's AI enablement program across 20+ product teams, developing the evaluation criteria, workflow designs, and internal playbooks that made LLM adoption practical and durable. Teams reclaimed 20 hours per week in analyst overhead in the first phase, and the frameworks held because they were built around how teams actually worked, not around what the tools could theoretically do. The goal is never AI for its own sake. It's sustainable gains that hold up once the engagement ends.
Track Record
Numbers from real work, not projections.
Who I've Worked With
Enterprise organizations and early-stage clients. The problems are different. The approach isn't.
Enterprise analytics platforms, supply chain optimization, ML and computer vision integration, and global fulfillment operations across 300+ sites.
New product launch strategy for Apple Watch 1.0, contact center product development, and platform integrations deployed across 2,000+ support agents worldwide.
Technical e-commerce partnerships and product listing ads at scale, managing the Google–Walmart relationship across 10,000+ daily product listings generating $10M+ monthly.
Compliance analytics, executive reporting infrastructure, product-led growth, and AI/LLM enablement across the full product organization.
Fractional product leadership and advisory for non-profits, retail, and e-commerce businesses in the Pacific Northwest. Engagements ongoing since November 2025.
Let's Talk
If you're building something that matters and need senior product leadership to get it right, reach out. The first conversation is straightforward: you explain the problem, I tell you honestly whether I can help.