Getting the problem right, whoever brings it to me.
I listen to customers until I understand what they need, then turn it into a product decision, a fix, or a tool. Lately that means building the software myself with AI systems.
The short version
I've spent four years at Zeitview, a renewable-energy B2B SaaS company serving Fortune 500 wind operators, nine months of it embedded in the product team. That means 20+ enterprise user interviews that directly shaped UI decisions, feature prioritization, and roadmap sequencing; two first-of-their-kind inspection products taken from initial client conversation to final deliverable; a platform unification project where my customer research helped determine which wind products made the core release; and a customer listening program I still run today.
In 2024, Zeitview's product and UX leadership formally endorsed my move onto the product team.
The AI-native part
Alongside the day job I spec, build, and run production AI tools. An upload validator catches vendor dataset errors before they reach customer success and takes engineering off the critical path. A purchase-order automation agent runs daily in production, estimated to save roughly ten hours a week across the customer success team, based on the manual multi-system entry it replaced. Each build is shipped, in use, and written up in my case studies.
The method is consistent: get the problem right, spec it in Claude, build it with Claude Code, put it in front of real use fast, and iterate on what the first week teaches.
Where I stand
My title is Customer Success Manager and Embedded Product Manager. I haven't yet held a standalone PM seat, and I'd rather say so here than leave you to work it out. What stands in for it is on this site: specifications, release notes, and case studies that show how I decided what to build, and where my first spec didn't hold. Process maps each stage of the product lifecycle to the work that demonstrates it.
The fit I'm looking for is product or customer success engineering work in a domain I already know, so the ramp is short: renewable energy, climate, and AI-native software for the teams that run them. Both are the same job from different seats: listen closely, find the real problem, and ship something that solves it.
Timeline
- 2017 to 2021 · Operations and compliance
Regulatory compliance for a national fuel retailer across 105 fueling stations, then production operations in Hawaiʻi aquaculture.
- 2021 · SkySpecs
Led SaaS deployments across five international markets under varied regulatory and operational constraints.
- 2022 · PMP
Earned the Project Management Professional certification.
- 2023 to 2024 · UC Berkeley Extension
Completed the UI/UX Design program while meeting regularly with Zeitview product leadership to train toward the role.
- 2024 · Zeitview product
Formal endorsement onto the product team by product and UX leadership.
- 2025 · PSPO I & PSM I
Added Scrum product owner and Scrum master certifications; began shipping production AI tooling, including a purchase-order automation agent.
- 2026 · AI-native portfolio
A working set of shipped tools (internal, client-facing, and personal), each documented on this site.