About me
I build product strategy and stay close enough to the system to work directly with engineers on APIs, identity, data flows, cloud architecture, observability, and implementation trade-offs.
Career evidence
25 years
Across software engineering, architecture, and product leadership
600M+
Google Maps Local Guides after scaling from approximately 60M
70+ / 400+
Toyota / Woven services and engineers in the developer ecosystem
100K+ / 800M+
Catalina retail locations and consumer profiles
Product leadership grounded in engineering
My range lets me wear the hat the work requires: product leader, architect, analyst, or engineering partner. I move between enterprise vision and implementation to clarify what a platform should own, how teams should use it, what should be measured, and how an architectural idea becomes something engineers can ship.
I have built and scaled developer platforms and multi-sided ecosystems at Toyota / Woven, Google Maps, and Catalina. The work connected strategy to API contracts, identity, distributed data, developer experience, ecosystem incentives, governance, monetization, and international delivery.
Systems where product and architecture moved together
Senior Product Manager, Developer Platform and Ecosystem
2023 onward
Led product strategy and technical direction for a unified project console, marketplace, and platform fabric spanning provisioning, tenancy, usage, identity, consent, APIs, data, governance, observability, and production readiness across three divisions and external partners.
Reduced identity integration effort by 60% and improved developer onboarding speed by 12x.
Read the case study
Senior Product Manager, Contributor Platform and Ecosystem
2020–2023
Owned contributor incentives, progression, loyalty, discovery, and ecosystem-health measures across reviews, photos, edits, and factual updates used throughout Maps.
Scaled Local Guides from approximately 60 million to more than 600 million registered contributors.
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Director of Platform Product
2010–2020
Advanced the data platform and analytics products, then built a campaign and advertising platform from zero for real-time store integration. The work evolved Catalina from batch processing into a modern omnichannel platform and expanded from the US into Europe and Japan.
Delivered sub-100ms targeting across billions of live events and 10% to 20% annual campaign-revenue growth.
Read the case studySenior Architect, Software Engineer, and Engineer
2000–2010
Built enterprise, payments, and distributed software systems. That engineering foundation still shapes how I move from a customer opportunity into interfaces, data flows, architecture, and implementation trade-offs.
Selected intellectual work
US20180336597A1
US patent
Offer-personalization system connecting ad requests, device identity, retailer loyalty data, campaign logic, and delivery.
US20140249885
US patent
Customized search results using shopping history, retailer identity, promoted products, loyalty, and promotional incentives.
Cloud Personalization at Scale
Red Hat Summit
Presented Catalina's cloud transformation and personalization-platform work with Microsoft Azure and Red Hat.
Technical capabilities
I can move from the product decision into system boundaries, contracts, data flows, and delivery trade-offs with the engineers responsible for making the platform work.
Developer platforms and API architecture
I define platform boundaries, API contracts, resource and ownership models, integration patterns, versioning, discovery, governance, observability, and production-readiness expectations. At Toyota / Woven, that work supported a developer ecosystem spanning 70+ services and 400+ engineers.
Identity, consent, and access
I design identity flows for employees, partners, applications, and end users across authentication, authorization, consent, privacy, and multi-tenant access. A unified OIDC-based platform at Toyota / Woven reduced integration effort by 60% and improved developer onboarding speed by 12x.
Real-time data and distributed systems
I work across event flows, data models, runtime dependencies, latency budgets, and governed data access. The systems include billions of telemetry and point-of-sale events, 10,000+ IoT and vision-AI devices, and sub-100ms decisioning across retail networks.
Cloud delivery and production readiness
I connect cloud architecture to the operating model engineers need to ship and support it: deployment paths, CI/CD, observability, dependency ownership, reliability trade-offs, and international integration constraints across the U.S., Europe, and Japan.
Applied AI, ML, and experimentation
I turn machine-learning capabilities into products with a measurable decision loop. That work spans personalization, segmentation, targeting, experimentation, attribution, vision-AI data access, ecosystem-health metrics, and the product boundaries required to operate them responsibly.
Bring me the opportunity worth accelerating.
I can work with leadership on the product decision, with staff engineers on the system boundary, and with the delivery team until the result operates in the real world.
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