I build products
at the infrastructure layer.

Gathered technical requirements and worked directly with engineering to build core functionality for the My Oracle Support internal developer APIs.

• Analyzed developer use case demand profiles to determine the right interface contract — REST endpoints vs. streaming responses — enabling engineering to make informed infrastructure decisions.
• Translated high-level product direction into clear, actionable development requirements through close partnership with engineering.
• Coordinated API adoption across multiple internal teams globally, running direct working sessions to understand integration use cases and align on interface contracts.

Shaped a SaaS-based live streaming solution, enhancing developer and user experience and driving customer retention.

• Owned the external API strategy for Wowza's live streaming platform — evaluating which capabilities to expose, optimizing resource fetching patterns, and ensuring the surface was intuitive for developers building on top of it.
• Led the initiative enabling on-premise customers to seamlessly leverage cloud features, increasing cross-product adoption across Wowza's hybrid user base.
• Drove product roadmap priorities by synthesizing win/loss analysis and competitive insights with marketing; launched features with OKRs and PostHog success metrics defined upfront.

Principal strategist for VOD streaming backend services — encryption, content delivery, and SSAI — owning the full product lifecycle from discovery through measurement.

• Managed multi-CDN vendor relationships at scale — negotiated commit-tier contracts with Akamai, Edgio, Fastly, and CloudFront, and designed a multi-signal scoring framework for dynamic CDN selection.
• Applied Fastly edge compute to enforce playback restrictions in real time — geo-blocking, domain allowlisting, and token-based access control executed at the CDN edge before content reached users.
• Became the single source of truth for the platform's streaming, encryption, and delivery capabilities across engineering, sales, go-to-market, and leadership.
• Led enterprise customer integration consultations that built trusted advisor relationships — in the room through delivery, not just requirements gathering.
• Championed dynamic SSAI via build vs. buy analysis; drove the decision to integrate a third-party solution, reducing costs while accelerating time to market.

Started as a software engineer building production systems in Ruby, Java, and Android. Transitioned into project management in 2016 — leading cross-functional teams, owning client relationships end-to-end, and scaling agile practices across international teams.

• Managed end-to-end client relationships from requirements discovery through delivery, serving as the primary point of contact for enterprise accounts including Coca-Cola Mexico.
• Introduced and scaled Scrum ceremonies across international teams, improving delivery velocity and cross-team alignment.

Side Projects

Researching and building an AI-powered platform to guide small Mexican businesses (11–50 employees) through structured digital adoption across financial management, CRM, and HR/payroll — using Claude Code to implement the AI agent layer.

• Identified a structural market gap: only 27% of Mexican SMBs use any AI tool, with 86% citing lack of guidance as the primary barrier; translated research from 300+ businesses into MVP scope.
• Designed AI agent architecture to perform organizational diagnostics and generate personalized, step-by-step technology adoption roadmaps calibrated to each business's resources and context.
• Building with Claude Code — implementing the AI agent layer, user onboarding flow, and phased adoption model enabling SMBs to advance digital maturity incrementally.

Led product for an AI agent integration enabling CRM-less customer meeting logging — users capture and retrieve meeting context through a conversational AI agent instead of a traditional CRM.

• Defined MVP scope through user research, identifying core capabilities needed to log and retrieve customer meeting data without a dedicated CRM platform.
• Translated product vision into detailed AI feature specifications — aligning model behavior (tool use, RAG, context grounding) with user intent and technical feasibility.
• Established a dual-layer metrics framework: business metrics (adoption, retention, revenue) alongside UX metrics (task completion rate, agent response accuracy, time-to-value).