{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Griffin Yianakopolos","label":"Director of Product Management","email":"griffinyanny@gmail.com","url":"https://griffin.yanny.io","summary":"Director of Product Management leading Zillow’s search, consumer communications, and Shopping AI, with 10 years at Amazon and Zillow. Invented and scaled BuyAbility to 5M+ enrolled users and built Fire TV Channels from scratch to 3M+ users. Hands-on builder using agentic coding tools to develop AI systems and improve how cross-functional teams operate.","location":{"city":"Seattle","region":"WA","countryCode":"US"},"profiles":[{"network":"LinkedIn","username":"yianakopolos","url":"https://www.linkedin.com/in/yianakopolos"},{"network":"GitHub","username":"griffinyanny","url":"https://github.com/griffinyanny"}]},"work":[{"name":"Zillow Group","location":"Seattle, WA","position":"Director, Product Management","area":"Search, Consumer Communications & Shopping AI","startDate":"2026-08","summary":"Lead six PMs across search, consumer communications, and Shopping AI, partnering with approximately 53 engineers.","highlights":["Defined Zillow's Shopping strategy across search, home details, and communications; aligned teams on experience quality and personalization, with daily active users as a shared success metric.","Led a cross-functional audit of Zillow AI mode search use cases; defining LLM response and tool-use requirements to guide evaluations and prioritize release blockers with partner teams.","Reorganizing Zillow Search into two cross-platform pods, each with distinct OKRs and a full cross-functional team spanning product, design, data science, and engineering, to enable faster, more autonomous decisions.","Implementing an AI-native operating model through Codex and Claude Code training and a shared context repository that teams and agents use to support aligned, autonomous execution.","Improved leadership decision-making and team accountability by reinventing Zillow’s core Monthly Business Review around input metrics and progress against goals; built AI tooling and partnered with data science to automate preparation."]},{"name":"Zillow Group","location":"Seattle, WA","position":"Senior Manager, Product Management","area":"Core Zillow Consumer","startDate":"2025-02","endDate":"2026-08","summary":"Led four PMs across affordability (BuyAbility and Zillow AI mode), planning, information architecture, app growth, and social impact, partnering with approximately 26 engineers.","highlights":["Scaled BuyAbility from 0 to 5M+ enrolled users in 2 years through experimentation across discovery, save, and enrollment, increasing monthly enrollments by 166%; enrolled users converted to pre-qualification at 10x the rate of non-enrolled users.","Led delivery of BuyAbility in Zillow’s ChatGPT app in six weeks for OpenAI’s inaugural apps launch (Oct. 2025); defined UX, MCP tool behavior, and app-wide metrics and instrumentation.","Partnered with data science on an ML propensity model that improved loan-funding prediction by 35% and targeting accuracy across multiple lines of business.","Led the Experian partnership and credit-verification integration for BuyAbility, targeting 1M verified users; the pricing it secured let Zillow Home Loans consolidate its pre-qualification credit data at a material monthly saving.","Defined the vision and led the cross-platform launch of Zillow’s Plan Tab, a unified planning experience for buyers, sellers, and renters; shaped the C-suite investment pitch and refocused team goals on user activation."]},{"name":"Zillow Group","location":"Seattle, WA","position":"Principal Product Manager","area":"Zillow Home Loans (ZHL) Growth & Experience","startDate":"2023-06","endDate":"2025-02","highlights":["Invented and launched BuyAbility, a real-time personalized affordability product, from concept to iOS/Android launch in 2.5 months; recognized internally as one of Zillow's most significant innovations since the Zestimate (patent pending).","Invented Zillow’s centralized affordability calculation service, defined its logic and product requirements, and shipped the MVP in 3 months; the service now supports BuyAbility, AI mode, search, home details, and payment experiences.","Drove cross-org execution post-MVP: secured roadmap commitments from 12+ teams, funding for +10 engineers and +1 PM, and alignment across 30+ partner engineers to deliver a cohesive multi-surface experience."]},{"name":"Amazon","location":"Seattle, WA","position":"Senior Product Manager (Lead)","area":"Fire TV Content & Video Advertising","startDate":"2021-11","endDate":"2023-06","highlights":["Built Fire TV Channels app from scratch, a free ad-supported streaming service on Fire TV, scaling to 3M+ customers and 5M hours streamed (as of May 2023), unlocking a large incremental video advertising revenue stream.","Led a 50+ person cross-functional team to launch and scale Fire TV Channels, defining the roadmap, aligning senior leadership on resourcing, and delivering multiple releases that achieved 4.1/5 CSAT in beta.","Collaborated with Marketing, BD, and PR to drive adoption of new launches via on-device marketing and press coverage in high-profile publications (The Verge, TechCrunch)."]},{"name":"Amazon","location":"Seattle, WA","position":"Senior Product Manager","area":"Alexa","startDate":"2020-12","endDate":"2021-11","highlights":["Launched targeted notification system reaching 2M+ users for engagement and reactivation; shipped Alexa's first-run voice tutorial to increase active days and reduce lapse."]},{"name":"Amazon","location":"Seattle, WA","position":"Senior Financial Analyst & Financial Analyst I/II","area":"Amazon Ads & Finance Rotation Program","startDate":"2016-08","endDate":"2020-12","highlights":["Finance owner of $400M Devices Display Advertising business, responsible for all planning, modeling, and reporting."]}],"education":[{"institution":"University of Washington","location":"Seattle, WA","studyType":"B.A.","area":"Political Science, focus in Political Economy","startDate":"2012-09","endDate":"2016-06"}],"skills":[{"name":"Product","keywords":["Product strategy and roadmaps","0-to-1 development and scaling","growth and experimentation","user research","product analytics"]},{"name":"AI","keywords":["LLM product development and evaluations","prompt and context engineering","MCP and tool use","multi-agent orchestration","Claude Code and Codex"]},{"name":"Data & tools","keywords":["SQL","Databricks","Tableau"]}],"projects":[{"name":"Meal App","description":"Built an AI meal-planning app that personalizes recipes and weekly plans to household preferences and creates grocery lists; implemented schema-validated LLM outputs and evaluations for generation quality and dietary constraints.","url":"https://github.com/griffinyanny/meal-app"},{"name":"Chief of Staff","description":"Built a personal AI system with persistent context, custom MCP integrations, and scheduled agents for writing workflows and feedback, meeting preparation, task management, and decision support; added a native macOS interface and review controls for automated work, replacing a paid Todoist workflow."},{"name":"Personal Finance","description":"Built a personal finance app with automated bank sync, household cash-flow forecasting, and a tested payment optimizer that recommends what to pay and when; replaced a paid Monarch subscription."}]}