Founding Product Engineer
About the role
Founding Product Engineer at VOYGR, a YC-backed real-world place index for AI apps and agents. The role offers broad ownership across backend, frontend, data pipelines, ML and APIs to build core infrastructure for AI-powered place intelligence.
Responsibilities
- Full ownership and agency over what gets built and how. You identify the highest-leverage problem, design the solution, build it, ship it, and own the outcome.
Qualifications
- 5+ years building and shipping production systems (or fewer if your background is unconventional and the work speaks for itself)
- Comfortable across the full stack – backend, LLM prompting, APIs, infra, frontend when needed
- Experience with some combination of: search/IR, data processing at scale, ML systems, data structures/API design
- AI-native – you push Claude Code, Cursor, or similar tools hard, and you have the taste to know when the output is good and when it's not
- Product-minded – you think about the user, not just the code
Skills
Benefits
- Medical, dental, and vision insurance
- 401K plan
- Subsidized meals
- Gym membership
About VOYGR
Real-world place intelligence for AI apps and agents
VOYGR is a better maps API every agent and AI app will need. Google says '4.2 stars, open till 10 – VOYGR knows the chef left, wait times doubled, and locals moved on. Our intelligent local search combines accurate place data with fresh web context – news, articles, and events. We expand beyond 10-15 map attributes into infinite, queryable place profiles, enabling agents to reason and act in the real world. Maps are no longer browsed – LLMs/agents use them to reason and act. 20M+ apps/websites, up to 40% of search queries, and 20% of LLM prompts need local context. 10-15 attributes per place are not enough for AI. Places change constantly - restaurants close, hours change, businesses move. LLMs struggle with semantic queries “Specialty coffee shops in SF with Wi-Fi, popular with YC founders”. Agents cannot reliably “parse half the internet” - they need real-world ontology We’re experienced builders in maps, search, and ML to solve this. Vlad knows this space inside and out – he worked on the Google Maps APIs GTM, plus firsthand customer experience from building in ridesharing and travel. Yarik has spent over a decade leading ML/search teams at Apple, Google, and Meta. Google Places alone is a $XXB/Yr monopoly. Agents turn it into a transactional layer opportunity for local commerce and ads.