Why Voygr
VOYGR (YC W26) is building a real-world index every AI agent and App will need. Google says '4.2 stars, open till 10’ – VOYGR knows the chef left, wait times doubled, and locals moved on. This is 1T agentic queries per year that need every place verified and always fresh. Existing sources disagree with each other, go stale within months, and nobody maintains them fast enough.
Everyone loves maps. No one is building this at the infrastructure layer for AI. We do.
We are backed by Y Combinator and top investors with a multi-year runway. We already have real revenue and enterprise contracts. The founders are tech industry veterans (ex-Google Search & Maps, Meta, McKinsey, Harvard). You'll work directly with them.
The role
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. Search infrastructure, data pipelines, ML, APIs, product – you move across all of it depending on what matters most that week.
You're a true generalist. Backend, frontend, AI engineering, data systems, product thinking, growth experiments – you pick things up and run with them.
You
Nice to have: Geospatial/POI data · eval systems · agentic frameworks
The pace
This is a founding role at a fast growing company. We work intensely – nights, weekends, whatever the problem demands. This is not a role for coasters or people optimizing for work-life balance right now. If you want to build critical infrastructure for AI, learn a lot, and want the ownership to match – it is a good match.
Tech stack
Python, FastAPI · ML/AI: custom models, LLM APIs (OpenAI, Gemini, Anthropic) · PostgreSQL, PostGIS, DynamoDB · AWS (EKS, CloudWatch), Docker, Redis
What we offer
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.
Salary
$150,000 - $200,000
Equity
0.5% - 2%
Location
New York, NY, US / San Francisco, CA, US
