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
You'll work across our stack on a wide range of tasks – building APIs, data pipelines, ML integrations, product features, and infrastructure. The work changes week to week depending on what's most important. You'll get clear direction but also the space to figure out the best way to execute.
You
Ready to apply? Let us help you stand out.
Nice to have: Geospatial/POI data · eval systems · agentic frameworks · LLM prompting
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
$4,000 - $7
Location
Remote
