Founding Engineer

San Francisco · On-site$150k – $250k

About this role

Founding Engineer

In-Person — San Francisco

Gobi is an AI-powered map and messaging product that helps people figure out where to go and what to do with their friends. We imagine a future where Gobi is the app that people use to connect with the real world and the people that matter to them.

Gobi is well funded (in stealth) by top-tier firms and operators. Our team has built legendary, industry-defining products in consumer before.

We’ve built one of the largest structured indices of everywhere (places) and everything happening (events) in the real world. Now, we’re building a clever, social product experience around that index.

Solve problems like this

  • Search + ranking at massive scale (200M+ places, millions of events)
  • Recommendations + personalization of places + events
  • Real-time infra (chat, presence, location)
  • AI systems that plan, retrieve, and reason over a multitude of data sources

If you’re excited by systems that sit at the intersection of infra, product, and AI — this is your kind of place.

🔧 The Role

You’ll operate as a founding engineer, owning problems end-to-end.

You will

  • Design and ship product + systems from zero → production
  • Work directly with founders on product and architecture
  • Make decisions that shape the core system (not just contribute to it)
  • Move across the stack as needed — frontend, backend, infra, AI

Example problems you might work on

  • Ranking what someone should do tonight using embeddings, structured data, and social signals
  • Pushing Elasticsearch + vector search to sub-100ms across large datasets
  • Building real-time systems that actually feel instantaneous
  • Designing map display algorithms that decide what deserves attention
  • Building agent pipelines that plan queries and synthesize well-informed answers
  • Structuring mountains of invaluable unstructured information on the web to power novel experiences

🧠 Areas of Focus

You don’t need to fit neatly into one — most people here won’t.

Application Engineers (Full-stack)

  • Build fast, expressive interfaces across mobile + web
  • Work deeply on rendering performance and interaction design
  • Own features end-to-end (UI → backend)

Typical tools

  • TypeScript, React
  • React Native / iOS / Android
  • Backend systems in TypeScript

Data / AI Engineers

  • Build the intelligence layer behind Gobi
  • Work on search, ranking, pipelines, and agent systems
  • Design systems that operate over large-scale, messy real-world data

Typical tools

  • Python and/or TypeScript
  • Elasticsearch, Snowflake
  • LLMs, embeddings, retrieval + recommendation systems

🧬 What We Look For

We don’t optimize for resumes. We optimize for slope.

Strong signals

  • You’ve built something technically ambitious end-to-end
  • You have exceptional problem-solving ability (systems, math, or both)
  • You move fast and don’t need much structure
  • You care about taste — not just if something works, but how it feels
  • You like hard, ambiguous problems

Backgrounds we often see

  • Competitive programming / math (IOI, IMO, USAMO, ICPC)
  • Early engineers at high-bar companies
  • Really green github contribution charts

None of this is required — it’s just correlated.

🚫 What This Is Not

  • Not a role where you maintain legacy systems
  • Not a role with tightly scoped tickets
  • Not a role where product is decided for you

If you thrive best with clear boundaries and predictable work, this won’t be a fit.

🚀 Why Gobi

  • Real problems — search, maps, AI, and social systems combined
  • Small, technical team — everyone ships, including the founders
  • High ownership — you can ship meaningful work in days
  • Massive surface area — infra, product, and AI all in one system
  • Trajectory — the kind of place future founders come from

Company at a glance

Gobimaps provides geospatial mapping and location intelligence solutions that help enterprises visualize spatial data and derive actionable insights, enabling them to understand geographic patterns and inform decision-making.

IndustrySaaS
Team Size1-10
WorkspaceOn-site
StagePre-Seed
Founded2026
Location
San Francisco, CA, USA
LinkedInLinkedIn

Top Benefits

  • Generous Compensation and Meaningful Equity
  • In office Gym & Personal Training

Know someone who'd be great for this?