Founding Engineer: Consumer Mobile (React Native)
Role summary by JobGrid
Founding Engineer: Consumer Mobile (React Native) at clera: San Francisco, United States; On-site; Lead; IT; Full Stack Engineer. This listing is part of JobGrid's Software engineer jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: San Francisco, United States, On-site
- Role classification: IT, Full Stack Engineer, Lead
- Source freshness: checked by JobGrid on 2026-06-09.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About the Role
You'll operate as a founding engineer, owning problems end-to-end. This is an in-person role in San Francisco working on an AI-powered map and messaging product that helps people discover places and events, and connect with friends.
The company has built one of the largest structured indices of places and events in the real world, and is now building a social product experience around that index.
What You'll Do
Design and ship product and systems from zero to production
Work directly with founders on product and architecture decisions
Make decisions that shape core systems, not just contribute to them
Move across the stack as needed — frontend, backend, infrastructure, and AI
Example problems you might work on:
Ranking recommendations using embeddings, structured data, and social signals
Optimizing search and vector operations to sub-100ms latency across large datasets
Building real-time systems for chat, presence, and location features
Designing map display algorithms that determine what deserves attention
Building AI agent pipelines that plan queries and synthesize informed answers
Structuring unstructured web data to power novel experiences
Areas of Focus:
Application Engineers (Full-stack): Build fast, expressive interfaces across mobile and web. Work on rendering performance and interaction design. Own features end-to-end from UI to backend. Typical tools: TypeScript, React, React Native, iOS/Android, backend systems in TypeScript.
Data / AI Engineers: Build the intelligence layer behind the product. 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 and recommendation systems.
What We're Looking For
We optimize for slope, not resumes.
Strong signals:
You've built something technically ambitious end-to-end
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 or advanced mathematics background
Early engineers at high-bar companies
Strong open source contributions
None of this is required — these are just correlated signals.
This is not:
A role maintaining legacy systems
A role with tightly scoped tickets
A role where product is decided for you
If you thrive best with clear boundaries and predictable work, this won't be a fit.
Compensation & Details
In-person role in San Francisco.