San Francisco, CA, full-time, in person
Fluency captures how work actually happens across an organisation. We process workflow data in real time, model relationships across teams and tools, and help enterprises understand how work moves, where it breaks, and what to change.
We’re hiring a full-stack engineer to help build that system.
This role is for someone who wants hard technical problems, close contact with customers, and a direct hand in shaping product and architecture. You’ll work within the engineering team on systems that ingest large volumes of workflow data, represent work in usable structures, and support analysis across complex enterprise environments.
What you’ll work onYou’ll build product and infrastructure across the stack. That includes:
Designing systems that process high-volume workflow data in real time
Building internal data models and primitives for representing work
Developing product features across backend, frontend, and data infrastructure
Writing and maintaining pipelines that handle billions of events per day
Exploring new technical approaches where there isn’t an established pattern to copy
Documenting decisions clearly, including technical notes and occasional whitepapers when needed
Some of the work is novel. A lot of it is practical. We care about people who can do both: invent where necessary, and ship what works.
About the roleWe’re looking for someone with:
Strong TypeScript skills, especially if you care about type safety
Experience with NestJS, React, Vite, and TanStack
Strong SQL skills
Experience with cloud infrastructure, AWS and GCP preferred
Experience with Docker and GitHub Actions
PostgreSQL experience
Experience working with LLM APIs across major providers
A computer science background, or equivalent evidence that you can operate at that level
Infrastructure as code experience, Terraform preferred
Experience working in a monorepo
Python for data pipelines, redaction, or image services
Swift or Rust experience for desktop agent work
You’ll be expected to stay close to business context, not just code. That can include:
Watching key customer calls
Speaking directly with customers
Contributing to product thinking
Making technical decisions with real operating context, not just abstract requirements
We care a lot about craft. We like people who are serious about building, comfortable with ambiguity, and willing to work through problems before there’s a clean template for solving them.
You should enjoy figuring things out, moving quickly, and working closely with other people. This is demanding work, and we prefer to do it with people who are good to work with.
LocationThis is a full-time, in-person role based in San Francisco, California.
We also offer E-3 visa sponsorship and a relocation stipend for Australian candidates.
CompensationUS$150,000 to US$220,000 base salary, depending on experience
Meaningful equity in every offer
You want a hybrid or remote role
You want a predictable 9 to 5 schedule
You prefer slow iteration cycles
You mainly want to work on standard CRUD products
You don’t build outside of work
You’re not interested in AI as part of the product and engineering stack
You’re not motivated by early-stage company building
Resume screen
1:1 founder conversation
Interview with the engineering team
Collaborative working session with the team
Offer
We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products.
Fluency (usefluency.com) San Francisco, California, USA Office
San Francisco, CA, United States
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