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Fluency (usefluency.com)

Full Stack Engineer

Reposted 15 Days Ago
In-Office
San Francisco, CA, USA
150K-250K Annually
Mid level
In-Office
San Francisco, CA, USA
150K-250K Annually
Mid level
The role involves building software for autonomous enterprises, processing workflow data, designing data structures, and collaborating with founders and customers.
The summary above was generated by AI
Full-Stack Engineer
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 on

You’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 role

We’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

Strongly preferred
  • 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

How you’ll 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

Culture

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.

Location

This 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.

Compensation
  • US$150,000 to US$220,000 base salary, depending on experience

  • Meaningful equity in every offer

This role is probably not for you if
  • 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

Hiring process
  • 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.

HQ

Fluency (usefluency.com) San Francisco, California, USA Office

San Francisco, CA, United States

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