Product Engineer
At a glance
Mid-level Software Engineering role at Span. Remote, United States · full-time · $100,000–$200,000 base.
remoteroles summary, based on the employer's posting.
What you'll do
- Build a tool that identifies root causes of KTLO work and suggests ways to address them
- Create a software catalog suited to monoliths that engineers will want to use
- Use AI to reduce distractions and mental load so engineers can protect focused work time
What you bring
- You have strong product judgment and can show how you have applied it
- You have worked with LLMs and agent-based workflows
- You have founded a company, joined an early engineering team, or launched a project of your own
Who this fits
This mid-level product engineering role suits a resourceful builder who takes initiative and enjoys shaping product direction. The role is remote, with San Francisco listed as its location.
From the employer
About Span
Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their day-to-day will pull ahead. We're the AI-native developer intelligence platform built for that moment. We're looking for people who want to shape how the next generation of high-performing engineering orgs operate.
We're a Series A company with a small, focused team that moves fast and ships things that matter. We’re proud to be helping forward-thinking orgs like Ramp, Carvana, Intercom, and OpenTable. We're honored to be backed by dozens of founders, CTOs, and CPOs we admire from Slack, Notion, Rippling, Fivetran, Coda, Adobe, and Square, as well as funds including Alt Capital, BoxGroup, Bling, Craft, and SV Angel.
In this role you’ll:
We’re looking for someone who can help with these types of example projects:
A product that root causes KTLO work and recommends solutions.
A software catalog that works for monoliths and that people actually want to use.
Help protect engineering focus time by systemically solving sources of distraction or mental load with AI.
What we're looking for:
Resourceful individuals who thrive in a high agency environment.
Have been a founder, seed-stage engineering hire, or have launched your own project before.
You have strong product sense and can prove it.
Have experience working with LLMs and agentic workflows.
About our Stack:
TypeScript, NestJS, React, Postgres, Redis
Airbyte, Dagster, Python, Kafka
AWS, K8S, FluxCD