Product Engineer
At a glance
Mid-level Software Engineering role at Span. Remote, United States · full-time · $100,000–$200,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build products that identify root causes of keep-the-lights-on work and suggest ways to address them
- Create a software catalog that supports monoliths and is useful to the people relying on it
- Use AI to reduce engineering distractions and mental load, helping teams protect time for focused work
What you bring
- You have helped start a company, joined an engineering team at seed stage, or launched a project of your own
- You can show strong product judgment through work you have done
- You have worked with large language models and agent-based workflows
Who this fits
This mid-level product engineering role suits someone who takes initiative and can work independently in a high-agency setting. It is remote and based in San Francisco.
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