Product Engineer

Span; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Span is seeking a high-initiative individual in San Francisco to help shape AI-driven tooling for engineering teams. You will drive product strategy around AI workflows, identify core KTLO problems, and build practical software catalogs that teams actually use.

The role emphasizes hands-on product leadership, a track record of launching projects, and experience with LLMs, agentic systems, and scalable stacks. Join a Series A team that ships meaningful features fast.

Qualifications

• Experience working with LLMs and agentic workflows.
• Have been a founder, seed-stage engineering hire, or launched your own project before.
• You have strong product sense and can prove it.

Responsibilities

• In this role you’ll help root cause KTLO work and recommend solutions.
• Develop a software catalog that scales for monoliths and is actually used.
• Help protect engineering focus time by solving distractions or mental load with AI.

Skills

LLMs

Product sense

Founder/seed-stage

Agency mindset

Job description

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