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Span

Product Engineer

San Francisco, California, United States +1

Location
San Francisco, California, United States · Buenos Aires, Argentina
Work
Remote
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$100K – $200K a year
Posted
6 months ago

About the role

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

Source

Posted by Span on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 02:49 UTC; the original is the reference.

View the original ad ↗

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