Span
via Ashby
Product Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 144d ago
The date the source published, not the day we noticed it (2026-04-23). Last seen at its source 3h ago.
Is it remote?
Remote (USA)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States, Argentina
The description states no restriction of its own. This is the source's own tag.
Pay
$100k–200k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 18d ago · last seen 3h ago
The listing
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