Product Engineer

Reposted Yesterday
Hiring Remotely in Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
In-Office or Remote
Mid level
Artificial Intelligence • Software • App development
The Role
As a Product Engineer, you'll work on projects to improve engineering processes, create useful tools, and enhance team efficiency using AI and other technologies.
Summary Generated by Built In
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

Skills Required

  • Experience as a founder or seed-stage engineering hire
  • Strong product sense
  • Experience with LLMs and agentic workflows
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
29 Employees

What We Do

The AI-native developer intelligence platform that connects the dots between your data and the context you need to drive more impact.

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