Founding Engineer — Data & AI

Sieora is a fast-growing AI outbound company. We run revenue operations for our clients, and we're building the data platform underneath it.

You'd be the first engineer, and you'd own it end-to-end.

THE WORK

• Pulling large volumes of historical data out of third-party SaaS APIs — full multi-year backfills rather than live streams. Pagination, rate limits, resumable jobs, partial failure.
• A Postgres model where time is first class: when something happened, and when we learned it, tracked separately.
• Language models over large volumes of unstructured text — structured extraction, confidence scoring, and keeping the cost sane at volume.
• Detection logic over the resulting dataset, and the reporting on top of it.
• Agents that act on the output, with human approval gates.

WHAT WE NEED

• Strong Python. Postgres you've designed rather than inherited — schemas, indexes, migrations.
• You've built an integration against somebody else's API with pagination, rate limits and a resume-after-failure path. Ideally a large historical backfill.
• You've shipped an LLM feature to production where the output was acted on, not just shown to a user — and you can talk about how you knew it was good enough.
• You've shipped something alone, including deploying and running it.

WHAT WOULD MAKE YOU UNUSUALLY GOOD AT THIS

• You've modelled time properly before — event sourcing, audit trails, temporal or bi-temporal data, slowly-changing dimensions.
• You've worked with CRM or marketing platform APIs.
• You're comfortable being the only engineer, and you'll tell a non-technical founder when he's asking for the wrong thing.

WHAT'S ALREADY RUNNING

Paying clients, real revenue, campaign automation, enrichment and the outbound engine. This is a product being built inside a business that works, not a pre-revenue idea.

STACK

Python, Postgres, Claude, third-party SaaS APIs, and some Next.js where a front end is needed.