About Delivery Ops
Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.
About the role
Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program. You will build the systems that let a small team ship at that scale, so a delivery that takes a week today takes an afternoon.
What you'll do
Pool pulls
Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list.
Ship gates
Automate the checks every episode must pass before shipping (quality, privacy blur, bans, exclusivity, label integrity) and make failures easy to trace.
Packaging and transfer
Own export to customer formats and storage, with manifests, checksums, and re-delivery support.
Delivery ledger
Maintain the source of truth for what shipped to whom, and the dashboards and reports built on it.
Internal tools
Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily.
What you bring
• 3 to 6+ years building production data pipelines or backend systems.
• Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
• Experience moving large media files through cloud object storage reliably.
• Enough frontend skill to ship a usable internal tool without a designer.
Even better if you have
• Video processing experience (FFmpeg, frame extraction, codecs).
• Experience with robotics, computer vision, or ML training datasets.
If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.
