Full Job Description
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
Our customers are frontier robotics labs running large, multi-month data programs. You will be their single point of contact for delivery, and the person internally who keeps capture, QA, labeling, and engineering moving to one plan for each program. You will be accountable for every program landing on time, to spec, and with a customer who wants to buy more.
What you'll do
Program ownership
Own delivery for strategic customer programs end to end, from order to final batch, including targets, timelines, and risks.
Customer coordination
Run the weekly cadence with customer teams: delivery status, feedback, issue resolution, and upcoming orders.
Cross-functional delivery
Keep internal project teams aligned to one plan and clear blockers between them.
Scoping
Work with commercial and finance teams to scope new orders and expansions, grounded in what we can actually deliver.
Playbook
Build the delivery playbook (cadences, templates, escalation paths) so each new program starts faster than the last.
What you bring
• 5+ years in management consulting, project or program leadership, client services, or operations leadership.
• A record of owning complex, customer-facing programs to fixed deadlines.
• Structured thinking: you turn ambiguous asks into clear plans and give leadership a clear call on trade-offs.
• Comfortable with data: spreadsheets and basic queries to check delivery numbers yourself.
Even better if you have
• Experience with AI, robotics, or data-services customers.
• Experience scaling delivery through external vendors or partners.
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.