Senior Technical Program Manager, Data Operations, Nimble Brain

About the role

Nimble is an AI robotics company focused on building the autonomous supply chain to power fast, efficient, and economical commerce. We've raised over $220M at a $1B valuation and have formed a strategic alliance with FedEx to build a national network of autonomous warehouses. Our founding team includes experts from Stanford and Carnegie Mellon, and our board includes renowned figures in robotics and AI.

Join us if you are passionate about your craft, thrive in a high-intensity, fast-moving environment, and are committed to achieving legendary feats through innovative robotics.

Responsibilities

• Own end-to-end data operations for Nimble's Brain: intake, collection, labeling, quality auditing, and delivery of training and evaluation datasets.
• Design and run the operational processes and staffing plans (in-house and vendor/BPO) needed to label and QA data at scale, on schedule, and within budget.
• Define and track operational metrics — throughput, accuracy, turnaround time, cost per label — and build the dashboards and reporting cadence to keep the org aligned.
• Build feedback loops between data quality issues and upstream fixes, partnering with research and engineering to close the loop quickly.
• Cook up relationships and SLAs with external labeling/annotation vendors, including onboarding, training, and performance management.
• Identify and resolve bottlenecks in the data pipeline, escalating and driving cross-functional fixes where needed.
• Continuously improve tooling, documentation, and standard operating procedures for data operations as Nimble scales.

Qualifications

• 4+ years in data operations, labeling operations, business/technical operations, or a similar role managing high-volume operational pipelines.
• Track record building and running scalable operational processes, ideally involving data collection, annotation/labeling, or quality assurance.
• Comfortable managing vendor/BPO relationships and driving performance against SLAs.
• Strong metrics orientation — able to define KPIs, build reporting, and use data to drive operational decisions.
• Excellent cross-functional communication skills; able to align research, engineering, and operations stakeholders.
• Demonstrated ownership and comfort operating with ambiguity in a fast-paced, high-growth environment.

Preferred Qualifications

• Experience in AI/ML data pipelines, data labeling platforms, or model evaluation workflows.
• Background in robotics, autonomy, warehouse operations, or supply chain environments.
• Experience standing up or scaling a data operations function from an earlier stage.

Culture

We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble, and we're relentlessly resourceful in pursuit of our goals.

Benefits

• Unlimited Flexible Time Off

• Health Insurance

• Paid Parental Leave

• Commuter Benefits

• Referral Bonus

• 401k

• Equity

Pay Range

The pay range for this position at the start of employment is expected to be between $150,000 and $250,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.