Sr. Data Operations Program Manager, Optimus

Tesla Motors
Palo Alto, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$108,000.0 - $162,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Validation DataOps Build Process

Job description

We are looking for a Sr Data Operations Program Manager to own data operations for Tesla’s Optimus program - the creation, scaling, and maintenance of the datasets that train our humanoid robot. You will stand up and run data collection programs, owning collection execution, site operations,logistics, and scale.

You will manage projects from start to finish, ensuring high quality,quantity,and diversity. Success means more usable data, faster, delivered from a growing network of locations without sacrificing quality or operational discipline. What You’ll Do

  • Own end-to-end data collection programs, from planning and site standup through daily operations and scaled output
  • Coordinating resources across Tesla work locations, resolving bottlenecks, and ensuring datasets meet AI requirements
  • Build and scale repeatable collection operations at locations nationwide, including staffing, schedules, space, equipment, on-site workflows, and multi-sitelogistics(kit deployment, inventory, shipping, and site readiness)
  • Create and run data validation checks to catch errors or inconsistencies; fix issues fast and build processes to prevent them from recurring
  • Optimizecollection for speed and scale without sacrificing quality, automate operational work, unblock sites, and drive process and tooling improvements that increase throughput and dataset diversity
  • Translate dashboards and metrics into clear stakeholder updates on progress, what’s working, and whatisn’t- then act on those insights
  • Work with engineers, data collection operators, site leads, and local teams to communicate and prioritize data needs
  • Travel to various locations to launch programs, audit operations, and transfer playbooks

Requirements

  • Experience standing up or scaling field, multi-site, or operational programs -logistics, site operations, or distributed collection is a strong plus
  • Ability to rally teams, manage chaos, and hit deadlines without burning out yourself or your teammates
  • Experience creating andmaintainingdashboards that provide stakeholders with important insights
  • Ability to thrive in high-pressure, fast-paced environments
  • Experience with robotics, autonomous systems, or sensor data a plus
  • Strong work ethic, attention to detail, and a drive toward action
  • Willingness to travelfrequentlyto Tesla work locations across the country

Benefits & conditions

paid holidays, flex time, 401(k), Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program

Expected Compensation $108,000 - $162,000/annual salary + cash and stock awards + benefits

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

7:25 min

Request data validation using Fluent JSON Schema

Matteo Collina Matteo Collina · JS Congress

2:59 min

Generating a Swagger JSON file during the build process

Roman Alexis Anastasini · World Congress 2021

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:44 min

Enforcing data validation with private constructors and operators

Georg Dresler Georg Dresler · World Congress 2023

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Optimizing container images using multi-step build processes

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