Six Figure Work

Manager, Robotics Data Collection Ops, Frontier AI & Robotics (FAR)

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $148,600  to $222,000

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (5 h ago) · observed since

About this job

Are you interested in solving the most critical operations problem behind cutting-edge robotics development? Interested in a fast dynamic environment? Amazon's Frontier AI & Robotics (FAR) team is building advanced robotic systems through frontier foundation models, and high-quality data collection is a core input to that research. Come lead the data operations team that produces the ground-truth data our models learn from.

We are looking for a Manager of Robotics Data to manage the shift of our data collection operation in San Francisco. You will manage a 20–30-person team of data collectors, own delivery and process for the shift, and ensure quality and throughput targets are met. You will be responsible for identifying the key initiatives to increase capacity and efficiency of the team, and partner with engineering, DC tech leads and researchers closely to deliver.

Key job responsibilities

  • Set the team's priorities for the Data Ops team. Own the team's throughput, quality, and safety metrics. Work with the team to deep-dive technical and operational issues that impact data productivity. Build mechanisms for taking corrective actions.
  • Partner with 3P to mentor and coach data collectors. Own data delivery, key initiatives, and process improvement.
  • Serve as an essential point of contact for the Data Flywheel team. Interact with researchers, software and hardware engineers, and the Ops team on prioritization and project execution.
  • Manage daily floor operations: staffing, work allocation, and escalation of issues on robotics. Create reports and track project/process metrics.
  • Capacity planning and build capacity: Forecast the demand of the data based on research plan, plan for the ops capacity, and identify bottleneck
  • Identify repetitive problems from data operations and initiate new technical and operational programs to de-bottleneck the issues systematically.
  • Drive process optimization and improvement projects in quality and productivity across the data collection workflow. Partner with cross-functional teams and DC Tech Leads to improve tooling and processes.
  • Partner with vendors on managing the 3P team. Review vendor performance at regular cadence and ensure productivity and quality deliverables are met.
  • Manage expectations of multiple stakeholders across teams within the program. Present team metrics and write-ups in business review meetings.
  • Support hiring, onboarding, and training of new team members, including conversion of high-performing contractors to full-time roles.

Basic Qualifications

  • 2+ years of people management and team development experience
  • Experience with continuous improvement processes
  • 5+ years of operations experience
  • Familiarity with standard desktop tools (Word, Excel) and the ability to create reports and track metrics
  • Strong technical and non-technical program management
  • Strong entrepreneur ownership, willingness to meet daily deadlines in an ever changing and fast-paced environment

Preferred Qualifications

  • Experience with strong project management skills and the ability to thrive in a fast-paced environment
  • A bachelor's degree in any field (STEM preferred but not required)
  • Experience managing robotics, data, or ML data operations teams
  • Excellent verbal and written communication; strong attention to detail and organizational skills
  • Strong people-management skills and the ability to lead by example and adapt to dynamic requirements

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 148,600.00 - 222,000.00 USD annually

Source: Amazon · View original posting (opens in new tab)

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Manager, Robotics Data Collection Ops, Frontier AI & Robotics (FAR) (this listing)$148,600 - $222,000
Manager, Robotics Data Collection Ops, Frontier AI & Robotics (FAR)$148,600 - $222,000
Sr. Business Operations, Executive Compensation$148,600 - $201,000
Sr Technical Program Manager, Amazon Robotics$148,700 - $201,200
Sr. Technical Program Manager, Platform Engineering & Services$148,700 - $201,200
Senior Technical Program Manager, Amazon Connect$148,700 - $201,200
Sr. Technical Program Manager, Continuous Infrastructure Automation$148,700 - $201,200

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-29
Where this pay comes from

Location as the employer wrote it: US, CA, San Francisco

USA, CA, San Francisco - 148,600.00 - 222,000.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.