or apply directly on DoorDash USA's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 51 days DoorDash USA's roles stay open a median of 103 days
- Reposted
- No
- Salary listed
- No 0% of DoorDash USA's roles list one
- Ghost-job risk at DoorDash USA
- high 462 stale, 8 reposted of 462 open
- Hiring momentum
- 135 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-23
Measured from postings appearing on and disappearing from DoorDash USA's own greenhouse board since 2026-08-03. Full hiring picture for DoorDash USA.
About this role
As the Head of Safety for Robot Operations at DoorDash Labs, you will lead the safety vision for autonomous delivery operations, focusing on building a strong safety culture across various operational areas. Your responsibilities include defining safety strategies, conducting incident investigations, ensuring compliance through audits, and mentoring a safety organization to support rapid scaling. You will collaborate with multiple teams to identify risks and enhance safety measures in robot deployments.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DoorDash USA as an employer.
What you need
- 12+ years of experience leading safety programs within technology harnessed operations like logistics, robotics, automotive, autonomous systems, aviation, warehouse or other high-reliability environments.
- Proven experience building enterprise-scale safety management systems from the ground up.
- Strong understanding of operational risk management, hazard identification, incident investigation, and preventive controls.
- Experience leading safety audits, compliance reviews, and operational governance programs.
- Demonstrated ability to influence senior executives and cross-functional engineering and operations organizations.
- Strong analytical mindset with experience using data to identify trends, predict risk, and improve safety outcomes.
Nice to have
- Experience in autonomous vehicles, robotics, industrial automation, or advanced mobility.
- Professional certifications such as CSP, CIH, CHST, Six Sigma, or equivalent.
- Experience implementing ISO-based safety management systems (e.g., ISO 45001) or comparable operational excellence frameworks.
- Experience scaling safety programs across multiple sites or international operations.
- Familiarity with human factors engineering, safety-by-design principles, and high-reliability organization (HRO) practices.
What you get
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- wellness benefits
- commuter benefits match
- paid time off and paid sick leave
- medical, dental, and vision benefits
Worth weighing
- No specific salary figure mentioned, only a range based on various factors.
- The role involves leading safety in a rapidly evolving technology environment, which may include challenges related to ambiguity and fast-paced changes.
Summarised from DoorDash USA's posting. Read the full original.
Listed by DoorDash USA on their greenhouse job board, last confirmed open on 2026-09-23. PitchMeAI is not the employer.
More roles at DoorDash USA
- Account Manager, CPGNew York, NY; Los Angeles, CA; Atlanta, GA; Chicago, IL; San Francisco, CA
- Senior Associate, Merchant Strategy & OperationsNew York, NY; San Francisco, CA; Chicago, IL; Austin, TX; Denver, CO; Los Angeles, CA; Miami, FL; Seattle, WA
- Enterprise Security EngineerUnited States - Remote
- Principal Software Engineer, AdsNew York, NY; San Francisco, CA; Sunnyvale, CA
- Director, Enterprise Sales & Strategic PartnershipsNew York, NY; Los Angeles, CA; San Francisco, CA; United States - Remote
- Associate Manager, Retail PartnershipsSan Francisco, CA; New York, NY; Seattle, WA; Chicago, IL; Los Angeles, CA
- Senior Staff Machine Learning EngineerSan Francisco, CA; Sunnyvale, CA
- Machine Learning Engineer, Marketplace OptimizationSan Francisco, CA; Sunnyvale, CA