Manager Data Operations & Annotations, Autonomy Data
Zipline · Detroit, Michigan, USA; Remote in USA
Posted 15 days ago · $150,000 - $180,000
or apply directly on Zipline 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Zipline 's roles stay open a median of 42 days
- Reposted
- No
- Salary listed
- Yes 51% of Zipline 's roles list one
- Ghost-job risk at Zipline
- low 0 stale, 6 reposted of 342 open
- Hiring momentum
- 454 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Zipline 's own greenhouse board since 2026-08-03. Full hiring picture for Zipline .
About this role
In this role, you will lead a team focused on transforming real-world data into high-quality datasets for machine learning and autonomy at Zipline. Your responsibilities will include overseeing data collection, annotation, and validation processes, while collaborating with technical teams to align data operations with the needs of the autonomy stack. You will also be tasked with improving workflows and fostering a culture of accountability and continuous improvement within the organization.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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 Zipline as an employer.
What you need
- Experience leading and scaling operational or technical teams, including developing managers.
- Experience owning technically complex operational systems and improving their performance at scale.
- Strong systems thinking and technical judgment across people, process, hardware, software, and infrastructure.
- Experience leading ambiguous, cross-functional work from problem definition through sustained operation.
- Strong judgment in balancing quality, throughput, cost, and reliability.
- A track record of using metrics, tooling, and automation to drive measurable operational improvements.
Nice to have
- Experience designing or operating large-scale data labeling or annotation programs.
- Experience managing external vendors or distributed workforces supporting data operations.
- Experience with machine learning, autonomy, robotics, aerospace, or other sensor-rich physical systems.
- Familiarity with the ML data lifecycle, including data collection, sampling, annotation, validation, dataset generation, and model feedback loops.
- Experience translating model performance gaps into targeted real-world data collection.
What you get
- Starting cash range of $150,000 - $180,000.
- Equity compensation.
- Overtime pay.
- Discretionary annual or performance bonuses.
- Sales incentives.
- Medical, dental and vision insurance.
Worth weighing
- No specific details on the technology stack or tools used in data operations are provided.
- The role involves significant cross-functional collaboration, which may require strong interpersonal skills.
- The final compensation is dependent on various factors, which may lead to variability in pay.
- The job description emphasizes a fast-paced environment, which may not suit everyone.
Summarised from Zipline 's posting. Read the full original.
Listed by Zipline on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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