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← Zipline

Manager Data Operations & Annotations, Autonomy Data

Zipline
Location
Detroit, Michigan, USA; Remote in USA
Posted
19 days ago
Department
Flight SW
Salary
$150,000 - $180,000
What they actually want (must-haves)
  • 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 the job really is

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
  • Starting cash range of $150,000 - $180,000.
  • Equity compensation.
  • Overtime pay.
  • Discretionary annual or performance bonuses.
  • Sales incentives.
  • Medical, dental and vision insurance.
Things to weigh
  • 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.
Job score4.2/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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