Manager, Map Production
Aurora InnovationPittsburgh, Pennsylvania$115k – $165kPosted 27 March 2026
Job Description
Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn .
Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re looking for an experienced Manager, Map Production to lead a critical function within our Mapping Operations team. This role will manage a team of subject matter experts responsible for high quality map annotations, policy enforcement, and escalation resolutions in addition to driving performance and efficiency across a large, international vendor workforce.
The ideal candidate brings strong operational leadership, process optimization, and performance management experience. You will be responsible for building scalable workflows, establishing clear documentation and standards, and using data to continuously improve production performance.
In this role, you will
Lead and develop a team of 8-10 highly trained Operators through coaching, regular performance feedback, and career development support
Foster a culture of accountability, operational excellence, and continuous improvement
Own performance of a large, globally distributed workforce through data-driven management systems and clear, standardized operating procedures
Ensure production targets for throughput, quality, and productivity are defined and consistently met
Monitor operational metrics and proactively address performance regressions
Identify opportunities to improve operational efficiency, scalability, and consistency across multiple mapping workflows
Design and implement standardized processes that enable Operators to consistently produce high-quality annotations at scale
Partner with Training, Product Operations, and Engineering to translate domain knowledge into scalable training and documentation
Partner with Data Analytics to identify trends and drive targeted improvements with measurable results
Advocate for user experience and pain points with Product Operations and Engineering to help identify tooling opportunities to improve performance metrics
Support launch and scaling of new annotation initiatives and mapping programs
Required Qualifications
7-10 years of experience in Operations or Operational Strategy roles
5+ years of experience managing people and developing high-performing teams
Strong experience with process optimization, standardization, and operational scaling
Experience managing large operational programs with distributed teams
Strong analytics skills and experience using data to drive performance improvements
Experience developing clear operational documentation and workflows
Experience working closely with Product Operations, Training, Data Analytics, and Engineering to improve operational workflows and tools
Desirable Qualifications
Experience in mapping, geospatial, AI data annotation, or autonomous vehicle operations
Experience managing international or vendor-based workforces
Familiarity with operational dashboards and analytics tools (e.g. SQL, Mode, Looker, Tableau, etc.)
Experience launching or scaling large operational programs
The base salary range for this position is $115K - $165K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. Th ... (truncated, view full listing at source)
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