• Partner closely with Map Engineering and Ops leads to plan product alignment, operational readiness, and continuous improvement across internal systems and tools
• Build technical understanding at the architectural level and be able to collaborate on technical alternatives when necessary; advocate for solutions that balance engineering effort with impactful operational performance gains
• Translate operational inefficiencies into prioritized product requirements that include defining MVP capabilities, user acceptance testing, and Ops implementation plans
• Apply analytical frameworks to conduct user research and product analysis to synthesize clear, measurable improvement opportunities and prioritize with engineering leaders
• Influence senior stakeholders with data-driven narratives to inform product and operational decisions
• Develop detailed project plans and experiments with clear objective, structure, and analytical rigor
• Track progress, resolve dependencies, evaluate risks and communicate status to upper management and project stakeholders
• Manage complex, cross-functional projects at a large scale, instilling an efficient project management mindset and workflow across the teams
• 8+ years of related work experience, particularly in Product Management, Product Operations, or Technical Program Management
• Direct, measurable impact through the design, development and launch of groundbreaking products or delivery of significant and novel technology programs
• High technical aptitude with an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely with engineers
• Strong experience in project management, practical familiarity with both Agile and Waterfall methodologies and ability to apply them where best suited
• Strong written and verbal communication skills with the ability to adjust communication based on audience
• Strong problem-solver with ability to organize ambiguity into clear, actionable plans, passion for shipping new to market products and the ability to dynamically adapt
• Data fluency and experience with visualization tools using SQL and Python, turning data into actionable business insights
• Experience with HD maps, geospatial systems, robotics, autonomy, and simulation environments
• Experience supporting Machine Learning or data labeling pipelines
• Experience using jira to build structures and frameworks to manage deliverables
The base salary range for this position is $163-$236K 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. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
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