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 searching for a Director, Product & Engineering Finance.

The Finance team is a fast-paced, high-impact team that engages closely with leadership and functional departments to optimize the deployment of capital, manage Aurora’s near and long range financial plans, and to set company and product-level goals. We partner with a diverse set of stakeholders to build our business and execute on our strategy. 

We’re looking for a highly-driven finance leader who thrives diving into the details and has experience partnering with software, hardware, manufacturing, and/or supply chain organizations, improving operational transparency, business decisions, and outcomes. Exceptional candidates will have deep industry and functional expertise with the ability to lead day-to-day operational execution while also driving stakeholders towards higher-level strategic outcomes.

In this role, you will

• Lead the team responsible for budgeting, forecasting, business planning, management reporting, and business analytics for the Software, Hardware, Supply Chain, and Manufacturing functions
• Quickly become a trusted Finance Business Partner to senior leadership teams for each of these departments, helping to enhance financial discipline and accountability
• Expertly manage complex financial data sets demonstrating strong executive presence, strategic thinking, and the ability to influence leadership decision making
• Partner with peers to design and drive strategic initiatives, such as multi-year autonomy hardware development and vehicle manufacturing operations, by working cross-functionally with stakeholders, providing rigorous analysis, and sound financial recommendations
• Work closely with functional and people business partners to develop proactive workforce planning and resource allocation strategies
• Develop financial models and conduct deep, data-driven analyses to frame and inform strategic objectives and track performance to expectations
• Improve the engineering teams’ ability to forecast capital requirements across multiple generations of product, identifying risk & opportunities to achieving targets
• Recommend strategies to optimize the deployment of capital and resources to efficiently meet or exceed targets

 Required Qualifications

• 15+ years of progressive work experience currently serving as the finance lead for a large, complex hardware or technology business with multi-year capital commitments
• Significant experience in deep tech, physical AI, manufacturing, hardware, automotive, aerospace, heavy industrial or other similar industries
• Deep understanding of Hardware and Software development cycles, including experience supporting engineering in the transition from R&D to commercial scale 
• Track record of building world-class finance teams and driving business and financial outcomes, as measured on margin improvement, working capital efficiency, forecast accuracy, and execution of cost-reduction initiatives
• Experience driving adoption of AI to enhance FP&A workstreams; understanding of the rapidly evolving landscape of tools and a passion for proactively incorporating AI to increase the pace and quality of execution 
• Strong written and verbal communication skills and proven ability to effectively communicate complex concepts to an executive audience in a succinct, clear manner
• Degree in Finance or related quantitative field such as Business, Economics, Math, or Statistics. Engineering degrees also considered
• Familiar with advanced Financial tools and systems (e.g. Pigment, NetSuite, Coupa, Plex, Oracle, SAP)

 Desirable Qualifications

• CPA (or international equivalent), CFA, or MBA preferred
• Expert-level GSuite skills, particularly Google Sheets, Google Docs and Google Slides
• Pigment, Netsuite and/or Coupa experience is a plus

The base salary range for this position is $189,000 - $274,500 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. 

#LI-JM3

#Director

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. 

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $163K-$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.

 #LI-SP1

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.

We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!

You'll be a product manager in our Learning Pillar and will be responsible for developing products that make learning a new language fun and effective, regardless of one's level. We've recently introduced a number of new ways to learn, including Stories, DuoRadio, Adventures, and Video Call, and are always looking for better ways to teach. You will partner with your cross-functional peers to build delightful learning experiences, shape our overall learning strategy, and impact the lives of tens of millions of learners.

🧠  You will...

• Be responsible for improving the learning experience through delightful and impactful products
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish the strategy for your focus area, and build alignment across product teams, cross-functional partners, and the leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills.

We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more!

You'll be a product manager in our Learning Pillar and will be responsible for developing products that make learning a new language fun and effective, regardless of one's level. We've recently introduced a number of new ways to learn, including Stories, DuoRadio, Adventures, and Video Call, and are always looking for better ways to teach. You will partner with your cross-functional peers to build delightful learning experiences, shape our overall learning strategy, and impact the lives of tens of millions of learners.

🧠  You will...

• Be responsible for improving the learning experience through delightful and impactful products
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish the strategy for your focus area, and build alignment across product teams, cross-functional partners, and the leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role

We’re looking for a Senior Community Manager who is equal parts strategist, builder, and hands-on operator. This is a unique opportunity to shape how millions of learners engage with Duolingo, not just today, but for years to come.

You will work hand-in-hand with the Head of Community to craft and build the community function from scratch. You’ll bring creative ideas, help define structure and best practices, and co-create a vision for what a high-impact, high-delight global community looks like at Duolingo.

At the same time, you will own and lead the day-to-day engagement across our community channels. You’ll be the front line of how we show up with learners, moderators, superfans, and ambassadors — cultivating joy, trust, safety, and belonging through every interaction.

You’ll partner closely with Product, Engineering, Marketing, Communications, and Customer Support to bring the community’s voice into the heart of the organization.

🧠  You will...

Own and lead day-to-day community operations

• Manage our core community channels (e.g., Reddit, Discord) and drive daily engagement, conversation quality, and member experience
• Build and maintain strong relationships with moderators, ambassadors, and superfans
• Develop scalable processes, playbooks, and frameworks that uphold safety, trust, delight, and Duolingo’s signature tone
• Monitor community health, sentiment, and emerging risks, identifying insights and opportunities for continuous improvement
• Launch initiatives that grow participation, sentiment, and long-term community value

Own and lead day-to-day community operations

• Manage our core community channels (e.g., Reddit, Discord) and drive daily engagement, conversation quality, and member experience
• Build and maintain strong relationships with moderators, ambassadors, and superfans
• Develop scalable processes, playbooks, and frameworks that uphold safety, trust, delight, and Duolingo’s signature tone
• Monitor community health, sentiment, and emerging risks, identifying insights and opportunities for continuous improvement
• Launch initiatives that grow participation, sentiment, and long-term community value

✅  You have...

• 8+ years of experience in community management for a consumer-facing brand, ideally at scale.
• Proven experience growing and engaging online communities across multiple platforms (Reddit, Slack, Discord, etc.).
• Strong instincts for tone, voice, and the dynamics of internet culture.
• Experience managing moderators, ambassadors, creators, or similar stakeholder groups.
• A data-driven approach to decision-making, with comfort in interpreting qualitative and quantitative signals.
• Excellent communication skills and the ability to collaborate cross-functionally.
• Experience navigating complex community conversations and stewarding online reputation.
• Active Duolingo user.

⭐  Exceptional candidates will have...

• Track record of building community programs of 1M+ members.
• Experience with shifting sentiment, scaling, and building advocates through community programs and tactics.
• Experience with international community management or scaling programs across cultures.
• Excels at both strategic planning and hands-on execution.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and even though we've made a lot of headway, we still have work to do — and that’s where you come in!

Our Product Managers (PMs) have ownership over product optimizations and features, from independently run experiments to major product decisions. Backed by strong analytical skills and business acumen, and inspired by access to senior leadership and transparency into how they make product decisions, our PMs develop insights that lead to new product ideas and Duolingo’s next beloved feature. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math, Music, and Chess skills.

As the Senior Product Manager for the Duolingo English Test, you'll drive product changes across the entire user experience: acquisition funnel, monetization, security, and test development. In addition to your product responsibilities, you'll partner with 90 cross-functional colleagues across engineering, AI research, design, marketing and more.

Together, you’ll make sure that students can gain access to educational opportunities by taking an English test from the comfort of their home. With over 6,000 partner institutions, we are disrupting the high-stakes language-assessment market. If you love making a difference in the world through technology, this is the place for you.

🧠  You will...

• Establish the strategy for how we scale the test to more users globally
• Be responsible for improving the test experience and work closely with UI/UX designers
• Collaborate with AI researchers to develop novel features to improve the test’s security and efficacy
• Perform qualitative and quantitative research to explore and validate feature ideas
• Work with engineers to help guide feature development
• Execute with urgency and excellence

✅  You have...

• A desire to make the world a better place through technology and education
• Experience generating outstanding results as a product manager
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• Top-tier design sense -- every pixel matters at Duolingo
• Demonstrated ability to be resourceful, curious, and innovative

⭐  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Professional experience in areas highly related to our work as product managers at Duolingo, such as software engineering, design, data analysis, or language learning

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

As a Technical Lead Manager at Motional, you'll lead a team responsible for the development and delivery of core trajectory planning algorithms via numerical optimization for autonomous vehicles. In this role, you will be at the forefront of shaping the motion planning and control systems that enable our fleet to navigate complex environments safely, efficiently, and comfortably. As a key leader, you will drive the development and continuous performance improvements of cutting-edge trajectory generation algorithms, collaborate with cross-functional teams (Planning, Perception, Prediction, Localization, ML Products, and Systems Engineering), and mentor a talented group of highly skilled engineers to deliver state-of-the-art solutions. 

If you are passionate about autonomous driving and being part of our commercial launch this year, thrive on solving challenging real-world problems, and eager to make a significant impact in a rapidly evolving field, we want to hear from you!

What you'll do:

• Lead and scale a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization.
• Drive commercial launch readiness for trajectory planning by delivering on-road driving behavior improvements (safety, comfort, and assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovation through state-of-the art methods.
• Apply a rigorous, metrics-driven framework to quantify and improve on-road performance. Champion leveraging existing training and evaluation pipelines to ensure scalable, production-ready delivery.
• Manage the computational efficiency and real-time performance of trajectory generation algorithms, ensuring latency budget compliance.
• Lead the rapid triage and root-cause analysis (RCA) of critical fleet incidents, translating real-world edge cases into immediate algorithmic refinements and validation sets.
• Oversee the successful execution of complex, multi-team initiatives, ensuring technical alignment from design through deployment while maintaining a rigorous standard for testing and validation to meet the high safety bars required for our commercial launch.
• Coordinate with peer leads to provide technical leadership, making consequential decisions on architectural direction, strategic investments, tactical execution, and technical debt reduction.Ensure technical excellence through rigorous design and code reviews while actively facilitating the professional growth and mentorship of your engineering team. Set and drive ambitious goals that challenge the team to deliver industry-leading trajectory planning solutions.
• Define and negotiate quarterly and annual technical roadmaps aligned with company-level autonomy milestones in coordinate with project managers and execute plans on schedule.
  
  

What we're looking for:

• Proven Engineering Leadership: 2+ years of experience managing high-performing development teams, with a demonstrable track record of inspiring, mentoring, and coaching engineers and driving measurable productivity gains.
• Ship-to-Production Mindset: Experience leading the delivery of production-quality algorithms in a high-stakes environment (Autonomous Vehicles, Robotics, or Aerospace). You know what it takes to move from a prototype to a commercially viable product.
• Strategic Vision: Ability to look beyond the immediate deliverables to define and defend a balanced technical roadmap that balances long-term architectural health with the urgent needs of a 2026 commercial launch.
• Technical Domain Expertise: Deep theoretical and practical expertise in numerical optimization and optimal control. You should be highly proficient in areas such as Model Predictive Control, nonlinear programming, and convex optimization applied to real-time trajectory generation.
• Advanced Motion Planning: Significant experience solving motion planning problems under uncertainty, including interaction-aware planning with dynamic agents and complex environmental constraints. Experience with Machine Learning based approaches is a significant plus.
• Full-Stack Robotics Context: Strong intuition for the entire robotics stack. You understand how upstream (Perception, Prediction) and downstream (Control, Actuation) systems impact trajectory feasibility and fleet safety.
• Production-Grade Software Development: Expertise in Modern C++ development within a Linux environment, with a focus on writing high-performance, real-time, and safety-critical code.
• Tooling Proficiency: Fluency in Python for rapid prototyping, data analysis, and visualization. Experience applying AI-augmented development workflows to large-scale Modern C++ codebases (e.g., agentic tools for multi-file refactoring, automated test generation, semantic code navigation, and code review acceleration) is strongly preferred. Experience with SQL or big-data frameworks for fleet-scale performance analysis is a significant plus.
• Influence & Clarity: Exceptional communication skills, with the ability to translate complex mathematical concepts into actionable plans for cross-functional stakeholders and executive leadership.
• Educational Foundation: Master’s or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related quantitative field.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

About the Role:

Triage is a critical operational process used in the development of autonomous vehicles to better understand system performance and identify suboptimal behavior. As a Triage Analyst, you will collaborate with Autonomy and Operations teams in reviewing events of interest, collected from real world driving as well as from simulation, and annotating them with contextual information guided by Stack’s Triage Policy & Guidelines. You will use data visualization tools to annotate events, and categorize them by issue type & priority, per our Triage Policy. Additionally you will assemble and present performance reports on our self-driving system, using Triage data. This role requires the ability to process detailed guideline documentation and utilize various review tools including video, textual, and numerical data to accurately categorize AV events. Experience with 2D/3D visualization tooling, as well as GSuite (Sheets, Docs, Slides) or equivalent is beneficial.

Responsibilities:

• Collaborate with Autonomy and Operations teams to review and annotate events of interest from real-world driving and simulation.
• Annotate events with contextual information, adhering to Stack's Triage Policy & Guidelines.
• Utilize data visualization tools to categorize events by issue type and priority.
• Process detailed guideline documentation and use various review tools (video, textual, numerical data) to accurately categorize AV events.
• Assemble and present performance reports on the self-driving system using Triage data.

Qualifications:

• Strong analytical skills including the ability to understand extensive operational guidelines and apply them to an operational workflow.
• Demonstrated experience working effectively within a team environment in an operational capacity.
• Experience working with data to generate quantitative and qualitative reporting.
• Strong communication skills and the ability to convey complex information in a succinct and effective manner.
• Significant experience working with GSuite type products (Sheets, Docs, Slides).
• Experience as a Triage or Annotation / Labeling Analyst for an AV or Robotics company is preferred.
  

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

Duolingo reaches hundreds of millions of learners worldwide, and the Efficacy Research Lab exists to answer a fundamental question: Does that learning actually last? This is one of the most important research programs in consumer education, with a scale, dataset, and real-world impact that few academic or industry environments can match.

We’re looking for an exceptional research leader to guide the Lab through its next chapter, expanding its scope from Language into Math and future subjects. In this role, you will set the strategic vision for efficacy research at Duolingo, manage and develop a small team of researchers, and partner closely with senior leaders across the company. This is a hands-on leadership role: you’ll shape the agenda, lead high-impact work, and remain deeply involved in the science.

This role is based in Pittsburgh or New York.

🧠  You will...

• Set the vision and strategic direction for Duolingo’s Efficacy Research Lab, with language learning as the primary focus and a growing mandate across Math and future subject areas.
• Lead the design and execution of rigorous efficacy research, from framing the right questions through study design, data collection, analysis, interpretation, and communication of results.
• Serve as a player-coach to a team of 3 researchers: setting priorities, providing scientific guidance, and contributing directly to the work where your expertise has the greatest leverage.
• Partner with Product, Learning Design, and company leadership to ensure efficacy research meaningfully informs product strategy and improves learner outcomes.
• In collaboration with Marketing and Communications, shape how Duolingo communicates learning outcomes externally, translating rigorous research into clear, credible narratives for learners, parents, educators, partners, and the press.
• Build and manage external research partnerships, from identifying collaborators and shaping proposals to overseeing execution and final deliverables.
• Represent Duolingo externally as a thought leader in learning science and efficacy research.

✅  You have...

• Research leadership and scientific credibility. PhD in education, learning sciences, cognitive science, educational psychology, psychometrics, or a related field, plus 12+ years of relevant experience. You have led ambitious research programs evaluating the effectiveness of educational products or interventions and have a strong record of peer-reviewed publications and/or other influential research outputs.
• Expertise in rigorous applied research. You can define a research agenda, design and evaluate studies using methods such as randomized controlled trials, quasi-experimental designs, and large-scale observational analyses, and deliver findings that drive consequential decisions.
• Industry judgment and pragmatism. You know how to apply high scientific standards in a product environment. You understand the tradeoffs between ideal and feasible research designs and can deliver credible, decision-useful insights on business and product timelines. Meaningful industry experience is required.
  Deep understanding of learning. You have deep expertise in how people learn and can connect measured outcomes to the mechanisms that drive them, making you a trusted partner to product and learning teams.
• Exceptional communication and influence. You communicate clearly and persuasively across audiences, from researchers and executives to external stakeholders, and can translate complex findings into actionable recommendations and compelling public narratives.
• Advanced quantitative and technical skills. You bring deep expertise in statistics and quantitative methods, are fluent in R or Python, and are comfortable working with SQL and large-scale datasets.
• People leadership. You have experience managing and developing researchers, setting a high bar for quality, and helping a small team do its best work.
• Operational strength. You are highly organized and able to lead multiple research initiatives simultaneously across internal and external stakeholders.

⭐  Exceptional candidates will have...

• Experience leading efficacy research across multiple subject areas, such as language, math, or science.
• Experience in EdTech and/or consumer technology.
• Experience working with large-scale behavioral data in a product or consumer technology environment.
• Experience serving as an external representative for a research organization, including with press, partners, or academic audiences.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

With our learning app, we have developed a successful business by making learning fun. As our reach grows, we aim to teach even better and set the standard for language proficiency with the Duolingo Score. We are hiring a Senior Product Manager to lead the Duolingo Score team, define the vision, and drive product development to establish a globally recognized scoring system. Read our blog to learn more.

  You will...

• Work with executive leadership to drive product strategy for the Duolingo Score team
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure a fun and delightful user experience in our product
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Define your key performance indicator(s) that drive user growth, and achieve them!

  You have...

• Experience generating outstanding results as a Product Manager at a software company
• A desire to make the world a better place through technology and education
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• An instinct for creating simple and intuitive user experiences
• Demonstrated ability to be resourceful, curious, and innovative
• Experience leading projects and teams
• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Extensive experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app-based

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

With our learning app, we have developed a successful business by making learning fun. As our reach grows, we aim to teach even better and set the standard for language proficiency with the Duolingo Score. We are hiring a Senior Product Manager to lead the Duolingo Score team, define the vision, and drive product development to establish a globally recognized scoring system. Read our blog to learn more.

  You will...

• Work with executive leadership to drive product strategy for the Duolingo Score team
• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure a fun and delightful user experience in our product
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Define your key performance indicator(s) that drive user growth, and achieve them!

  You have...

• Experience generating outstanding results as a Product Manager at a software company
• A desire to make the world a better place through technology and education
• Ability to utilize user insights, data, and statistical analyses to inform decisions
• An instinct for creating simple and intuitive user experiences
• Demonstrated ability to be resourceful, curious, and innovative
• Experience leading projects and teams
• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

  Exceptional candidates will have...

• Advanced degree in Business, Computer Science, Design, Psychology, or equivalent
• Extensive experience in fast-growing, consumer-facing, data-driven startups, ideally mobile app-based

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

Duolingo reaches hundreds of millions of learners worldwide, and the Efficacy Research Lab exists to answer a fundamental question: Does that learning actually last? This is one of the most important research programs in consumer education, with a scale, dataset, and real-world impact that few academic or industry environments can match.

We’re looking for an exceptional research leader to guide the Lab through its next chapter, expanding its scope from Language into Math and future subjects. In this role, you will set the strategic vision for efficacy research at Duolingo, manage and develop a small team of researchers, and partner closely with senior leaders across the company. This is a hands-on leadership role: you’ll shape the agenda, lead high-impact work, and remain deeply involved in the science.

This role is based in Pittsburgh or New York.

🧠  You will...

• Set the vision and strategic direction for Duolingo’s Efficacy Research Lab, with language learning as the primary focus and a growing mandate across Math and future subject areas.
• Lead the design and execution of rigorous efficacy research, from framing the right questions through study design, data collection, analysis, interpretation, and communication of results.
• Serve as a player-coach to a team of 3 researchers: setting priorities, providing scientific guidance, and contributing directly to the work where your expertise has the greatest leverage.
• Partner with Product, Learning Design, and company leadership to ensure efficacy research meaningfully informs product strategy and improves learner outcomes.
• In collaboration with Marketing and Communications, shape how Duolingo communicates learning outcomes externally, translating rigorous research into clear, credible narratives for learners, parents, educators, partners, and the press.
• Build and manage external research partnerships, from identifying collaborators and shaping proposals to overseeing execution and final deliverables.
• Represent Duolingo externally as a thought leader in learning science and efficacy research.

✅  You have...

• Research leadership and scientific credibility. PhD in education, learning sciences, cognitive science, educational psychology, psychometrics, or a related field, plus 12+ years of relevant experience. You have led ambitious research programs evaluating the effectiveness of educational products or interventions and have a strong record of peer-reviewed publications and/or other influential research outputs.
• Expertise in rigorous applied research. You can define a research agenda, design and evaluate studies using methods such as randomized controlled trials, quasi-experimental designs, and large-scale observational analyses, and deliver findings that drive consequential decisions.
• Industry judgment and pragmatism. You know how to apply high scientific standards in a product environment. You understand the tradeoffs between ideal and feasible research designs and can deliver credible, decision-useful insights on business and product timelines. Meaningful industry experience is required.
  Deep understanding of learning. You have deep expertise in how people learn and can connect measured outcomes to the mechanisms that drive them, making you a trusted partner to product and learning teams.
• Exceptional communication and influence. You communicate clearly and persuasively across audiences, from researchers and executives to external stakeholders, and can translate complex findings into actionable recommendations and compelling public narratives.
• Advanced quantitative and technical skills. You bring deep expertise in statistics and quantitative methods, are fluent in R or Python, and are comfortable working with SQL and large-scale datasets.
• People leadership. You have experience managing and developing researchers, setting a high bar for quality, and helping a small team do its best work.
• Operational strength. You are highly organized and able to lead multiple research initiatives simultaneously across internal and external stakeholders.

⭐  Exceptional candidates will have...

• Experience leading efficacy research across multiple subject areas, such as language, math, or science.
• Experience in EdTech and/or consumer technology.
• Experience working with large-scale behavioral data in a product or consumer technology environment.
• Experience serving as an external representative for a research organization, including with press, partners, or academic audiences.

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product.

In This Role, You Will:

• Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information).
• Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums.
• Design and automate data collection and analysis to support ongoing safety programs.
• Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making.
• Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems.
• Model self-driving vehicle behaviors at the system and subsystem levels.
• Develop and maintain reports and expressions of baseline risk coverage and application in operations.
• Design and develop expressions of risk benchmarking from similar industries.
• Create dashboards and reports for communicating risk, ranking, and anomalies.
• Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems.
• Mentor and lead junior team members, fostering their professional growth.

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• 7+ years of progressive experience solving large-scale complex problems.
• Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices).
• Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment.
• Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis.
• Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI).
• Adept at querying, analyzing, and visualizing large datasets.
• Excellent communication and presentation skills, with the ability to convey complex information to various audiences.
• Strong leadership skills, with the ability to provide guidance and mentorship.
• Ability to work independently, as part of a cross-functional team, or as a project lead.

Desirable Qualifications

• Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience.
• Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations.
• Familiarity with rapidly scaling operational environments.
• Proficient in working with advanced data transformation tools such as DBT.
• Skilled in building and deploying using Amazon Web Services (AWS) tools.
• Background in the Autonomous Vehicles, Aerospace, or Robotics domains.

The base salary range for this position is $171,000 - $247,000 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.

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Product at Gather AI sits at the center of everything — connecting customer insights, engineering execution, and go-to-market strategy into a coherent roadmap. It’s a small, high-ownership team embedded directly with engineering and design, working on products that have immediate, measurable impact in real warehouse environments. You’ll work closely with customers, field teams, and engineering to shape what we build and how we build it.

About the Role

We are looking for a Senior Product Manager to own end-to-end product delivery for one or more core areas of the Gather AI platform. Your initial focus will be our internal tools platform — leading the buildout and scaling of our deployment tooling — with scope expanding over time as the team and product grow.

This is a high-autonomy IC role for a PM who thrives in ambiguity, goes deep on customer problems, and has the technical fluency to partner effectively with robotics and software engineering teams. You will own the strategy, roadmap, and delivery outcomes for your product area from discovery through launch and iteration.

What You’ll Do

• Own the strategy, roadmap, and delivery outcomes for one or more product areas — defining goals, success metrics, and priorities aligned to company objectives
• Lead structured customer discovery with warehouse and logistics operators, synthesizing qualitative and quantitative research into detailed requirements and specs
• Partner day-to-day with engineering squads and UX designers through planning, refinement, and retrospectives — unblocking the team and maintaining delivery momentum
• Define success metrics for your product area, instrument new features, run experiments, and share clear read-outs with stakeholders
• Partner with Sales, Marketing, and Customer Success to plan and execute product launches, including enablement materials and positioning briefs
• Communicate roadmap status, priorities, and trade-offs proactively to cross-functional partners, building alignment around a shared plan

What You’ll Need

• 5+ years of product management experience with a track record of independently owning and shipping software products in fast-paced startup or scale-up environments
• Proven end-to-end ownership — from discovery and spec writing through backlog management, launch coordination, and outcome measurement
• Strong written and verbal communication skills with the ability to align both technical and non-technical stakeholders around a clear direction
• Technical fluency sufficient to engage deeply with engineers on constraints, architecture decisions, and API-level product details
• Hands-on familiarity with modern product tools (Jira, Figma) and agile delivery practices; comfortable operating without heavy process support
• Bachelor’s degree required; background in robotics, logistics, warehouse automation, or enterprise SaaS strongly preferred

Nice to Have

• Direct experience in warehouse, logistics, or supply chain software
• Experience working with or alongside hardware or robotics engineering teams
• Familiarity with deployment tooling, internal platforms, or operations-facing software
• Prior experience as a first or early PM at a scaling company

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 are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.

In this role, you will

• Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety.
• Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases.
• Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss.
• Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. 
• Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it.

Required Qualifications

• MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
• 8 + years of experience developing state-of-the-art ML models, either in a research or production setting.
• Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents.
• Experience training large models on massive datasets using distributed computing.
• Fluency in Python, with a focus on writing high-performance, maintainable code.
• Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models.

Desirable Qualifications

• A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI).
• Experience deploying complex ML systems in production environments.
• Experience in developing generative models or neural simulators for synthetic data generation.
• Experience leading small or large teams to execute highly technical projects.

The base salary range for this position is $171K - $247K 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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#Mid-Senior