Robotics AI Strategy & Program Lead, Early Career

GM • Warren, MI

5d • Onsite

About The Position

General Motors is seeking a Robotics AI Strategy & Program Lead to drive cross-functional initiatives spanning AI research, robotics engineering, data infrastructure, and manufacturing operations. The role combines strategy, program management, analytics, and hands-on work with AI tools. The lead will frame problems, build dashboards, analyze data, develop or orchestrate AI agents, and guide programs through organizational complexity. They will work closely with AI researchers, roboticists, AI and data engineers, AI product managers, manufacturing teams, and external partners, translating between technical and non-technical stakeholders and ensuring initiatives are strategic, measurable, and ready to deploy.

The role owns projects from strategy and problem framing through execution, measurement, and iteration; manages roadmaps, milestones, dependencies, risks, operating rhythms, and blockers; and supports multiple initiatives ranging from rapid experiments to long-term programs. It also partners with leadership on Robotics AI strategy, develops executive presentations and decision documents, and translates technical options into clear trade-offs tied to business outcomes and manufacturing KPIs.

The position involves defining data and telemetry needs, analyzing data with SQL and Python or R, creating dashboards, partnering with data and platform teams, and designing GenAI-powered workflows and agents. The lead helps align data collection, labeling, evaluation, and deployment with program goals, collaborates with AI product managers and external vendors, and promotes effective tools and practices across the organization. This is a high-visibility role within GM’s AI Product Management and Strategy organization, with regular senior-leadership and external-partner exposure. It is on-site five days per week, primarily in Warren, Michigan.

Requirements

• MBA with previous engineering or technical experience, or a master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related technical field.
• 2–4 years of experience in management consulting or corporate strategy, product management or technical program management, or data science or data analytics.
• Meaningful experience in AI, machine learning, or robotics, ideally at the intersection of AI and robotics.
• Demonstrated ability to lead large, complex cross-functional programs with high ambiguity and multiple parallel workstreams.
• Strong strategic thinking and storytelling skills, including framing problems, structuring options, and communicating to technical and non-technical audiences.
• Ability to write SQL and use Python or R for analysis.
• Experience building dashboards using tools such as Looker or Power BI.
• Experience working in Databricks and similar data platforms.
• Fluency with GenAI tools, such as prompt engineering and using copilots or assistants in daily workflows, and a track record of designing or orchestrating AI-assisted workflows or agents.
• Experience with collaboration and delivery tools such as Jira and low- or no-code application platforms such as Power Apps or AppSheet.
• Ability to communicate technical details to AI researchers and roboticists and present synthesized insights to senior non-technical executives.
• Proven cross-functional collaboration and influence skills, and a record of creating clarity and momentum.
• Experience working directly with technical teams, including AI researchers, AI engineers, roboticists, or data engineers, with sufficient understanding to track progress, surface risks, and offer hands-on support.
• Strategic, hands-on, detail-oriented, curious, adaptable, and proactive approach to work.

Nice To Haves

• Prior work in robotics, robotics AI, or physical AI systems, especially in manufacturing, industrial, or logistics environments.
• Experience operating between research and production and helping teams balance exploration with delivery.
• Background in data-driven decision-making, experimentation, and KPI design in complex technical domains.
• Experience defining and instrumenting metrics for AI or robotics systems, such as reliability, coverage, cycle time, throughput, or data quality.
• Experience with storyboarding and narrative design for decks or memos.
• Track record of rapidly learning technical domains and tools and helping teams adopt them effectively.
• Experience driving programs through enterprise processes such as security reviews, procurement, and vendor onboarding.

Responsibilities

• Own cross-functional projects from problem framing and strategy through execution, measurement, and iteration.
• Program-manage multi-team initiatives with clear milestones, owners, and success metrics.
• Build and maintain program roadmaps, dependency maps, and risk registers; identify and resolve blockers.
• Drive operating rhythms with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and AI Product Management.
• Coordinate with IT, Purchasing, vendors, Finance, HR, and other partners to move programs forward.
• Manage multiple initiatives, balancing fast-turnaround work with long-horizon programs.
• Partner with leadership to define and refine Robotics AI strategy, including problem selection, sequencing, and success metrics.
• Create narratives and storyboards connecting technical work to business outcomes and manufacturing KPIs.
• Prepare executive presentations and decision documents for senior leaders, including SVP-level audiences.
• Translate technical options into structured trade-off frameworks for decision-makers.
• Define data questions and logging or telemetry requirements; analyze data with SQL, Python, or R and translate results into actionable insights.
• Build and maintain dashboards tracking program KPIs, model and system performance, deployment health, and operational metrics.
• Partner with Data Engineering and platform teams to use Databricks and other infrastructure for analytics and reporting.
• Design and orchestrate GenAI-powered workflows and agents to automate analysis, reporting, and operational tasks where appropriate.
• Learn and adopt AI, data, dashboarding, and tracking tools, and help the broader team do the same.
• Work as a technical partner to AI researchers, robotics engineers, and data engineers, and help align data collection, labeling, evaluation, and deployment with program goals.
• Collaborate with AI product managers to connect user needs, technical capabilities, and manufacturing deployment constraints.
• Engage external AI, robotics, and data-tooling partners and vendors.
• Champion a learning-oriented culture and help the team adopt effective tools, techniques, and methodologies.
• Improve program management, measurement, and communication practices across the Robotics AI organization.
• Communicate proactively with leaders and stakeholders about risks, decisions, and progress, and respond quickly to questions and requests.
• Adapt to shifting priorities and move between strategic problem framing, detailed data work, and daily execution.

Benefits

• Medical, dental, and vision benefits.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation and holidays.
• Relocation benefits for candidates who qualify under company policy.
• Incentive pay program with potential payouts based on company performance, job level, and individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level