All candidate must be eligible to work in the US without a sponsorship. No exceptions.
About the Role & Organization
We are building one of the most ambitious AI and robotics programs in manufacturing, developing physical AI systems capable of autonomously manipulating thousands of parts across a global plant network.
Our Robotics AI organization sits at the intersection of cutting-edge AI research, robotics engineering, data infrastructure, and global manufacturing operations. We don't just research — we deploy real technology into physical factories at enterprise scale.
Role Overview
We are seeking a high-caliber Robotics AI Strategy & Program Lead to own end-to-end, cross-functional initiatives across AI research, robotics engineering, data infrastructure, and plant operations.
In this high-visibility role, you will be embedded with AI researchers, roboticists, data engineers, and AI product managers. You will blend strategic problem framing, technical program management, advanced analytics, and hands-on AI agent workflows to move multi-year platform bets and rapid experiments from concept to factory floor.
You are a relentless operator known for cutting through organizational complexity and translating seamlessly between deep technical details and executive-level business outcomes.
What You Will Own
- End-to-End Ownership: Drive multi-team initiatives (e.g., physical AI capabilities, telemetry pipelines, analytics tooling) from initial framing through execution, measurement, and iteration.
- Roadmaps & Risk Mitigation: Build and maintain program roadmaps, dependency maps, and risk registers; proactively clear organizational blockers across IT, Purchasing, Vendors, Finance, HR, and Manufacturing.
- Operating Rhythms: Establish and lead standups, reviews, and steering forums with AI Research, AI Engineering, Robotics Engineering, Manufacturing Engineering, and Product teams.
- Multi-Threaded Execution: Effortlessly context-switch between fast-turnaround daily deliverables and long-horizon platform programs without losing accuracy or detail.
2. Strategy, Storytelling & Decision Support
- Strategic Framing: Partner with leadership to refine the Robotics AI strategy, including problem selection, sequence of technology bets, and business success metrics.
- Executive Narratives: Craft structured storyboards, memos, and executive-ready presentations for SVP-and-above decision-makers, synthesizing complex trade-offs into actionable choices.
- KPI Definition: Connect technical AI/robotics milestones directly to enterprise manufacturing outcomes, cycle times, and operational metrics.
3. Data, Analytics & AI Tooling
- Hands-on Analytics: Define data logging/telemetry requirements, run custom SQL queries, analyze datasets using Python or R, and translate raw data into actionable insights.
- Dashboarding & Infrastructure: Build and maintain high-impact dashboards (Looker, Power BI) tracking model performance, deployment health, and plant KPIs, using Databricks for underlying reporting.
- AI & Agent Orchestration: Design and deploy GenAI-powered workflows and agents to automate reporting, operational workflows, and repetitive analytical tasks.
- Tool Adoption: Champion and rapidly adopt modern analytics, tracking (Jira), low/no-code platforms (Power Apps, AppSheet), and AI copilots across the organization.
4. Technical & Cross-Functional Collaboration
- Technical Interface: Serve as a fluent partner to AI researchers and roboticists — understanding the underlying technical challenges in data collection, labeling, model evaluation, and physical deployment without needing to write production code.
- Product & Vendor Alignment: Collaborate with AI Product Managers to map user needs against factory constraints, and interface directly with external robotics/AI partners and vendors.
Required Qualifications
- Education: Bachelor’s or higher degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related technical discipline.
- Experience: 4+ years of experience across one or more of the following domains:
- Management consulting or corporate strategy
- Technical program management (TPM) or product management
- Data science or advanced data analytics
- Domain Context: Meaningful experience in AI, ML, or robotics (e.g., applied ML, computer vision, robotics AI, or intelligent automation).
- Technical Analytics Skills: Hands-on proficiency with SQL, Python or R, and enterprise dashboarding tools (Looker or Power BI) on modern data platforms (Databricks).
- GenAI & Tooling Fluency: Practical experience using GenAI tools/copilots in daily workflows and designing/orchestrating AI-assisted workflows or agents. Experience with Jira and low/no-code application builders.
- Program Leadership: Proven track record of leading large, ambiguous, cross-functional programs with parallel technical workstreams.
- Executive Presence & Storytelling: Ability to modulate communication styles — diving into granular technical discussions with engineers and synthesizing big-picture strategy for senior executives.
Strongly Preferred Qualifications
- Background in physical AI, robotics, or computer vision deployed in manufacturing, industrial, or logistics environments.
- Experience navigating the bridge between AI research and production systems.
- Track record of instrumenting reliability, coverage, throughput, and performance metrics for AI/robotics platforms.
- Hands-on experience navigating complex enterprise processes (security, procurement, vendor onboarding) to maintain technical momentum.
Who You Are
- The Strategic Operator: You can elevate discussion to 30,000 feet for executive alignment, then drop into SQL queries or data pipelines to solve an operational blocker.
- The Storyteller: You naturally structure complex technical progress into concise, impactful narratives that drive decision-making.
- The Hustler: You are known as a high-energy builder who creates clarity out of ambiguity and gets things done across organizational boundaries.
- The Continuous Learner: You are obsessed with testing new AI tools, agent frameworks, and low-code platforms, actively helping your team adopt what works.