Own end-to-end delivery of robotics programs spanning software releases, hardware builds, and customer deployments. Coordinate engineering, product, and operations dependencies; manage roadmaps, milestones, risks, capacity, and trade-offs; and lead Agile planning, release readiness, retrospectives, dashboards, and program reviews. The role also establishes scalable program management practices and maintains planning and decision-tracking systems in Linear and Notion.
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are seeking a Technical Program Manager to own delivery across the programs that scale Skild AI’s robots to new customer sites, applications, and robot types. Our robots already work in customer facilities. You will run the product releases, hardware builds, and customer deployments that take them to production, where robotics hardware, foundation models, and fleet software meet. You will report to the Senior Director of Product & Engineering and work closely with engineering, product, and operations leaders. You will own how programs are planned, tracked, and delivered, and give leadership clear visibility into progress, risks, and trade-offs. This role offers the chance to shape how a fast-growing company executes and to grow the program management function over time.
Responsibilities- Own end-to-end delivery of concurrent programs, from software releases to hardware builds and customer deployments, and hold teams to clear commitments and milestones.
- Coordinate dependencies across engineering, product, and operations so work lands in the right order.
- Surface schedule, technical, and resourcing risks early, drive mitigation, and present trade-offs to leadership with clear options.
- Lead roadmap and quarterly planning with engineering leads so commitments match team capacity.
- Run and refine lightweight, Agile-aligned processes for planning, release readiness, and retrospectives, tailored to each team’s size and maturity.
- Build dashboards and run program reviews that give leadership a single, trusted view of status, risk, and capacity.
- Write clear program updates, decision memos, and post-mortems.
- Own and evolve how we use Linear and Notion so plans, dependencies, and decisions are easy to track and find.
- Bachelor’s degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 5+ years of technical program management experience on hardware and/or software products.
- Proven track record of shipping physical products end to end in robotics, consumer electronics, aerospace, automotive, or similar, including sustaining releases after launch.
- Experience managing programs across multiple cross-functional teams with external dependencies.
- Experience running programs that span hardware, firmware, software, and cloud services, with enough technical depth to challenge estimates and spot integration risks.
- Experience establishing and scaling program management and Agile practices in a fast-paced, growing company.
- Hands-on experience configuring Linear and Notion (or similar tools such as Jira and Confluence) and building dashboards leaders rely on.
- Ability to build strong relationships with engineering, product, and executive leaders and drive decisions without direct authority.
- Scripting or automation skills, or Scrum Master or PMP certification, are a plus.
Base Salary Range
$100,000—$300,000 USD
Skild AI San Francisco, California, USA Office
San Francisco, California , United States
Similar Jobs
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Leads technical data integration and analysis across subsystem, ground, and flight-test programs. Develops analysis plans, data products, processing workflows, and visualizations; validates telemetry and instrumentation data; compares measured performance with requirements and simulations; supports anomaly investigation; and synthesizes system-level conclusions. Coordinates engineering, test, modeling, simulation, and external stakeholders while producing technical reports, executive briefings, and traceable analysis documentation.
Top Skills:
CC++Configuration ManagementConfluenceData Acquisition SystemsInstrumentationJIRAMatlabPythonSimulinkSQLTelemetry Systems
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead complex, cross-functional technical programs across Platform Services Engineering. Responsibilities include creating program roadmaps, managing dependencies and risks, aligning engineering and executive stakeholders, establishing governance and success metrics, improving platform adoption, driving architectural initiatives, and communicating program status. The role requires strong technical fluency, executive communication, data-driven decision-making, and experience leading ambiguous, multi-team programs.
Top Skills:
DatadogGantt ChartsJIRAMetricsenseSlo Dashboards
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads complex, cross-functional engineering programs for HPE networking and IT products. Manages schedules, budgets, resources, deliverables, risks, stakeholders, and project teams through product development and implementation. Partners with engineering, manufacturing, management, external organizations, and development teams to resolve escalations, improve processes, integrate technologies, and meet product roadmaps. Provides technical guidance, mentoring, and senior-level communication across matrixed teams.
Top Skills:
AgileAi ToolsDevOpsNetworkingProgram Management SoftwareProject Planning SoftwarePublic Cloud
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
