Lead end-to-end execution of complex warehouse robotics programs, coordinating hardware, software, and deployment teams. Create project plans, manage schedules, track issues/bugs, communicate requirements to engineering, escalate blockers, and report status to leadership to balance technical constraints and business needs.
About you and this role:
Robust AI is an early-stage startup founded by an unsurpassed team of veterans in robotics, AI, and Supply Chain who are dedicated to making the promise of Embodied AI a reality. We are a collaborative group with a diverse set of perspectives, seeking talented individuals who are passionate about making robots that are valuable to customers and delightful to use. Help us redefine the very foundation of robotics and build robots that are smart, safe, and flexible: fully autonomous and truly collaborative. As a Technical Program Manager at Robust.AI , you will join a small, fast-paced team working to deploy, support, and expand the next generation of warehouse robotic systems. This is a high-visibility role that will provide an opportunity to work with all commercial and technical groups within the Robust.AI organization. You will possess a unique combination of well-developed cross-functional communication skills, problem-solving abilities, leadership, and organization. You are also comfortable working in an early-stage startup environment, can collaborate with a team, and can pivot effectively. You will have experience managing highly cross-functional technical products.
Main responsibilities:
- Drive end-to-end execution of complex robotic programs for Robust’s product portfolio
- Drive and motivate the cross-functional team to deliver the product as per the requirements and timeline
- Drive accountability of cross-functional teams, including hardware, software, and deployment
- Manage requirements for deployment sites and communicate new requirements to the relevant engineering teams
- Responsible for creating project plans for deployment, including the schedule, timeline and resourcing
- Communicate program status regularly to the leadership team, anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints
What you’ll bring to the table:
- Bachelor’s degree in Engineering or related/equivalent work experience
- 7+ years of experience managing complex technical projects with aggressive schedules
- Proficient at creating and tracking complex program schedules, managing issues and tracking bugs
- Able to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner
- Excellent leadership skills
- Excellent communication skills
- Familiar with Agile program management
- Familiar with product development lifecycles
What we offer:
- Stock options and huge growth potential
- Strong startup (and fun) culture
- Medical, Dental, and Vision coverage
- Flexible vacation and sick leave practices
- Paid parental leave
Robust AI fosters a culture of belonging and a shared commitment to equality and equity.
Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Robust.AI San Carlos, California, USA Office
1050 Commercial St,, San Carlos, CA, United States, 94070
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads large-scale technical programs and platform initiatives focused on resiliency, reliability, scalability, and operational efficiency. Establishes TPM strategies, operating models, maturity frameworks, and tooling; drives roadmaps, architectural alignment, investment planning, and cross-team delivery. Acts as an executive escalation point, manages risks and tradeoffs, defines measurable outcomes, and builds TPM capability across engineering organizations.
Top Skills:
AgileAWSCloud ComputingDistributed SystemsService-Oriented Architecture
Fintech • Machine Learning • Payments • Software • Financial Services
Leads enterprise technical programs and cross-platform investment planning, aligning roadmaps, architecture, dependencies, risks, and measurable platform outcomes. Establishes TPM operating models, maturity frameworks, tooling, and delivery accountability across engineering teams. Serves as an executive escalation point, influences tradeoffs involving speed, cost, and resiliency, and develops TPM capabilities across the organization. Requires extensive experience managing complex technical programs, distributed systems, cloud platforms, Agile delivery, and highly regulated environments.
Top Skills:
AgileAWSCloud ComputingDistributed ComputingDistributed SystemsService-Oriented Architecture (Soa)Six Sigma
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drives critical cross-functional technical programs from strategy through delivery and operational transition. Translates business objectives into execution plans, establishes milestones and accountability, manages dependencies, and influences senior executives and diverse teams. Uses AI tools to accelerate delivery and synthesize information across workstreams. Leads complex programs, facilitates collaboration, communicates technical issues clearly, and manages organizational priorities, negotiation, and conflict.
Top Skills:
AI
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
