Mind Robotics Logo

Mind Robotics

Senior Staff Technical Program Manager, Robotics Systems

Reposted 9 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
Expert/Leader
In-Office
Palo Alto, CA, USA
Expert/Leader
As a Staff Technical Program Manager, you will oversee the integration of hardware, software, and data systems at Mind Robotics, ensuring cross-functional alignment and managing complications during development cycles.
The summary above was generated by AI
The Role

We're looking for a Senior Staff Technical Program Manager to serve as the operational and strategic backbone of Mind Robotics' core platform development. This is a founding program management role — the connective tissue between our hardware, software, and data collection teams as we scale from prototype to fleet deployment.

You will own the integrated master plan for our robotics platform: the full-stack convergence of dexterous hardware, real-time control systems, and the data flywheel that trains our models. You are not a timeline tracker. You are a systems thinker who can hold the big picture, identify dependencies before they become blockers, and push every team to deliver against a shared roadmap. This role is the difference between hardware and software operating in parallel — and operating as one.

You will work directly with our founder and functional leads. You will make this company move faster.

What You'll Do

Cross-Functional Program Leadership

  • Own the integrated master program plan across hardware, software, and data collection — maintaining a single source of truth for milestones, dependencies, and critical path items.

  • Identify and surface cross-functional risks before they become schedule-critical blockers; drive resolution with urgency and clarity.

  • Serve as the primary connective layer between the hardware engineering, software/ML, and data operations teams — ensuring no workstream operates in isolation.

  • Lead structured program reviews that keep leadership and teams aligned on priorities, trade-offs, and resource requirements.

Hardware Program Management

  • Manage the complexity of our electromechanical system: part-level ownership, supplier lead times, sourcing strategies, and DVT/EVT iteration cycles.

  • Build and maintain a rigorous parts and supplier tracking system — ensuring every component on the critical path has an owner, a plan, and a fallback.

  • Partner closely with the hardware lead to translate design decisions into program-level implications across the full stack.

  • Proactively model the downstream impact of hardware iteration loops on software readiness and data collection timelines.

Hardware-Software Integration

  • Own the integration checkpoints where hardware and software must converge — defining the criteria, the owners, and the escalation path when they don't.

  • Ensure software feature development is sequenced against hardware availability; prevent decoupled roadmaps from creating surprise dependencies.

  • Drive alignment on platform commitments — gripper design, sensing modalities, actuation systems — so that data collection and model training are never blocked by an unresolved hardware decision.

Roadmap & Milestone Execution

  • Translate high-level product goals into a detailed, dependency-mapped roadmap with clear ownership at every stage.

  • Define and track the program milestones that matter: hardware readiness gates, data collection launch criteria, model deployment checkpoints, and fleet scale targets.

  • Hold the team accountable to commitments without creating bureaucratic drag — this is a role about velocity, not process for its own sake.

Qualifications
  • 10+ years in technical program management, with significant experience owning hardware-software integrated systems at a senior IC level.

  • Proven track record managing complex electromechanical programs through full development cycles — from early prototype through production or scaled deployment.

  • Deep instincts around hardware lead times, supplier management, and the downstream program implications of physical iteration cycles.

  • Experience in robotics, autonomous systems, automotive (EV/software-defined vehicle), semiconductor systems, or adjacent deep tech hardware industries.

  • Exceptional cross-functional operator: known for bringing clarity to ambiguous programs, not adding process overhead.

  • Strong technical foundation — comfortable engaging directly with mechanical, electrical, and software engineers at a level of depth that earns credibility.

  • Startup builder mentality: you create structure from ambiguity, own outcomes end-to-end, and move with urgency.

  • Experience scaling hardware systems from 0 to meaningful fleet deployment is a strong plus.

Similar Jobs

A Minute Ago
In-Office
74K-262K Annually
Entry level
74K-262K Annually
Entry level
Beauty • Robotics • Design • Appliances • Manufacturing
Create bold, vertical-first product demonstration content for TikTok, Instagram, YouTube, and global markets. Develop concepts, shoot, edit, and publish short-form videos that visually prove SharkNinja products through controlled tests, torture tests, experiments, stunts, and everyday-use demonstrations. Collaborate with product, engineering, brand, and regional marketing teams while working onsite in a facility involving water, fire, dust, food, and mess. Candidates may contribute as creators, writers, editors, on-camera talent, or one-person production crews.
Top Skills: 000 Frames Per Second Video1High-Speed CamerasInstagramTiktokVertical VideoYoutube
13 Minutes Ago
Hybrid
San Jose, CA, USA
185K-250K Annually
Entry level
185K-250K Annually
Entry level
Artificial Intelligence • Internet of Things • Semiconductor
Own strategic customer relationships and commercial opportunities for Arm silicon across Physical AI and Edge AI markets. Develop demand, identify lighthouse customers, progress opportunities from evaluation through design wins and deployment, maintain pipeline forecasts, gather market and product insights, and coordinate cross-functional teams. Engage senior business and engineering leaders while communicating Arm’s value in performance, power efficiency, AI capability, security, software ecosystem, and system economics.
Top Skills: Ai AcceleratorsAi InferenceAi SiliconCompute PlatformsCpusEdge AiEdge Software EcosystemsEmbedded SoftwareFunctional SafetyHeterogeneous ComputePhysical AiReal-Time ProcessingSemiconductorsSocs
31 Minutes Ago
Easy Apply
Remote or Hybrid
San Francisco, CA, USA
Easy Apply
189K-242K Annually
Mid level
189K-242K Annually
Mid level
Fintech • HR Tech
Build and support AI-powered workflows and automation for Gusto’s go-to-market teams. The role contributes to GTM AI strategy, evaluates models and vendors, integrates Salesforce and other GTM systems with data warehouses, and develops evaluation frameworks measuring reliability, latency, cost, and business impact. It also coordinates cross-functional implementation, training, adoption, and reusable guardrails across Sales, Marketing, and Partner teams.
Top Skills: Ai AgentsAi ToolsAutomation WorkflowsData WarehousesGongOutreachSalesforce

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account