Staff Technical Program Manager, Robotics Systems

Posted 6 Days Ago
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Palo Alto, CA, USA
In-Office
Expert/Leader
Artificial Intelligence • Robotics • Industrial • Manufacturing
The Role
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.
Summary Generated by Built In
The Role

We're looking for a 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.

Core Responsibilities — First 6 Months

Immediate (Days 1–30)

  • Integrated roadmap audit: Map the current state of hardware, software, and data collection timelines into a single dependency graph. Surface the top 5 cross-functional risks within the first 30 days.

  • Supplier & parts baseline: Establish a living tracker for all hardware components on the critical path — lead times, ownership, sourcing status, and risk flags.

  • Program cadence: Stand up a lightweight but rigorous cross-functional program review cadence with standardized inputs from each team.

Near-Term (Days 30–90)

  • Hardware-software integration plan: Define the formal integration checkpoints for the first full system build — criteria, owners, and go/no-go gates.

  • DVT/EVT planning: Working with the hardware lead, map the full iteration loop plan through first deployable units — including resource requirements and schedule risk.

  • Data collection dependency map: Partner with the data lead to ensure the data flywheel build plan is gated appropriately against hardware readiness milestones.

Six-Month Milestone

  • Path to fleet: Own and maintain the program plan for our first meaningful robot deployment in Normal — with all cross-functional dependencies resolved, resourced, and tracked.

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.

Skills Required

  • 10+ years in technical program management
  • Experience managing electromechanical programs
  • Knowledge of hardware lead times and supplier management
  • Experience in robotics or adjacent deep tech hardware industries
  • Ability to engage with engineers across disciplines
  • Experience scaling hardware systems from 0 to fleet deployment
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The Company
20 Employees
Year Founded: 2025

What We Do

Mind Robotics builds intelligent, AI-driven robotic systems for industrial deployment, focusing on creating collaborative platforms for manufacturing environments.

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