Physical AI Technical Program Manager; TPM

Physical AI Technical Program Manager

Employer: Inabia Solutions & Consulting, Inc.
Location: Boston, Massachusetts
Work Arrangement: Onsite, five days per week
Employment Type: Contract, W-2
Compensation: Competitive compensation
Work Authorization: U.S. Citizen or Green Card only

Inabia Solutions & Consulting is seeking an experienced Physical AI Technical Program Manager to support the development of a new Physical AI team in Boston.

Building a Physical AI program from the ground up involves interconnected engineering work streams, lab-readiness activities, hardware build cycles, validation campaigns, and technical dependencies. This role will provide the structure, technical insight, and program leadership required to keep those efforts aligned and moving forward.

This is not a traditional project coordination position. The Technical Program Manager must be comfortable participating in hardware design reviews, understanding complex engineering discussions, asking informed questions, and translating technical status into clear program decisions, risks, and priorities.

The right candidate will know how to create structure in an ambiguous environment, manage multiple technical work streams, and hold teams accountable without adding unnecessary administrative overhead.

• Own the integrated program plan for the Boston Physical AI team, including hardware builds, lab operations, validation campaigns, and engineering milestones.
• Build and maintain a current dependency map across onsite and remote engineering teams.
• Identify technical and schedule risks before they affect major milestones.
• Establish and manage program cadences, including sprint planning, milestone reviews, risk reviews, and cross-team meetings.
• Track action items, technical decisions, owners, deadlines, and commitments across work streams.
• Hold teams accountable for deliverables and follow-through.
• Adjust program plans as technical requirements, schedules, and priorities change.

• Identify technical, schedule, resource, and dependency risks.
• Develop and drive practical mitigation plans instead of only reporting problems.
• Determine which decisions require leadership involvement and which should be resolved within the engineering teams.
• Establish clear escalation paths for unresolved risks and blockers.
• Build and maintain program dashboards that provide leadership with current visibility into milestones, risks, decisions, and dependencies.
• Reduce manual status collection by creating reliable reporting processes and tools.
• Facilitate structured tradeoff discussions when technical requirements, resources, or priorities conflict.
• Document decisions, owners, and expected outcomes.

• Serve as the primary connection between onsite lab teams, engineering teams, remote contributors, and organizational stakeholders.
• Translate detailed engineering status into clear program-level updates.
• Communicate program progress, risks, blockers, and decisions to engineering leadership.
• Coordinate with supply chain, facilities, IT, partner engineering teams, and other external stakeholders.
• Resolve dependencies that fall outside the immediate Physical AI team.
• Manage new requests, scope changes, and shifting priorities while maintaining clarity about what is included in the approved program plan.

• Build practical program management processes designed for a fast-moving research and development environment.
• Establish enough structure to support accountability and execution without creating unnecessary administrative burden.
• Select and manage program-tracking tools such as Jira, Confluence, Asana, or comparable platforms.
• Drive consistent adoption of program…