Technical Program Manager - Physical AI

Overview Client•Atlanta, GA

About The Position

The client is seeking a hands-on Technical Program Manager to drive complex Physical AI initiatives connecting AI, software, and the physical world. The role partners with Engineering, AI, Product, UX, and business teams to turn priorities into executable plans and deliver programs in a fast-paced environment. The successful candidate will be proactive, highly organized, able to work independently, manage concurrent projects, navigate ambiguity, and communicate effectively with technical and business stakeholders. The position leads large-scale engineering and software programs and coordinates execution across multiple Agile/Scrum teams, while managing milestones, commitments, budgets, timelines, risks, dependencies, resources, and stakeholder communications. It also supports execution across globally distributed teams and external engineering partners or vendors. The role is 100% onsite, though remote candidates with exceptional Technical Program Management experience may also be considered. The stated first-shift schedule is 8:00 AM to 5:00 PM. Interviews are conducted by video.

Requirements

Bachelor’s degree required.
At least 8 years of experience in Technical Program Management, Engineering Program Management, or related roles.
Proven experience delivering large, complex engineering or software programs on time and within budget.
Demonstrated experience leading execution across multiple Agile/Scrum engineering teams.
Strong understanding of Agile development methodologies and experience partnering with software engineering organizations.
Ability to manage multiple projects simultaneously while driving milestone achievement and delivery commitments.
Strong program leadership, stakeholder management, risk management, and problem-solving capabilities.
Experience with resource planning, budgeting, forecasting, and program risk management.
Experience working with globally distributed teams and/or external engineering partners.
Strong written and verbal communication skills, including executive-level status reporting and communication with technical and business stakeholders.
Proficiency with program and project management tools, Agile methodologies, software development practices, roadmap planning, sprint execution, dependency tracking, risk management, and KPI reporting.
Able to work independently and drive stakeholder communication; strong IT project management skills.

Nice To Haves

Experience with AI/ML, Physical AI, industrial software, IoT, building automation, industrial automation, or connected products.
Experience leading programs involving six or more Agile/Scrum teams.
Ability to understand technical complexity and connect business objectives with technology execution.
Strong analytical and problem-solving skills, including identifying and managing cross-team dependencies.
Experience leading and influencing cross-functional teams in a global, matrixed environment.
Experience managing global vendors and external development teams.
Ability to prioritize effectively and adapt to changing requirements and ambiguity.
Strong collaboration skills and a team-first mindset.
Passion for innovation, continuous learning, and applying emerging technologies to deliver customer outcomes.

Responsibilities

Lead delivery of large-scale engineering and software programs, managing milestones, commitments, budgets, and timelines.
Coordinate execution across multiple Agile/Scrum engineering teams and align engineering, product, AI, UX, and business stakeholders.
Identify, manage, and resolve program risks, dependencies, and blockers to maintain delivery against objectives.
Develop and maintain program plans, roadmaps, documentation, action items, status reports, and KPI tracking.
Manage resource planning, budgeting, forecasting, headcount planning, and quarterly financial forecasting across programs and portfolios.
Present program status, risks, dependencies, and financial updates to technical teams and senior business leadership.
Drive execution across globally distributed teams and external engineering partners or vendors.
Bring structure, clarity, and accountability to complex or ambiguous initiatives while adapting to changing priorities.
Work independently and drive stakeholder communication.