Software AI Technical Program Manager

Familiar Machines & Magic; Woburn (MA); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Familiar Machines & Magic seeks a Principal Software and AI Technical Program Manager to drive AI and software initiatives for the Familiars platform in Massachusetts. You will connect AI, software, and hardware teams, set milestones, and translate research into shippable milestones.

This senior role emphasizes autonomy, systems thinking, and collaboration with leadership to shape development strategy across AI, ML, and embedded systems.

Qualifications

• Extensive experience delivering AI/ML products in multi-team settings.
• Proven track record coordinating software, AI, and hardware programs.
• Strong understanding of AI/ML systems and deployment in real products.
• Experience guiding programs through research uncertainty.
• Fluent with agile development and release planning.
• Background in consumer robotics or embedded systems preferred.

Responsabilités

• Own end-to-end delivery of AI and software outcomes across teams.
• Build realistic program plans and adjust with research results.
• Align engineering, product, and leadership with the roadmap.
• Identify risks and dependencies early and drive resolution.
• Communicate status and changes to stakeholders and execs.

Connaissances

Technical program management

AI/ML product delivery

Multi-team leadership

Systems thinking

Agile methodologies

Embedded/real-time systems

Description du poste

About Us

Familiar Machines & Magic (FM&M) is building the Physical AI platform for human connection, beginning with Familiars — physically embodied AI systems designed to form long-term, emotionally intelligent relationships with people. Our mission is to create artificial life to build a more caring world.

Founded by industry leaders from iRobot, Outrider, and Amazon, our team has collectively deployed over 50 million consumer robots worldwide and led advances in navigation, machine learning, and human-robot interaction.

Familiar Machines & Magic is building a mission-driven team of high performers, anchored in our unique Culture Principles and Ways of Working.

We’re looking for a Principal Software and AI Technical Program Manager to drive the development of the AI and software systems that bring Familiars to life. This is a senior, highly cross-functional role for someone who thrives where AI, software, hardware, and product meet, and who can turn ambitious, sometimes uncertain research into predictable, shippable milestones.

You’ll be the connective tissue across our AI and software teams, coordinating the work that gives a Familiar its intelligence: perception, machine learning, and behavior. You’ll work closely with our Hardware Technical Program Manager (TPM) and Chief R&D Officer to keep the AI, software, and hardware programs in lockstep, while owning delivery for the AI and software functions.

As a Principal TPM, you’ll operate with a high degree of autonomy: determining the objectives and approach for the team’s most critical programs, driving strategic initiatives, and making the framework-level decisions that set direction for how the organization plans and ships. You’ll help build something new to the world: emotionally intelligent Physical AI.

This role reports to our Head of Technical Program Management.

What You’ll Do | Responsibilities & Scope

• Own end-to-end delivery of complex AI and software functionality, from research through production, across the AI and Software teams

• Build and maintain realistic program plans, schedules, and milestones, and keep them accurate as priorities and research outcomes shift

• Coordinate across disciplines and sub‑teams (e.g., perception, AI, behaviors) and collaborate tightly with the Hardware TPM on shared dependencies

• Identify and manage technical risks and cross‑team dependencies early, and move them to resolution

• Set the framework for how programs are planned, sequenced, and delivered, and bring improvements to senior leadership

• Partner with the engineering leadership and key stakeholders to align execution with the product roadmap

• Balance research uncertainty with delivery deadlines, helping teams make smart trade‑offs without losing momentum

• Communicate status, risks, and changes clearly to stakeholders and leadership

What You’ll Bring | Experience, Expertise & Qualifications

• Extensive experience in technical program or project management, including deep experience delivering AI/ML products

• A track record leading multi‑team programs where software, AI, and hardware come together, recognized by your peers as a technical leader in AI/ML program delivery

• Strong, hands‑on understanding of AI/ML systems: how models are built, trained, evaluated, and shipped in a real product

• Experience managing programs through research uncertainty, where scope and outcomes aren’t fixed up front

• Fluency with modern development and release practices (agile, release planning, risk and dependency management)

• Consumer robotics, embedded, or real‑time systems experience (preferred)

How You’ll Succeed | Mindset, Judgment & Ways of Working

• Autonomy and ownership: you take initiative on critical, ambiguous programs and move strategic work forward

• Systems thinking: you hold the whole picture and see how AI, software, and hardware decisions ripple across each other

• Comfort with ambiguity and genuine excitement for building a new category

• Motivation to improve how the team works, paired with the judgment to bring the right recommendations to leadership

• The ability to distill complex technical detail into clear, concise guidance for engineers and leadership alike

• Empathy and steadiness under pressure

• Driven by the opportunity to explore the intersection of technology, design, and emotional connection

Familiar Machines & Magic is an Equal Opportunity Employer. We are committed to fostering a diverse, inclusive, and equitable workplace where all individuals are valued and respected. Employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, gender, sexual orientation, national origin, disability, veteran status, or any other protected status.