Staff Technical Program Manager - AI Resources

Boston Dynamics, Inc.; Waltham (MA); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Annual bonus

Job summary

Boston Dynamics seeks a Technical Program Manager to lead the PMO and optimize the AI infrastructure that powers our robotics initiatives. You will orchestrate sequencing of work across training clusters, data processing pipelines, and data operations teams to keep engineers moving fast as we scale.

You will influence resource allocation for GPU clusters, coordinate with AI engineering leads, and drive roadmap alignment with the broader AI robotics strategy.

Qualifications

• BS or higher in Engineering or a technical field or equivalent work experience.
• 2+ years in a program management role, handling multiple schedules and compute/infrastructure resources.
• Strong communication; ability to distill complex info into concise formats.
• Experience with PM tools (Google Suite, JIRA/Atlassian products).
• Experience coordinating across engineering and data teams to manage shared resources.

Responsibilities

• Organize, sequence, and prioritize work across training clusters and data teams to maximize efficiency.
• Allocate GPU resources across concurrent model trainings and protect throughput.
• Oversee data pipelines converting real-world robot data into training inputs for AI models.
• Manage relationships with external vendors for data annotation and QA.
• Drive process improvements for resource allocation and utilization tracking.

Skills

Program management

Cross-functional leadership

Communication

Jira/Atlassian

Google Suite

Resource allocation

Stakeholder management

AI infrastructure

Education

BS or higher in Engineering or related field

Tools

JIRA

Google Workspace

Job description

As a Technical Program Manager within Boston Dynamics PMO, you will be an integral part of the core program leadership, accountable for the operational efficiency of the resources that power our AI teams. You will own the sequencing and prioritization of work across our training clusters, data processing pipelines, and data operations teams, ensuring our engineers can move as fast as possible as we scale our AI robotics strategy. The ideal candidate will have considerable influence over how AI infrastructure resources are allocated and will regularly engage with AI engineering leads and stakeholders to ensure successful outcomes. We're seeking a self-motivated individual capable of balancing strategic vision with meticulous attention to detail, essential for fostering consensus amidst competing demands for limited compute. A crucial skill you'll possess is the ability to discern dependencies across engineering, data, and infrastructure teams, adeptly navigating complex tradeoffs, and integrating them into a cohesive resourcing plan. Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. For years, our awe-inspiring viral videos on YouTube have shown the world what remarkably capable robots can do. Now we are quickly becoming a recognized leader in automation solutions for industrial applications and warehouse logistics.

How you will make an impact:

• Organize, sequence, and prioritize work across our training clusters, data processing pipelines, data operations teams, and other engineering groups so the organization operates at maximum efficiency.
• Allocate our substantial GPU resources across many concurrent model training projects; work directly with teams to queue critical work, prioritize competing requests, and ensure teams maximise their output.
• Oversee critical data processing pipelines that convert real-world robot experience into the data used to train and control AI models.
• Manage relationships with external vendors who support data annotation and QA at scale.
• Drive consistency, improvement, and efficiency by proactively scheduling resource utilisation ahead of critical business events and deadlines.
• Collaborate with AI engineering leadership to define resourcing objectives and priorities, and develop plans and roadmaps that keep infrastructure aligned with the broader AI robotics strategy.
• Identify potential risks to compute or data availability that may impact program delivery; develop mitigation strategies and contingency plans to minimise disruption.
• Engage with key stakeholders, including AI engineers, data operations leads and executives, to provide updates on resource utilisation, gather feedback, and address bottlenecks.
• Drive process improvements and best practices for resource allocation and utilisation tracking; conduct post-program reviews to identify areas for improvement.
• Drive other program deliverables across AI infrastructure and the teams dedicated to building BD's internal AI tools and capabilities.
• Manage data procurement and contract negotiations.
• Investigate and source commercial training data sets needed for future modelling.

What You bring:

• BS or higher in Engineering or a Technical Related Field (Computer Science, Electrical Engineering, Mechanical Engineering, Physics, etc.) or equivalent work experience.
• Minimum 2 years of experience in a program management role, managing multiple programmes and schedules, ideally involving compute or infrastructure resourcing.
• Passion for problem solving and a drive to ask questions and understand the big picture while still being attentive to technical details.
• Strong communication skills and the ability to distil complex technical information into concise, easily understood formats: presentations, white papers, and status updates.
• Proven capacity to leverage an array of project management tools, methodologies, and techniques throughout the AI/ML development lifecycle, including Google Suite, JIRA/Atlassian Products, and similar systems.
• Ability to see, understand and articulate team priorities in support of overall company and AI strategy goals.
• Experience coordinating across engineering and data teams to manage shared, constrained resources (e.g., GPU/compute clusters, data pipelines).
• Proven experience building sustainable processes within cross-functional groups.
• Excellent leadership and interpersonal skills; ability to effectively collaborate with diverse teams and stakeholders, both technical and non-technical.

Nice to have:

• Direct experience managing GPU or training cluster resource allocation.
• Familiarity with data annotation/QA vendor management for ML pipelines.
• Broad technical background and understanding of AI/ML model training workflows, ideally in a robotics context.

The base pay range for this position is between $130,000 to $150,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting.

Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure.

Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.