Technical Program Manager, Public Sector (Boston, MA)

Posted Yesterday
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Boston, MA, USA
In-Office
138K-249K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Leads delivery of AI and agentic workflows for national security customers. Owns customer account planning, technical issue triage, analytics-driven resource alignment, cross-functional execution, risk management, and customer success. Partners with engineering and product teams to transition generative AI and machine learning solutions into operational government products, addressing ambiguous requirements and technical challenges. Requires active TS/SCI clearance, technical fluency, stakeholder management experience, Boston-area facility access, and at least 25% travel.
Summary Generated by Built In

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring a technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive workflows underpinning the reliability of solutions that add direct value to Scale’s Public Sector customers. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

  • Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers
  • Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions
  • Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space
  • Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous
  • Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
  • Lead a cross-functional team to exceed the customer’s AI/ML objectives
  • Manage the long-term health of the customer base by identifying and preempting areas of risk or concern
  • Strategically identify ways we can make customer success repeatable and solve issues for future customers
  • Address engineering problems alongside the product development teams

Must Haves:

  • An active TS/SCI clearance
  • 3+ years of experience succeeding in stakeholder management or customer-facing role
  • A technical background (education or professional experience with computer science, statistics, or engineering)
  • A deep understanding of generative AI / ML fundamentals like RAG, evals, and agent orchestration
  • A track record of structured, analytics-driven problem-solving
  • Excellent verbal and written communication skills
  • Ability to be work at a cleared facility in the greater Boston area three or more days per week and willingness to travel at least 25% of the time (with occasionally surge periods of 50%)

Nice to haves: 

  • Aerospace manufacturing familiarity such as: 
    • Hands-on exposure to CAD product lifecycle management ecosystems, configuration management practices, engineering drawing standards, and digital twin concepts 
  • Prior experience on legacy aircraft sustainment or maintenance, repair, and overhaul programs is a particular plus

We have a diverse team with a variety of skill sets, many have:

  • 10+ years of professional experience, often in a customer-facing technical program management role in industry or government.
  • Prior experience at an API technology company and / or managing technical customers using an API
  • Proficiency in Python or other programming languages

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Massachusetts is:
$138,400$249,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Skills Required

  • Active TS/SCI security clearance
  • 3+ years of experience in stakeholder management or a customer-facing role
  • Technical background through education or professional experience in computer science, statistics, or engineering
  • Deep understanding of generative AI and machine learning fundamentals, including RAG, evaluations, and agent orchestration
  • Track record of structured, analytics-driven problem-solving
  • Excellent verbal and written communication skills
  • Ability to work at a cleared facility in the greater Boston area at least three days per week
  • Willingness to travel at least 25% of the time, with occasional surge periods of 50%
  • Aerospace manufacturing familiarity, including CAD product lifecycle management, configuration management, engineering drawing standards, and digital twin concepts
  • Experience with legacy aircraft sustainment or maintenance, repair, and overhaul programs
  • 10+ years of professional experience in a customer-facing technical program management role in industry or government
  • Experience at an API technology company or managing technical customers using an API
  • Proficiency in Python or another programming language

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
  • Leave & Time Off Breadth Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
  • Equity Value & Accessibility Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.

Scale AI Insights

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The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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