---
title: 'Technical Program Manager (Cyber), Public Sector at Scale AI'
canonical: 'https://feeny.ai/job/technical-program-manager-cyber-public-sector-scale-ai-columbia-309aqc75ajna'
type: 'job'
last_seen: '2026-09-16'
---

# Technical Program Manager (Cyber), Public Sector at Scale AI

- **Company:** Scale AI
- **Location:** Columbia, MD / Washington, DC
- **Compensation:** $199k–$249k
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4732222005

## Job description

Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more.

We’re looking for a Cyber Technical Program Manager on the Public Sector team to own all critical processes that enable our customers to research model capabilities, achieve breakthroughs in performance, and realize outsized value in their AI/ML initiatives. Scale's Public Sector cyber customer base is growing rapidly, and you will be on the front lines of ensuring these customers become passionate, lifelong partners.

As a member of the Public Sector Delivery and Operations team, you’ll be a hybrid customer success and technical program manager—owning the account and project plan, managing end-to-end execution, aligning internal resources, and triaging issues. You will support the creation of test and evaluation data that helps our customers understand and advance model and agentic applications for cyber national security objectives.

You will:

- Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
- Oversee end-to-end creation and delivery of high-quality datasets that evaluate model performance in cyber domains (i.e., malicious network traffic, cryptographic systems, adversarial LLM prompts, threat intelligence, and cyber ethics)
- Oversee and track the deployment of Scale software within customer environments and systems
- Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
- Manage customer relationships from the executive to the end user
- Oversee onboarding and successful implementation of customer accounts
- Partner with customers to understand operational issues and advocate for their fixes with Scale engineers
- Work directly with customer's engineering teams and end users, answering questions and addressing issues with use of our products and solutions

Must haves:

- An active Top Secret security clearance with polygraph (required) 5+ years of experience in the cybersecurity sector, within or in collaboration with a government institutions
- Deep domain knowledge of cyber topics inclusive of  network activity, ethical hacking, cyber security preparedness, cyber incidents
- Willingness to be onsite with the customer in the Columbia, MD area 4 days per week and able to travel at least 25% of the time (as needed)
- Technical degree in computer science, engineering, mathematics, or related field
- High cross-functional influence and EQ
- Excellent communication and presentation skills with external stakeholders
- A history of diligence and organization across multiple work streams

Ideally, you’d have:

- 5+ years of experience in program management, operations, or customer facing role
- 10+ years of experience in the cybersecurity sector, within or in collaboration with a government institution.
- Experience operating in a fast-paced startup environment
- Passion for solving complex challenges and building efficient systems in AI
- Previous experience working with deploying software into secure cloud infrastructure
- A basic understanding of ML operations and an aptitude to develop mastery on generative AI workflows / products

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 Washington DC is: $199,200—$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 accommodations@scale.com. Please see the United States Department of Labor's [Know Your Rights poster](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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](https://scale.com/legal/privacy) for additional information.

## About Scale AI

## Company Overview
- **One-liner**: Scale AI provides high-quality data, RLHF, model evaluations, and full-stack AI infrastructure to help enterprises and governments build, deploy, and oversee reliable AI systems.
- **Entity Type**: Private (49% non‑voting stake owned by Meta Platforms as of June 2025; total funding $1.6B across eight rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2016
- **Founders**: Alexandr Wang, Lucy Guo (Wang left in June 2025; current CEO is Jason Droege)

## Core Business
- **Primary industry**: AI infrastructure, data annotation, large language model (LLM) evaluation, enterprise AI deployment
- **Target customers**: B2B – Enterprise and government organizations; also serves leading AI labs (e.g., OpenAI, Google DeepMind, Meta, Microsoft, General Motors)
- **Mission**: “Develop reliable AI systems for the world's most important decisions.”

## Products & Services
- **Data at Scale**: High-quality training data, annotations, and RLHF for advanced AI models (SaaS + human-in-the-loop service)
- **Evaluations**: Rigorous model evaluations, benchmarking, and red‑teaming to measure and improve AI performance (service)
- **Applied AI**: Full‑stack AI systems that help enterprises and governments build, deploy, and oversee reliable AI (SaaS + consulting)
- **Safety, Evaluation and Alignment Lab**: Research arm focused on LLM alignment and safety (internal R&D; also co‑created the “Humanity's Last Exam” benchmark)
- **Subsidiaries**: Remotasks (computer vision and autonomous vehicle data labeling), Outlier (LLM data annotation)

## Market Standing
- **Valuation**: $29B (as of 2025 – cited on scale.com)
- **Key Metric**: Total Funding – $1.6B (including the $14B Meta investment that acquired a 49% non‑voting stake in June 2025)
- **Notable Investors/Partners**: Meta Platforms (49% owner), with commercial customers including Google, Microsoft, Meta, General Motors, OpenAI, and Time. Also works with U.S. and Qatari governments.
- **Growth Signals**:
  - Headcount: Scale.com cites “1,000+” employees; LinkedIn reports 3,751 employees (+32.1% YoY).
  - 90% of the world’s leading generative AI model builders are powered by Scale.
  - 15 billion human decisions used to train AI models; $1 billion paid to contributors globally.
  - Active job postings: 284+ (as of July 2025), with strong hiring in enterprise engineering, AI agents, and solutions roles.

## Competitive Advantages
- **Data moat**: Scale’s proprietary Data Engine and access to millions of human‑annotated decisions create high‑quality training data that competitors cannot easily replicate.
- **Trust & adoption**: Used by 90% of leading GenAI builders; runs private benchmarks for the most ambitious AI companies.
- **Government credibility**: Direct contracts with the U.S. Department of Defense and international governments (e.g., Qatar) – a high‑barrier entry point.
- **Full‑stack offering**: From raw data annotation to LLM evaluation and end‑to‑end applied AI deployment, Scale covers the entire AI lifecycle.
- **Research leadership**: In‑house Safety, Evaluation and Alignment Lab; co‑creator of the “Humanity's Last Exam” benchmark.

## Strategic Focus
- **Enterprise GenAI agents**: Ramping up “AgentOps” and “Frontier Agents” engineering teams (many open roles in SF, NY, London, Budapest).
- **Healthcare & life sciences**: Hiring dedicated GTM leaders and AI strategists for healthcare vertical.
- **International expansion**: Growing offices in London, Budapest, Mexico City, and Washington DC.
- **Safety and alignment**: Continued investment in red‑teaming, model evaluations, and government‑focused AI safety contracts.

## Why Work Here
- **Mission‑driven**: “Develop reliable AI systems for the world’s most important decisions” – directly shaping frontier AI capabilities.
- **Compensation & benefits**: Comprehensive health, dental, vision, mental health services; generous PTO; annual learning & development stipend; parental leave; ERGs; guest‑friendly offices with happy hours, game nights, book clubs.
- **Engineering culture**: Credos such as “Write the Market,” “Find the 20%,” “Earn Customer Love,” and “Quality is Our Cheat Code” emphasize impact over effort, customer obsession, and structured thinking.
- **Growth trajectory**: Rapid headcount growth (+32%), major Meta investment, and expansion into new verticals signal a company in high‑growth mode.
- **Flexible work**: Offices in SF, NY, London, Budapest, Mexico City, DC; the careers page highlights “flexible environment,” though specific remote/hybrid policy is not explicitly stated.

## Sources
1. [scale.com](https://scale.com/about)
2. [scale.com](https://scale.com/)
3. [scale.com/careers](https://scale.com/careers)
4. [linkedin.com](https://www.linkedin.com/company/scaleai)
5. [greenhouse.io](https://job-boards.greenhouse.io/scaleai)

## Other roles at Scale AI

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- [Software Engineering Intern (Summer 2027)](https://feeny.ai/job/software-engineering-intern-summer-2027-scale-ai-doha-dan4rwykjkwb) — Doha, Qatar
- [Software Engineering Intern (Summer 2027)](https://feeny.ai/job/software-engineering-intern-summer-2027-scale-ai-london-y8rd2n7qqg8w) — London, United Kingdom
- [Software Engineer - New Grad](https://feeny.ai/job/software-engineer-new-grad-scale-ai-london-vzmr2pqdbnxk) — London, United Kingdom
- [Software Engineer - New Grad](https://feeny.ai/job/software-engineer-new-grad-scale-ai-doha-htj4304njmap) — Doha, Qatar
- [Senior Machine Learning Engineer, Public Sector](https://feeny.ai/job/senior-machine-learning-engineer-public-sector-scale-ai-denver-bp9tff13vfs8) — Denver, CO / Honolulu, HI / Washington, DC
- [Staff Full-Stack Software Engineer, (Forward Deployed), GPS](https://feeny.ai/job/staff-full-stack-software-engineer-forward-deployed-gps-scale-ai-riyadh-23wvtk2r2609) — Riyadh, Saudi Arabia
- [Senior Full-Stack Software Engineer, (Forward deployed), GPS](https://feeny.ai/job/senior-full-stack-software-engineer-forward-deployed-gps-scale-ai-riyadh-erdv9vdxa2ej) — Riyadh, Saudi Arabia
- [Director of Product Management, Enterprise Core Platform](https://feeny.ai/job/director-of-product-management-enterprise-core-platform-scale-ai-san-francisco-saj76g63zph3) — San Francisco, CA / New York, NY
- [Engineering Manager, Frontier AI Infrastructure - Public Sector](https://feeny.ai/job/engineering-manager-frontier-ai-infrastructure-public-sector-scale-ai-washington-gbg5965ts49g) — Washington, DC