Engineering Manager, Global Public Sector

Reposted 6 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Manage engineering teams to deliver AI-driven applications, oversee product lifecycle, mentor engineers, and collaborate cross-functionally.
Summary Generated by Built In

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

  • Creating custom AI applications that will impact millions of citizens
  • Generating high-quality training data for national LLMs
  • Upskilling and advisory services to spread the impact of AI

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale.

We are looking for a technical and strategic Engineering Manager to lead our Engineering efforts Internationally to power custom applications we build for our public sector clients. 

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.


You will:

  • Manage the engineering team and drive technical delivery.
  • Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
  • Comfortable working cross functionally, whether that be internal or external customers
  • Work across the entire product lifecycle from conceptualization through production
  • Build features end-to-end, system design, debugging and testing
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor engineers.
  • Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Ideally you’d have:

  • At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred
  • Proven success in leading, managing, and developing high-performing Engineering teams
  • Expertise in identifying product engagement patterns and trends for large scale consumer products
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and be able to work independently or as part of a team

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

  • At least 5 years of relevant experience
  • At least 2 years of experience managing backend engineers
  • Expertise in product engagement patterns
  • Proven track record of shipping high-quality products

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Similar Jobs

Citadel Securities Logo Citadel Securities

Crypto Market Feed Handlers Lead

Information Technology • Software • Financial Services • Quantitative Trading
In-Office
2 Locations
1900 Employees
175K-350K Annually

CrowdStrike Logo CrowdStrike

Senior Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
4 Locations
11000 Employees

Cloudflare Logo Cloudflare

Product Manager

Cloud • Information Technology • Security • Software • Cybersecurity
Hybrid
London, Greater London, England, GBR
4400 Employees
141K-189K Annually

CrowdStrike Logo CrowdStrike

Senior Software Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Hybrid
2 Locations
11000 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account