Scale AI

3 months ago

Staff Technical Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead, define and execute the roadmap for Global Defense product areas, combining hands-on technical work with strategic stakeholder engagement across engineers, ML teams, and government partners. You’ll prototype solutions, write specs, and shape AI-powered defense tooling while navigating defense-specific constraints and working as a founding-team member across engineering, operations, and go-to-market.

Location: London, New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
•Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
•Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
•Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
•Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast

Travel: Low travel

Key Requirements

•8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
•Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
•Strong engineering/ML foundation with ability to write specs, prototype solutions, and understand technical architecture
•Ability to engage senior technical and government stakeholders and drive mission-critical outcomes
•Willingness to travel to allied partner nations as needed

Experience:8+ yearsSoftwareMlDefenseGovernment

Education:Master's in Computer Science

Skills:LeadershipStakeholder managementCommunicationProblem-solving

Languages:English

Tech Stack:AIMLSoftware engineeringSystems architecture

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

3 months ago

Staff Technical Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London, New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product roadmap and execution for one or more product areas within Global Defense, driving what gets built and how it ships
•Be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding
•Design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams
•Use customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements
•Navigate the unique constraints of defense product development across allied nations — classification environments, accreditation processes, air-gapped deployments — or be ready to learn these fast

Travel: Low travel

Key Requirements

•8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped
•Technical fluency: software engineering or ML background (master’s degree in computer science or equivalent experience). Experience training or evaluating models is a plus
•Strong engineering/ML foundation with ability to write specs, prototype solutions, and understand technical architecture
•Ability to engage senior technical and government stakeholders and drive mission-critical outcomes
•Willingness to travel to allied partner nations as needed

Experience:8+ yearsSoftwareMlDefenseGovernment

Education:Master's in Computer Science

Skills:LeadershipStakeholder managementCommunicationProblem-solving

Languages:English

Tech Stack:AIMLSoftware engineeringSystems architecture

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn