HackerOne

1 month ago

Senior Manager, AI Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead AI-powered product surfaces, including an AI-native intelligence dashboard and a payments/monetization engine. Build and mentor multiple AI engineering teams, set technical direction, and deliver customer-visible impact with data-driven, AI-first software at scale.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently.
•Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact.
•Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate products.
•Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats while maintaining clarity, momentum, and team health.
•Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions rather than short-term workarounds.

Pay and Benefits

Salary: USD 240,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceLife InsuranceDisability InsuranceEquityRetirementPaid LeaveParantal LeaveCaregiver LeaveEmployee Assistance

Key Requirements

•5+ years of experience managing product engineering teams, including teams delivering AI-powered or data-intensive systems.
•Demonstrated experience leading teams with complex dependencies across engineering, product, and non-technical partners.
•Experience developing and mentoring Engineering Managers.
•Strong technical foundation in modern software systems that support AI-enabled products.
•Experience leading AI engineering teams and shipping AI-powered capabilities.

Experience:5+ years

Skills:LeadershipMentoringCollaborationCommunicationStrategic thinking

Tech Stack:PostgreSQLRailsGraphQLApolloReact

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HackerOne

Provides a platform for coordinated vulnerability disclosure, bug bounty programs, and continuous threat exposure management by connecting organizations with a global community of security researchers to find and remediate software, cloud, and AI vulnerabilities.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.9

Website LinkedIn Glassdoor

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HackerOne

1 month ago

Senior Manager, AI Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently.
•Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact.
•Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate products.
•Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats while maintaining clarity, momentum, and team health.
•Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions rather than short-term workarounds.

Pay and Benefits

Salary: USD 240,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceLife InsuranceDisability InsuranceEquityRetirementPaid LeaveParantal LeaveCaregiver LeaveEmployee Assistance

Key Requirements

•5+ years of experience managing product engineering teams, including teams delivering AI-powered or data-intensive systems.
•Demonstrated experience leading teams with complex dependencies across engineering, product, and non-technical partners.
•Experience developing and mentoring Engineering Managers.
•Strong technical foundation in modern software systems that support AI-enabled products.
•Experience leading AI engineering teams and shipping AI-powered capabilities.

Experience:5+ years

Skills:LeadershipMentoringCollaborationCommunicationStrategic thinking

Tech Stack:PostgreSQLRailsGraphQLApolloReact

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HackerOne

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.9

Website LinkedIn Glassdoor