Jobs in Gateshead, United Kingdom

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward‑thinking companies that want to build trust and resilience in a world where AI‑driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best‑in‑class AI‑powered platform, trusted by the world’s top organizations.

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of London. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in‑person moments that enrich our culture – while still preserving the benefits of remote work.

HackerOne is seeking an Engineering Manager who can lead teams to build high‑impact, customer‑focused products with an AI‑first mindset. You’ll guide engineers in delivering reliable, scalable solutions, champion the adoption of AI across the product and engineering lifecycle, and help shape the future of our platform.

• Lead an engineering team delivering high‑quality products customers love, including managing senior and staff‑level AI engineers working on advanced LLM, agentic, and AI‑platform capabilities.

• Drive an AI‑first approach across product development and engineering workflows, ensuring the team can design, evaluate, and ship complex AI features such as agentic systems, RAG pipelines, model evaluation frameworks, and automated security intelligence.

• Partner with Product and Design to define goals, scope, and success metrics.

• Ensure strong execution practices and predictable delivery.

• Set clear performance expectations for engineers working on sophisticated AI systems, including LLM reasoning, AI safety, agentic patterns, MLOps, and model‑serving infrastructure, and hold the team to a high standard.

• Coach engineers effectively, support career growth, and raise the talent bar by developing and hiring individuals capable of delivering at Senior AI Engineer level and beyond.

• Hire and onboard engineers who bring strong product and AI capabilities.

• Contribute to org‑wide engineering improvements and AI adoption standards.

• 3+ years of experience managing engineering teams and driving high‑quality delivery.

• Prior hands‑on experience as a software engineer; comfortable engaging deeply with engineers working on LLMs, agentic systems, and AI platform infrastructure.

• Demonstrated AI‑First experience—building or overseeing AI‑driven features, agentic workflows, or ML‑powered systems.

• A track record of using Data‑Driven Decision Making to guide prioritization, trade‑offs, and performance assessment.

• Ability to apply and model First‑Principles Problem Solving when unblocking teams or evaluating complex technical decisions.

• Strong Change Agility, with experience leading teams through evolving requirements, fast‑moving AI capabilities, or shifting product strategy.

• Excellent communication and cross‑functional collaboration skills.

• Based in London (or within 50 miles of London).

£115K – £130K (offers Equity)

• Health (medical, vision, dental), life, and disability insurance*
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program
• Flexible Work Stipend

*Eligibility may differ by country

We’re committed to building a global team! For certain roles outside the United States, India, the United Kingdom, and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa/work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.