Technical Product Manager (Safeguarded AI)

HASH; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

HASH is seeking a Technical Product Manager for Safeguarded AI in London. This mid-senior role involves managing the product lifecycle of a web application facilitating AI-driven modeling and simulation. Responsibilities include roadmap development, project management, and collaboration with external research teams to ensure successful product delivery. The ideal candidate will possess significant experience in technical product management and a solid grasp of web technologies.

Qualifications

• Significant experience in technical product management or adjacent roles for complex B2B products.
• Solid understanding of modern web technology stacks.
• Ability to engage confidently with technical experts.

Responsibilities

• Own end-to-end product lifecycle for the 'Safeguarded AI' application.
• Drive strategy and product roadmaps in collaboration with engineering and design teams.
• Define KPIs and measure project impact post-launch.

Skills

Technical product management

Web tech stacks

Communication

Job description

Technical Product Manager (Safeguarded AI)

Technical Product Manager (Safeguarded AI)

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Responsibilities

As ourTechnical Product Manager for Safeguarded AIyou'll be working onNovel AI & World Modeling Interfaces, and will own the end-to-end product lifecycle of the user-facing “Safeguarded AI” web application, which allows users to model real-world processes using a variety of approaches, define optimization goals and safety requirements, and ultimately train an AI model to safely control them. You’ll drive strategy, craft roadmaps, and orchestrate the work of senior frontend engineers, UI designers, and UX researchers — while also collaborating with external AI research teams and mathematicians to fold their breakthroughs into a cohesive user experience, as part of anAdvanced Research + Invention Agencyfunded project.

In this role, you'll:

• Develop a roadmapfor AI-assisted world modeling, simulation, and collaboration tools — grounded in user insight and research, accounting for complex interdependencies with external workstreams and forecast advances in AI
• Own project management & timeline, responsible for the ultimate successful delivery of the project – in conjunction with your peers at external partner labs, including the PM for the backend, and the leads on the underpinning mathematical theory and Machine Learning research
• Translate internal and external research into product specs: distil technical mathematical theory into clear user value and product requirements
• Prioritise ruthlesslyacross discovery, design, and delivery; maintain a transparent backlog and ship iteratively
• Facilitate cross-functional rituals— stand-ups, design crits, roadmap reviews — keeping engineering and design in tight sync
• Own success metrics: define KPIs, partner with data and UX research to measure impact, pivot when needed
• Represent the product externally: demo prototypes to partner labs, work alongside the Safeguarded AI Programme Office, gather feedback at workshops and conferences, and nurture joint research initiatives
• Champion accessibility and ethical AIacross every feature we ship

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Requirements

Must-have experience:

• Significant experience in technical product management or adjacent roles (engineering, applied research) for complex B2B or platform products
• Solid understanding of modern web tech stacks
• Proven track record shipping zero-to-one or highly-technical products on time and within scope
• Ability to pick up technical language in a new domain and engage confidently and productively with experts
• Excellent communication—written, verbal, and visual; you bridge the language gap between researchers, engineers, and executives
• Comfortable with async collaboration and documentation-heavy cultures

Nice-to-have experience:

• Hands-on experience in HCI, data visualization, or simulation tools
• Demonstrable interest in novel AI UX design, and human-computer interaction
• Mathematical background, aptitude or interest (many product requirements will be translated from mathematical theory)
• Familiarity with the machine-learning research pipeline; you can read an arXiv paper and spot product potential
• Active network in academic AI labs or open-source ML communities

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  Technology, Information and Internet

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