Global Product Manager in London

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The GenAI Product team develops and scales AI-driven solutions that enhance productivity, effectiveness, and decision-making across the firm. As adoption has matured, the team's mandate has shifted from enablement to scale — expanding the capability of the firm's AI portfolio, delivering measurable efficiency gains, governing a rapidly growing set of products, and ensuring these solutions operate seamlessly across platforms. As a Product Manager, Enterprise AI, you will own the full lifecycle of AI products — skills, plugins, agents, and workflows — setting priorities, guiding each from concept to launch, and defining how the portfolio is governed as it scales. You are as comfortable prototyping independently as you are directing a cross-functional engineering team, and you move fluidly between the two. Operating at the intersection of senior leadership, engineering, and the risk and compliance functions, you will bring structure, quality, and rigor to a fast-evolving product line.

Among Your Responsibilities, You Will:

• Own AI products end-to-end — take assets from concept through requirements, build, quality and safety review, and rollout, and ensure they remain effective and continuously improved once live.
• Execute at pace — prototype rapidly using AI-native tooling, then scale with engineering; maintain production-grade products in an environment where the underlying platforms release new capabilities weekly.
• Rationalize and future-proof the portfolio — consolidate overlapping tools and ensure the firm's AI assets remain reusable and portable as new platforms emerge, rather than rebuilding from the ground up.
• Establish governance and the path to release — define how AI products are evaluated and approved, and build the workflows that make risk, legal, privacy, and compliance sign-off scalable and predictable.
• Track usage and demonstrate impact — define the metrics that matter, work within the measurement limits of the underlying platforms, and translate available data into credible, leadership-ready reporting on adoption and value.
• Partner closely with engineering — direct the build, contribute to architecture and tooling decisions, and assess technical feasibility, without needing to write production code yourself.

YOU'RE GOOD AT:

• Owning a product end-to-end and imposing structure where a defined process does not yet exist.
• Moving fast — prototyping independently, iterating with engineering, and maintaining production-grade products without losing quality.
• Scaling a product or portfolio — improving efficiency and impact as volume grows, not only shipping the first version.
• Holding your own in technical discussions with engineers and making defensible architecture and tooling calls.
• Building and sustaining relationships with senior stakeholders, and communicating clearly both above and below.
• Bringing a data-driven approach to decisions and defining the metrics that move a product toward its goals.
• Analyzing tradeoffs across value, cost, effort, and risk — and making the call.
• Calibrating what 'good' looks like for a demanding professional audience and holding that quality bar.

What You'll Bring:

• 5–7 years of relevant experience as a product manager or in a comparable product role.
• Hands-on experience building with Anthropic and/or OpenAI — skills, plugins, agents, or MCP integrations — in a professional or personal context.
• A consulting background, or comparable experience delivering to a senior professional audience, with the judgment to calibrate what 'client-quality' output requires.
• Deep fluency across the modern AI tooling stack — agentic architectures, multi-agent orchestration, LLM routing, human-in-the-loop design, and evals — sufficient to direct engineers, make architecture and model tradeoffs, and evaluate new form factors as they emerge.
• The instinct to build beyond the day job — personal projects, prototypes, or side tools that reflect genuine curiosity and a habit of learning by doing.
• Understanding of agile principles and ways of working; proficiency with JIRA or equivalent tooling.
• Strong communication and stakeholder-management skills.
• Comfort operating in ambiguity and standing up governance where none exists.
• Experience navigating risk, privacy, or compliance review.

Who You'll Work With:

• Senior leadership, who set direction and priorities for the AI portfolio.
• Engineering, data, and platform partners, with whom you coordinate builds and integrations.
• The risk, legal, privacy, and compliance functions that review and approve products for release.