Team Lead — Enterprise AI in London

As firms increasingly look to deploy AI at an enterprise level, Bloomberg is bringing enterprise-grade administration, governance and collaboration to its AI capabilities — so firms can adopt AI across teams and departments while maintaining security, governance and trust. This is one of Bloomberg's most exciting product areas, combining AI, enterprise software and workflow transformation.

We're seeking an experienced product leader to build Bloomberg's enterprise AI business across privacy, capacity management, team sharing/collaboration with firm level data and firm level admin and access controls. As Team Lead for Enterprise AI, you'll own the product vision, overall strategy, commercials and pricing for how firms adopt, govern and scale AI across their organizations — and you'll lead and grow a team of product managers who deliver the capabilities that make firm-level AI adoption possible: firm privacy, AI capacity management, team sharing and collaboration, and central firm administration.

You'll be the single leader accountable for turning a per-seat assistant into a firm-wide AI platform — setting direction, holding the pillars together as one coherent product, owning the commercial model, and expanding the business into new cohorts such as research, private credit and insurance. You'll represent the product to senior leadership and enterprise clients, and be measured on the firms won, revenue and firm-wide adoption it delivers.

Own the business. As the team leader of Bloomberg's enterprise AI product, you'll set the vision and strategy, own commercials and pricing end-to-end, and be accountable for the P&L levers behind it — building a commercial model that lets regulated firms adopt ASKB at scale across ASKB+, ASKB Teams and ASKB Enterprise, consistent with Bloomberg's other enterprise products.

Lead the team. You'll lead, mentor and grow a team of product managers, each owning part of the enterprise offering — the privacy controls firms need to say yes, the capacity model and pricing that scale with AI usage, the sharing and collaboration that turn per-seat AI into a firm-wide platform, and the central admin tooling that lets a firm onboard and govern it. You'll hold these to one product vision, set priorities across them, and unblock delivery so they ship in parallel rather than one at a time.

You'll work directly with clients to understand how firms want to deploy AI, translate those needs into detailed Product Requirement Documents and delivery requirements, and partner across Product, UX, Engineering, Commercial and Sales to deliver solutions that accelerate adoption.

We'll trust you to:

• Own the product vision, overall strategy and roadmap for Bloomberg's enterprise AI solutions, holding privacy, capacity, collaboration and administration together as one coherent enterprise product.
• Own commercials and pricing strategy end-to-end — packaging, pricing and go-to-market for the enterprise AI tiers (ASKB+, ASKB Teams, ASKB Enterprise), consistent with Bloomberg's other enterprise products, and be accountable for the revenue it drives.
• Lead, mentor and grow the team of product managers responsible for firm privacy, AI capacity management, team sharing and collaboration, and central firm administration — setting direction, prioritising across the pillars and unblocking delivery.
• Own the enterprise tiering commercials — capacity as both a product and a pricing lever, tiered and pooled subscriptions, and the cost, usage and telemetry data behind every pricing decision.
• Develop the enterprise administration, governance and privacy capabilities regulated financial institutions require — admin tooling, user controls, entity-level privacy options, data residency, auditability, capacity management and content governance.
• Define how teams collaborate around AI — shared context, projects, agents, workflows, connectors and firm knowledge, both inside the firm and outward to non-Bloomberg users and third-party applications.
• Grow the business into new cohorts — expand beyond research into adjacent front-office segments such as private credit and insurance.
• Work directly with enterprise clients to understand AI adoption strategies, validate concepts, and translate needs into detailed PRDs and requirements for delivery teams.
• Define KPIs and adoption metrics for Bloomberg's enterprise AI offerings, using telemetry and customer insight to shape direction.
• Communicate product vision, roadmap and commercial performance to senior leadership, building alignment across Product, Engineering, Commercial and Sales.

You'll need to have:

• Proven product leadership experience within enterprise software, SaaS or AI platforms, including leading initiatives from concept through launch — and, ideally, leading or mentoring other product managers.
• Strong experience owning commercials and pricing strategy for enterprise or SaaS products.
• Hands-on experience with AI / LLM-based products or enterprise productivity platforms.
• A solid understanding of enterprise software administration, governance and security.
• Experience setting product vision and strategy across multiple workstreams and holding them to a coherent whole.
• Experience authoring Product Requirement Documents and managing complex cross-functional roadmaps.
• Strong analytical skills — using telemetry, adoption metrics, and cost and usage data to shape product and pricing direction.
• Outstanding written and verbal communication, with the ability to influence senior stakeholders across Product, Engineering, Sales and Executive Management.
• Experience working directly with enterprise clients to define product strategy and validate solutions.
• The ability to balance strategic thinking and commercial ownership with detailed execution in a fast-moving environment.

We'd love to see:

• Experience leading a product team or owning a product line end-to-end, including its commercials.
• Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
• Experience building enterprise AI and collaboration solutions.
• Familiarity with SaaS commercial models, including usage-based or capacity-based pricing.
• Experience with enterprise identity, governance or administration platforms.
• Knowledge of enterprise integrations — APIs, connectors, SharePoint, Snowflake, Databricks or MCP frameworks.
• Domain fluency in financial markets and how regulated institutions evaluate technology.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

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