Product Manager — AI Enterprise Capacity Management in Whitehall

Location: London

Business Area: Product

Ref #: 10053170

Bloomberg's AI is transforming how investment professionals discover information, run analysis, automate workflows and collaborate across their organizations. ASKB has quickly become a primary conversational interface for Bloomberg Terminal users — letting users interact with Bloomberg's data, analytics, news and applications in natural language, powered by specialized AI agents and grounded in three principles: accuracy, transparency and trusted content.

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.

The role involves:

• Owning AI capacity for Bloomberg's enterprise AI offering — how Bloomberg measures, packages and prices the storage and compute (tokens) behind ASKB as AI workflows scale.
• Defining how we measure and package capacity — turning it into a scalable product that grows with usage and gives firms clear, manageable control over what they consume.
• Defining the capacity model, including storage and tokens, desktop allowance versus subscribed enterprise tiers and pooled capacity, and how priority works in ASKB responses.
• Owning how Bloomberg measures, monitors and alerts on consumption at user, workflow and firm level, and the accuracy of the monitoring and forecasting that capacity and pricing decisions depend on.
• Shaping the input data for capacity commercials in partnership with the Enterprise AI Team Lead and Finance — how capacity is packaged and priced and how firms subscribe to and manage additional pooled capacity.
• Working closely with ASKB engineering, Finance and enterprise product and data teams, translating capacity needs into detailed Product Requirement Documents.
• Defining capacity KPIs — utilisation versus allowance, overage and upsell, and subscription revenue from capacity tiers.
• Working directly with enterprise clients to understand how they consume and want to manage AI capacity, and validating the model against real firm behaviour.

You will need to have:

• Strong product management experience within enterprise software, SaaS or AI enterprise platforms, including leading initiatives from concept through launch.
• Experience with usage-based, consumption or capacity-based products — metering, tiering, quotas or pooled entitlement models.
• Hands-on experience with AI / LLM-based products or infrastructure, with an understanding of tokens, compute and storage as cost drivers.
• Strong analytical and quantitative skills — comfortable modelling cost, consumption and unit economics from telemetry.
• A solid understanding of enterprise software administration, governance and entitlements.
• Experience authoring Product Requirement Documents and managing cross-functional roadmaps.
• Outstanding written and verbal communication, with the ability to influence stakeholders across Product, Engineering, Finance and Sales.

We'd love to see:

• Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
• Experience pricing or metering AI / LLM usage and token-based cost models.
• Familiarity with SaaS commercial models — usage-based pricing, pooled entitlements, overage and tiering.
• Experience building metering, billing or capacity-management systems.
• Financial-modelling and unit-economics fluency.
• 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.