Product Manager — AI Enterprise Capacity Management

You'll work closely with ASKB engineering, Finance and enterprise product and data teams, translate capacity needs into detailed Product Requirement Documents, and partner with the central admin workstream so firm admins can see and manage what they consume.

We'll trust you to

• Own the capacity model for Bloomberg's enterprise AI — storage and tokens, the desktop allowance, enterprise tiers, the pooled-capacity model, and how capacity priority works in ASKB responses.
• Define metering, monitoring and alerting on consumption at user, workflow and firm level, and own the accuracy of capacity monitoring and forecasting.
• Own the decision data behind capacity and tiered pricing — cost per user, workflow category, token and schedule constraints — and turn it into clear packaging and pricing recommendations.
• Shape 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 — consistent with the broader enterprise commercial model.
• Translate capacity needs into detailed PRDs and requirements for ASKB engineering and metering teams.
• Surface capacity controls and usage visibility to firm admins, partnering with the central admin tooling workstream so firms can manage what they consume.
• Define capacity KPIs — utilisation versus allowance, overage and upsell, and subscription revenue from capacity tiers — and use telemetry to shape direction.
• Work directly with enterprise clients to understand how they consume and want to manage AI capacity, and validate the model against real firm behaviour.

You'll 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.
• The ability to partner with commercial and finance stakeholders on packaging and pricing while owning the underlying product.
• 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.

Discover what makes Bloomberg unique - watch our video for an inside look at our culture, values, and the people behind our success.