Product Manager — AI Enterprise Capacity Management

Bloomberg•New York, NY

5d•$140,000 - $295,000•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Define the capacity model. Own capacity — storage and tokens — and how it's structured: the desktop allowance versus subscribed enterprise tiers and pooled capacity, and how priority works in ASKB responses. Decide how firms buy, share and manage capacity across their users.
Meter, monitor and forecast. Own 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.
Power the inputs for commercials. Own the capacity product's inputs to pricing and packaging — cost per user, workflow category, token and schedule constraints — and, in partnership with the Enterprise AI Team Lead and Finance, shape how capacity is packaged and how firms subscribe to and manage additional pooled capacity, within the broader enterprise commercial model.
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.
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.