Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Communication @ 5
LLM @ 3
Product Management @ 6
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg is expanding its enterprise AI offering with administration, governance and collaboration capabilities that help firms adopt AI across teams while maintaining security, governance and trust. This role owns AI capacity for the enterprise AI offering, including storage and compute tokens behind ASKB, capacity measurement, packaging, pricing, metering and monitoring.
Responsibilities
- Own the capacity model for Bloomberg's enterprise AI, including storage and tokens, desktop allowances, enterprise tiers, pooled capacity and capacity priority in ASKB responses.
- Define how firms buy, share and manage capacity across their users.
- Define metering, monitoring and alerting for consumption at user, workflow and firm levels.
- Own the accuracy of capacity monitoring and forecasting.
- Own decision data for capacity and tiered pricing, including cost per user, workflow category, token constraints and schedule constraints.
- Shape capacity packaging and pricing inputs in partnership with the Enterprise AI Team Lead and Finance.
- Define how firms subscribe to and manage additional pooled capacity within the broader enterprise commercial model.
- Translate capacity needs into detailed Product Requirement Documents for ASKB engineering and metering teams.
- Partner with the central administration tooling workstream so firm administrators can view and manage consumption.
- Define capacity KPIs, including utilisation versus allowance, overage, upsell and subscription revenue from capacity tiers.
- Use telemetry to guide product direction.
- Work directly with enterprise clients to understand their AI capacity usage and validate the model against real firm behaviour.
- Manage cross-functional roadmaps and collaborate with ASKB engineering, Finance, enterprise product and data teams.
Requirements
- Strong product management experience in enterprise software, SaaS or AI enterprise platforms, including leading initiatives from concept through launch.
- Experience with usage-based, consumption-based or capacity-based products, including metering, tiering, quotas or pooled entitlement models.
- Hands-on experience with AI or LLM-based products or infrastructure, with an understanding of tokens, compute and storage as cost drivers.
- Strong analytical and quantitative skills, including cost, consumption and unit-economics modelling from telemetry.
- Understanding of enterprise software administration, governance and entitlements.
- Experience authoring Product Requirement Documents and managing cross-functional roadmaps.
- Ability to partner with commercial and finance stakeholders on packaging and pricing while owning the underlying product.
- Outstanding written and verbal communication skills, with the ability to influence stakeholders across Product, Engineering, Finance and Sales.
Preferred Qualifications
- Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
- Experience pricing or metering AI or LLM usage and token-based cost models.
- Familiarity with SaaS commercial models, including usage-based pricing, pooled entitlements, overage and tiering.
- Experience building metering, billing or capacity-management systems.
- Financial-modelling and unit-economics fluency.
- Knowledge of financial markets and how regulated institutions evaluate technology.
Benefits
Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental and vision coverage, short- and long-term disability benefits, 401(k) matching, life insurance and wellness programs.
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