Team Lead — Enterprise AI

Details

Bloomberg's AI is transforming how investment professionals discover information, run analysis, automate workflows and collaborate across their organizations. ASKB is a conversational interface for Bloomberg Terminal users, enabling interaction with Bloomberg's data, analytics, news and applications in natural language through specialized AI agents grounded in accuracy, transparency and trusted content.

Bloomberg is developing enterprise-grade administration, governance and collaboration capabilities so firms can adopt AI across teams and departments while maintaining security, governance and trust.

Responsibilities

• Own the product vision, overall strategy and roadmap for Bloomberg's enterprise AI solutions, including privacy, capacity management, collaboration and administration.
• Own commercials and pricing strategy end-to-end for the ASKB+, ASKB Teams and ASKB Enterprise tiers, including packaging, pricing and go-to-market.
• Lead, mentor and grow a team of product managers responsible for firm privacy, AI capacity management, team sharing and collaboration, and central firm administration.
• Own enterprise tiering commercials, including capacity as a product and pricing lever, tiered and pooled subscriptions, and the cost, usage and telemetry data behind pricing decisions.
• Develop enterprise administration, governance and privacy capabilities for regulated financial institutions, including admin tooling, user controls, entity-level privacy options, data residency, auditability, capacity management and content governance.
• Define how teams collaborate around AI through shared context, projects, agents, workflows, connectors and firm knowledge, both within firms and with non-Bloomberg users and third-party applications.
• Expand the business into new cohorts, including private credit and insurance.
• Work directly with enterprise clients to understand AI adoption strategies, validate concepts and translate needs into detailed Product Requirement Documents and delivery requirements.
• Define KPIs and adoption metrics, using telemetry and customer insight to guide product direction.
• Communicate product vision, roadmap and commercial performance to senior leadership and build alignment across Product, Engineering, Commercial and Sales.
• Partner across Product, UX, Engineering, Commercial and Sales to deliver solutions that accelerate enterprise AI adoption.

Requirements

• Proven product leadership experience in enterprise software, SaaS or AI platforms, including leading initiatives from concept through launch.
• Experience leading or mentoring product managers.
• Strong experience owning commercials and pricing strategy for enterprise or SaaS products.
• Hands-on experience with AI or LLM-based products or enterprise productivity platforms.
• Solid understanding of enterprise software administration, governance and security.
• Experience setting product vision and strategy across multiple workstreams and maintaining a coherent product direction.
• Experience authoring Product Requirement Documents and managing complex cross-functional roadmaps.
• Strong analytical skills, including the use of telemetry, adoption metrics, and cost and usage data to shape product and pricing direction.
• Outstanding written and verbal communication skills, 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.
• Ability to balance strategic thinking and commercial ownership with detailed execution in a fast-moving environment.

Preferred Qualifications

• 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.

Benefits

Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance and wellness programs.