Team Lead — Enterprise AI

Overview

In this role you lead Bloomberg’s enterprise AI product, shaping the vision, strategy and commercial model to scale firm-wide AI adoption. You’ll manage a team of product managers responsible for privacy, capacity, collaboration and central administration, turning per-seat capabilities into a platform used across firms. You partner with enterprise clients and internal partners to drive governance, security and adoption, delivering measurable impact across pricing and KPIs. This is a high-visibility leadership role at the intersection of AI, enterprise software and governance.

Responsibilities

• Own the enterprise AI product vision, strategy and roadmap across privacy, capacity, collaboration and administration.
• Manage commercials and pricing end-to-end for enterprise tiers (ASKB+, ASKB Teams, ASKB Enterprise) and drive revenue.
• Lead and grow a team of product managers responsible for distinct pillars, aligning them to a single product vision.
• Define pricing leverage and capacity-based commercial models with telemetry and usage data.
• Develop admin tooling and governance features required by regulated financial institutions.
• Define how teams collaborate around AI, including context, projects, agents, workflows and integrations.
• Expand into new cohorts (e.g., research, private credit, insurance) and validate adoption strategies with clients.
• Define KPIs and adoption metrics and communicate performance to leadership.

Key requirements

• Proven product leadership in enterprise software, SaaS or AI platforms, including leading concepts through launch.
• Experience owning commercials and pricing strategy for enterprise/SaaS products.
• Hands-on experience with AI/LLM-based products or enterprise productivity platforms.
• Strong understanding of enterprise software administration, governance and security.
• Experience setting product vision across multiple workstreams and managing cross-functional roadmaps.
• Experience authoring Product Requirement Documents (PRDs) and coordinating complex roadmaps.

• Strong communication, especially with senior stakeholders
• Mentorship and people leadership
• Analytical mindset using telemetry and usage data
• AI/LLM-based products
• Enterprise/product governance and security
• Telemetry and adoption metrics

…