Global Product Manager

Overview

In this role you lead the end-to-end lifecycle of enterprise AI products within BCG’s GenAI portfolio, from concept through launch and ongoing improvement. You’ll balance rapid prototyping with production-grade delivery, govern asset reuse across evolving platforms, and collaborate across engineering, risk/compliance, and leadership to deliver measurable impact. The position offers a chance to shape a growing portfolio in a high-autonomy, data-driven environment and to influence governance as AI capabilities scale.

Responsibilities

• Own AI products end-to-end from concept to rollout and ongoing improvements
• Prototype rapidly with AI-native tooling and scale with engineering while maintaining production-grade quality
• Rationalize and future-proof the portfolio by consolidating tools and ensuring reuse across platforms
• Establish governance and scalable release workflows (risk, legal, privacy, compliance)
• Track usage and quantify impact, delivering leadership-ready adoption metrics
• Collaborate closely with engineering on architecture, tooling decisions, and feasibility to avoid writing production code

Key requirements

• 5–7 years of product management or equivalent product role
• Hands-on experience with Anthropic and/or OpenAI (skills, plugins, agents, or MCP integrations)
• Consulting background or experience delivering to senior professional audiences
• Deep fluency in modern AI tooling (agent architectures, multi-agent orchestration, LLM routing, human-in-the-loop, evals)
• Ability to build beyond day-to-day work (personal projects, prototypes)
• Understanding of agile principles and tooling (JIRA)
• Strong communication and stakeholder-management skills
• Comfort with ambiguity and establishing governance where none exists
• Experience navigating risk, privacy, or compliance review

• stakeholder-management
• clear and concise communication
• ability to work in ambiguity
• Anthropic and/or OpenAI platforms (skills, plugins, agents, MCP integrations)
• AI tooling stack (agentic architectures, multi-agent orchestration, LLM routing)
• human-in-the-loop design and evals

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