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BXTI, Technical Product Manager, Data, Cloud and Developer Experience - AVP
Blackstone
London, GBR
Full-time
Mid · 4+ years experience
Onsite
Discovered 1 weeks ago
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Role Overview
As a Product Manager (AVP) on the AI Platform team, you will own core enterprise AI platform capabilities that make the platform secure, scalable, and extensible. You'll focus on the governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability to translate complex platform requirements into elegant, self-service product experiences for builders across the firm.
Key Skills for This Role
AWSAzureLLM GatewayMCP GatewayCopilotAWS Bedrock
Full Job Posting
About the Role
As a Product Manager (AVP) on the AI Platform team, you will own core enterprise AI platform capabilities that make the platform secure, scalable, and extensible. You'll focus on the governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability to translate complex platform requirements into elegant, self-service product experiences for builders across the firm.
Key Responsibilities
- Own the roadmap for core platform capabilities including the LLM and tool (MCP) gateways, web search access, audit logging, access controls, and integration of approved AWS and Azure AI services.
- Develop and maintain the builder experience end to end — onboarding new agent and workload builders, managing existing workloads, and enforcing platform policies.
- Build features that give leadership and security teams visibility into and control over AI platform usage, including cost attribution, chargeback, and usage governance.
- Partner with engineering to deliver scalable, secure architecture that meets Blackstone's enterprise and regulatory requirements.
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