Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office London, GBR P[...]

Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office

Location

London

Business Area

Engineering and CTO

Ref #

Description & Requirements

Bloomberg’s CTO Office is the future‑looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI platforms, cloud infrastructure, open‑source stewardship, and generative AI innovation.

For over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly build, deploy, evaluate, govern, and operate AI systems at scale.

As Bloomberg expands its investment in Generative and Agentic AI, we are building the trustworthy infrastructure that will power the next generation of intelligent products across Terminal, Enterprise, and client‑facing experiences.

What’s In It For You

We are looking for a Technical Product Manager to define and execute the strategy for our Agentic Infrastructure, the connective tissue and foundational layer that enables AI agents, tools, and applications to operate safely, securely, and at scale across Bloomberg.

This role sits at the intersection of our AI Platforms, cloud infrastructure, security, and distributed systems. You will shape the capabilities that govern how AI systems authenticate, communicate, access resources, execute actions, and interact with Bloomberg infrastructure, ensuring that as we scale agentic systems, we do so with trust, reliability, and enterprise‑grade governance by design. You will partner closely with Engineering, Product, Security, CTO, and Risk stakeholders to build an interoperable control plane, establishing a trustworthy foundation for the next generation of AI‑powered products.

Why This Matters

Agentic systems introduce new infrastructure challenges beyond traditional software and machine learning platforms. As AI systems become capable of autonomous action, tool use, multi‑agent collaboration, and long‑running workflows, organizations require new infrastructure for identity, authorization, execution environments, networking, governance, observability, and lifecycle management.

We’ll trust you to

• Define and drive the vision for Bloomberg’s Agentic Infrastructure, with a focus on agentic control planes
• Translate emerging open source & industry standards into production‑ready, enterprise‑grade infrastructure capabilities
• Collaborate across Bloomberg’s AI platform teams to integrate agentic capabilities that support experimentation and production deployment
• Develop platform strategies for agentic identity, access control, sandboxing, network, and connectivity architecture
• Work directly with AI product teams to understand real‑world usage and ensure infrastructure solutions support and advance the AI application lifecycle
• Partner deeply with engineering to deliver scalable, resilient system architecture
• Anticipate how agentic systems will evolve, and proactively shape the roadmap to support future capabilities

You’ll Need to Have

• 5+ years of experience in technical product management, ideally within AI, platform, cloud, security, or infrastructure domains
• Experience working with AI or GenAI systems, with LLMs, generative AI, agent frameworks and orchestration systems, and their production requirements
• Experience building or operating large‑scale platform infrastructure used by internal or external developers
• Strong understanding of identity, authentication/authorization, enterprise security architectures
• Strong understanding of distributed systems, service‑to‑service communication, API Gateways, Kubernetes, cloud‑native architectures
• Hands‑on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns
• Proven ability to work cross‑functionally with engineering, security, product, and platform organizations
• Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams

We’d Love to See

• A degree in Computer Science, Engineering, or prior equivalent architecture experience
• Experience building control planes, policy engines, governance frameworks
• Exposure to enterprise governance, compliance, or regulated environments
• Contributions to open source or developer ecosystems

Why Join Us

You will play a pivotal role in shaping Bloomberg’s AI future by building the infrastructure foundations that enable trusted, scalable, and production‑ready AI systems. This is an opportunity to help define how agentic systems operate at enterprise scale, influencing platform strategy across identity, security, networking, governance, cloud infrastructure, and interoperability.

You will work alongside world‑class engineers, architects, researchers, and product leaders while helping establish the trusted infrastructure foundation that powers Bloomberg’s next generation of AI innovation.

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

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