Technical Product Manager - Real-Time Data Technology

Description & Requirements

• Own the roadmap for products across Bloomberg's Real-Time Technology — from delivery architecture (on-premise, hosted, cloud-native) to APIs, entitlements, monitoring, and platform controls
• Engage directly with clients — quant developers, market data platform teams, cloud architects, front-office technologists — and translate what you learn into prioritization decisions grounded in market trends, incident patterns, commercial models, and technical constraints
• Define how real-time Bloomberg data is consumed across evolving client architectures — from traditional market data platforms to cloud-native applications, analytics systems, and AI-enabled workflows
• Shape requirements with Engineering and clients for high-performance, resilient, and globally scalable data distribution systems
• Drive cross-functional delivery by partnering across Product, Sales, Engineering, and Support to design, position, ship, and continuously improve real-time solutions
• Operate fluently across commercial, technical, and strategic conversations — translating between engineering detail, product strategy, and executive-level narrative as needed
• 5+ years of experience in technical product management, solutions architecture, or software engineering — with a meaningful portion spent on infrastructure, data platforms, or real-time systems that serve external clients
• Working knowledge of capital markets, market data, trading workflows, buy-side or sell-side technology, exchange connectivity, or financial infrastructure, including awareness of the competitive landscape
• Track record of ramping into complex technical domains you did not build and making effective product decisions before you had complete knowledge
• Demonstrated ability to own and drive a product roadmap end-to-end — from identifying the problem through requirements definition, cross-functional delivery, and iteration based on what you learn in production
• Deep working knowledge of distributed systems including reasoning about throughput, latency, business continuity, resilience tradeoffs, and engage in architecture discussions with senior engineers
• Commercial awareness, including experience with pricing considerations, deployment model tradeoffs, contractual constraints, or how product decisions affect adoption and revenue
• A track record of making complex technical products easier for clients and internal teams to adopt — whether through better onboarding, clearer abstractions, developer tooling, or operational simplification
• Hands-on experience with real-time data distribution, messaging middleware, event-driven architectures, ticker plants, market data platforms, or low-latency systems
• Experience with cloud platforms (AWS, Azure, or GCP) combined with a clear perspective on how cloud infrastructure, AI-enabled workflows, or agent-based architectures are changing how enterprises consume and act on data — backed by something concrete (shipped product, internal strategy, published thinking, or direct experience)
• Experience designing or managing API-driven and developer-facing products — you understand what makes an SDK, streaming interface, or platform control plane successful from the perspective of the user or application consuming it