Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
GCP @ 3
Distributed Systems @ 3
AWS @ 3
Azure @ 3
Prioritization @ 3
Product Management @ 5
API @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg's Enterprise Data department delivers market data products trusted by the world's largest capital markets firms. Within this organization, the Real-Time Technology team powers the distribution of live market data from 300+ exchanges and 5,000+ contributors to the most demanding financial institutions globally. The role sits at the intersection of real-time data, distributed systems, cloud infrastructure, APIs, and developer experience, owning product capabilities that operate at global scale and are critical to trading desks, risk systems, and enterprise infrastructure.
Responsibilities
- 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 client needs 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 across commercial, technical, and strategic conversations — translating between engineering detail, product strategy, and executive-level narrative as needed.
Requirements
- 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 quickly and making effective product decisions without complete knowledge.
- Demonstrated ability to own and drive a product roadmap end-to-end — from problem identification through requirements definition, cross-functional delivery, and iteration based on production learning.
- Deep working knowledge of distributed systems including reasoning about throughput, latency, business continuity, and resilience tradeoffs; able to engage in architecture discussions with senior engineers.
- Commercial awareness, including experience with pricing considerations, deployment model tradeoffs, contractual constraints, and understanding how product decisions affect adoption and revenue.
Preferred / Nice to Have
- Experience making complex technical products easier for clients and internal teams to adopt 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) and perspective on how cloud infrastructure, AI-enabled workflows, or agent-based architectures are changing enterprise data consumption (supported by shipped product, internal strategy, published thinking, or direct experience).
- Experience designing or managing API-driven and developer-facing products — understanding what makes an SDK, streaming interface, or control plane successful for users/applications consuming it.
Benefits
- Salary Range: 140,000 - 295,000 USD Annual + Benefits + Bonus
- Bloomberg offers a comprehensive benefits plan which may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs. (Company does not provide benefits directly to contingent workers/contractors and interns.)