Used Tools & Technologies
LLMRequired 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
Machine Learning @ 3
MLOps @ 2
Data Science @ 3
AWS @ 3
Azure @ 3
Communication @ 6
Product Management @ 5
Design Patterns @ 3
Generative AI @ 3
AI @ 3
Agentic AI @ 3
GenAI @ 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
The Bloomberg Enterprise Data business is expanding its Data License Plus platform to support AI-driven and agentic client workflows. This role is focused on defining and executing the vision for integrating Bloomberg's next-generation data platform into client agentic workflows, owning end-to-end client experience, and co-owning the roadmap for Data Solutions for Agentic AI.
Responsibilities
- Develop a long-term technical strategy, roadmap, framework, and design patterns for delivering data to generative AI systems.
- Partner closely with product and engineering teams to deliver defined business outcomes.
- Interact with customers to understand workflows and technical requirements and develop an ideal solution.
- Foster collaboration with Engineering and UX counterparts.
- Prioritize, plan, make decisions, and manage resources effectively.
- Take initiative, be proactive, innovate, advocate, and align with Bloomberg priorities.
- Define an effective go-to-market strategy.
Requirements
- 5+ years of experience in technical product management or a technical role with a heavy product development focus.
- Experience working with developer teams and building AI or other data-intensive applications.
- Experience with emerging GenAI standards and protocols such as MCP or A2A.
- Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, and AI toolkits.
- Strong organizational and communication skills to coordinate with engineers, subject matter experts, other product managers, and senior management.
- Product-driven focus and a track record of shaping business strategy and roadmaps for technical products.
Nice to Have / Preferred
- Degree in Computer Science, Engineering, Data Science, HCI, AI, or similar field of study, or equivalent work experience.
- Applied experience with machine learning systems and large language models, including operational and scaling requirements.
- Experience with distributed systems and public cloud providers such as AWS, GCP, or Azure.
- Working knowledge of capital markets data, market structure, or buy-side/sell-side workflows.
Benefits
- Salary Range: 140000 - 295000 USD Annually + Benefits + Bonus.
- Comprehensive benefits package (medical, dental, vision, disability, 401(k) + match, life insurance, paid time off/holidays, wellness programs, and others).