Technical Product Manager - AI Ready Data

USD 140,000-295,000 per year

MIDDLE

✅ On-site

Tech Stack
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.

AI @ 3 AWS @ 3 Agentic AI Azure @ 3 Communication @ 3 Data Science @ 3 Design Patterns GCP @ 3 GenAI @ 3 Generative AI LLM MLOps @ 2 Machine Learning @ 3 Product Management @ 5

Develop a long-term technical strategy, roadmap, framework, and design patterns for delivering data to generative AI systems
Build the next generation of financial data products for agentic AI solutions
Partner closely with product and engineering teams to deliver the defined business outcomes
Interact with customers to understand their workflows and technical requirements, and develop a deep understanding of an ideal solution
Foster a culture of collaboration with Engineering and UX counterparts
Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively
Take initiative, be proactive, innovate, advocate, understand business priorities, and do what’s best for Bloomberg
Define an effective go-to-market strategy

5+ years of experience in technical product management
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, AI toolkits
Organizational and communication skills to coordinate with engineers, subject matter experts, other product managers, and senior management
A product-driven focus and track record of shaping business strategy and roadmaps for technical products
Experience working with customers to identify and understand use cases and problems to solve

A degree in Computer Science, Engineering, Data Science, HCI, AI, or a 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 public cloud providers such as AWS, GCP, or Azure
Working knowledge of capital markets data, market structure, or buy-side/sell-side workflows