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.
Leadership @ 4
Product Management @ 7
Design Patterns @ 4
Generative AI @ 4
AI @ 4
Agentic AI @ 4
GenAI @ 7
- 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 Data License Plus to support AI‑driven and agentic client workflows. This role leads a team of Technical Product Managers to define and execute the vision for integrating Bloomberg's financial data into client agentic AI workflows, owning end-to-end client experience and co-owning the roadmap for Data Solutions for Agentic AI. The role requires balancing deep technical understanding with strong business judgement while working closely with Product, Engineering, and other partners in a cross-functional environment.
Responsibilities
- Develop a long-term technical strategy, roadmap, framework and design patterns for delivering data to generative AI systems.
- Lead and develop a team of product managers, raising the bar on product thinking, execution, and accountability.
- Build the next generation of financial data products for agentic AI solutions.
- Partner closely with product and engineering teams to deliver defined business outcomes.
- Interact with customers to understand their workflows and technical requirements, and develop a deep understanding of an ideal solution.
- Prioritize, plan, make decisions, ask the right questions, and manage resources effectively.
- Take initiative, be proactive, innovate, advocate, and align priorities with the business.
- Evaluate and respond to the rapid pace of innovation in the industry.
- Communicate strategy, progress, and risks effectively to senior leadership.
Requirements
- 7+ years of product management experience, including 3+ years of leadership of teams.
- Proven experience operating within complex, cross-functional environments involving Product, Engineering, and Data organizations.
- Experience working with developer teams and building AI or other data-intensive applications.
- 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.
- Bachelor’s degree or equivalent practical experience.
Preferred
- Strong technical experience with emerging GenAI standards and protocols such as MCP or A2A.
- Working knowledge of capital markets data, market structure, or buy‑side/sell‑side workflows.
Benefits
Salary Range: 180,000 - 350,000 USD Annual + Benefits + Bonus
The company offers a comprehensive benefits plan that 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. The Company does not provide benefits directly to contingent workers/contractors and interns.