Senior Product Manager – AI
| Company | Bloomberg Industry Group |
|---|---|
| Location | Arlington, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years building and shipping successful technology-powered products as either a product manager, product designer, product delivery manager, engineer, data analyst, data scientist, or user researcher OR as a subject matter expert with product or technical proficiency
- Demonstrated understanding of the techniques and methods of modern product discovery and product delivery
- Experience driving product vision, building product roadmaps aligned with business goals, and defining and owning KPIs
- Experience with testing, product metrics and data-driven decision-making
- Experience designing and delivering impactful demos/prototypes to showcase vision to stakeholders
- Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data informed, written narrative
- Strong communication skills and emotional intelligence
- Proven ability to engage with engineers, designers, stakeholders, and company leaders in a constructive and collaborative relationship
- Willingness to travel to other Bloomberg offices as needed
Responsibilities
- Combine deep user empathy with technical expertise in AI to ensure our users can find the most relevant and trustworthy information, and engage in their workflows, quickly and reliably
- Own the strategy, development, and performance of AI-powered experiences across our platforms
- Translate complex technical concepts into business value for stakeholders
- Develop and execute product roadmaps aligned with business goals and user needs
- Lead cross-functional teams including engineering, data science, design, marketing, and legal to deliver high-impact AI-powered solutions
- Collaborate with data scientists and engineers on the development and deployment of models (e.g., classification, NLP, LLMs, personalization, etc.)
- Define, measure, and optimize relevant metrics over time
- Conduct testing and leverage data-driven decision-making to continually improve our capabilities
- Navigate AI product risks (e.g., bias, fairness, explainability, privacy)
Preferred Qualifications
-
No preferred qualifications provided.