AI Technical Product Manager Full-time

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology – quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team:

Data AI contributes to the building of Bloomberg’s AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data’s role in providing robust domain expertise and influential data artifacts to Bloomberg’s products. This way, our clients will continue to have high quality data and access to new types of datasets.

What’s the Role?

We are looking for a Technical AI Product Manager to join our Data department. You will be responsible for owning the product vision and driving the strategy and execution of AI within Data products on the Bloomberg terminal. You will help to transform our Data department by inventing and applying AI technology, collaborating with top-notch AI and engineering teams. You will act as a technical product manager to coordinate the efforts across Data, Engineering, and AI to drive innovation. You will get deeply involved in the end to end process from idea generation to model development and production deployment.

We’ll Trust You To:

• Translate strategic priorities into a product roadmap and craft detailed product specifications by laying out a vision, defining and communicating the strategic vision for IE solutions aligning with needs, priorities, and goals
• Engage partners and subject matter experts in a highly matrixed organization including departments such as Data, Product, AI, and Engineering to understand requirements to gather feedback, and ensure alignment with business goals
• Collaborate with Engineering and Data teams to define implementation plans, prioritize work items, triage issues, and run meetings in line with the greater roadmap
• Develop metrics to oversee and measure the impact of new processes to evaluate the performance, efficiency, and impact of AI solutions against operational goals, iterating and optimizing based on feedback and results
• Make decisions and recommendations backed by data, evidence, and pragmatic judgment
• Maintain a deep understanding of generative AI techniques, algorithms, and technologies, staying abreast of the last advancement in the field and translating technical concepts into actionable plans

You’ll Need to Have:

• 4+ years of experience working with artificial intelligence, including generative AI and large language models as well as their potential uses
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a science, technology, engineering, or mathematics (STEM) field
• Ability to effectively articulate a product vision and strategy
• Ability to effectively collaborate with technical teams to translate product vision into actionable requirements
• Experience with developing product requirements documents, product roadmaps, and associated artifacts
• Experience performing research, developing a deep understanding of the business opportunities, and eliciting information from diverse groups of partners and developing clear technical, actionable requirements
• Strong problem-solving and analytical skills, including developing strategic visions for products

Does this sound like you?

Apply if you think we’re a good match. We’ll get in touch to let you know what the next steps are!

Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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