BloombergTechnical Product Manager - AI Platforms - GenAI Quality Platforms - CTO Office
AI in this role
About the team
Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation of infrastructure, hardware, and applications that power the Bloomberg Terminal and beyond. Our work spans AI platforms, cloud infrastructure, open-source stewardship, and generative AI innovation.
For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort is our growing ecosystem of AI Quality Platforms, which provides the critical infrastructure to evaluate, observe, improve, and govern AI systems in production that allow Bloomberg to build trustworthy AI products by design.
What's in it for you
We are looking for a Technical Product Manager to shape the future of Bloomberg’s GenAI quality infrastructure. In this role, you will define and execute the foundational capabilities that enable teams across Bloomberg to develop trusted, reliable, and measurable GenAI-powered products at scale.
In this role, you will focus on the end-to-end user experiences and drive the strategy and roadmap for new platform capabilities and integrations that make it easier for teams to evaluate AI systems, detect and remediate failures, and incorporate human oversight where it matters most.
You will play a key role in establishing the standards, frameworks, and tooling that enable GenAI products to move from prototypes to production-ready experiences that deliver measurable value to customers. You will join a group of highly technical product managers that work on a range of adjacent projects around AI application development, and collaborate to deliver a cohesive end-to-end experience. You will interact very closely with internal stakeholders from product, engineering, and UX. This is a high-leverage role in a very cross-functional environment, so you’ll need to be comfortable wearing many hats and balancing technical expertise with business acumen.
Why this matters
The next generation of AI systems will need to continuously evaluate themselves, detect failures, improve from feedback, and know when expert human judgment is needed. You will help define the strategy and roadmap for the quality infrastructure that will make this possible, ensuring Bloomberg’s GenAI products are reliable, trustworthy, and continuously improving. You will work closely with engineering, infrastructure, and subject matter expert teams across the company to deliver platform capabilities that are optimized for agentic product development. Your impact will span the entire Agentic AI lifecycle, helping cross-functional product teams build, evaluate, monitor, and improve AI systems with the same rigor and reliability that is expected in the area where Bloomberg operates.
We’ll trust you to
Develop a long-term vision and roadmap for Bloomberg’s GenAI quality infrastructure and deliver foundational capabilities that enable evaluation and remediation of complex multi-agent and multi-tool systems across all finance domains.
Anticipate evolving needs and opportunities for AI quality and translate them into scalable platform capabilities that serve teams across Bloomberg
Interact with end users and translate product roadmap features and requirements into well-crafted, testable user stories and acceptance test criteria, set priorities and define the scope whilst effectively managing resources.
Work closely with stakeholders across the company to develop an understanding of capabilities, constraints and opportunities, anticipate scale challenges, map business requirements to technical vision, and increase service capabilities to better support internal and external partners.
Develop a long-term vision and roadmap for Bloomberg’s GenAI quality infrastructure and deliver foundational capabilities that enable evaluation and remediation of complex multi-agent and multi-tool systems across all finance domains.
Anticipate evolving needs and opportunities for AI quality and translate them into scalable platform capabilities that serve teams across Bloomberg
Interact with end users and translate product roadmap features and requirements into well-crafted, testable user stories and acceptance test criteria, set priorities and define the scope whilst effectively managing resources.
Work closely with stakeholders across the company to develop an understanding of capabilities, constraints and opportunities, anticipate scale challenges, map business requirements to technical vision, and increase service capabilities to better support internal and external partners.
You’ll need to have
5+ years of experience in technical product management, ideally within AI, platforms, tooling for developers and domain experts, or benchmarking systems
Experience with one or more areas of the AI quality stack, such as evaluation, observability, testing, benchmarking, human feedback, safety, or continuous improvement.
Strong technical understanding of modern AI systems, including the technical challenges involved in developing Generative AI applications
Experience driving cross-functional initiatives across multiple teams and stakeholders
Proven ability to work cross-functionally with engineering, research, and platform teams to deliver impactful platform capabilities
Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams
5+ years of experience in technical product management, ideally within AI, platforms, tooling for developers and domain experts, or benchmarking systems
Experience with one or more areas of the AI quality stack, such as evaluation, observability, testing, benchmarking, human feedback, safety, or continuous improvement.
Strong technical understanding of modern AI systems, including the technical challenges involved in developing Generative AI applications
Experience driving cross-functional initiatives across multiple teams and stakeholders
Proven ability to work cross-functionally with engineering, research, and platform teams to deliver impactful platform capabilities
Excellent communication and storytelling skills, with the ability to articulate a technical vision and influence across diverse teams
We’d love to see
An advanced degree in computer science, data science, HCI, AI, or a related field
Knowledge of evaluation methodologies for agentic or Generative AI, including benchmarks, frameworks, and quality metrics.
Hands-on experience building, evaluating, or experimenting with AI systems
Engagement with the AI research community through publications, conference participation, or presentations
Open source involvement or community presence
An advanced degree in computer science, data science, HCI, AI, or a related field
Knowledge of evaluation methodologies for agentic or Generative AI, including benchmarks, frameworks, and quality metrics.
Hands-on experience building, evaluating, or experimenting with AI systems
Engagement with the AI research community through publications, conference participation, or presentations
Open source involvement or community presence
Why join us
Influence how AI products are built across Bloomberg by creating the foundational infrastructure needed to develop high-quality AI products
Partner with top-tier engineers, AI researchers, and product leaders to shape the future of agentic AI quality infrastructure
Deliver foundational infrastructure at enterprise scale, where technical excellence, reliability and quality are core values
Salary Range = 140,000 - 295,000 USD Annual + Benefits + BonusInfluence how AI products are built across Bloomberg by creating the foundational infrastructure needed to develop high-quality AI products
Partner with top-tier engineers, AI researchers, and product leaders to shape the future of agentic AI quality infrastructure
Deliver foundational infrastructure at enterprise scale, where technical excellence, reliability and quality are core values
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards 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) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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How we rate this
Technical Product Manager - AI Platforms - GenAI Quality Platforms - CTO Office at Bloomberg rates 72 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a research question you investigated. What did you find?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: NLP and AI Research. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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