Used Tools & Technologies
GenAIRequired 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.
Software Development @ 4
Machine Learning @ 4
Data Science @ 4
Leadership @ 4
Communication @ 4
Data Engineering @ 4
Product Management @ 4
API @ 4
Technical Leadership @ 8
Reporting @ 4
Cloud Computing @ 4
Generative AI @ 4
AI @ 4
Agentic AI @ 4
- 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
Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more.
Who We Are / The Team
The Data Activation group, part of the Data & Analytics division in the Office of the CTO, is responsible for connecting Bloomberg’s data systems to customer outcomes, both internal and external. This pillar brings together data, AI, APIs, and developer experience to ensure that Bloomberg’s vast data assets can be discovered, accessed, and activated seamlessly. Our remit spans integrations with the Bloomberg Terminal, first- and third-party API platforms, external developer ecosystems, AI/ML applications, and BQL (Bloomberg’s query language) that enables programmatic access to data.
About the Role
We’re seeking a Product Management Lead to head the Data Activation pillar — a senior leadership role within the Data & Analytics group, reporting into the CTO organization. This leader will manage a multidisciplinary team of product managers, data scientists, technical writers, and developer relations professionals focused on enabling data-driven innovation and empowering customers — both inside and outside Bloomberg — to build on top of our data.
You’ll define and execute a product strategy that connects Bloomberg’s internal data capabilities to real-world user experiences and outcomes. From shaping APIs and programmatic interfaces, to enabling AI and analytics use cases, to empowering external developers - you’ll drive the “last mile” of data activation across the company’s most strategic surfaces.
Responsibilities
- Define and deliver a compelling product vision and roadmap for how Bloomberg’s data is activated and experienced — across APIs, the Terminal, AI platforms, and developer ecosystems.
- Lead and mentor a high-performing team of product managers, developer advocates, and data-focused specialists — fostering a culture of customer obsession, technical excellence, and collaboration.
- Partner across engineering, AI research, and product teams to align on strategy and deliver seamless data access experiences that serve diverse user personas (developers, quants, analysts, researchers).
- Drive innovation in programmatic data access through BQL, APIs, SDKs, and integrations - enabling customers to embed Bloomberg data in their own workflows and applications, including emerging agentic AI use cases.
- Shape the external developer strategy, in partnership with engineering and business stakeholders, to extend the reach and impact of Bloomberg’s data platform through robust tools, documentation, and engagement programs.
- Define success metrics and KPIs, using data-driven insights to prioritize, measure adoption, and continuously improve the developer and data activation experience.
- Stay ahead of industry trends in data APIs, AI/ML integration, developer platforms, and data monetization to ensure Bloomberg remains at the forefront of data innovation.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 10+ years of experience in product management or related technical leadership roles, ideally within data, platform, or developer ecosystems.
- 5+ years of experience managing product teams and leading cross-disciplinary groups.
- Proven experience launching and scaling API or data platform products serving developers, analysts, or AI/ML practitioners.
- Strong understanding of data systems, APIs, and developer workflows, including knowledge of query languages and programmatic data access patterns.
- Exceptional ability to translate complex data and infrastructure capabilities into intuitive user-facing solutions.
- A track record of customer-centric product thinking and delivering outcomes that drive measurable impact.
- Excellent communication and collaboration skills, with the ability to align technical and business stakeholders around a shared vision.
Nice to have
- Master’s degree in a technical or business-related field.
- Experience building or scaling developer platforms or ecosystems.
- Familiarity with AI/ML tools, APIs, and applied data products.
- Background in data science, data engineering, or software development.
- Demonstrable knowledge of financial markets.
Compensation & Benefits
Salary Range = 180000 - 350000 USD Annually + Benefits + Bonus
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.