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What is it like to work at Bloomberg?

Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.

What makes Bloomberg an attractive place to work?

Bloomberg is a leading global provider of financial data and analytics, known for its cutting-edge technology and influential market insights. The company offers a dynamic work environment that fosters innovation, collaboration, and professional growth, with opportunities to work on high-profile projects and contribute to the development of its industry-leading products. As a Bloomberg employee, you can expect to be part of a global network of professionals who drive business decisions and shape the financial landscape, with access to training and development programs that support your career advancement.

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36% of people report that they wouldn’t recommend working with their immediate team to a friend.
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In the last year, 73% of people report being given support to advance their career here.
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Most people think headquarters understands what’s happening where they work.
55% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
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Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
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What are the most popular job types at Bloomberg?
    What are the most popular jobs at Bloomberg?
    What are the most popular categories at Bloomberg?
    Infographic showing various Data job openings at Bloomberg in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 100% Physical job distribution.

    Product Manager, Alternative Data - Data Feeds

    Bloomberg LP

    New York, NY • On-site

    Full-time

    Medical, Dental, Vision, Life, Retirement, PTO

    Posted 13 days ago

    Bloomberg rating

    9.4

    Company rating: 9.4 out of 10

    Based on 11 frontline employees who took The Breakroom Quiz

    11th of 243 rated software companies

    Job description

    Product Manager, Alternative Data - Data Feeds
    Location
    New York
    Business Area
    Product
    Ref #
    10052738
    Description & Requirements
    Who we are:
    The Bloomberg Alternative Data team is a fast-growing, high-impact product group building the next generation of data and analytics for company research and intelligence. Our mission is to make alternative data as essential to investment workflows as traditional fundamentals - at global scale.
    What's in it for you:
    Bloomberg's Alternative Data team is seeking a Product Manager to own the end-to-end lifecycle of our data feed products. In this role, you will be the primary product owner for Bloomberg's alternative data feed products, setting the strategy, driving new product development, and taking direct accountability for a critical growth area at Bloomberg.
    Bloomberg is uniquely positioned to address client needs leveraging alternative data for company research in the age of AI. In this role you will help shape and transform the future of investment research, with high visibility from engineering leadership to buy-side clients and a direct line of sight to commercial outcomes.
    We'll trust you to:
    • Own product strategy and roadmap: Define, prioritize, and evangelize the what and the why behind our data feed offerings - identifying new product opportunities, evaluating whitespace, and translating business goals and opportunity into a technical roadmap in close partnership with engineering
    • Drive commercial outcomes: Share accountability for revenue and growth metrics for the feeds you own; support pricing, packaging, and competitive positioning decisions in partnership with GTM teams
    • Deeply understand our clients: Empathetically understand the business, workflows, and objectives of our target users - including fundamental, quantitative, and systematic investors - and the specific ways they leverage alternative data for signal generation, backtesting, and investment research
    • Own data quality and operational reliability: Take product-side accountability for the accuracy, stability, and delivery consistency of your feeds - partnering with engineering and data science on QA frameworks including automated QA systems, outlier detection, and coverage checks; own incident communication and data issue escalation workflows
    • Drive cross-functional execution: Collaborate with sales, marketing, customer support, engineering, and data science to bring data feed products to market and drive client engagement at scale
    • Lead your Agile team: Serve as product owner to your engineering team - setting development priorities, balancing functional and technical requirements, managing the backlog, and writing precise, implementation-ready PRDs
    • Define success metrics: Establish and monitor metrics for engagement, data health, and business impact across products and features
    • Manage data vendor relationships: Deeply understand the underlying data and manage key third-party data vendor relationships, including evaluating new data partnerships for coverage, quality, and licensing implications

    You'll need to have:
    • 5+ years of product experience with data-intensive, data feed, or B2B data products
    • Deep understanding of alternative data use cases and institutional investor workflows - including how quant, fundamental, and systematic investors leverage transaction-level, consumer, and B2B spend data for signal testing, backtesting, and alpha generation
    • Hands-on experience working with data, including familiarity with data quality, QA practices, and the operational realities of delivering high-reliability data products
    • Demonstrated commercial accountability - you've had direct line of sight to revenue, ARR, or P&L outcomes for a product you owned, and have made decisions that measurably impacted commercial results
    • Demonstrated ability to write implementation-ready PRDs and manage complex delivery processes across multiple teams
    • Experience working directly with data engineers, data scientists, and cross-functional stakeholders across large organizations
    • Strong client-facing communication skills; comfortable on sales calls and managing client escalations
    • Strong organizational skills and the ability to manage multiple concurrent initiatives without losing sight of delivery timelines

    We'd love to see:
    • Familiarity with Bloomberg data products, the Bloomberg Terminal, or enterprise data delivery platforms (e.g., Snowflake, Databricks)
    • Exposure to data delivery infrastructure: APIs, flat files, cloud storage, portal-based delivery
    • Demonstrated working knowledge of applying alternative data to surface investment opportunities or answer investment research questions
    • Experience managing or partnering on third-party data vendor relationships
    • You've successfully executed in large company settings, collaborating across multiple stakeholders to bring scaled products to market

    Salary Range = 140,000 - 295,000 USD Annual + 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.
    Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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    About Bloomberg

    Sourced by ZipRecruiter

    Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

    Industry

    Finance and insurance

    Company size

    10,000+ Employees

    Headquarters location

    New York, NY, US

    Year founded

    1981

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