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Bloomberg Lp Jobs (NOW HIRING)

Bloomberg LP

Technical Product Manager - Data AI

New York, NY · On-site

$182K - $211K/yr

The Data Artificial Intelligence group brings modern AI technologies into Bloomberg's Data organization while contributing deep financial subject-matter expertise to the development of AI-powered ...

Bloomberg LP

Senior Software Engineer - BQL

New York, NY · On-site

$134K - $176K/yr

The Bloomberg Query Language (BQL) is the nexus of this data access and distributed analytics. Through an intuitive workflow construction and querying language, BQL enhances our client's experience ...

Bloomberg LP

Government Outreach Manager

New York, NY · On-site

Bloomberg Media empowers global business leaders with breaking news, expert opinion and proprietary data distributed on every platform, across every time zone. Like our products and solutions - our ...

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How much do bloomberg lp jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for bloomberg lp in the United States is $22.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.96 per hour, depending on experience, location, and employer.

What is Bloomberg LP?

Bloomberg LP is a global financial services, software, and media company. The company is best known for its Bloomberg Terminal, a computer software system that enables professionals in finance and other industries to access the Bloomberg Professional service for real-time financial data, news, analytics, and trading tools. Bloomberg LP also provides data analytics, equity trading platforms, and operates a 24-hour global business and financial news network. Its products are widely used by investment professionals, analysts, and financial institutions around the world.

What does a typical day look like for a software engineer at Bloomberg LP, and how does the team collaborate on projects?

At Bloomberg LP, Software Engineers typically start their day by reviewing code, addressing feedback from peers, and participating in daily stand-up meetings to align on project priorities. The work environment is highly collaborative, with engineers working closely in agile teams that often include product managers and data analysts. Pair programming and code reviews are common practices, fostering knowledge-sharing and maintaining high code quality. Engineers are encouraged to contribute ideas and take ownership of features, which helps drive both personal and professional growth within the company.

What are the key skills and qualifications needed to thrive as a Bloomberg LP employee, and why are they important?

To thrive at Bloomberg LP, you need strong analytical skills, financial acumen, and relevant educational credentials such as a degree in finance, economics, computer science, or related fields. Familiarity with Bloomberg Terminal, data analytics platforms, and programming languages like Python or SQL is highly valuable. Outstanding communication, adaptability, and teamwork are vital soft skills for collaborating in Bloomberg’s dynamic, fast-paced environment. These abilities ensure employees can deliver innovative solutions, interpret complex data, and contribute effectively to Bloomberg’s client-focused, technology-driven mission.

What is the difference between Bloomberg LP vs Bloomberg Terminal Specialist?

AspectBloomberg LPBloomberg Terminal Specialist
CredentialsTypically requires a bachelor's degree in finance, economics, or related fieldsRequires similar educational background; often needs familiarity with Bloomberg Terminal software
Work EnvironmentCorporate offices, financial institutions, media environmentsFinancial firms, trading floors, client support settings
Industry UsageFinancial services, media, data analyticsFinancial services, client support, software training

Bloomberg LP is a global financial data and media company, while a Bloomberg Terminal Specialist focuses on supporting and training users of Bloomberg Terminal software within financial institutions. Both roles require knowledge of financial data, but the specialist role emphasizes client support and software expertise, whereas Bloomberg LP encompasses broader corporate functions.

What states have the most Bloomberg Lp jobs?

States with the most job openings for Bloomberg Lp jobs include:

What job categories do people searching Bloomberg Lp jobs look for?

The top searched job categories for Bloomberg Lp jobs are:

Bloomberg Lp jobs near you
Infographic showing various Bloomberg Lp job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $47,713 per year, or $22.9 per hour.

Product Manager - AI Enterprise Capacity Management

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 244 rated software companies

Job description

Product Manager - AI Enterprise Capacity Management
Location
New York
Business Area
Product
Ref #
10053171
Description & Requirements
Bloomberg's AI is transforming how investment professionals discover information, run analysis, automate workflows and collaborate across their organizations. ASKB has quickly become a primary conversational interface for Bloomberg Terminal users - letting users interact with Bloomberg's data, analytics, news and applications in natural language, powered by specialized AI agents and grounded in three principles: accuracy, transparency and trusted content.
As firms increasingly look to deploy AI at an enterprise level, Bloomberg is bringing enterprise-grade administration, governance and collaboration to its AI capabilities - so firms can adopt AI across teams and departments while maintaining security, governance and trust. This is one of Bloomberg's most exciting product areas, combining AI, enterprise software and workflow transformation.
The role
We're seeking a Product Manager to own AI capacity for Bloomberg's enterprise AI offering - how Bloomberg measures, packages and prices the storage and compute (tokens) behind ASKB as AI workflows scale. Reporting to the Team Lead for Enterprise AI, you'll own the capacity model end-to-end: the desktop allowance, enterprise tiers, the pooled-capacity model and priority in ASKB responses - together with the metering, monitoring and decision data behind every capacity and pricing decision.
You'll define how we measure and package capacity - turning it into a scalable product that grows with usage and gives firms clear, manageable control over what they consume.
Define the capacity model. Own capacity - storage and tokens - and how it's structured: the desktop allowance versus subscribed enterprise tiers and pooled capacity, and how priority works in ASKB responses. Decide how firms buy, share and manage capacity across their users.
Meter, monitor and forecast. Own how Bloomberg measures, monitors and alerts on consumption at user, workflow and firm level, and the accuracy of the monitoring and forecasting that capacity and pricing decisions depend on.
Power the inputs for commercials. Own the capacity product's inputs to pricing and packaging - cost per user, workflow category, token and schedule constraints - and, in partnership with the Enterprise AI Team Lead and Finance, shape how capacity is packaged and how firms subscribe to and manage additional pooled capacity, within the broader enterprise commercial model.
You'll work closely with ASKB engineering, Finance and enterprise product and data teams, translate capacity needs into detailed Product Requirement Documents, and partner with the central admin workstream so firm admins can see and manage what they consume.
We'll trust you to
  • Own the capacity model for Bloomberg's enterprise AI - storage and tokens, the desktop allowance, enterprise tiers, the pooled-capacity model, and how capacity priority works in ASKB responses.
  • Define metering, monitoring and alerting on consumption at user, workflow and firm level, and own the accuracy of capacity monitoring and forecasting.
  • Own the decision data behind capacity and tiered pricing - cost per user, workflow category, token and schedule constraints - and turn it into clear packaging and pricing recommendations.
  • Shape the input data for capacity commercials in partnership with the Enterprise AI Team Lead and Finance - how capacity is packaged and priced and how firms subscribe to and manage additional pooled capacity - consistent with the broader enterprise commercial model.
  • Translate capacity needs into detailed PRDs and requirements for ASKB engineering and metering teams.
  • Surface capacity controls and usage visibility to firm admins, partnering with the central admin tooling workstream so firms can manage what they consume.
  • Define capacity KPIs - utilisation versus allowance, overage and upsell, and subscription revenue from capacity tiers - and use telemetry to shape direction.
  • Work directly with enterprise clients to understand how they consume and want to manage AI capacity, and validate the model against real firm behaviour.

You'll need to have
  • Strong product management experience within enterprise software, SaaS or AI enterprise platforms, including leading initiatives from concept through launch.
  • Experience with usage-based, consumption or capacity-based products - metering, tiering, quotas or pooled entitlement models.
  • Hands-on experience with AI / LLM-based products or infrastructure, with an understanding of tokens, compute and storage as cost drivers.
  • Strong analytical and quantitative skills - comfortable modelling cost, consumption and unit economics from telemetry.
  • A solid understanding of enterprise software administration, governance and entitlements.
  • Experience authoring Product Requirement Documents and managing cross-functional roadmaps.
  • The ability to partner with commercial and finance stakeholders on packaging and pricing while owning the underlying product.
  • Outstanding written and verbal communication, with the ability to influence stakeholders across Product, Engineering, Finance and Sales.

We'd love to see
  • Experience with the Bloomberg Terminal or Bloomberg Enterprise products.
  • Experience pricing or metering AI / LLM usage and token-based cost models.
  • Familiarity with SaaS commercial models - usage-based pricing, pooled entitlements, overage and tiering.
  • Experience building metering, billing or capacity-management systems.
  • Financial-modelling and unit-economics fluency.
  • Domain fluency in financial markets and how regulated institutions evaluate technology.

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.
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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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