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Product Manager Machine Learning Jobs in New York

Identify the best libraries, frameworks and tools for a given task, make product design decisions ... Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods ...

Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement * Partner with business ...

Lead Product Manager

Greenwich, CT · On-site

$140 - $190/hr

Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement * Partner with business ...

Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement * Partner with business ...

Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ... machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...

Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement * Partner with business ...

Responsibilities : • Turn cutting edge interpretability research into production ready tools. • ... machine learning workflows and pipelines into our product and deploy to customers. • Ensure ...

By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya ... As a Principal Product Manager, you will serve as a strategic thought partner to executive ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We care deeply about building great products, hiring exceptional people, and creating an ...

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We care deeply about building great products, hiring exceptional people, and creating an ...

We are looking for a passionate Machine Learning engineer to support, build and scale the ... Collaborate with platform, content, user data and product partners as HBO Max expands to new ...

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Showing results 41-60

Product Manager Machine Learning information

See New York salary details

$56.3K

$174.4K

$215.5K

How much do product manager machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for product manager machine learning in New York is $174,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,300.00 and $215,500.00 per year, depending on experience, location, and employer.

What does a product manager machine learning do?

A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.

What are the key skills and qualifications needed to thrive as a product manager machine learning?

To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.

How does a product manager machine learning typically collaborate with data scientists and engineering teams?

Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.

What is the difference between Product Manager Machine Learning vs Data Scientist?

AspectProduct Manager Machine LearningData Scientist
Primary FocusOverseeing ML product development, strategy, and deploymentAnalyzing data, building models, and deriving insights
Required SkillsProduct management, ML understanding, cross-functional collaborationStatistics, programming, data analysis
Work EnvironmentProduct teams, engineering, business stakeholdersData analysis teams, research, engineering
Common CertificationsProduct management certifications, ML coursesData science certifications, programming skills

While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.

What are popular job titles related to Product Manager Machine Learning jobs in New York?

For Product Manager Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Product Manager Machine Learning jobs in New York look for?

The top searched job categories for Product Manager Machine Learning jobs in New York are:

What cities in New York are hiring for Product Manager Machine Learning jobs?

Cities in New York with the most Product Manager Machine Learning job openings:

Infographic showing various Product Manager Machine Learning job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $174,394 per year, or $83.8 per hour.

Product Manager - Enterprise Data

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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 247 rated software companies


Job description

Product Manager - Enterprise Data
Location
New York
Business Area
Product
Ref #
10052218
Description & Requirements
Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content, as well as AI-powered analytics, including sentiment and more. Text is at the core of what we do today, with audio, imagery, and video increasingly in scope. Our client base includes major hedge funds, asset managers, and investment banks, typically using our feeds and analytics for low latency and intraday trading, market making, quantitative investing, and risk.
What's the role?
We're looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. You'll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain, along with some programming and data management skills. You'll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.
We'll trust you to:
• Understand client needs, identify improvements and new use cases
• Contribute to defining product development plans across text and other unstructured datasets
• Drive engineering resources and execute planned development initiatives
• Evaluate new unstructured data sources and assess their quality, coverage, and product potential
• Create and update portfolios of client-facing technical documentation
• Design protocols and tools to facilitate comprehensive product quality checks
• Provide quantitative research to support client testing and onboarding
• Serve as subject matter expert in client discussions, sales meetings, industry events
You'll need to have:
• Bachelor's or graduate degree in business, finance, or engineering-related field
• 5+ years' work experience in a financial or technology company
• Hands-on experience working with unstructured text data - for example NLP, text analytics, large news or document corpora, or LLM-based pipelines
• Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
• Understanding of data structures, algorithms, machine learning, quantitative trading.
• Good written and verbal communication skills.
• Sense of humor a plus.
We'd love to see:
• Experience with non-text unstructured data: audio or speech, imagery, or video
• Familiarity with multimodal machine learning, embeddings, or modern foundation models
• Experience building or evaluating data labeling, annotation, or quality pipelines at scale
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