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Llm Product Manager Jobs (NOW HIRING)

Socket.dev

Product Manager II

Austin, TX · On-site

Experience integrating generative AI tools or LLM interfaces into workflows. * Experience building ... The world is always changing, so we need Product Managers who are continuously adapting and excited ...

Preql AI

Product Designer

New York, NY · On-site

Working with the lead Product Manager and technical leadership, you'll make complex data ... AI/LLM Product Design: Experience designing for AI-powered features, conversational interfaces, or ...

Axiamatic

Product Manager

Menlo Park, CA · On-site

About the role You'll be one of the early product managers at Axiamatic, owning a major area of our ... You don't need to be an engineer, but you should be able to reason about LLM-powered features ...

Cleo (US)

Product Manager

$130K - $150K/yr

Own the AI product roadmap - including LLM-powered features, predictive models, agentic workflows ... Proven track record of managing all aspects of a successful product throughout its lifecycle - from ...

Cleo

Product Manager

$130K - $150K/yr

Own the AI product roadmap - including LLM-powered features, predictive models, agentic workflows ... Proven track record of managing all aspects of a successful product throughout its lifecycle - from ...

Axiamatic, Inc.

Product Manager

Menlo Park, CA · On-site

About the role You'll be one of the early product managers at Axiamatic, owning a major area of our ... You don't need to be an engineer, but you should be able to reason about LLM-powered features ...

Cleo (US)

Product Manager

Chicago, IL · On-site

$130K - $150K/yr

Own the AI product roadmap -- including LLM-powered features, predictive models, agentic workflows ... Proven track record of managing all aspects of a successful product throughout its lifecycle ...

Mandolin

Product Manager

San Francisco, CA · On-site

$150K - $240K/yr

Our Product Managers sit at the intersection of deep technical problem solving and customer-centric ... Experience building or deploying AI/LLM-powered products in production. * Domain expertise in ...

Mandolin

Product Manager

San Francisco, CA · On-site

Our Product Managers sit at the intersection of deep technical problem solving and customer-centric ... Experience building or deploying AI/LLM-powered products in production. * Domain expertise in ...

STEPS TALENT, LLC

Senior Product Manager

Manhattan, NY · On-site

$139K - $184K/yr

Senior Product Manager Location: New York, NY Duration: DIRECT HIRE - FULL TIME Summary: Seeking a ... Hands-on experience with LLM evaluation, prompt design, or model behavior testing

Infor Inc.

Product Manager

Atlanta, GA · On-site

Product Manager Department: Development Employment Type: Full Time Location: Atlanta Description ... Experience with generative AI and LLM concepts, including practical application within software ...

Adobe

Senior Product Manager

San Jose, CA · On-site

$125K - $239K/yr

You'll define and ship AI/LLM features for visitors and tools for Adobe.com's teams, working with ... About 5-8 years in product management, including senior ownership of technical products. * A record ...

Phaidon International

Product Manager

New York, NY · On-site

$150K - $175K/yr

Product Manager Location: NYC (Hybrid - 3 days/week in office) Reports to: Chief Technology Officer ... Practical familiarity with AI and LLM tooling - including self-directed experimentation and ...

Adobe, Inc.

Senior Product Manager

San Jose, CA · On-site

$125K - $239K/yr

You'll define and ship AI/LLM features for visitors and tools for Adobe.com's teams, working with ... About 5-8 years in product management, including senior ownership of technical products. * A record ...

Adobe

Senior Product Manager

San Jose, CA · On-site

$125K - $239K/yr

You'll define and ship AI/LLM features for visitors and tools for Adobe.com's teams, working with ... About 5-8 years in product management, including senior ownership of technical products. * A record ...

Infor

Product Manager

Product Manager Department: Development Employment Type: Full Time Location: US-Remote Description ... Experience with generative AI and LLM concepts, including practical application within software ...

DualEntry

Product Manager

New York, NY · On-site

$220K - $280K/yr

Own complex technical areas end to end: agents, ML, and the LLM-vs-deterministic trade-off * Work ... Hardcore work ethic and high agency * 5+ years of product management experience, ideally in B2B ...

DualEntry

$190K - $280K/yr

Own complex technical areas end to end: agents, ML, and the LLM-vs-deterministic trade-off * Work ... Hardcore work ethic and high agency * 5+ years of product management experience, ideally in B2B ...

DualEntry

Product Manager

Manhattan, NY · On-site

$190K - $280K/yr

Own complex technical areas end to end: agents, ML, and the LLM-vs-deterministic trade-off * Work ... Hardcore work ethic and high agency * 5+ years of product management experience, ideally in B2B ...

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Llm Product Manager information

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$51.5K

$159.4K

$197K

How much do llm product manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for llm product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is an LLM Product Manager?

LLM Product Managers are professionals responsible for leading the development and management of products that leverage large language models (LLMs), such as those based on artificial intelligence and machine learning. They work at the intersection of technology, business, and user experience, collaborating with engineering, data science, and design teams to define product vision, strategy, and features. Their role includes understanding user needs, prioritizing product features, ensuring responsible AI deployment, and measuring product performance. LLM Product Managers often need a strong understanding of AI technologies and market trends to guide their teams effectively.

How does an LLM Product Manager typically collaborate with engineering and data science teams during the product development lifecycle?

An LLM Product Manager works closely with engineering and data science teams to define product requirements, set priorities, and ensure alignment on technical feasibility. They facilitate regular meetings to clarify objectives, manage timelines, and address challenges related to model training, data quality, or deployment. This role often serves as a bridge between business goals and technical execution, ensuring that the product meets user needs while leveraging the latest advancements in large language models. Effective communication and cross-functional teamwork are essential for delivering high-quality AI-driven solutions.

What are the key skills and qualifications needed to thrive as an LLM Product Manager, and why are they important?

To thrive as an LLM Product Manager, you need a strong background in product management, AI/ML fundamentals, and experience with large language models, typically supported by a relevant degree. Familiarity with machine learning frameworks, cloud platforms, and tools like TensorFlow, PyTorch, and API management systems is essential. Exceptional communication, problem-solving, and cross-functional leadership skills help you collaborate with engineering, data science, and business teams. These skills are crucial for effectively guiding product development, aligning technical capabilities with user needs, and ensuring successful product launches in the evolving AI landscape.

What are popular job titles related to Llm Product Manager jobs?

For Llm Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Llm Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Product Manager II

Austin, TX • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 6 days ago

Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or related technical role.
  • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience building or implementing AI/ML features or infrastructure (e.g., working with LLMs, NLP, or data pipelines).
Preferred qualifications:
  • Master's degree in a technology or business related field.
  • 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  • Experience working in Risk Management, Compliance, Security, or Governance (GRC) technology.
  • Experience with one or more of the following: infrastructure components, APIs, prompt engineering, model evaluation, or deploying AI solutions.
About the job:

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Product Manager in the Governance Risk and Compliance (GRC) Tooling and Infrastructure team, you will lead the strategy and execution for the next generation of risk management tools. You will bridge the gap between complex regulatory requirements and cutting-edge engineering solutions. This role is highly cross-functional, requiring partnership with Engineering, UX, Legal, and Privacy stakeholders to deliver infrastructure that is not only robust but also intelligent.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Define and lead the product goal for integrating AI/ML capabilities into GRC infrastructure (e.g., automated document classification, LLM-based risk summarization, and predictive risk scoring).
  • Drive the development of scalable backend services and tooling that support data ingestion, risk engines, and reporting needs.
  • Manage the entire product lifecycle from ideation to launch, including writing detailed PRDs, managing backlogs, and defining success metrics.
  • Work closely with Risk and Compliance practitioners to translate domain expertise into technical requirements.
  • Partner with Engineering and Data Science teams to prioritize high-impact AI features while ensuring data privacy and ethical AI standards are maintained.
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