AI Product Manager

Robotic Process Automation LLC; Los Angeles (CA); Hybrid; USD 99,000 - 135,000; Full time

Job summary

To Be Discussed Later is seeking an experienced AI Product Manager to lead strategy, development, and execution of AI-powered products. You will partner with AI Research, Engineering, Data Science, UX, and business stakeholders to define vision and deliver Generative AI solutions.

You will own backlog, drive roadmap execution, and ensure governance for Responsible AI, privacy, and security across products.

Qualifications

• 3+ years in Product Management or Technical Product Management.
• 3+ years delivering AI/ML or Generative AI products.
• Strong understanding of LLMs and Generative AI concepts.
• Experience with Azure OpenAI Service or similar AI platforms.
• Knowledge of Prompt Engineering, RAG, AI Agents, Copilot tech.
• Experience with APIs, REST, microservices, cloud architecture.
• Experience on Azure/AWS/GCP platforms.
• Familiar with Agile/Scrum tools like Azure DevOps or Jira.
• Ability to analyze metrics and make data-driven decisions.
• Excellent communication and stakeholder management.
• Experience collaborating with software eng and data science teams.

Responsibilities

• Define product vision, strategy, and roadmap for AI-powered products.
• Partner with AI Research, Eng, Data Science, and UX teams.
• Translate customer problems into AI-enabled features.
• Own backlog, prioritization, release planning, and roadmap execution.
• Drive lifecycle from ideation to launch and post-release optimization.
• Collaborate with engineers to integrate LLMs and AI services.
• Define KPIs and success metrics from product analytics.
• Conduct market research, competitive analysis, and discovery.
• Ensure responsible AI, privacy, security, and compliance.
• Present strategy and roadmap updates to executives.
• Work with cross-functional teams to deliver on schedule.

Skills

Product management

AI/ML product deliverables

LLMs & Generative AI

Azure OpenAI Service

Prompt engineering

APIs & Microservices

Cloud architecture

Agile/Scrum

Data-driven decisions

Stakeholder mgmt

Cross-functional collaboration

Tools

Azure OpenAI Service

Azure AI Foundry

Azure Machine Learning

Azure DevOps

Jira

AWS / GCP / Azure

Job description

Job Title: AI Product Manager

Location: Hybrid

Duration: 10 Months (High Possibility of Extension)

Bill Rate: $85/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization:

USC

GC

H1B

OPT-EAD

Description:

We are seeking an experienced AI Product Manager to lead the strategy, development, and execution of AI-powered products and experiences. The ideal candidate will work closely with AI Research, Engineering, Data Science, UX, and business stakeholders to define product vision, translate AI capabilities into customer value, and deliver innovative Generative AI solutions.

Role and Responsibilities:

• Define product vision, strategy, and roadmap for AI-powered applications and services.
• Partner with AI Research, Engineering, Data Science, and UX teams to deliver innovative AI experiences.
• Translate customer problems into AI-enabled product features and requirements.
• Own product backlog, feature prioritization, release planning, and roadmap execution.
• Drive product lifecycle from ideation through launch and post-release optimization.
• Collaborate with engineering teams to integrate Large Language Models (LLMs), AI agents, and cloud AI services.
• Define KPIs and success metrics using product analytics and customer insights.
• Conduct market research, competitive analysis, and customer discovery.
• Ensure Responsible AI principles, privacy, security, and compliance are incorporated into product design.
• Present product strategy and roadmap updates to executive leadership.
• Work closely with cross-functional teams to deliver high-quality AI products on schedule.

Required Skills:

• 3+ years of Product Management or Technical Product Management experience.
• 3+ years of experience delivering AI/ML or Generative AI products.
• Strong understanding of Large Language Models (LLMs) and Generative AI concepts.
• Experience with Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, or similar AI platforms.
• Knowledge of Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, and Copilot technologies.
• Experience with APIs, REST services, Microservices, and Cloud Architecture.
• Strong understanding of Azure, AWS, or Google Cloud Platform.
• Experience working in Agile/Scrum environments using Azure DevOps or Jira.
• Ability to analyze product metrics and make data-driven decisions.
• Excellent communication and stakeholder management skills.
• Experience collaborating with software engineering and data science teams.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.