Job Title: AI Product Manager
Location: Redmond, WA (Hybrid/Onsite)
Tax Term (W2, C2C): W2 / C2C
Job Type (Permanent/Contract): Contract
Duration: 12+ Months (High Possibility of Extension)
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.
The role requires a strong blend of product management, technical understanding of AI/ML technologies, and experience delivering enterprise-scale AI products. Candidates should have experience with Large Language Models (LLMs), Generative AI, cloud AI services, and cloud-native applications.
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:
- 5+ 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.
Qualifications:
- Bachelor''s degree in Computer Science, Engineering, Information Systems, Business, or a related field.
- Master''s degree (MBA/MS) preferred.
- Experience delivering enterprise AI or cloud-based products.
- Knowledge of Responsible AI, AI governance, and security best practices.
- Experience with enterprise AI platforms, developer tools, or SaaS products is highly preferred.
- Strong analytical, leadership, and problem-solving skills.
- Excellent written and verbal communication skills.