Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
Continuous ImprovementStakeholder Management
Job Description
W2 ONLY
Position: AI Product Manager
Location: Redmond, WA (REMOTE)
CONTRACT
Job Description:
Summary:
- We are seeking an experienced AI Product Manager to lead the strategy, roadmap, and delivery of AI-powered products and capabilities.
- This role will bridge business objectives, customer needs, data science, engineering, and user experience teams to build scalable, responsible, and high-impact AI solutions.
- The ideal candidate combines strong product management expertise with a solid understanding of Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise AI governance.
- The role requires defining product vision, prioritizing investments, measuring business impact, and ensuring successful adoption of AI capabilities.
Key Responsibilities
- Define and execute the AI product vision, strategy, and roadmap aligned with business objectives.
- Identify high-value AI and GenAI opportunities across business functions and customer journeys.
- Create Product Requirement Documents (PRDs), Translate business challenges into scalable AI-powered solutions describing business impact, technical feasibility, and customer value.
- Use ADO to maintain product backlogs, user stories, acceptance criteria, and release plans.
- Establish success metrics, KPIs, and measurable business outcomes for AI initiatives.
- Collaborate with AI Architects/ Engineers to define model requirements and evaluation criteria.
- Drive development of AI/ML, LLM, RAG, Copilot, and Agentic AI solutions.
- Define model performance metrics including accuracy, precision, recall, latency, and user satisfaction.
- Ensure AI products are scalable, secure, and production ready.
- Drive end-to-end product lifecycle management from concept to deployment and continuous improvement.
- Ensure compliance with Responsible AI, security, privacy, and regulatory requirements.
- Define AI governance frameworks, guardrails, bias mitigation strategies, and model monitoring processes.
- Establish monitoring approaches for model drift, hallucinations, and operational risks.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field.
- 8+ years of Product Management experience.
- 3+ years leading AI, ML, GenAI, or Data-driven products.
- Experience managing enterprise-scale digital products, Product strategy and roadmap development.
- Understanding of Machine Learning, Deep Learning, NLP, and Generative AI.
- Experience with LLMs, Prompt Engineering, RAG, Vector Databases, and AI Agents.
- Knowledge of AI evaluation frameworks and experimentation methodologies.
- Understanding of AI architecture, APIs, integrations, and MLOps concepts.
- Ability to define KPIs and product success metrics.
- Excellent communication and storytelling skills.
- Stakeholder management and executive communication.
- Ability to influence executive stakeholders and cross-functional teams.
Preferred Qualifications
- Experience building Copilots, Agentic AI applications, or enterprise GenAI platforms.
- Familiarity with Azure AI Foundry, OpenAI, Microsoft Copilot ecosystem, Databricks, or Vertex AI.
- Experience with AI governance, Responsible AI, and enterprise compliance frameworks.
- Knowledge of experimentation, A/B testing, telemetry, and product analytics.
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