Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced AI Product Manager to lead the strategy, roadmap, and delivery of AI-powered products and capabilities. The role bridges business, customer, data science, engineering, and user experience needs while driving scalable, responsible AI solutions through product lifecycle management, governance, measurement, and adoption.
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
Skills
- 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
- 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
Benefits
- Remote work arrangement
Company Overview