AI Product Manager

nTech Workforce; Reston (VA); Hybride; USD 180 000 - 240 000; Plein temps

Résumé du poste

nTech Workforce seeks a Technical Product Manager / Platform Manager to steer the strategy and roadmap for an Enterprise AI Platform within a market-leading enterprise. You will collaborate with internal teams, data scientists, and AI engineers to build reusable AI capabilities, including RAG frameworks and agentic AI tools, powering multiple product suites.

You will manage platform backlogs, oversee PI planning, and translate complex AI capabilities into scalable services.

Qualifications

• Bachelor's degree or equivalent with 4 years' additional relevant experience.
• Proven track record in Product Management or Product Ownership in tech.
• Strong understanding of Agile/Scrum/SAFe practices and backlog management.

Responsabilités

• Define and own multi-year platform roadmap for internal AI capabilities.
• Serve as Technical Product Manager for internal product teams and translate requirements into user stories.
• Lead backlog grooming, sprint planning, and PI planning sessions.
• Collaborate with AI engineers and data scientists to design reusable enterprise capabilities.
• Present platform achievements during demos and stakeholder reviews.
• Track delivery cadence across multiple engineering streams using Jira.

Connaissances

Agile methodologies

Stakeholder management

Communication

AI platform experience

Backlog management

Formation

Bachelor's degree

Outils

Jira

Description du poste

• Location: primarily Remote (DMV Region - DC/Maryland/Virginia required)
• On-Site presence: 1 day per month or 1 day every 2 months in Northern Virginia for PI Planning and Demo Days

Overview:

Work with a market-leading enterprise organization as a Technical Product Manager / Platform Manager driving the strategy and roadmap for a cutting-edge Enterprise AI Platform. In this pivotal internal-facing role, you will collaborate closely with internal product teams, data scientists, and AI engineers to build reusable AI capabilities, including Retrieval-Augmented Generation (RAG) frameworks, agentic AI tools, and orchestration platforms. You will serve as the engine powering multiple product suites across the enterprise, establishing platform roadmaps, maintaining Agile backlogs, and translating technical AI capabilities into scalable services.

Key Responsibilities:

• Define, own, and execute the multi-year platform roadmap for internal AI capabilities and services.
• Act as the Technical Product Manager for internal product teams, gathering business requirements and converting them into actionable platform user stories and sprint backlogs.
• Drive Agile/Scrum/Kanban/SAFe processes, leading backlog grooming, sprint planning, and Program Increment (PI) planning sessions.
• Collaborate closely with AI engineers, data science teams, and technical leaders to design reusable enterprise capabilities, such as RAG tools and agentic AI frameworks.
• Support product demo days and present platform achievements and feature rollouts to cross-functional stakeholders.
• Monitor execution through Jira and maintain transparent delivery cadences across multiple engineering streams.

Required Qualifications:

• Bachelors Degree. In lieu of Bachelor`s degree, an additional of 4 years of relevant work experience is required
• 10+ years of dedicated Product Management or Product Ownership experience.
• Demonstrated technical depth in Artificial Intelligence (AI), including experience with AI platforms, enterprise RAG architectures, LLM integrations, AI agents, or chatbot frameworks.
• Experience operating as an internal-facing Technical Product Manager or Platform Manager supporting technical and product engineering teams.
• Experience across a portfolio of AI initiatives under an AI strategy or vision, not a single use case.
• Strong proficiency in Agile, Scrum, Kanban, and SAFe methodologies, with deep experience utilizing Jira for backlog and roadmap management.
• Proven ability to manage multi-product portfolios or reusable capability frameworks rather than single standalone web/mobile applications.
• Excellent communication and stakeholder management skills.
• Must reside in the DMV area (DC, Maryland, Virginia) and be able to attend on-site planning sessions in Northern Virginia roughly once per month or two months.
• Must be authorized to work in the United States without current or future sponsorship requirement.

Preferred Qualifications:

• Prior experience working within AWS cloud environments and AI/ML ecosystems.
• Exposure to healthcare or health insurance domain environments.
• Practical understanding of agentic AI framework orchestration and enterprise AI enablement strategies.
• Experience with a larger portfolio of products or services.