Product Manager, Senior

AI Product Manager Job Description Strategy is redefining how enterprises use AI to interact with their data. We’re building AI-native, agentic experiences that let business users ask questions, generate insights, and take action through natural language, backed by enterprise-grade governance and explainability. As a Product Manager on our AI team, you’ll help shape the next generation of conversational analytics, agent experiences, and intelligent workflows across Strategy One. You’ll work on features such as answer generation, visualization generation, explainability, grounding, agent routing, and user guidance that turn enterprise data into intuitive, trustworthy AI interactions. You'll thrive in a dynamic, fast-paced environment where no two days look alike. Leveraging your customer empathy and market insights, you'll identify high-impact capabilities and enhancements, translating them into strategic product initiatives. Your success will be measured by the tangible impact your products deliver, driving adoption, customer value, and incremental revenue growth. You'll operate as part of a collaborative pod, partnering closely with Design, Engineering, and customer-facing teams, reporting directly to a VP of Product Management.  Your Focus Customer Discovery & Product Strategy: Partner with customers and internal teams to understand real-world workflows and translate ambiguous needs into clear AI-native product opportunities. AI & Conversational Experience Development: Define and refine conversational UX patterns from intent handling to explainability, identifying where AI can simplify or automate key analytics tasks. Roadmap Ownership & Prioritization: Own and evolve your product backlog, balancing customer value, technical constraints, and long-term platform direction across Strategy’s AI capabilities. Execution & Delivery: Collaborate with Engineering and Design to drive high-quality feature delivery, writing clear requirements and managing trade-offs with urgency and sound judgment. Product Quality, Evaluation & Analytics: Define success metrics, instrument analytics, and use data to evaluate agent performance, answer accuracy, engagement, and reliability over time. Adoption & Enablement: Partner cross-functionally to drive adoption of AI features and create onboarding flows that help users quickly realize value from conversational analytics. Required Experience & Skills 5–8 years of experience in Product Management or an adjacent role delivering B2B data, analytics, or software products. Experience building or supporting AI-native capabilities, such as conversational interfaces, copilots, automated insights, or agent workflows. Strong understanding of data concepts including SQL literacy, cloud data platforms, and hands-on data wrangling or reporting (including using AI tools to assist). Demonstrated ability to translate complex customer and market insights into clear product strategies and measurable business outcomes. Excellent communication skills, capable of effectively engaging diverse stakeholders—from engineering teams to executive leadership. Strong product instincts and a first-principles problem-solving mindset; able to navigate ambiguity, make high-quality decisions, and move initiatives forward with urgency. You Should Also Bring the Following Experience in analytics, conversational interfaces, AI-assisted workflows, or related fields. Hands-on familiarity with industry-leading BI tools like Power BI, Tableau, Qlik, ThoughtSpot, or similar. Familiarity with AI/LLM concepts such as grounding, retrieval, evaluation, or agent orchestration (experience with OpenAI, Azure OpenAI, Vertex, or Anthropic is a plus, not a requirement). Experience working in or building for enterprise B2B environments, especially those involving multi-persona workflows or governance requirements. A collaborative, customer-centric working style combined with an ability to drive projects forward with urgency and precision. Location This role is based at our Tysons Corner, VA headquarters, requiring in-person attendance four days a week, with limited travel for customer meetings and industry conferences.