Product Manager, Senior

Company Description

Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered the BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate.

But that's not all. Strategy is also leading a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in the S&P 500.

Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting‑edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence.

Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued.

Job Description

AI Product Manager

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…