Staff Product Manager - Data & BI

Huntress is a fully remote cybersecurity company dedicated to breaking down barriers in the industry. They are seeking a Staff Product Manager for Data, who will lead the development of their internal data platform and data products, collaborating with various teams to optimize business value through effective data strategies.

Responsibilities:

• Responsible for crafting a visionary product roadmap for the internal data platform, data services, and semantic layer to ensure consistent and reliable data access across the business
• Act as the primary technical consultant and translator between data and engineering teams and the rest of the business, articulating complex data concepts into actionable insights and strategic recommendations for C-level executives
• Lead the technical vision and roadmap for data quality and governance, establishing robust frameworks and processes to ensure data integrity and proactively address systemic issues in the data lifecycle
• Collect internal customer feedback using interviews and direct conversations to assess data needs, identify pain points, and turn them into applicable requirements for new data products and platform features
• Lead and drive momentum in cross-functional team meetings, ensuring data projects are prioritized and stay on track, fostering a collaborative environment for data adoption and excellence
• Collaborate with Product Management teams across the organization to identify opportunities for data to enhance existing products and explore new data-driven offerings

Requirements:

• 8+ years of progressive experience in product management, with a minimum of 3+ years focused on data, data platforms, business intelligence, or analytics products within the technology or cybersecurity industry
• 5+ years of experience as a product owner in a sprint environment where you are responsible for managing the roadmap, prioritizing the backlog, and balancing short, medium, and long-term priorities
• You are an admitted data nerd who stays up on the latest trends
• Track record of developing and executing on innovative product strategies and roadmaps for internal or external data platforms
• In-depth knowledge of modern data stack technologies (e.g., Snowflake, dbt, Fivetran, Sigma, Hex, etc) and a strong understanding of data modeling principles (e.g., star schemas). Direct hands-on expertise is a plus
• Demonstrated ability to take ownership of the full product life cycle: Strategic Planning, Requirements, Architecture, Design, Testing, Deployment, and Operations
• Exceptional presentation, communication, and interpersonal skills, with the proven ability to articulate complex technical ideas to both highly technical and non-technical audiences, including C-level executives, and drive consensus
• Experience with financial, go-to-market (Sales/Marketing), and operational data domains, including the handling of sensitive PII and board-level reporting
• Familiarity with AI/ML concepts and their application in data products, including an understanding of LLMs and prompt engineering principles
• A bachelor's or master's degree in a technical field, or equivalent deep industry experience