Staff Product Manager - Data & BI

Huntress

4h•$160,000 - $190,000•Remote

About The Position

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service. We protect 4M+ endpoints and 7M+ identities worldwide, elevating underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting. As a Staff Product Manager for Data, you will be a strategic leader responsible for defining and driving the next generation of our internal data platform and data products. You will own the vision for how Huntress leverages data to make key business decisions, power internal operations, and enable seamless, self-service data via intuitive interfaces powered by AI. You’ll collaborate directly with leadership, the data team, and cross-functional partners to execute a high-impact data strategy. This is an opportunity to leave a lasting mark by taking a robust, governed, and scalable data ecosystem from good to great. You will partner with Finance, Product, Engineering, Marketing, Sales, SOC, and Support to build a scalable data platform that not only stores information but also serves as a differentiator for the business. By defining the roadmap for our data engineering function, you will optimize for business value by enabling self-service and developing awesome data products.

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.

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.