Product Manager, Data & Knowledge

Twine builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.

About the Role:

We're looking for a Product Manager to own the data and knowledge component of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.

What you'll do:

• Architect the Data Fabric: Own the data layer, defining schemas and cross relationships across IAM, network, and security domains to power agent capabilities.
• Lead the Knowledge Layer: Own how policies and operating procedures are captured, structured, and updated so agents apply them reliably.
• Build the Customer Experience: Partner with design and engineering to build user interfaces for data exploration, search, reporting, and connection health.
• Scale Data Fabric and Knowledge as a Platform: Own the internal interface between data layers and other product components to feed agent visibility and decision making.
• Drive Field to Roadmap Feedback Loops: Partner closely with customer facing and POC teams to turn real world field signals into scalable product features.

Requirements:

• 4+ years in product role in cybersecurity.
• Real depth with data. Either discipline: the building side (modeling, pipelines, warehousing, analytics) or the product side (owning a data platform, defining schemas, shaping what a data layer exposes). What matters is that you've worked with data as a system, not as a dashboard.
• You turn data into value. You look at a schema and see what it unlocks - which questions become answerable, which decisions become automatable. You're not satisfied with a correct model that nobody can use.
• You're comfortable in the details. You're able to understand entity relationships decisions engineers make, sit in integration design reviews, and write requirements precise enough to build from.

Nice to have:

• Background in IAM, IGA, or PAM - you know what an entitlement, a group, and a joiner-mover-leaver process actually are
• Product management experience, especially owning a platform or infrastructure component that other teams build on
• Experience with agentic AI or LLM-based systems - particularly how context and knowledge get structured for a model to act on reliably
• Experience working with customer-facing or POC teams, turning field signal into roadmap