Product Manager - Cyber Applications

Do you want to own products that help organisations stop threats before they cause harm? At Prevalent AI, our Cyber Domain Applications sit on top of our Data Fabric platform — delivering contextual, actionable intelligence across Exposure Management, Insider Threat, SIEM Replacement, and Detection & Response. Powered by a knowledge graph and agentic AI prioritisation, our use cases are designed to shift clients from reactive security operations to proactive, pre-emptive risk reduction.

As Product Manager for Cyber Domain Applications, you will own the strategy, roadmap, and growth of our use case portfolio — proving a repeatable model that scales across verticals and client segments. You will work closely with clients, go-to-market teams, and engineering to identify the highest-value opportunities, shorten deal cycles through stronger sales tooling, and unlock cross-sell within existing accounts. You will balance near-term delivery with long-term vision — building use cases that delight clients today while laying the foundation for a platform where clients create and bring their own agents. If you're passionate about turning complex security data into decisions that matter — join us.

Key accountabilities

Strategy & Vision

• Define and own the product vision and roadmap for Cyber Domain Applications, ensuring alignment with client outcomes, business goals, and the evolving threat landscape.


• Guide the development of high-level features, Epics, and use cases — grounded in real-world security workflows and informed by AI-powered knowledge graph insights.


• Leverage market intelligence, client feedback, and competitive analysis to prioritise the use case portfolio and identify opportunities for innovation.

Client & Market

• Partner with Sales, Marketing, and Client Solutions teams to ensure the use case portfolio remains client-focused and keeps pace with the evolving market.


• Translate complex cybersecurity challenges into actionable, outcome-driven product features that shift clients from reactive to proactive security operations.


• Identify pain points and innovation opportunities through deep client engagement and data analysis.


• Work closely with Sales and go-to-market teams to shorten deal cycles, strengthen sales tooling, and unlock cross-sell opportunities within existing accounts.

Engineering & Delivery

• Partner with Engineering and Product Development teams to ensure the design and implementation of use cases aligns with client and market demands, whilst remaining deliverable and maintainable.


• Provide knowledge transfer and guidance to Data Analysts, Engineers, and Data Scientists — ensuring the broader development team understands the client challenges and security problems the applications address.

Go-to-Market

• Collaborate with Sales and Marketing teams to inform the creation of product marketing material and support go-to-market execution.

Leadership & People Management

• Lead, manage, and develop a team of Product Owners, providing clear direction, regular feedback, and support for their professional growth.


• Set objectives for the Product Owner team that are aligned with the broader product strategy, and hold regular 1:1s and performance reviews.


• Foster a high-performing team culture built on accountability, collaboration, continuous improvement, and agile ways of working.


• Champion agility, iterative learning, and innovation across product and engineering teams.

Skills and Experience

Essential

Product Management

• Proven experience in product management, with a track record of owning strategy, roadmap, and full lifecycle delivery of complex technology products.


• Deep understanding of agile development and end-to-end product delivery, with strong prioritisation skills focused on client value and business impact.


• Skilled at balancing immediate client needs with long-term product vision, using data, market research, and competitive analysis to drive decisions.

Cybersecurity Domain

• Strong understanding of the cybersecurity landscape, with hands-on knowledge of threat and exposure management, vulnerability management, identity security, detection and response, and risk reduction strategies.


• Familiarity with frameworks such as Zero Trust and CTEM, and a practical understanding of attack surfaces, misconfigurations, control gaps, and shadow IT.


• Experience working with or alongside security operations teams — understanding how analysts work, what slows them down, and what good looks like in practice.


• Hands-on familiarity with security platforms and tooling — such as SIEM/SOAR, EDR, ASM platforms, and vulnerability scanners — including key operational pain points and workflow patterns.

AI & Data

• Demonstrable experience shipping AI-powered products, with a working understanding of how ML models, LLMs, and AI-driven insights are integrated into product experiences.


• Experience translating complex data and AI-driven outputs into actionable, client-focused product features that drive measurable security outcomes.

Leadership & Communication

• Experience leading and developing product teams, including line management of Product Owners.


• Confident communicator, adept at presenting to senior stakeholders and leadership.


• Proven ability to build strong relationships across cross-functional teams including Engineering, Sales, and Client Solutions.

Desirable

• Experience working with knowledge graph concepts and entity-relationship data modelling — understanding how interconnected data can be used to surface contextual security intelligence.


• Familiarity with agentic AI frameworks or AI-assisted workflows in a security operations context.


• Experience building use cases on top of a shared data platform or data fabric architecture.


• Exposure to insider threat, financial crime, or fraud detection as a product or domain area.


• Experience working in or alongside a managed security service, with an understanding of how client-facing delivery shapes product requirements.


• Familiarity with the Databricks ecosystem or similar data platforms.