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Product Manager - Cyber Applications

prevalent

CochinOn-site1mo ago
Employment
Full-time

About the role

Role Purpose:


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.


Information Security Responsibilities :


We take our security responsibilities very seriously and we trust each of our team members to do their utmost to keep our business secure and safe.  
 


  • Ensure you are aware and comply with the organization’s information security policies and procedures.  
     
  • Ensure no client data is copied or downloaded to PAI system/network
     
  • Ensure you do not access sensitive data which is not required for you to perform your job responsibilities. If in doubt, please consult with your Lead before proceeding
     
  • Ensure you attend and comply with all Information Security trainings provided by the PAI InfoSec and People team 


Education 

  • B.Tech in Computer Science, or a related fieldBachelor’s degree in Business Administration 
  • Certification in Product Management or Agile methodologies (e.g., PMI-ACP, CSPO) is a plus 

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