Product Manager - Exposure Management

Prevalent AI·Kochi·Onsite

Product ManagerAI

Experience

Not specified

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

Kochi

Posted

4 days ago

About the role

Role purpose:

Do you want to help organisations find and fix their most critical exposures before attackers do? At Prevalent AI, our Exposure Management application sits on top of our Data Fabric platform as our flagship application — unifying asset, vulnerability, identity, and control data into a knowledge graph of interconnected security entities. Powered by agentic AI prioritization, it delivers contextual, actionable intelligence that shifts clients from reactive vulnerability management to proactive, pre-emptive risk reduction aligned with Continuous Threat Exposure Management (CTEM).

As Product Manager for Exposure Management, you will own the strategy, roadmap, and growth of the Exposure Management application — from attack surface visibility and risk-based prioritisation through to remediation workflows, attack path mapping and measurable exposure reduction. You will work closely with clients, go-to-market teams, and engineering to identify the highest-value opportunities, sharpen the application’s differentiation, and unlock cross-sell within existing accounts. You will balance near-term delivery with long-term vision — delighting clients today while contributing to a platform where clients create and bring their own agents. If you’re passionate about turning complex exposure data into decisions that matter — join us.

Key accountabilities:

Strategy & Vision

Define and own the product vision and roadmap for the Exposure Management application, ensuring

What you'll bring

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 threat and exposure management, including vulnerability management, attack surface management, identity security, and risk-based prioritisation.
Familiarity with frameworks such as CTEM, and a practical understanding of attack surfaces, attack paths, misconfigurations, control gaps, and shadow IT.
Experience working with or alongside vulnerability management or security operations teams — understanding how practitioners assess, prioritise, and remediate exposures in practice Hands-on familiarity with exposure management tooling — such as vulnerability scanners, EASM/CAASM platforms, attack path or exposure graph engines, and risk scoring approaches — 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.