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Product Manager – (Cybersecurity)

Remote Full-time Live

Job Title: Product Manager – Third-Party CyberSecurity Intelligence Platform

Location: UK (or Remote/Hybrid)

Reports to: CEO

About the Client

Our client helps enterprises discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence. Their mission is to deliver continuous, data-backed visibility into the extended enterprise — enabling organizations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk.

As they continue to scale their platform, we are seeking a Director of Engineering to lead a world-class technical teamshape the architectural vision, and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems.

Role Overview

As Product Manager you will be responsible for owning the product roadmap and execution for one or more major modules of our platform (e.g., discovery & mapping, risk scoring & analytics, automated response). You will work closely with the CTO/founder, engineering, data/AI teams, UX/design, marketing, and customer-success to define product strategy, prioritise features, and deliver value to customers and the business.

You will play a key role in shaping the product direction, defining metrics, understanding market/competitive dynamics, and ensuring that we build a product that addresses real pain points for our users (e.g., cybersecurity/risk teams, GRC teams, supply chain teams).

Key Responsibilities

  • Define and maintain a compelling product vision and roadmap aligned with business goals, customer needs and market dynamics (third-party risk, supply chain resilience, AI-driven intelligence).
  • Engage deeply with customers (prospects, existing users) to understand their workflows, pain points, and desired outcomes; translate those into product requirements.
  • Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery.
  • Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time to respond, customer retention/expansion) and monitor product performance.
  • Conduct competitive analysis, market research, and stay on top of trends in cybersecurity, third-party risk management, supply-chain tech, AI/analytics.
  • Collaborate with UX/design to deliver intuitive user flows, dashboards, and visualisations that make complex risk-data understandable and actionable for non‐technical users.
  • Liaise with marketing/sales to define product positioning, value propositions, launch campaigns and enable sales with product-led collateral and demos.
  • Work with customer‐success/solutions teams to capture feedback, iterate features, and drive product adoption and upsell.
  • Manage cross‐functional dependencies, ensure on‐time delivery of features and releases, and mitigate risks.
  • Evangelise the product internally and externally (e.g., customer calls, webinars, product demos).

Required Qualifications & Skills

  • Proven experience (typically 3-7 years) as a Product Manager (or Senior PM) in a SaaS environment.
  • Experience working on data-/analytics/AI-driven products (bonus if in cybersecurity, supply-chain risk, third-party intelligence or adjacent domains).
  • Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams.
  • Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven features and clear user value.
  • Excellent stakeholder communication skills: able to engage with engineers, designers, data scientists, sales, and customers.
  • Analytical mindset: comfortable defining and using KPIs/metrics to drive decisions, and analysing data to inform prioritisation.
  • Strong user-centric mindset: able to engage with customers, gather insights, validate assumptions, and deliver products that solve real problems.
  • Good UX and visualisation appreciation: ability to work with design to create dashboards/reports that non-technical users can leverage.
  • Comfortable in a fast-moving, early/mid‐stage start-up environment; able to wear multiple hats, pivot when required, and drive results with limited resources.
  • Bachelor’s degree in business, engineering, computer science, or equivalent; advanced degree is a plus.

Desired / Nice to Have

  • Experience in cybersecurity, risk management, GRC (governance, risk & compliance) or supply-chain risk management.
  • Familiarity with third-party/ vendor risk management platforms and frameworks (e.g., NIST, ISO 27001, SOC2, supply-chain risk standards).
  • Understanding of machine-learning/AI concepts (e.g., risk-scoring models, graph analytics, anomaly detection).
  • Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams.
  • Experience with visualising large-scale graph data sets or complex network interactions.
  • Experience launching SaaS modules, working with freemium to paid conversion, and driving monetisation strategies.
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