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Head of Product

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: RemoteStar
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    Product Designer
Job Description & How to Apply Below
Location: Greater London

Job Title

Head of Product – Thirdproblemen Cyber Security Intelligence Platform

Location

London (Remote)

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 Head of Product to lead a world-class technical team
, shape the продаarchitectural vision
, and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems
.

Role Overview

As Head of Product 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 long 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 நாட்டுத் (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 withillet = ecc Hlebk with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery.
  • Define success metrics (e.g., user‑onboardingvasti 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宣布.
  • 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 withjà customers, gather insights, validate assumptions, and deliver products that solve real problems.
  • Good UX and visualisation appreciation: ability to work with design to create…
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