Senior Product Manager

Senior Product Manager

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Pulse Group

At a Glance

  • Tasks: Lead the vision and strategy for a cutting-edge Data Platform in cybersecurity.
  • Company: Join one of the UK's leading organisations in technology and cybersecurity.
  • Benefits: Enjoy flexible working, private medical insurance, and career progression opportunities.
  • Other info: Dynamic hybrid work environment with a focus on continuous learning.
  • Why this job: Shape the future of data-driven cybersecurity with innovative technologies like AI.
  • Qualifications: Proven Product Management experience and strong stakeholder management skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Pulse are partnered with one of the UK's leading organisations to help support them on their search for a Senior Product Manager to lead the vision, strategy, and roadmap for a large-scale Data Platform that sits at the heart of a complex technology and cybersecurity ecosystem. This is an opportunity to shape the future of a platform that leverages data engineering, machine learning, and generative AI to enable advanced cybersecurity capabilities at scale. You'll work closely with engineering, cybersecurity, data, and technology leaders to build products that process high-volume data, drive actionable insights, and improve security outcomes across the organisation.

What You'll Be Doing:

  • Own and evolve the product vision, strategy, and long-term roadmap for the Data Platform.
  • Partner with senior stakeholders across Technology, Cybersecurity, and Data teams to align platform capabilities with business and security priorities.
  • Lead product discovery activities, understanding user needs, pain points, and opportunities for innovation.
  • Define and manage product outcomes, KPIs, and OKRs, ensuring measurable value delivery.
  • Translate complex user and stakeholder requirements into clear product requirements, user stories, and prioritised backlogs.
  • Work closely with engineering teams to plan, prioritise, and deliver high-impact solutions.
  • Drive adoption and continuous improvement of platform capabilities through data-driven decision making.
  • Champion customer and stakeholder needs while balancing technical constraints and strategic goals.

What We're Looking For:

  • Proven experience in Product Management, including defining strategy, owning roadmaps, and delivering measurable outcomes.
  • Strong stakeholder management skills with the ability to influence and align senior leaders and cross-functional teams.
  • Experience working with large-scale technology platforms, data products, or cloud-based systems.
  • Understanding of platform health metrics such as uptime, response times, SLAs, and SLOs.
  • Knowledge of data engineering, analytics platforms, and modern data technologies.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Understanding of cybersecurity principles and practices.
  • Experience working with AI, machine learning, or data-driven products is highly desirable.
  • Start Up / Scale Up Experience highly desirable.

What's On Offer:

  • Annual bonus of up to
  • Private medical insurance
  • Life assurance
  • Enhanced parental leave policies
  • Flexible and hybrid working options
  • Ongoing learning, development, and career progression opportunities

Senior Product Manager employer: Pulse Group

Pulse Group is an exceptional employer located in the vibrant Greater London area, offering a collaborative work culture that fosters creativity and innovation. With a focus on employee growth, you will have the opportunity to take ownership of your projects while benefiting from competitive salaries and comprehensive benefits. Join us to shape user experiences for millions and advance your career in a supportive environment.

Pulse Group

Contact Details:

Pulse Group Recruitment Team

We think you need these skills to ace Senior Product Manager

Product Management
Stakeholder Management
Data Engineering
Machine Learning
Generative AI
Cloud-based Systems
Data Analytics