Senior Product Manager, Real-Time Data (Remote - UK)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Product Manager, Real-Time Data in the United Kingdom.

As a Senior Product Manager for real-time data, you will drive the strategy and execution of event-driven data capabilities that empower users to monitor, analyze, and respond to critical activities in cloud environments. You will define roadmaps, build requirements, and collaborate closely with cross-functional teams to ensure delivery of high-impact features. This role offers the opportunity to influence the evolution of real-time systems, enhance operational efficiency, and help customers make faster, smarter decisions. You will work in a fast-paced, global environment, balancing technical understanding with business insight to shape product strategy and improve the overall customer experience. Your work will directly impact product adoption, satisfaction, and long-term business success.

Accountabilities:

• Develop a deep understanding of business objectives, customer needs, and user behaviors in real-time data contexts.
• Identify and prioritize key problems to address strategically and competitively.
• Build and communicate a coherent product strategy and roadmap with measurable objectives.
• Define detailed product requirements and phased delivery plans to ensure superior customer experience.
• Track progress, document results, and maintain clear communication across stakeholders.
• Collaborate with executives, cross-functional teams, and technical leadership to align strategy with operational needs.
• Maintain market awareness and ensure differentiation of product features.
• Validate feature readiness and ensure smooth release to production environments.

• 5+ years of experience in product management roles for B2B SaaS products, preferably with technical users.
• Strong understanding of cloud technologies, real-time data systems, and SaaS architectures.
• Experience building products involving real-time data processing, analytics, or AI/ML applications.
• Knowledge of anomaly detection, predictive analytics, or data science concepts is a plus.
• Self-motivated, proactive, and able to triage, prioritize, and drive consensus in high-pressure situations.
• Ability to influence and collaborate across engineering, design, and business teams.
• Strong technical acumen to engage productively with engineers.
• Skilled in balancing business objectives with technical feasibility to define product roadmaps.
• Adaptable to fast-changing SaaS markets and comfortable making decisions with imperfect information.
• Fluent English communication skills, both verbal and written.