Product Manager Security Data Fabric

The candidate will have responsibilities across the following functions:

Product Strategy and Prioritisation:

• Own and evolve the roadmap for Security Data Fabric capabilities, including ingestion, routing, enrichment, transformation, and integrations.
• Lead prioritisation based on customer impact, business value, and engineering effort.
• Balance near-term delivery with long-term platform strategy.
• Clearly communicate priorities, trade-offs, and decisions to stakeholders.

Product Execution:

• Translate product strategy into detailed requirements, user stories, and acceptance criteria.
• Partner closely with engineering teams throughout design, development, and delivery.
• Use modern PM and AI-assisted tools such as Cursor to accelerate requirement creation, analysis, and iteration.
• Review and iterate on product designs using Figma and rapid prototyping tools such as v0

Release Management and Documentation:

• Own and publish clear, customer-facing release notes for all product updates.
• Drive high-quality product documentation, including feature guides and technical overviews.
• Ensure internal teams are enabled with accurate and up-to-date product information.

Customer and Market Engagement:

• Work directly with customers to understand security data workflows and operational challenges.
• Partner with sales and customer success to support product adoption and feedback loops.
• Stay current on trends in security data platforms, SIEMs, cloud security, and observability.

Cross-Functional Collaboration:

• Collaborate closely with engineering, design, marketing, sales, and customer success.
• Support product launches and go-to-market initiatives.
• Act as a product subject-matter expert for Security Data Fabric capabilities.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of product management experience in B2B SaaS, platform, or infrastructure products.
• Strong understanding of distributed systems, APIs, and cloud-native architectures.
• Experience owning product roadmaps, prioritisation, and end-to-end delivery.
• Demonstrated ability to write clear product requirements, documentation, and release notes.
• Hands-on experience with tools such as Figma and modern PM workflows (including AI-assisted tools like Cursor).
• Strong communication skills and ability to work effectively with engineering teams.

Preferred Qualifications:

• Experience with security data platforms, SIEMs, log management, or security analytics.
• Familiarity with high-volume or real-time data pipelines.
• Experience working with AWS, GCP, or Azure.
• Prior experience in security, observability, or data infrastructure startups.
• Experience collaborating with globally distributed teams.