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.

Experience
4-7 yrs