Senior Product Manager

This is a remote position.

Product Strategy and Roadmap

• Develop and execute a product strategy aligned with Rayda's business objectives.
  

• Own product discovery, customer research, competitor analysis, and roadmap prioritisation.
  

• Define product objectives, success metrics, and measurable business outcomes.
  

• Identify opportunities to improve existing products and introduce new capabilities.
  

Stakeholder Management and Collaboration

• Collaborate with Engineering, Design, Sales, Customer Success, Operations, Finance, and Compliance.
  

• Gather, evaluate, and prioritise product requirements based on customer needs and business value.
  

• Communicate roadmap decisions, timelines, dependencies, and trade-offs.
  

• Establish structured feedback and engagement processes across teams.
  

Product Development and Delivery

• Translate business requirements into clear product requirement documents (PRDs), user stories, and acceptance criteria.
  

• Own backlog prioritisation, sprint planning coordination, and product delivery tracking.
  

• Work closely with Engineering to manage technical dependencies and development priorities.
  

• Ensure product documentation is accurate and accessible.
  

Quality Assurance and Release Management

• Establish effective product testing, bug tracking, and release management processes.
  

• Coordinate QA activities and ensure features meet defined acceptance criteria.
  

• Improve release readiness, product quality, and delivery predictability.
  

• Establish clear product sign-off and escalation procedures.
  

Product Analytics and Performance

• Implement and optimise product analytics tools, including PostHog or similar platforms.
  

• Monitor feature adoption, user engagement, product utilisation, and customer journeys.
  

• Develop dashboards and performance reports to support data-driven decisions.
  

• Use product insights and customer feedback to drive continuous improvement.
  

AI-Powered Product Development

• Leverage AI tools to accelerate product research, documentation, prototyping, and experimentation.
  

• Build functional prototypes and micro-products using AI-assisted development tools.
  

• Validate new product ideas through rapid experimentation.
  

• Identify opportunities to integrate AI capabilities into Rayda's products and internal workflows.
  

Product Leadership

• Establish scalable product management processes and operating standards.
  

• Drive alignment between Product, Engineering, Design, and business teams.
  

• Promote accountability, effective communication, and continuous improvement.
  

• Identify process and capability gaps as the product organisation scales.
  

• Minimum of 7 years of product management experience, including at least 3 years in a senior product management role or equivalent.
  

• Proven experience managing the end-to-end product lifecycle in a SaaS or technology environment.
  

• Demonstrated ability to develop product strategies, manage roadmaps, and prioritise competing business requirements.
  

• Strong experience collaborating with Engineering, Design, QA, and cross-functional stakeholders.
  

• Experience establishing product development, QA, bug resolution, and release management processes.
  

• Hands-on experience with product analytics tools such as PostHog, Mixpanel, or Amplitude.
  

• Practical experience using AI tools for product development, prototyping, and workflow automation.
  

• Strong analytical, communication, stakeholder management, and leadership skills.
  

• Good understanding of APIs, webhooks, third-party integrations, SaaS architecture, databases, and technical dependencies.
  

• Experience with B2B SaaS, enterprise software, or IT operations products is an advantage.
  

Within the first six months, the successful candidate will have:

• Established a clear and prioritised product roadmap.
  

• Implemented structured product discovery and requirements management processes.
  

• Improved sprint planning, delivery visibility, and release management.
  

• Introduced effective QA coordination and bug resolution frameworks.
  

• Established actionable product analytics and performance dashboards.
  

• Demonstrated practical use of AI in product experimentation.
  

• Improved collaboration, accountability, and product delivery predictability.