Technical Product Manager

About the role

Certis designs, builds and operates smart security and integrated services. Mozart is our intelligent command and control operations orchestration platform, bringing manpower, robots, AI and other systems together.

We are expanding our product management team. You will own a product area or group of modules, improving existing capabilities, developing AI-enabled features and supporting expansion into new markets. You will also mentor colleagues, with opportunities to grow into team leadership.

What you'll do

• Understand user needs through internal stakeholders, customers, sales teams and operational visits.
• Shape user journeys and build working, clickable prototypes to validate solutions.
• Define requirements, prioritise the backlog and recommend roadmap priorities.
• Partner with engineering on delivery, and use product data and feedback to guide improvements.
• Set up and troubleshoot product demos and test environments, including APIs and data flows.
• Mentor colleagues, coordinate product work and improve product practices and documentation.

What you'll bring

• At least 4 years of relevant experience in product management, product ownership, software development or a related role, with demonstrated ownership of software products or substantial features.
• Technical fluency to account for engineering constraints, assess the feasibility of product features and make informed recommendations.
• Strong stakeholder communication and prioritisation skills, with experience guiding colleagues or coordinating teams.

Strongly preferred

• Software development experience, including application integration and debugging. Writing production code is not a primary responsibility.
• Practical experience using Docker for local tests and demos, running scripts and automations from the
• command line, testing APIs with Postman or similar tools, querying SQL databases and interpreting JSON payloads. A working understanding of web application architecture.
• UI/UX competency, demonstrated through professional work or personal projects.
• Experience building working, clickable web or mobile prototypes, using tools such as Claude, Codex,
• Figma Make or similar tools. These may come from professional work or personal projects.
• Education in engineering, software, AI, data analytics or a related field is highly valued but not essential.
• Experience with enterprise software, AI-enabled products or complex operational environments.