Senior Product Owner - AI & Agentic Automation

SnapSoft is a leading AWS (Amazon Web Services) Premier Tier Partner specializing in cloud migrations, Generative AI (GenAI), DevOps, and application development. We help startups, SMEs, and enterprises drive innovation, reduce costs, and enhance security. Using our expertise, we seamlessly implement AI solutions, assist with migrations to AWS, and optimize DevOps process velocity. Our experienced team holds renowned AWS certifications, including the AWS Generative AI Competency, the Migration Acceleration Program, and the DevOps Competency. Through our scalable and secure applications, we are shaping the future of innovative technologies.

To drive that growth we are looking for a SeniorProduct Owner to own SnapSoft's internal AI and agentic automation portfolio. You will manage a pipeline of internal AI initiatives across all our departments, from the first idea to production rollout.

You will mostly work with external partners, so your job is to collect business needs, package them into clear requirements, have trusted vendors build the solutions, and then lead change management and rollout. Once a solution is stable, you hand day-to-day operations over to our internal operations team.

We use the same cutting-edge technologies and processes internally that we deliver to our clients. One example: CRM automation with AI agents, so sales colleagues no longer need to maintain the CRM by hand. Every department has a list of similar automation ideas, and you will take them on one after another.

In your first year you focus on internal projects. After that, you move into client delivery projects, where your business analysis and consulting skills matter more. This is a consultative role that goes beyond classic project management.

What you'll be doing

• Own the internal agentic portfolio from a build-and-rollout perspective: prioritize use cases, plan and track delivery across several initiatives in parallel.

• Gather requirements from stakeholders in every department, align them, and translate them into requirements that external partners can build against.

• Manage external vendors and partners who build the solutions, and review the results.

• Align the architecture with our delivery teams, so every solution fits our existing platforms and standards. Our AI/ML delivery colleagues provide technical guidance.

• Lead change management and rollout, and prepare the handover to internal operations.

• Work closely with internal AI Engineering colleagues on sensitive or system-integration-heavy use cases.

• Keep several projects moving at different maturity stages at the same time, for example, starting a new one while another waits for department feedback.

• After the first year, apply the same skills on client delivery projects as a business analyst and consultant.