Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Product Manager to join our dynamic team.

What you will work on:

• Develop a comprehensive playbook for AI strategy development and use case prioritization, including guiding discovery phases and supporting both product managers and domains without dedicated PMs
• Drive the creation of AI strategies for multiple domains and prioritize new use cases, advancing several into the Proof of Value (PoV) stage
• Establish and implement standardized ways of working for AI use cases, including PoV execution, value measurement, landing decisions, and maintenance team structure
• Act as Product Manager/Product Owner for the AI accelerator, with a focus on progressing current AI initiatives into the PoV stage
• Provide ad hoc support to the broader product organization, including OKR facilitation, role modeling for PMs and POs, and coaching as needed

What you bring:

• Proven experience in product thinking and product management with a strong focus on data and AI solutions
• Demonstrated ability to scale AI products from proof of concept to production-ready deployments
• Skilled in leading fast-paced PoCs and pilots with a learning-oriented, iterative approach
• Comfortable operating in high-ambiguity environments and embracing failure as part of innovation
• Strong capability in translating complex technical capabilities into user stories and impactful product features
• Experience maintaining a backlog that balances short-term experimentation with long-term scalability
• Ability to effectively communicate AI use cases, benefits, and limitations to non-technical stakeholders
• Advocate for ethical AI practices and adherence to governance frameworks
• Familiarity with data mesh principles, including data contracts and system interoperability