Product Manager/Product Owner

Hybrid in Sweden: Gothenburg

Product Management

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We are looking for a Product Manager/Product Owner to join our team in a hybrid working model in Goteborg and help our clients and internal teams transform business needs into well-defined technology and AI solutions while leading their delivery. You will work closely with stakeholders to understand how the business operates, shape requirements that teams can build and adopt and guide cross-functional teams through agile delivery. As a consultant, you will combine analytical rigor and structured delivery management with an advisory mindset, helping stakeholders prioritize, make informed decisions and realize measurable value.

You will take ownership of one or more products or workstreams, working with client stakeholders, architects, engineers and specialists. Assignments may vary in size, industry and delivery model, requiring flexibility to support diverse priorities across client engagements and internal initiatives.

Responsibilities

Work with business stakeholders and users to understand goals, current processes, pain points, and constraints, and translate them into clear problem statements, product scope, and measurable success criteria
Facilitate discovery activities such as interviews, workshops, and process walkthroughs, and map current and target business processes and capabilities
Define, prioritize, and maintain requirements as epics, user stories, and testable acceptance criteria, covering business rules, data, integrations, edge cases, and non-functional needs
Set up and run agile delivery, adapting Scrum, Kanban, or hybrid approaches to the product, and refine the backlog, sprint planning, reviews, and retrospectives
Plan and track scope, schedule, budget, resources, and dependencies, and keep delivery transparent through regular reporting and clear status updates
Identify and manage risks, issues, and dependencies early, and escalate decisions beyond the product's scope in a timely way
Act as a main point of contact for client and internal stakeholders, facilitate workshops, steering meetings, and reviews, and build agreement across teams
Coordinate cross-functional, often distributed teams, including vendors and partners, creating a collaborative and accountable working environment
Identify where AI can support business processes, and manage AI and data initiatives from discovery and proof of concept through production adoption, working with AI specialists on feasibility, data readiness, evaluation, and responsible use
Use AI tools responsibly to support analysis and product work, such as summarizing input, drafting requirements, planning, and reporting, while following client and company data-handling rules

Requirements

Proven experience in business analysis and/or product management on IT, digital, or technology products, preferably in a client-facing or consulting environment
Strong skills in requirements elicitation, documentation, and prioritization, including user stories, acceptance criteria, and process modeling (for example BPMN or UML), and strong skills in planning, scope management, budget and resource tracking, and risk and issue management
Solid practical experience with agile methods and frameworks such as Scrum, Kanban, or SAFe, and the ability to combine them with traditional planning where needed
Understanding of the software development lifecycle, data, and system integrations, with enough technical literacy to discuss solutions and trade-offs with architects and engineers
Working understanding of AI and generative AI use cases, limitations, and delivery considerations, such as data quality, evaluation, privacy, and human oversight
Practical experience using AI tools to support everyday work, with good judgment on when and how to use them
Strong facilitation and stakeholder management skills, including running workshops, managing expectations, handling conflicting priorities, and communicating clearly with business and technical audiences
Ability to structure ambiguous problems, lead teams, and build alignment without formal authority, including in distributed and multicultural settings
Experience with collaboration and delivery tools such as Jira, Confluence, Azure DevOps, Miro, or similar
Strong written and spoken communication skills in English

Nice to have

Experience in the automotive industry or similarly complex manufacturing or engineering environments
Experience delivering AI, data, or cloud transformation products
Business analysis, agile, or product management certifications, such as CBAP, CCBA, PSPO, PSM, PMP, PRINCE2, or SAFe; equivalent applied experience is equally valuable
Experience with the commercial side of delivery, such as fixed-price or time-and-materials engagements, estimation, and contract management
Experience with data analysis, SQL, or reporting tools such as Power BI
A degree in business, technology, engineering, or a related discipline, or equivalent professional experience