Product Owner with AI

Seargin; Polska; Remote; PLN 180,000 - 280,000; Full time

Job summary

Seargin is seeking an experienced Product Owner to lead the Finance Forecasting Hub. This remote-from-Poland role combines Finance, analytics, ML, GenAI and agentic AI to transform ambiguous problems into tangible product outcomes.

You will own problem framing, discovery, MVP development, production delivery, and scaling for global stakeholders. Responsibilities span strategy, backlog prioritization, and cross-functional collaboration with AI, data, and engineering teams to deliver measurable

Qualifications

• Proven end-to-end ownership of complex digital products with clear outcomes.
• Measurable value delivery at speed through MVPs and fast learning cycles.
• Experience applying AI/GenAI to business problems and product shaping.
• Ability to align global stakeholders and manage competing priorities.

Responsibilities

• Define product strategy and roadmap with finance and analytics teams.
• Prioritize backlog based on value, risk, and dependencies.
• Lead delivery with cross-functional squads and ensure rapid value realization.
• Partner with AI, data, and engineering to design data/model requirements.

Skills

End-to-end product ownership

Agile product delivery

AI/GenAI product experience

Stakeholder management

Job description

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

About the role

Currently, for a new Seargin project we are looking for experienced IT Product Owner to lead the Finance Forecasting Hub. The role sits at the intersection of Finance, advanced analytics, machine learning, GenAI and agentic AI. You will act as a thought partner to Finance leaders, turning ambiguous business problems into clear product outcomes and shaping effective technical solutions. You will own the path from problem framing and discovery through prioritization, MVP, production, and scaling. Success means delivering useful capabilities quickly, simplifying complexity and dependencies, and building trust across a demanding global stakeholder landscape.

Employment Type: contract

FTE: full-time

Working mode: remote from Poland

Responsibilities

Product Strategy & End-to-End Ownership

• Co-create product outcomes, success measures, and epics with Finance customers; challenge assumptions and clarify the problem before defining the solution.
• Translate strategy into a focused roadmap and the smallest valuable increments, features, and user stories.
• Own and prioritize the product backlog based on business value, learning, risk, dependencies, and capacity.
• Maintain a clear medium- and long-term roadmap while adapting quickly as evidence and priorities change.
• Identify and shape technical solutions for the business problems.
• Partner with Applied AI, data, and engineering experts to select fit-for-purpose approaches and define data, model, evaluation, and integration needs.
• Drive AI-enabled capabilities from discovery and experimentation into production, adoption, and measurable business outcomes.
• Make informed product decisions on AI quality, limitations, human-in-the-loop design, risk, privacy, governance, and operational sustainability.

Delivery & Value at Speed

• Lead delivery with the Scrum Master and squad, maintaining clear ownership of product decisions and outcomes.
• Use prototypes, experiments, and MVPs to shorten learning cycles and deliver value early.
• Remove blockers, reduce dependencies, and simplify scope before adding process or coordination.
• Make pragmatic trade-offs between value, speed, quality, risk, and complexity.
• Continuously improve time to value using outcome and delivery metrics.
• Shape squad capabilities to match planned increments, bringing in the right product, engineering, data, analytics, ML, AI, and Finance expertise.
• Create clarity for the squad on the problem, priorities, acceptance criteria, and definition of success.
• Partner effectively with the Applied AI organization to align on architecture and technology.

Stakeholder Thought Partnership & Leadership

• Act as a trusted thought partner to Finance customers, combining curiosity, constructive challenge, and product judgment.
• Navigate competing priorities, ambiguous ownership, and conflicting stakeholder needs; create alignment without waiting for perfect consensus.
• Facilitate difficult scope and prioritization decisions using evidence, business value, and transparent trade-offs.
• Balance global reusable capabilities with legitimate local needs.
• Communicate credibly with senior business leaders and technical teams, especially when decisions are difficult or uncertain.

Requirements

• Strong end-to-end product ownership experience for complex digital products, with clear accountability for outcomes rather than only project delivery or backlog administration.
• Demonstrated record of delivering measurable value at speed through prioritization, MVP thinking, fast learning cycles, and dependency reduction.
• Deep practical knowledge of applying advanced analytics, machine learning, GenAI and/or agentic AI to business problems, including shaping technical solutions and understanding the trade-offs and limitations of these approaches.
• Practical experience shaping and delivering AI-enabled products or capabilities, with a clear understanding of production, adoption, and evaluation considerations.
• Proven ability to act as a thought partner to internal customers: frame problems, challenge assumptions, shape options, and influence decisions.
• Proven ability to navigate complex global stakeholder situations, competing priorities and cross-product dependencies.
• Strong Agile product delivery, roadmap, and backlog-prioritization skills.
• Experience shaping multidisciplinary teams and working across product, engineering, data, and business functions.

To learn more about Seargin, please visit our web page: www.seargin.com