
At neXa, we’re not just building digital solutions — we’re helping businesses grow smarter. We work with forward-thinking clients across industries to design, build, and implement technology that makes a real difference. From intelligent automation to custom applications, our projects are as diverse as our team.
We’re now looking for a Senior Product Manager to join a high-energy team responsible for shaping data-driven digital products powered by machine learning. In this role, you will lead the end-to-end product lifecycle, driving discovery, prioritization, experimentation, and delivery while collaborating closely with Engineering, Data Science, and business stakeholders. You will transform strategic objectives into measurable product outcomes, balancing business value, technical feasibility, and user impact.
Responsibilities:
Own the end-to-end product lifecycle, from problem discovery and product strategy to successful delivery and measurable business outcomes
Define product vision, objectives, and roadmaps aligned with business priorities and long-term strategy Lead discovery activities to identify customer needs, validate hypotheses, and prioritize product opportunities
Drive the development of ML-enabled product capabilities in close collaboration with Engineering and Data Science teams
Translate business goals into clear product requirements, success metrics, and actionable roadmaps
Prioritize product backlog based on business impact, KPIs, technical feasibility, and user value
Coordinate cross-functional delivery, ensuring alignment between technical and business stakeholders
Support product decisions through experimentation, A/B testing, and data-driven analysis
Monitor product performance and continuously optimize solutions based on measurable outcomes
Communicate product strategy, progress, and recommendations to senior stakeholders
Promote continuous improvement of product management practices and collaborative ways of working
Requirements:
Proven experience as a Product Manager delivering digital products and medium-term strategic roadmaps (6–12 months)
Strong experience defining product problems, measurable outcomes, and business success metrics
Practical understanding of machine learning-enabled products and collaboration between Product, Engineering, and Data Science teams
Experience working in data-driven environments with frequent experimentation and A/B testing
Strong business acumen and experience prioritizing initiatives based on KPIs and measurable business value
Experience working with large-scale datasets and highly analytical product environments
Excellent stakeholder management and communication skills, including collaboration with senior business leaders
Strong experience in roadmap planning, backlog prioritization, and product discovery frameworks
Ability to balance business value, technical feasibility, and user needs when making product decisions Experience using AI-assisted tools to support product discovery, synthesis, and hypothesis generation
Native-level Polish
Good command of English (B2+ level or higher)
Nice to have:
Experience in AdTech, digital advertising, marketplace platforms, or recommendation systems
Experience managing products built around experimentation platforms and continuous A/B testing
Experience collaborating with platform, data, or machine learning engineering teams
Familiarity with auction-based monetization models and ranking systems SQL literacy and ability to interpret analytical data independently
Experience designing product KPIs and success metrics for ML-enabled products