Junior Product Manager
Primary stack
Nice to have's
Job description
About the Position
We hire for one thing above all: the ability to take a product, make the decisions, ship it, and show what moved. Not "responsible for an area". Accountable for a result you can explain.
Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one – a next-generation, fully personalized and AI-driven customer experience.
We successfully deliver an all-in-one tool - Synerise. An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually.
However, we don't limit ourselves solely to this solution. We're building BaseModel - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate AI's potential for the business.
Having such great solutions, we are looking for a highly motivated Junior Product Manager to join our Product Team.
Responsibilities
- Work on one of our key product areas or cross-functional features on the platform, supporting Product Managers in product discovery, delivery, and day-to-day product operations.
- Start with an onboarding across the product, not inside a single corner of it. You work with the PMs who own the areas today, join releases, client requests, and planning, and take responsibility for real pieces of product work from the first weeks.
- As you grow, you will gradually take ownership of features, initiatives, and product decisions. The scope you start with matches your experience and grows as you prove it.
- Work directly with Product Managers, engineering leads, designers, data scientists, and the teams that implement Synerise at clients.
- Participate in client conversations, product planning, requirement gathering, documentation, and release activities, gaining hands-on experience across the full product lifecycle.
Requirements
- 1+ year of experience in SaaS as Product Manager, Product Owner, Business Analyst or similar.
- A product you can describe end to end. Something you were accountable for: what it was before, what you decided, what shipped, what moved, what you got wrong. A capability, a feature, a side project with real users, or a process you owned all count - depth matters, scale does not.
- Familiarity with the agentic stack. You know how today's AI agents are built and extended (skills, MCP servers, connectors to tools and data) and you use them in your own work every day. You keep up as this stack changes and can tell what is worth adopting.
- Technical fluency. You read an API doc, a data model, and a query without help, and you prototype with current AI tools.
- Product judgment over process. You know what to cut and can say why.
- Clear communication in Polish and English (at least C1), with engineers and with clients.
Nice to Have
- Experience with Synerise or similar platforms: behavioral data, personalization, customer data, or marketing automation.
- A background in e-commerce, retail, banking, or telco.
- Hands-on experience with AI products - building them or shipping on top of them.
- Decisions backed by data. You define a metric, pull the number, and change course because of it.
- First experience in B2B software. The more you have, the larger the scope you start with us.
We Offer
- Innovative Work: Hands-on experience with AI, Automation & Big Data technologies.
- Real Impact: Work on products and functionalities with different maturity levels, influencing their future shape.
- Collaborative Environment: Lead diverse teams with expertise in AI, software engineering, and business intelligence.
- Opportunity to work with cutting-edge technology and AI-driven projects.
About the Company
We'd love to hear from you. Apply now and join our team.
Location
- Cracow, Poland (hybrid)
- Warsaw, Poland (hybrid)
Salary
- 9 000 – 15 000 PLN + VAT / month
Employment Type
- Full-time
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Retail,E-Commerce,Banking,Telecommunications,Fashion
About the Company Synerise specializes in using AI and Big Data to transform business insights into actionable strategies. The company offers a cutting-edge Behavioral AI Infrastructure that empowers organizations to predict behaviors and make data-driven decisions. Synerise builds every layer of its AI infrastructure from scratch, ensuring no dependency on third-party AI, databases, or cloud vendors. The company's proprietary technology allows for real-time predictions, personalization, and automation at an enterprise scale. Products, Services & Tech Stack Core Solutions Behavioral Data Hub: Absorbs and transforms behavioral profiles in real time and at any scale. Data Modeling Hub: Offers a unified data layer for real-time ingestion and analysis. Predictive Inference & Recommendation Models: Applies supervised and self-supervised learning for intent inference and item-level recommendations. Orchestration & Adaptive Workflow Execution: Composes multi-step workflows with conditional branching and system synchronization. Content & Activation Profiles: Dispatches behavioral interventions across multiple channels with context-aware selection and frequency optimization. Technologies & Frameworks Proprietary AI Infrastructure: Built in-house from TerrariumDB to BaseModel.ai. Real-Time Processing: Capable of handling 31 billion events per month with sub-millisecond latency. Scalability: Designed to scale linearly with horizontal scalability. Security: ISO 27001 certified, GDPR compliant, and SOC 2 certified. Project Scope & Target Clients Client Base Retail: Empik, Las Tijeras Mágicas, MIG Marketing Investment Group, Modivo Fashion & Sport: Nike Chile Telco: Orange Banking: BNP Paribas E-Commerce: Minimalism Engineering Scale Global Scale: Powers real-time data, AI, and automation at planetary scale. Performance Metrics: Handles 31 billion events per month, 90 billion queries to the TerrariumDB per month, and 3.8 billion AI recommendations, searches & predictions per month. Infrastructure: Operates on a Kubernetes cluster with 16,400+ pods, 750+TB disk size, 890+ nodes, 420+ virtual machines, 71+TB RAM, and 14,400+ vCPU.
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