Top Tech Jobs & Startup Jobs in Poland

Coordinate production planning and sourcing activities for Polaroid’s Poland manufacturing facility. Create production plans, monitor inventory and capacity, support procurement and supplier onboarding, maintain ERP master data, track purchase orders and deliveries, and prepare KPI reports. Collaborate with manufacturing, engineering, finance, warehouse, quality, and sourcing teams to ensure material availability, support factory ramp-up and new product introduction, improve supplier performance, and strengthen planning and sourcing processes.

Lead and grow a backend engineering team operating with AI-assisted development. Own delivery quality and predictability, hiring, performance management, technical direction, and team development. Partner closely with Product, engage directly with freight customers, and help establish effective AI engineering practices, agent guardrails, review standards, and autonomous workflows. Remain hands-on approximately one day per week while improving engineering processes and outcomes across a distributed, remote-first organization.

Supports accounts payable and procure-to-pay activities, including invoice verification and posting, approval management, period-end closing support, account reconciliations, reporting, supplier inquiries, and payment proposal preparation. The role requires accounting knowledge, analytical ability, accuracy, systematic work, Microsoft Office and Excel proficiency, and English communication skills. It is a fixed-term internship beginning in October 2026, requiring at least 35 hours per week and at least two days weekly at the Krakow office.

Own product requirements from discovery through UAT, quality assurance, release, and iteration. Gather customer feedback, translate customer needs and usage data into priorities, manage product outcomes, and support customer-facing scoping and feasibility discussions. Design solutions spanning data, AI/ML, UX, and system integration while collaborating with engineering and validating customer expectations.

Own creative strategy for paid-channel growth by setting priorities, developing concepts, maintaining testing frameworks, identifying market opportunities, and improving campaign performance. Collaborate with creative leads and media buyers to test and scale campaigns, mentor creative team members, use data to guide decisions, and introduce AI-enabled workflows and innovative formats.

Create, translate, edit, and review English-Polish mobile game content; improve AI-assisted translations; coordinate localization projects; collaborate with internal teams and external vendors; support linguistic testing, localization quality assurance, internationalization guidance, and occasional player research activities.

Handles inbound and outbound customer contact activities, including order fulfillment inquiries, product and service information, marketing campaigns, complaints, returns, and technical support for multimedia products. The role also verifies customer data, conducts market research, promotes new products and campaigns, and invites customers to meetings while following procedures and supervisor instructions.

Design and develop Azure-based data platforms, ETL/ELT processes, data warehouses, data marts, and data lakes. Write advanced SQL and Python, create Power BI visualizations, model data, and work with Databricks and Spark. Deploy data applications using Docker, Kubernetes, and GitHub while contributing to scalable client projects and maintaining data quality, monitoring, governance, and operational readiness.

Partners with regional business leaders to identify learning needs, design training plans, and deploy capability-building programs. Manages global and local learning initiatives, apprenticeship programs, internal trainer networks, AI training, learning metrics, budgets, and continuous improvement. Supports digital adoption, workforce development, and a culture of continuous learning across Eastern Europe and the Mediterranean.

Build and productionize Stable Diffusion, computer vision, and machine learning pipelines for photorealistic talking virtual humans. Responsibilities include dataset development, model training, research prototyping, ML service architecture, deployment, monitoring, optimization, and cloud or on-device inference. The role also evaluates emerging techniques and may involve DSP, NLP, C++, and CUDA.