Top Tech Jobs & Startup Jobs in Poland

Own the company’s e-commerce and affiliate monetization strategy across YouTube, Facebook, Amazon, TikTok, Instagram, Shopify, and other platforms. Build integrations, product feeds, tracking, attribution, and monetization pilots; analyze revenue and conversion performance; troubleshoot technical issues; work with platform partners and brand clients; and create scalable processes. The role begins as a standalone function with potential to build and lead the broader e-commerce team.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Drive new business and expand existing client relationships across Poland. Sell Macrobond’s economic and financial data platform to investment professionals, government institutions, and corporate clients. Responsibilities include regional sales planning, prospecting, solution selling, product demonstrations, proof-of-concepts, quota attainment, relationship development, and collaboration with marketing, product, and research teams. The role requires B2B SaaS or data-sales experience, investment-community networks, complex-sales expertise, and professional Polish proficiency.

Design and develop computer vision, machine learning, AI, predictive, classification, recommendation, and LLM-based models. Responsibilities include algorithm selection and optimization, data cleaning, feature engineering, model validation, production deployment, and collaboration with clients and internal teams to turn analytical results into actionable insights.

Manages a software engineering team developing computer vision and advanced barcode-reading algorithms. Oversees architecture, technical practices, customer solutions, project delivery, resource allocation, and talent development. Collaborates with Product and Program Management while driving process improvements and software integration. Requires advanced C/C++, algorithms, image processing, computer vision, and software architecture expertise, plus 8+ years of engineering or software solution delivery experience.

Own revenue recognition and accounts receivable close for complex enterprise SaaS contracts. Apply ASC 606 and IFRS 15, review contracts, assess credit risk, manage collections priorities, reconcile deferred revenue and revenue-to-cash, support ARR/NRR reporting, prepare audit schedules, and mentor accounting and collections staff. The role partners with FP&A and deal desk teams while maintaining controls and resolving technical accounting judgments in a multi-entity, multi-currency environment.

Lead SAP S/4HANA SD/MM Order-to-Cash consulting engagements, including solution design, configuration, implementation, integration, testing, and client support. Manage sales order management, pricing, billing, and credit management processes while aligning solutions with business objectives. Lead large-scale transformation projects, advise stakeholders, mentor team members, and contribute to knowledge sharing and best practices. The role is remote, with limited project-related travel.

Monitor global cyber threats, analyze intelligence from OSINT, commercial feeds, industry platforms, and dark web tools, and correlate findings with internal security events. Develop KQL queries for threat hunting and investigations, produce intelligence reports and executive briefings, support full-lifecycle incident response and forensic investigations, and strengthen detection capabilities through threat modeling, playbooks, and collaboration with SOC and technology teams.

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.

Develop and refine machine learning and LLM-based solutions, including agent architectures, embeddings, clustering, summarization, and automated workflows. Design experiments and metrics to evaluate model quality, build Java and Python services hosted on Snowflake and Kubernetes, troubleshoot systems, and collaborate with product, design, and partner teams to deliver features and shape product direction.