Top Tech Jobs & Startup Jobs in Krakow

Serve as the technical advisor for assigned manufacturing accounts, driving adoption of Tulip's no-code platform through architecture guidance, integrations, workshops, and cross-functional collaboration to ensure customer success and growth.

Provide advanced technical support for Rain's payments platform and integrations: troubleshoot APIs, read logs, run SQL queries, own incidents with SLA/CSAT targets, document solutions, escalate to Engineering/Product, and support new feature rollouts.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

Execute trades per firm strategies, monitor crypto markets, analyze charts and indicators, follow market news, apply risk management, record and review performance, use trading platforms, and continuously develop trading skills under mentorship.

Performs end-to-end AML/KYC due diligence for customer onboarding, periodic and event-driven reviews. Responsibilities include CIP, CDD, EDD, sanctions and PEP screening, AML risk assessments, complex ownership analysis, documentation validation, quality assurance, regulatory support, stakeholder coordination, training, escalation of concerns, and maintaining KYC records and reporting tools.

Performs customer due diligence for onboarding, periodic, and event-driven KYC reviews. Collects and validates documentation, creates KYC profiles, screens clients against sanctions lists, conducts AML risk assessments and enhanced due diligence, analyzes PEPs, and escalates compliance concerns. Maintains tracking records, meets review targets, supports regulatory examinations and AML training, and collaborates with front-office teams and stakeholders.

Develops specifications, designs, and industrializes end-of-line manufacturing test equipment. The role manages requirements spanning calibration, testing, programming, labeling, functional safety, and cybersecurity; improves cycle time, cost, and test coverage; maintains test standards; collaborates globally and with customers; and provides technical training to test engineers.

Owns the vision, strategy, roadmap, backlog, and releases for data processing and visualization products, including the XTF framework. Translates user needs into technical requirements, supports solution integration, collaborates with engineering teams and stakeholders, monitors product usage, and maintains documentation. Requires knowledge of logging, data processing, visualization, Linux, and Git, along with strong communication and problem-solving skills.

Manual QA Engineer responsible for requirements analysis, functional and regression test design and execution, test documentation, defect investigation and tracking, and collaboration with developers and Product Owners. The role tests mobile, web, and client/server applications and requires REST API, SQL, debugging tools, and third-party integration experience. The position emphasizes root-cause analysis, technical problem-solving, communication, organization, and strong English skills.

Leads complex employee relations cases, investigations, grievances, disciplinary actions, and whistleblower matters. Ensures legally compliant, fair, and consistent outcomes; identifies and mitigates employee relations risks; maintains confidential case documentation; advises People Partners, business leaders, and managers; develops ER policies and frameworks; and coaches leaders to prevent recurring issues.

Manage post-sales customer operations, including demand forecasts, purchase orders, production schedules, delivery coordination, RMAs, lifecycle transitions, and escalations. Serve as the liaison between customers, manufacturing, supply chain, engineering, logistics, and product teams. Lead business reviews, resolve technical and delivery issues, monitor component performance, and support customers across regional logistical, legal, and contractual requirements.

Develop Java software within a Scrum team across planning, development, testing, and maintenance. The intern will build customer-facing features for Motorola Solutions’ mission-critical communication system, collaborate with experienced professionals, and participate in the full software development lifecycle. The role requires Java and concurrency knowledge, analytical thinking, English communication, and willingness to learn. Work is hybrid from the Krakow office, with a minimum 32-hour weekly commitment and a 15-month employment contract.

Develop, test, integrate, enhance, and maintain C/C++ software supporting telecommunications radio infrastructure. Collaborate with global teams and take end-to-end responsibility for feature delivery. The role requires Linux skills, English communication, at least 24 hours per week, and office attendance in Krakow two days weekly under a 15-month employment contract.

Develop and maintain technical curricula for customers, partners, and training programs. Responsibilities include instructional design, task and gap analysis, learning objective development, eLearning and multimedia content creation, curriculum evaluation, collaboration with subject matter experts, and continuous improvement using learner data. The role requires explaining technical concepts clearly, creating written and hands-on courseware, and working in a hybrid Krakow office schedule with up to 10% travel.

Lead the technical vision, design, development, and deployment of AI-powered mobile and edge solutions across Android, iOS, and Windows. Build production-ready machine learning pipelines, AI services, device integrations, observability capabilities, and scalable mobile applications. Mentor engineers and collaborate with product, UX, architecture, and business teams. The role emphasizes IoT, embedded systems, edge AI, generative AI, computer vision, predictive analytics, and regulated-industry applications.

Leads the development of production-grade data science, machine learning, and AI solutions across Danaher. Develops predictive, optimization, forecasting, and decision-support models; designs experiments and validation frameworks; curates enterprise datasets and features; and guides models from experimentation through deployment. Partners with product, architecture, science, and engineering teams to deliver scalable solutions for business and scientific challenges.

Leads reliability, quality, testing, observability, and production-readiness practices for enterprise AI solutions. Establishes automated testing and AI validation frameworks, monitors system health and model quality, improves operational resilience, and oversees incident management, risk assessments, root cause analysis, and executive reporting. Partners with engineering, platform, data, security, product, and business teams to deliver dependable, measurable, production-ready AI systems.