Top Tech Jobs & Startup Jobs in Krakow

Lead optimization of concurrent systems, scale backend microservices, and collaborate with developers and engineers on deployment for retail solutions.

Chatdesk Experts provide support for e-commerce brands through social media and email, working remotely and setting their own schedules.

Lead EMEA sales growth for CTV and omnichannel programmatic solutions. Build multi-market pipeline, manage agency and brand relationships, close complex deals, shape go-to-market positioning, and collaborate with Product, Marketing, Customer Success, and AdOps.

The role involves tracking KPIs, supporting client meetings and reports, coordinating onboarding tasks, and assisting in data analysis for client services.

Build and maintain high-quality full-stack features across React Native, React, GraphQL, and backend services. Own end-to-end feature delivery, debug across the stack, apply security-minded product thinking for device experiences, and advance AI-native developer workflows, prompts, and agent tooling.

Own end-to-end enterprise partnerships with multinational employers: target account identification, stakeholder mapping, consultative discovery, multi-country proposal and contract negotiation, closing and account growth, coordinating regional execution, representing Jooble at industry events, and maintaining CRM pipeline and forecasts.

Lead end-to-end product design for a developer-focused verifiable data platform. Drive discovery, prototype and test solutions, design complex data-heavy workflows, build and maintain a scalable design system, and partner closely with product and engineering through implementation to raise the design bar.

Own data quality, stewardship and documentation across assigned domains: profile and cleanse data, define validations, maintain catalogues and lineage, run governance controls, and liaise between engineering and business stakeholders.

Sourced Staff Engineer roles across Dragonfly portfolio requiring end-to-end ownership of product, infrastructure, and architecture. Build AI-native features, ship production systems at scale, work directly with founders, and move fast in ambiguous, early-stage environments.

Build and operate an organisation-wide AI platform enabling safe deployment of LLMs and agents. Integrate AI into the SDLC (IDEs, code review, CI/CD), create orchestration tooling, maintain observability and cost controls in Datadog, and provide consultative guidance, testing harnesses, and prompt libraries for engineering teams.