Top Tech Jobs & Startup Jobs in Krakow

Own the vision and roadmap for Universal KYC and MetaMask Passport, a reusable identity layer across MetaMask. Build scalable identity verification primitives, streamline KYC user experiences, drive adoption across product teams, and balance privacy, trust, user friction, and global compliance. Partner cross-functionally to lead execution and improve KYC completion, onboarding speed, identity reuse, transaction success, and user trust.

Manages pharmacy accounts across designated Romanian counties by visiting customers, building relationships with pharmacy decision-makers, promoting Kenvue products, developing account plans, identifying business opportunities, delivering presentations, and tracking in-store visibility. The role requires sales or medical detailing experience, healthcare industry knowledge, strong communication and negotiation skills, technology proficiency, English fluency, and frequent regional travel.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Represents Altra Running across Northern England and Western Scotland by training retail staff, supporting merchandising and events, engaging running communities, and building relationships with retail partners and medical professionals. The role provides product expertise, supports sales performance, manages regional budgets and equipment, and develops the brand’s medical recommendation program. It is remote-based, requires substantial regional travel, and includes a company car.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Design and scale Databricks Genie conversational data interfaces, including Genie Spaces, semantic layers, SQL guidance, testing, fine-tuning, and external integrations. Build optimized Python, SQL, and PySpark pipelines in Delta Lake, support LLM-based metadata enrichment and semantic optimization, and translate business requirements into reliable data models. Collaborate with stakeholders and maintain high standards for accuracy, performance, and governed enterprise data access.

Build and evolve backend services and APIs for an AI-driven networking product. Design and deliver product functionality end-to-end, improve existing microservices, collaborate on product decisions, and own solutions through deployment with minimal supervision. The role uses Node.js with NestJS, Go, PostgreSQL, gRPC, Docker, GCP, and AI developer tooling in a fully remote startup environment.

Designs and maintains end-to-end automated testing across AWS web applications and Salesforce workflows. Automates cross-platform user journeys, Salesforce Lightning UI tests, REST API integrations, webhooks, secure queues, and database verification using SOQL. Integrates test suites into Git-based CI/CD pipelines while ensuring secure, reliable synchronization of DevOps data and Salesforce metadata.

Review and onboard business customers by performing KYB/KYC checks, verifying corporate documentation, conducting sanctions/PEP/adverse media screening, assessing AML risk, escalating high-risk cases, maintaining records, and collaborating with Sales, Compliance, and Operations to streamline onboarding and improve processes.

Develop, validate, deploy, and maintain machine learning solutions for medical device manufacturing and CAD/CAM systems. Build deep learning and multimodal AI models using computer vision, 3D geometry, meshes, images, and structured data. Integrate models into production systems, conduct performance analysis, maintain ML workflows, and translate research into practical manufacturing applications while collaborating with engineering, manufacturing, and product teams.