Top Tech Jobs & Startup Jobs in Warsaw

Research newly launched technology products and create, maintain, audit, and update accurate Magento catalog listings. Responsibilities include managing product specifications, pricing, descriptions, images, and manufacturer numbers; validating data with AI-powered tools; monitoring competitors and market trends; and meeting deadlines while maintaining high accuracy and consistency.

Provide customer support to mobile game players through email, app stores, social media, and other channels. Resolve support tickets, deliver effective solutions, maintain high service standards, and identify recurring issues. Report trends to Product and R&D teams and proactively initiate projects that improve customer experience.

Perform comprehensive manual testing of web, backend, mobile applications, APIs, and end-to-end workflows for a vaccine management platform. Create and execute test plans and cases, document and track defects, validate integrations with Epic and customer systems, and ensure accurate, reproducible test results. Collaborate with developers, business analysts, product managers, designers, and automation teams throughout the software development lifecycle. Participate in hiring interviews and contribute to continuous process improvement.

Validate end-to-end product data migration into Akeneo PIM from ERP and Cloudinary, verify Akeneo configuration and data governance, inspect exported XML for SFCC schema compliance, monitor SFCC import jobs, and triage defects between source data and transformation bugs.

Design, architect, implement, and maintain React and TypeScript web applications. Develop responsive HTML/CSS pages and email templates optimized for SEO and Core Web Vitals. Write unit and integration tests, solve technical challenges, collaborate with the team, and take ownership of project delivery. Preferred experience includes Redux, React Query, Jest, Cypress, and SSR/SSG frameworks such as Next.js, Astro, or Remix.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Lead and redesign the web production operating system for a high-volume direct-to-consumer business. Own intake, requirements, workflow, capacity planning, dependencies, AI-assisted production, quality control, team capability, and operational measurement. Improve request-to-launch speed, throughput, predictability, and first-pass quality while reducing rework and marketing launch delays. Partner closely with marketers, designers, developers, copywriters, and media buyers to standardize production and scale output without proportional headcount growth.

Own and grow a portfolio of enterprise B2B SaaS accounts through renewals, expansions, QBRs, executive reviews, and strategic relationship management. Identify upsell opportunities, forecast revenue in Salesforce, support adoption and retention targets, develop ROI-based expansion cases, manage contract negotiations, and relay customer feedback to Product and leadership. The role requires strong executive communication, commercial acumen, and familiarity with Salesforce and DevOps concepts.

Build and deploy production-grade LLM capabilities for the Kayzen Console. Responsibilities include developing AI-backed APIs and full-stack features, implementing RAG, embeddings, agents, and tool calling, and establishing evaluation, monitoring, observability, and feedback systems. The role optimizes quality, latency, reliability, and cost; troubleshoots production issues; collaborates with Product, ML, and Engineering; and turns prototypes into maintainable AI products.

Productionize AI-built GTM software prototypes into secure, reliable customer-facing applications. Own hosting, environments, CI/CD, secrets, backups, releases, code quality, monitoring, security, staged rollouts, and integrations across CRM, ERP, and internal data systems. Build context infrastructure for GTM and customer-facing agents, reconcile data across systems, collaborate with product and commercial teams, and contribute to Wingtra’s AI engineering practice.