Top Tech Jobs & Startup Jobs

Lead a cross-functional portal engineering team (up to 10), define frontend strategy and architecture (Micro Frontends), ensure performance, security (Okta/OpenID), CI/CD and cloud deployments (AWS/Kubernetes), collaborate with Product and UX, hire and grow engineers, and drive operational health and delivery.

Lead design, development, and productionization of demand forecasting models. Collaborate with product, engineering, and analytics teams to improve forecast performance, build model pipelines, mentor junior scientists, and communicate results to technical and non-technical stakeholders.

Design, build, and operate end-to-end data engineering and MLOps solutions for real-time, low-latency ad personalization. Implement streaming pipelines (Flink, Spark), feature provisioning to Hopsworks, model serving and operationalization (Triton, SageMaker), CI/CD, monitoring, and automation. Collaborate with applied scientists and mentor engineers while owning cloud infrastructure (AWS, Databricks, Kubernetes) and production reliability.

Lead applied science strategy for Search, build and manage teams of applied scientists and ML engineers, develop state-of-the-art query understanding, retrieval, ranking, and personalization models, drive ML platform and experimentation, establish model governance and evaluation, and align technical roadmap with business outcomes.

Lead product strategy and roadmap for Search and Discovery, building AI/ML-driven relevance, intent understanding, ranking, personalization, and experimentation. Partner with Engineering, Data Science, Design, and Commercial teams to deploy and optimize ML models, run A/B tests, and translate customer insights into measurable product outcomes. Communicate vision to stakeholders and embed search capabilities across the customer journey.

Lead design and implementation of an AI-driven, hyperscale search engine on Elasticsearch. Modernize real-time ingestion using Kafka/Flink, build platform capabilities for personalized discovery, drive infrastructure consolidation and migrations, and ensure operational readiness for high-traffic events.

Lead architecture and delivery of Zalando's B2B ZEOS platform: design scalable React/TypeScript frontends and Node.js services, drive micro‑frontend and SPA strategies, ensure secure AWS/Kubernetes deployments with OpenID/Okta, foster CI/CD, testing, and design system maturity, and align multi-disciplinary teams and stakeholders.

Lead and maintain Tosca-based test automation for SAP S/4HANA and related systems. Build, optimize and execute modular, model-based test scripts, collaborate with SAP functional teams, report coverage and regression results, and support continuous improvement in Agile environments.

Drive sales strategy and acquisition for ZEOS by prospecting and growing partner accounts worldwide. Manage full sales cycle from qualification to contract signing, build C-level relationships, own gross margin and revenue targets, coordinate with logistics/operations/finance, and report forecasts while supporting process improvements.

Design, train, and improve large-scale forecasting models for fulfillment processing times. Build and maintain automated data and ML pipelines, run experiments and A/B tests, mentor mid-level scientists, collaborate with engineers to productionize models, and drive research-informed improvements that impact delivery promises and business decisions.