Top Tech Jobs & Startup Jobs in Berlin

Design and maintain an internal AI provisioning platform supporting LLM and MCP Server access. Build observability, logging, alerting, governance, security, privacy, rate limiting, and cost-management capabilities for production AI systems. Collaborate with AI software engineers on cloud-native and agentic workflows while maintaining reliable infrastructure. The role requires cloud infrastructure, Infrastructure as Code, programming, CI/CD, containerization, and familiarity with LLM gateways and telemetry platforms.

Designs and maintains scalable data pipelines, models, ETL processes, and analytics solutions supporting Quick Commerce decision-making. Partners with cross-functional teams to define requirements, improve data quality and performance, create dashboards, and support governance, catalogs, and access controls. The role also involves translating business metrics into technical solutions, standardizing data practices, refactoring systems, and mentoring peers using Google Cloud, Spark, and Airflow.

Analyze marketplace performance, identify business impacts, troubleshoot operational issues, automate repetitive tasks, collaborate with internal teams and partners, and run commercial growth experiments. The role requires translating SQL and BI analysis into actionable insights, building automation, managing initiatives from ideation through delivery, and communicating effectively in English.

Owns marketing operations within Revenue Operations by designing scalable processes, governing campaign execution, improving lifecycle marketing and lead management, and partnering with Marketing leadership and GTM Systems. Oversees email, webinar, form, landing page, and lifecycle programs while ensuring privacy and consent compliance. Supports marketing technology, automation, reporting, data governance, stakeholder management, and process improvement.

Own and optimize paid acquisition across Google, Microsoft, Meta, and LinkedIn Ads. Manage media budgets, improve full-funnel conversion and pipeline performance, run A/B tests, analyze acquisition metrics, and identify growth opportunities. Collaborate with Sales, Content, Design, and Product Marketing to generate high-quality B2B SaaS demand. Use GA4, HubSpot, advertising platforms, attribution, and reporting to guide performance and ROI decisions.

Own Yepoda’s company-wide analytics function and data product roadmap. Translate commercial questions into prioritized data products, reporting standards, and repeatable analyses. Write requirements, user stories, and acceptance criteria for data engineering and analytics teams, while leading stakeholder discovery and experimentation across self-serve analytics and ML-powered capabilities. Partner with senior leaders to ensure data initiatives produce measurable commercial outcomes.

Own the vision, roadmap, backlog, and delivery of AI initiatives across ARCHIMED. Translate business needs into product requirements, coordinate technical and business stakeholders, drive adoption and change management, evaluate AI tools and vendors, and support responsible AI governance. Monitor KPIs, manage risks, develop support materials, and ensure AI solutions deliver measurable business value.

Drive technical pre-sales success for large and strategic fleet opportunities. Lead discovery sessions, technical demonstrations, pilots, proof-of-concepts, solution design, customer engagements, and partner projects. Collaborate with sales, product, channel, and customer teams to address business challenges, increase revenue, and support successful implementations. Develop segment expertise, playbooks, automation, and product feedback while mentoring Solutions Engineers and ensuring opportunity tracking and customer transition processes.

Manage and grow existing SMB accounts through consultative selling, upsell/cross-sell campaigns, platform migration support, cross-functional collaboration, and delivering ROI to improve retention and account value.

Drive ARR growth in SMB accounts (50–10,000 vehicles) via consultative sales and expansion strategies. Manage assigned opportunities, document activities in Salesloft and SFDC, collaborate cross-functionally, attend trade shows, analyze competitors, and contribute to strategic revenue plans and forecasts.

Lead technical engagements for Databricks Customer Lake, guiding customers through customer data architecture, identity resolution, audience activation, AI agent deployment, and CDP implementation. Deliver workshops, presentations, demonstrations, proofs of concept, and technical collateral; advise marketing and data leaders; collaborate with sales, partners, product, and engineering teams; resolve complex escalations; and improve qualification and POC processes to drive adoption and customer success.

Lead the architecture and evolution of Lounge by Zalando’s scalable core platform, growth systems, data infrastructure, and AI platforms. Drive cross-team engineering initiatives, event-driven microservices, high-throughput pipelines, and production-ready GenAI solutions. Mentor senior engineers, establish architectural standards, author decision records, and guide technical strategy across teams. Partner with project management on complex business and product initiatives while promoting reliable, secure, and modern engineering practices.

Lead the growth product organization for Lounge by Zalando, owning acquisition, registration, activation, retention, customer communications, and lifetime value. Manage Product Managers and partner with Engineering, Design, and Analytics leaders across multiple squads. Drive experimentation, funnel optimization, MarTech and CDP platform strategy, AI/ML personalization, and executive stakeholder alignment.

Execute, monitor, optimize, and analyze integrated digital media campaigns across onsite and offsite channels. Adjust budgets, bids, targeting, creatives, and campaign setups to meet delivery and performance KPIs. Prepare media plans, recommendations, and campaign reports while supporting consultants, clients, and campaign managers with data-driven insights and optimization strategies.