Top Tech Jobs & Startup Jobs

Own day-to-day execution of the SAP partnership across technical, research, and commercial workstreams. Track commitments, coordinate engineering and research capacity, support joint scoping, co-selling, pricing, packaging, and commercial terms, and maintain accurate partnership records. Onboard SAP stakeholders, identify stalled initiatives, escalate delivery-capacity risks, and help build scalable partnership processes, playbooks, and templates.

Owns day-to-day partnerships with cloud providers, data and analytics vendors, and system integrators. Responsibilities include tracking commitments, coordinating technical resources, structuring co-sell and referral agreements, supporting pricing discussions, maintaining CRM records, aligning partnerships with sales and technical teams, onboarding partners, improving underperforming relationships, and developing scalable partnership playbooks.

Own end-to-end hiring for US go-to-market and operations teams: source enterprise sales, partnerships, finance, and compliance talent; run structured interviews with clear rubrics; manage ATS pipeline and weekly metrics; negotiate and close offers including variable comp and equity; coordinate multi-hub (US/EU) hiring, relocation, and visa considerations.

Own end-to-end hiring for US go-to-market and operations functions: source and assess enterprise sales, partnerships, finance, and compliance talent; run structured interview loops, manage ATS pipeline and metrics, negotiate offers including variable comp and equity, and coordinate multi-hub US/EU hiring and occasional relocation/visa work.

Own end-to-end technical recruiting for research, engineering, and forward-deployed engineering: source globally, screen technical depth, run structured interview loops with rubrics, manage ATS pipeline and metrics, negotiate and close offers against top-tier frontier-lab packages, and coordinate multi-hub hiring across Freiburg, Berlin, and New York.

Build and own end-to-end frontend and backend ML platform features, collaborate with product and research to productionize model and agent capabilities, and design scalable, reliable, and secure data science tools.

Drive commercial adoption of foundation models for structured data through outbound outreach, sales cycle ownership, and technical engagement. Shape sales strategies and materials while managing key buyer relationships.

The Account Executive will drive adoption of foundation models, manage the sales cycle, engage technically with clients, and help define sales strategies.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

Design, build, and scale core infrastructure for machine learning models, manage production systems, and implement best practices in MLOps.