Jobs at companies that actually ship with AI.
Curated roles at companies where building with AI is standard practice — not a bullet point on the job spec.
1021of 1021 roles
Application Security Engineer
5+ years in application security or DevSecOps, strong threat modeling and secure design knowledge, experience with app/cloud/API security, AI/ML security familiarity, and ability to build automated security workflows.
CRM & Automation Manager
Degree in computer science/data science/AI or comparable field, experience with HubSpot, modern AI tools and no-code automation (Make/Zapier), strong technical understanding and German language proficiency.
People Transformation - AI & Automation
Bachelor-level degree in HR, business, technology or data analytics; ~2+ years experience in AI, automation, analytics or HR technology; knowledge of HR processes, process design and Responsible AI; strong analytical and communication skills.
AI Solutions Builder
Experience using AI tools and strong prompting skills; basic programming knowledge (Python, JavaScript, TypeScript); ability to learn new software quickly; good communication and problem-solving skills.
AI Automation Engineer
4+ years software engineering experience, 2+ years building AI/ML or LLM systems; experience with LLM APIs, vector databases/RAG, workflow orchestration, cloud deployments, API integrations, and strong systems thinking.
Revenue Operations Analyst
2+ years in revenue/sales/business operations with HubSpot, strong Excel/Sheets skills, workflow automation experience, AI-driven data enrichment, reporting and dashboarding for commercial teams.
Process Improvement
12+ years leading product or transformation in regulated financial operations; enterprise product leadership, agentic AI automation, risk/compliance and audit experience; senior stakeholder influence and people leadership.
Agentic AI Builder
Bachelor's in a quantitative/technical field, strong engineering foundation, hands-on generative/agentic AI experience, proficiency with Python and SQL, familiarity with AI governance and controls.
Accounting and Automation Analyst
1–2 years accounting experience, strong interest in AI/automation, exposure to Power Automate/Python/Excel macros, foundational accounting knowledge, ERP and data platform familiarity, attention to detail, bachelor’s degree preferred.
IT Engineer
Staff/Principal-level engineering experience in cloud-native SaaS; hands-on coding, platform/SRE experience; proven AI-native adoption; expertise in infrastructure-as-code, CI/CD, and enterprise workflow orchestration; strong leadership and communication.
AI Stack & Automation Intern
Currently enrolled college student preferred; experience with automation tools or LLM APIs; ability to build and document production automations and communicate with non-technical teammates.
AI Applications Intern
Pursuing bachelor’s or master’s in automation, electrical, computer science, data science, AI or related; basic AI/ML knowledge (LLMs, NLP, CV), strong logic and English writing, data analysis a plus.