Top Artificial Intelligence Jobs in Berlin

As a Founders Associate Intern, you'll collaborate with co-founders on digital SaaS products, analyze performance data, and enhance team alignment.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Lead frontend development for a SvelteKit-based legal AI product: own product surfaces end-to-end, consolidate a component library, improve type safety and performance, build real-time human-AI UX (streaming, citations, source attribution), and mentor the team.

Build and maintain full-stack features for an LLM-powered legal AI product. Work across backend APIs and frontend interfaces, integrate AI tools/agents, ensure security and scalability, collaborate with product and design, and shape technical architecture and engineering culture.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Drive the integration of AI tools into game design, content creation, production, live operations, and internal workflows. Identify and improve bottlenecks, design intuitive AI-powered tools and automations, prototype solutions with code, measure adoption, gather feedback, and continuously optimize workflows. The role also involves mentoring teams, evaluating emerging AI technologies, creating documentation and training materials, and collaborating across design, art, production, QA, analytics, and development teams.

Develops new business for AI-driven software solutions by identifying prospects, managing the full sales cycle, presenting proposals, negotiating contracts, maintaining CRM records, and transitioning new accounts to delivery teams. The role also builds long-term customer relationships, expands professional networks, analyzes AI market opportunities, and supports revenue growth through complex proposals and tenders.

Support growth and go-to-market strategy for an AI-native Photostudio SaaS venture. Responsibilities include running paid, organic, and outbound growth experiments; supporting performance marketing across LinkedIn, Meta, and Google; conducting market, competitor, and user research; creating reports and presentations; developing dashboards; and contributing to social media and short-form video content.

Lead full-cycle hiring for Go-to-Market roles (SDRs, AEs, Sales Managers), proactively source commercial talent, partner with founders and hiring managers, build scalable pipelines, and improve recruiting processes to drive growth across Europe. On-site role in Berlin.

Own product areas within KIRA’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use data, research, feedback, and production insights to launch, measure, and continuously improve products.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights.

Own product areas for KIRA’s AI Stockbroking and broader financial services, defining user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch, monitor, and iteratively improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas within AI Investing and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial products; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, and travel. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify financial journeys; launch features; monitor performance; and iterate using data, feedback, research, and production insights.

Own product areas within AI investing and broader financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use metrics, research, feedback, and production issues to guide decisions, launch features, monitor performance, and drive iterative improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Develop and deploy AI-powered capabilities across product and business teams. Act as a forward-deployed engineer, embedding with finance, sales, marketing, and product teams to introduce agentic methodologies, support AI adoption, shape the company platform and strategy, and translate learnings into scalable solutions. The role emphasizes production-quality code, business impact, adaptability, collaboration, and effective work in a global distributed environment.

Own product areas within AI Finance across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role is remote but requires candidates to be based in Germany and communicate strongly in English.

Own product areas within AI stockbroking and broader financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use research and performance data to guide decisions, launch features, monitor results, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Own design, deployment, and operation of high-performance AI GPU fabrics and datacenter networking (RoCE, RDMA, BGP/ECMP, EVPN/VXLAN). Provide staff-level architecture, cross-team technical leadership, incident escalation, automation (Python/Bash), and operational standards for global datacenter and edge deployments, including inter-datacenter transport and security.

Own AI Investing product areas across financial services by defining user problems, product scope, metrics, roadmaps, and launches. Partner with engineering, design, data, operations, compliance, and business teams to simplify complex financial workflows. Use research, feedback, experiments, and performance data to iterate quickly, balance user experience and business impact, and drive execution with high ownership.

Design, build, and operate the AI storage layer for GPU-heavy edge and core deployments. Architect and optimize storage for distributed training and inference, integrate storage with Kubernetes (CSI), tune performance (RDMA, NVMe-oF, GPU Direct Storage), lead reliability and operational practices, and provide staff-level architectural ownership and cross-team influence while executing hands-on storage engineering.

Own product areas within an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, experiments, and performance data to improve products; and balance speed, usability, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Neobank across financial services such as payments, savings, investing, insurance, and travel. Define user problems, product direction, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; and use research, feedback, metrics, and production insights to iterate products and improve customer journeys.

Own product areas for BJAK’s AI Stockbroking and broader financial services offerings. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, analyze performance, and iterate based on feedback and production insights.