Top Artificial Intelligence Jobs in Berlin

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Support the Social Media team by coordinating the creator community, monitoring inbound creator interest, shortlisting leads, organizing social assets in the DAM, gathering campaign outputs, preparing reports and recaps, and handling administrative tasks to scale creator and content efforts.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Lead Rasa’s product organization and define strategy for its enterprise conversational AI platform. Manage and develop a team of product managers, own product roadmaps and lifecycle decisions, and partner with engineering, sales, and marketing on product definition, pricing, packaging, and go-to-market. Use customer research, market analysis, competitive intelligence, and developer feedback to guide innovation and foster a strong ecosystem across cloud, on-premises, and open-source deployments.

Assess and evaluate AI-generated technical content, craft and answer advanced ML/AI questions, identify errors and hallucinations, rank responses by correctness and clarity, and provide precise feedback to improve model performance.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Own the DACH market launch for Nebuly, generating pipeline through an established enterprise network and managing the full B2B SaaS sales cycle. Target mid-market and enterprise accounts with €100K+ ACV potential, navigate complex stakeholder groups, build business cases, negotiate, and close deals. Represent Nebuly at market events, collaborate with sales engineering and partners, and develop system integrator and advisory relationships. The role requires German and English fluency, strong enterprise relationships, technical sales ability, and experience closing large contracts without inbound or SDR support.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

Lead architecture and delivery of perception and spatial AI models from cloud training to deployment on automotive-grade SoCs. Define deployment-first architectures, convert state-of-the-art research into production pipelines, set evaluation and hardware-aware validation standards, partner across research/product/customers, remain hands-on prototyping and debugging, and hire and mentor a high-performing engineering team.

Design and implement agentic AI system logic and reusable components. Integrate models, data sources, and services into scalable workflows. Prototype and iterate on agentic interaction patterns, tooling, and session/context handling. Support UI-facing clients and enable systems to take action through structured tools and APIs.

As a founding product hire, you'll define the product vision, create user journeys, maintain the product backlog, and conduct user research for a cybersecurity platform.

Advise clients on creating and capturing value from AI and data by defining AI/data strategy, building value cases and roadmaps, shaping operating models and platforms, embedding Responsible AI, leading large-scale delivery, engaging senior stakeholders, and linking AI initiatives to measurable business outcomes.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

Lead and optimize cross-channel performance marketing across multiple European markets and brands, using AI and generative AI to automate and scale paid social, display retargeting, feed-based campaigns, conversion tracking and data-driven optimisations. Analyse performance, produce actionable recommendations, and collaborate with international teams to improve ROAS and other key metrics.

Build the company’s core AI efficiency product from the ground up, including token reduction, context optimization, model routing, APIs, evaluations, enterprise integrations, and production infrastructure. Own architecture, reliability, security, distributed-system performance, deployments, and customer-driven capabilities while researching and productionizing new approaches to reduce AI costs without sacrificing quality.

Build the go-to-market function for an AI efficiency startup in Berlin. Responsibilities include defining the ideal customer profile, building pipeline across DACH technology companies, owning the full sales cycle, closing licensing deals, expanding accounts, developing CRM and AI-enabled sales processes, shaping customer pilots with engineering, and informing product positioning and strategy.

Join the data team to automate and maintain data workflows, build AI agents to handle repeatable data tasks end-to-end, and create self-service data access. Collaborate with stakeholders to reduce manual work, debug automations, and integrate multiple data sources to deliver business-focused solutions.

Design and build scalable, production-grade agentic AI systems using LLMs to reason over data, orchestrate workflows, use tools, and drive decisions. The role combines backend engineering, data systems, NLP, prompt engineering, RAG, LLM evaluation, and agent orchestration. Responsibilities include translating AI research into enterprise SaaS products, deploying applications to production, experimenting rapidly, and collaborating with LLM engineers, software engineers, and data scientists in a hybrid Berlin AI lab.

Lead N26 Marketing’s AI and automation strategy by architecting AI-driven workflows, optimizing team processes, automating performance reporting, and scaling the MarTech ecosystem. Manage Jira, Figma, Lokalise, DAM integrations, and custom tooling while improving campaign execution and collaboration. Champion AI adoption through training and enablement, translating technical capabilities into practical marketing solutions and measurable operational efficiency gains.

Develop and implement GEO strategies that improve client visibility across AI search environments, LLMs, AI assistants, and generative platforms. Analyze AI visibility, citations, sentiment, Share of Voice, and rankings; turn insights into recommendations, media plans, budgets, reports, and client presentations. Onboard clients, support pitches, manage relationships, collaborate cross-functionally, and develop GEO playbooks, training, and best practices.