Top Artificial Intelligence Jobs in Berlin

Own customer delivery projects from problem framing through rollout for AI-powered workflows in regulated MedTech and life sciences environments. Lead customer interactions, structure ambiguous problems, manage workplans and risks, create project and workflow documentation, demonstrate and teach the product, support post-launch adoption, and capture product feedback. The role requires strong consulting, analytical, customer-facing, software implementation, AI, communication, and execution skills, plus English and German fluency.

Own customer workstreams transforming MedTech quality management and QMS processes into AI-enabled solutions. Responsibilities include discovery, workflow design, implementation support, testing, delivery, process mapping, gap analyses, impact assessments, use-case specifications, and reviewing AI outputs. The role requires deep expertise in ISO 13485, FDA QMSR, 21 CFR Part 820, MDSAP, ISO 14971, CAPA, audits, supplier quality, and related medical-device quality processes, along with strong project ownership and customer communication.

Own and build agentic AI systems for a new product area, including architecture, infrastructure, workflows, guardrails, review loops, and operational tooling. Develop reliable backend systems that handle complex inputs and changing requirements. Partner with product leaders, founders, domain experts, and engineers to translate regulatory needs into dependable products. Drive technical direction, system quality, scalability, iteration, and business impact in a highly regulated healthcare and life sciences environment.

Own customer workstreams that transform regulated medtech R&D workflows into AI-enabled solutions. Partner with R&D, Quality, Regulatory, Product, and Engineering teams to map processes, design use cases, support implementation and testing, review AI outputs, create project deliverables, and translate customer feedback into product improvements. The role requires strong medical device development expertise, project ownership, customer communication, hands-on execution, and comfort working in a fast-changing environment.

Evaluate and label German-language photos, graphics, videos, stickers, designs, and AI-generated content for linguistic quality, accuracy, and cultural appropriateness. Build German-specific datasets, meet labeling targets, refine annotations based on feedback, and collaborate with international data-labeling teams to maintain consistent quality across Canva AI experiences.

Advise clients on enterprise AI and data strategy, define AI operating models and platform blueprints, assess AI maturity, build business cases and roadmaps, embed Responsible AI, identify people/process/technology needs, and lead workstreams to commercialize AI-driven products and transformations.

Build and ship AI-powered automations for Sales, Marketing, Legal Ops, and other departments. Discover and prioritize manual workflow use cases, develop production-ready solutions with AI and low-code tools, document handoffs, measure business impact, track emerging technologies, and apply internal data and AI governance standards. The role offers ownership in shaping a new company-wide AI adoption function.

Build and deploy AI-powered automations across Sales, Marketing, Business Development, Legal Operations, and other departments. Discover and prioritize use cases, create production-ready workflows using AI and low-code tools, document handoffs, measure business impact, track emerging AI capabilities, and apply data and AI governance standards.

The Sales Operations & AI Manager will oversee CRM systems and automations, optimize sales processes, and build AI workflows to enhance lead generation and data management.

Design and build an internal AI platform, evaluate and integrate large language models, develop APIs, and establish engineering standards.

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

As a Product Specialist, you will serve as the primary contact for B2B customers, resolving technical issues, enhancing customer experience, and collaborating on product improvements.

Manage customer success and revenue growth, onboard customers, partner with cross-functional teams, and lead strategic projects to enhance customer relationships and drive innovation.

The Founders Associate Marketing role involves copywriting, performance marketing, and market research to drive growth for a green tech startup.

As a Product Specialist, you will engage with B2B customers to solve technical issues, enhance customer experience, and collaborate with the engineering team. You'll implement projects for growth in the renewable energy sector, requiring strong communication skills in German and English.

The Account Executive will establish the Netherlands market presence, collaborate with SDRs to enhance lead quality, and manage client relationships in the renewable energy sector.

The Digital Marketing Specialist will create engaging content, support performance marketing, conduct market research, and analyze marketing data.

Twelve-month, full-time on-site rotational GTM program in Berlin. Start as an SDR or Product Specialist, rotate through sales, solutions, marketing, revops, and product, then specialize into a permanent AE, AM, RevOps, Marketing, or Product role. Program begins August/September with small cohorts and offers hands-on ownership, training, and above-market pay.

The Account Executive will enhance lead quality, build client relationships, conduct demos, close deals, and monitor market trends in renewable energy.

Reonic invites unsolicited applications from passionate individuals interested in renewable technology to contribute skills and ideas.

Lead strategy and delivery for an engineering AI platform: define adoption outcomes, build measurement frameworks, deliver standardized AI toolsets, run data-driven trials, remove adoption blockers, set code quality guardrails, own compliance and security, and manage a portfolio of AI initiatives while influencing engineering and executive leadership.

As a Voice AI engineer, you will build reliable systems, solve unique Voice AI challenges, and evaluate models for customer impact, taking ownership of projects.

The Applied AI Engineer will implement AI tools, enhance workflows, and provide in-house consulting to optimize team usage of AI at Upvest, adhering to compliance and business outcomes.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.