Top Artificial Intelligence Jobs in Munich

Leads direct and indirect sales organizations across DACH and CEE, driving regional revenue growth, upmarket expansion, forecasting accuracy, sales methodology adoption, talent development, and performance management. Builds scalable first-line leadership, embeds AI-enabled sales processes, partners with marketing and post-sales teams, and develops sustainable three-to-five-year growth plans while maintaining a strong regional culture.

Lead and develop a team of Principal and Senior Principal Customer Success Managers serving complex global enterprise customers. Drive customer retention, growth, health monitoring, executive relationships, success planning, escalations, and measurable business outcomes. Coordinate cross-functional teams across Sales, Product, Support, Services, and Engineering while contributing to organizational planning and talent development. The role focuses on cloud transformation, agile delivery, automation, IT services, and AI adoption.

Design digital blocks using semi-custom methodology, including control logic, BIST, and DfT. Perform synthesis constraint development, place and route, functional and gate-level verification, equivalence checking, and silicon design validation. Enhance semi-custom design flows, support AI-enabled P&R features, and prepare technical documentation. The role requires collaboration in an international environment and independent execution.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Leads Celonis’s global go-to-market planning, including territory and segmentation strategy, account assignments, resource allocation, organizational design, GTM modeling, reporting, and cross-functional alignment. The role advises leadership on growth, profitability, coverage models, GTM ratios, and strategic initiatives such as global accounts, new-logo strategy, market expansion, and partner channels.

Leads DACH marketing strategy and a five-person team, owning SEO/AEO, paid media, social media, content, tracking, automation, pricing experiments, and pipeline growth. Oversees HubSpot, GA4, and n8n infrastructure; builds AI-powered workflows, dashboards, analytics models, and decision frameworks. Partners closely with Product, Sales, and Customer Excellence to drive data-based marketing decisions and revenue growth.

Leads strategic Professional Services sales and advisory activities across the DACH region. Positions Workday’s AI, extensibility, analytics, and transformation capabilities; conducts consultative discovery; aligns Global Systems Integrator partners; negotiates services agreements and statements of work; manages forecasts; and builds executive customer relationships. Requires enterprise software or digital transformation consulting experience, change management expertise, complex sales success, German and English fluency, and travel up to 35%.

Supports the founders across strategic planning, investor relations, marketing, public relations, project management, and operations. Responsibilities include research, strategy workshops, investor reporting, advisory board preparation, content and press release creation, online channel management, project execution, event organization, office searches, and internal process improvement. The role requires independent ownership, strong organization, adaptability, and interest in AI and hardware.

Defines success metrics and evaluation strategies for ML products, including simulations, benchmarks, guardrails, and structural consistency checks. Partners with Product Owners and Data Science teams to translate business questions into analytical problems and model results into business decisions. Builds rapid prototypes, offline evaluations, self-service analytics, and AI-assisted tools while establishing evaluation standards across product teams.

Own customer value realization for mid-market legal and professional-services clients using Harvey’s AI platform. Responsibilities include onboarding, workflow integration, user training, executive relationship management, adoption and ROI measurement, renewals, expansions, and product feedback. Partner with Account Executives, Product, and Engineering while managing customer outcomes, revenue targets, and stakeholder relationships in a rapidly scaling SaaS environment.

Build and lead a global People Analytics capability, establishing data standards, KPIs, dashboards, governance, and self-service insights. Support HRIS transformation by defining analytics and data requirements, apply AI and automation to optimize HR processes, and deliver predictive workforce insights. Partner with senior stakeholders on talent, retention, organizational effectiveness, workforce planning, data privacy, and responsible AI use.

Own enterprise outreach and first contact for humanoid robot deployments. Generate and qualify leads, manage a market or territory end to end, develop outreach strategies, improve channels and messaging, book qualified meetings, and provide context to the closing team. The role requires high agency, hands-on prospecting, fluent proficiency in two languages, and in-office work in Munich.

Lead complex consulting engagements for commodity and energy trading clients, managing delivery, client relationships, project teams, governance, risk, and commercial outcomes. Advise on trading operating models, business transformation, digital and AI initiatives, ETRM/CTRM transformations, flexibility services, portfolio optimization, and risk and regulatory matters. Support business development through proposals, pitches, account planning, thought leadership, and practice growth.

Leads Germany health policy, government affairs, stakeholder engagement, corporate communications, reputation, and employee engagement. Advises executive leadership on healthcare policy, reimbursement, market access, political developments, and strategic external affairs. Builds relationships with policymakers, healthcare organizations, patient groups, academia, and industry; shapes advocacy strategies; leads crisis communications and AI strategy; and develops a high-performing Policy & Communications organization.

Lead customer deployments from executive workshops through production across manufacturing plants. Collaborate with executives, operators, IT, product, and engineering to solve ambiguous operational problems, shape product features, build prototypes, and create scalable deployment playbooks. The role also involves building the deployment team, working closely with industrial customers, and driving adoption of AI solutions across manufacturing operations.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. Responsibilities include measuring agent quality, diagnosing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role is hands-on and requires production software development experience with complex tool-using AI systems.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts and models, improve quality, latency, and cost, diagnose agent failures, and partner with AI Core engineering. Manage team priorities while contributing directly to Ruby on Rails and Python code.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for AI agents. Responsibilities include designing CI/CD pipelines and scorers, diagnosing agent failures, evaluating models, optimizing cost and latency, and partnering with AI Core engineering to improve production AI quality. The role also includes team leadership and management.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and experimentation frameworks for production AI agents. The role evaluates models, prompts, tools, and agent behavior while improving quality, latency, and cost. Responsibilities include leading technical direction, managing team priorities, coding, and partnering with AI Core engineering. Experience with production software, LLM agents, evaluation infrastructure, Ruby on Rails, Python, and ML/AI datasets is required.

Lead the AI Quality engineering team while building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Design experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering, manage priorities, and remain hands-on with implementation.

Lead a hands-on AI Quality engineering team building evaluation infrastructure, observability tools, diagnostic systems, datasets, annotation workflows, and experiment frameworks for production AI agents. Responsibilities include measuring agent quality, tracing failures, evaluating models, improving cost and latency, managing team priorities, and partnering with AI Core engineering. The role requires substantial production software experience, AI/ML evaluation expertise, and proficiency or adaptability in Ruby on Rails and Python.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Own and continuously improve a defined area of the Carbon Management product suite, spanning corporate and product carbon footprints and decarbonization. Translate carbon methodology and regulatory requirements into product direction, prioritize customer and market insights, and collaborate with UI/UX, engineering, compliance, and delivery teams from discovery through release. Balance methodological rigor, usability, technical feasibility, and commercial impact while developing scalable B2B SaaS solutions.

Build and deploy perception systems for autonomous platforms, including object detection, tracking, semantic segmentation, and depth estimation. Prepare datasets, train and evaluate models, optimize real-time onboard deployments, extend replay tooling, analyze mission logs, debug field failures, and write production-quality code. The role involves testing systems on recorded mission data and real-world field trials while collaborating with perception, autonomy, and research teams.

Own the full enterprise sales lifecycle, including outbound prospecting, inbound demos, deal closing, events, sales systems, pipeline reporting, and customer feedback. Build a repeatable sales process from scratch, use AI agents to automate work, and help establish and scale the future sales team. The role requires native German, Munich presence or relocation, strong enterprise selling, high ownership, and the ability to engage technical buyers.