Top Artificial Intelligence Jobs in Berlin

Lead frontier research in on-device AI inference, model routing, autonomous research pipelines, and real-world evaluations. Design and execute experiments involving speculative decoding, quantization, distillation, reinforcement learning, and other efficiency techniques. Own the research agenda, influence technical direction, document reproducible findings, and translate novel insights into practical performance improvements under device constraints.

Own complex enterprise sales from discovery through contract signature, closing €100k+ deals and driving new ARR. Build pipeline through outbound prospecting, navigate multi-stakeholder buying committees, develop business cases, manage procurement and legal processes, and maintain forecast accountability. The role also contributes customer insights to product, marketing, and strategy. Requires enterprise sales experience, executive presence, commercial judgment, and business-level German and English. This is an on-site role in Berlin five days per week.

Own the end-to-end hardware procurement process, including demand planning, purchasing, delivery, returns, and invoice resolution. Manage purchase-to-pay operations in SAP and procurement platforms, optimize inventory and asset management with logistics teams, develop forecasting and replenishment strategies, monitor suppliers, and support sourcing initiatives. Drive procurement process standardization, compliance, automation, and cross-functional improvements using analytics and AI.

Leads the GTM Systems and AI function, owning the commercial technology stack, AI operating model, vendor lifecycle, roadmap, and adoption strategy. Manages five senior individual contributors and partners with Data, Security, Finance, Enablement, and commercial leaders. The role translates ambiguous business needs into scalable systems and AI agents, sets standards for documentation and deployment, measures business impact, and drives cross-functional change across distributed teams.

Support telli’s founding team across operations, finance, legal and compliance, hiring, events, and special projects. The intern will coordinate stakeholders, maintain financial reports, manage invoices and payments, support customer-contract processes, assist with recruiting, and help keep the office running smoothly. The role requires hands-on problem solving, strong English and German communication, comfort with automation and AI tools, and the ability to manage multiple priorities in a dynamic startup environment.

Leads Tide’s engineering organization for fraud, financial crime, and ongoing monitoring platforms. Owns engineering strategy, decisioning infrastructure, model lifecycle, agentic AI deployment, and global platform scalability. Partners with risk, compliance, operations, product, and data science leaders to improve fraud detection, reduce losses and monitoring costs, automate workflows, and meet regulatory requirements across multiple markets.

Owns post-deployment value realization, adoption, and expansion for strategic Private Cloud AI customers across Central Europe. Provides enterprise AI architecture guidance, leads roadmap and adoption reviews, identifies expansion opportunities, facilitates technical and executive workshops, and builds reusable global playbooks. The role combines deep AI and GenAI expertise with customer-facing technical sales, commercial judgment, account management, and frequent onsite travel.

Owns marketing strategy for a strategic technology alliance in Europe, including positioning, messaging, go-to-market planning, integrated B2B campaigns, partner ecosystem enablement, executive communications, and KPI reporting. The role coordinates cross-functional teams across partner, field, product, brand, communications, PR, digital, content, and events. It focuses initially on Germany and supports cybersecurity, AI-native, sovereign cloud, and regulated-industry propositions across Europe.

Develop and deploy spatial perception models for ADAS/AD, including BEV and occupancy-based architectures. Lead large-scale distributed training, synthetic data validation, model quantization, compression, and edge optimization for automotive SoCs. Translate research into production pipelines, benchmark accuracy and performance, conduct experiments, and build regression testing. Collaborate with research and engineering teams while mentoring junior engineers and maintaining high standards for code quality and documentation.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

Manage global supplier sourcing and procurement for industrial materials, including €1M+ negotiations, contracts, pricing, payment terms, and supply reliability. Build supplier relationships, analyze market and performance data, identify cost savings, mitigate risks, resolve quality and delivery issues, and improve supply chain processes through automation and data. Collaborate with Sales and operations while supporting long-term sourcing strategy in a fast-scaling AI-driven company.

Leads company-wide operational excellence during rapid growth, building scalable processes and coordinating Finance, Legal, People, IT, InfoSec, Compliance, and business operations. The role resolves complex cross-functional problems, supports leadership decisions, anticipates operational risks, and builds a high-performing operations team. Candidates need high-growth and global operating experience, broad ownership across multiple back-office functions, and strong people leadership. Experience in AI, data, or developer tools is advantageous.

Enterprise Account Executive responsible for acquiring new enterprise customers, exceeding ARR quotas, leading sophisticated outbound campaigns, navigating multi-stakeholder buying committees, and closing complex SaaS deals. The role engages HR, Communications, IT, and executive stakeholders, develops strategic business cases, and collaborates with SDRs, Partnerships, Marketing, Solution Engineering, Customer Success, and Product teams. Candidates need enterprise SaaS sales experience, strategic selling expertise, fluent German and English, and a strong hunter mentality.

Own customer AI onboarding from initial execution through go-live and continuous improvement. Validate camera and input data quality, identify edge cases, maintain datasets and SOPs, track success metrics, communicate blockers, and coordinate installation teams to ensure reliable, consistent deployments. Improve onboarding workflows through documentation, checklists, templates, and tool enhancement recommendations. The role requires structured execution, strong communication, process discipline, technical systems comfort, and preferably manufacturing or process experience.

Support AI software onboarding by executing onboarding cycles, checking camera and input-data quality, documenting edge cases, tracking success metrics, communicating blockers, improving SOPs and tools, and coordinating with installation teams to ensure reliable, consistent deployments.

Lead R&D for industrial robotic manipulators, including modeling, planning, control, perception, machine learning, simulation, and hardware integration. Develop and test robotic prototypes, planning algorithms, middleware, software architectures, pose estimation, segmentation, and autonomous grasping systems. Deploy and validate solutions using ROS-compatible hardware, sensors, robot arms, and real-world environments.

Support AI software onboarding for manufacturing customers by executing onboarding cycles, validating camera and input data quality, documenting edge cases, tracking success metrics, coordinating with installation teams, and improving processes, documentation, checklists, and internal tools. The role requires structured execution, clear communication, attention to detail, ownership, and comfort working with technical systems. Manufacturing or process experience is advantageous, while prior machine learning experience is not required.

Drive continuous improvement initiatives for manufacturing customers using AI-powered computer vision insights. Analyze production data and assembly processes, identify inefficiencies, recommend measurable improvements, train customer teams, guide implementation, track outcomes, and collaborate with engineering, data science, product, and sales teams. Apply Lean and CI best practices while helping develop scalable AI-enabled improvement methods.

Own customer onboarding from initial execution through post-launch iteration. Validate camera and input data quality, identify edge cases, maintain datasets, document process variance, track success metrics, and communicate progress and blockers. Improve onboarding workflows through checklists, documentation, templates, and tool feedback. Coordinate with installation teams to ensure camera setups support reliable, consistent AI onboarding across stations.

Partners with Sales, Product, Engineering, and Improvement teams to win and expand manufacturing customers. Leads discovery, maps factory workflows, identifies bottlenecks, translates operational challenges into AI use cases, supports pilots and deployments, quantifies ROI, and develops repeatable value-selling playbooks. The role requires expertise in continuous improvement, Lean, operational excellence, or industrial engineering, along with manufacturing operations experience and the ability to communicate effectively with shop-floor and executive stakeholders.

Support AI software onboarding by executing onboarding cycles, monitoring success metrics, checking camera and input-data quality, documenting edge cases, maintaining datasets and process documentation, communicating blockers, and coordinating with installation teams. The role focuses on reliable process execution, continuous improvement, and cross-station consistency in a manufacturing environment.

Build Almetra’s marketing function from the ground up, owning positioning, messaging, go-to-market strategy, demand generation, ABM, content, events, partnerships, metrics, and reporting. The role partners closely with founders and sales leadership, establishes repeatable revenue-generating marketing motions, and gradually builds and leads the marketing team as the company scales.

Manage full-cycle technical recruiting for AI, machine learning, and AI safety teams. Responsibilities include sourcing niche and passive talent, market mapping, talent-pool development, candidate engagement, stakeholder collaboration, offer negotiation, candidate experience, and recruitment-process improvement. The role requires strong knowledge of AI research recruiting, bilingual German and English communication, and the ability to operate effectively in a fast-paced startup environment.