Director of Field Engineering - London

At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with 250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more. Reporting directly to the Vice President of Global Field Engineering, the Director of Field Engineering - EMEA will define, implement and execute strategies for customer engagement and technical implementation, ensuring customers derive maximum value from our AI developer platform. This role blends deep technical knowledge of AI/ML workflows and best practices with strong customer-facing skills to support all customer-facing technical functions. Responsibilities: Master the implementation of efficient, robust, and reproducible machine learning pipelines for engineering teams, leveraging Weights & Biases tools, to ensure smooth customer onboarding and adoption processes. Serve as a trusted advisor to new customers by identifying their desired outcomes and clearly communicating W&B s product best practices, ensuring their success through the effective integration and optimization in the post-sales adoption phase. Conduct product training sessions and workshops that demonstrate best practices and the diverse solutions W&B offers, aimed at facilitating customer success and adoption post-sales. Serve as a pivotal link between customers and internal teams by continuously providing customer feedback and advocating for customer needs, thereby directly influencing the product roadmap and enhancements to reflect real user experiences, trends, challenges, and successes. Requirements: Lead a team of pre-sales and post-sales engineers, solutions architects, and technical support managers across EMEA. Define and implement customer engagement processes, including onboarding, platform configuration, user training on MLOps and LLMOps workflows, and AI best practices consulting. Develop scalable and repeatable playbooks for prospect and customer engagement. Drive technical success during pre-sales, supporting new revenue generation; and post-sales, maximizing product value for customers. Work directly with select enterprise customers to drive success in pre and post sales activities Partner closely with Product & Engineering to distill and triage customer feedback on feature requests and bug identification. Build strong relationships with senior executives on the customer side, acting as a bridge and advocate between them and Weights & Biases. Present at industry and community events, develop your brand as a thought leader & industry expert in the AI and LLM ecosystem Recruit and develop top-tier pre-sales and post-sales talent to the team Adapt Customer Success playbooks for customers in EMEA Strong Plus: Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks Experience with data engineering, MLOps and tools such as Docker and Kubernetes Experience with data pipeline tools Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company Our Benefits: Flexible time off ????Medical, Dental, and Vision for employees and Family Coverage Home office budget with a new high-powered laptop Truly competitive salary and equity 12 weeks of Parental leave (U.S. specific) 401(k) (U.S. specific) Supplemental benefits may be available depending on your location Explore benefits by country We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out #####. #LI-Remote #J-18808-Ljbffr