About the company
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.
Responsibilities
- Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
- Working with sales and FE leaders drive adoption of Gen AI across EMEA.
- Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
- Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives.
- Work closely with key customers on specific Gen AI use-cases helping translate research innovations into production grade AI applications.
Requirements
- Experience designing and delivering production-grade Generative AI and Deep Learning solutions in customer or enterprise environments.
- Strong hands-on experience with LLMs and modern Deep Learning: Transformer architectures, PyTorch, and distributed/multi-GPU training.
- Hands-on experience taking LLM post-training beyond fine-tuning: SFT plus reinforcement learning–based methods — reward modeling, RLHF/RLAIF, or policy optimization (e.g., PPO, GRPO) — applied to steer models toward specific behaviors and quality criteria.
- Ability to advise customers on GenAI and Deep Learning architectures, translate requirements into technical solutions, and anticipate and remove implementation blockers.
- Strong hands-on experience with Python, SQL, Apache Spark, cloud platforms, and Lakehouse architectures; excellent communication skills and customer-facing/pre-sales experience are highly desirable.
- Excellent communication skills; both written and verbal.
- Experience in pre-sales selling highly desired.