Field Engineering, AI/ML Product Specialist

As the AI/ML Product Specialist, you will define our technical go‑to‑market strategy and drive AI/ML product adoption in the Asia Pacific and Japan region. You will directly work with customers to guide and influence their data application architecture and decisions, present, demo, and pitch the Databricks AI/ML product suite, and act as a trusted advisor to senior executives, ensuring customers succeed in leveraging Databricks to solve their business problems. You will support our field engineering teams internally, help them understand the key differentiators of our product against competitors, partner with product managers to inform product direction and strategy, recruit and lead a group of specialists, and serve as an external thought leader through conferences, webinars, and blog posts.

Responsibilities

• Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan.
• Develop materials for the GTM team to effectively communicate our value proposition.
• Support field teams in key strategic pursuit opportunities.
• Work with subject‑matter experts to scale impact in local regions and empower the broader field team.
• Act as a thought leader to build confidence and relationships with customers at the executive level.
• Present externally at conferences, events, and webinars, and publish content to establish our position in the market.
• Work with FDE teams and partners to establish best practices.
• Act as a cross‑functional representative with Product Management, Product Marketing, and Engineering on our go‑to‑market motion.
• Recruit and lead a group of specialists to scale your impact.
• Guide customers on data application architecture and decisions.

Qualifications

• 6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI.
• Hands‑on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Trusted advisor to technical executives that inform strategic data decisions.
• Proven ability to co‑plan large territories with Account Executives and operate in a highly coordinated, cross‑functional effort across GTM and R&D teams.
• Expertise in traditional Machine Learning methodologies and deployed large‑scale production systems.
• Deep understanding of LLM application architectures (RAG, agentic, fine‑tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), evaluation methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open‑source).
• Proven track record of successful pre‑sales experience in competitive situations.
• Ability to define and execute strategic programs cross‑functionally.
• High‑impact communication internally and externally.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.