Field Engineering, Ai/ml Product Specialist

Databricks Databricks · Data AI · Singapore · Field Engineering - Other

Field Engineering, AI/ML Product Specialist role focused on driving adoption of Databricks AI/ML products in the APAC region. Responsibilities include defining go-to-market strategy, guiding customer architecture, presenting and demoing products, supporting field teams, and acting as a trusted advisor to senior executives. The role involves external thought leadership through conferences and content, and internal cross-functional collaboration with product management and engineering.

What you'd actually do

  1. Lead the vision and strategy for AI/ML products adoption in Asia Pacific and Japan
  2. Develop materials for our GTM team to effectively communicate our value proposition
  3. Support our field teams in key strategic pursuit opportunities
  4. Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
  5. Act as the thought leader to build confidence and relationships with our customers at the executive level

Skills

Required

  • 6+ years of experience in Data Science, Machine Learning
  • 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
  • Proven ability to co-plan large territories with Account Executives
  • Expertise in traditional Machine Learning methodologies
  • deployed large scale production systems
  • Deep understanding of LLM application architectures (RAG, agentic, fine-tuning)
  • agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy)
  • eval methodology
  • foundational model markets (Claude, Llama, Mistral, OpenAI, open-source)
  • Proven track record of successful pre-sales experience in competitive situations
  • Ability to define and executive strategic program cross functionally
  • High impact communication internally and externally

What the JD emphasized

  • production Gen AI
  • production level data applications
  • LLM application architectures
  • agent frameworks
  • eval methodology
  • foundational model markets
  • pre-sales experience

Other signals

  • driving adoption
  • technical expert
  • thought leader
  • pre-sales experience