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Sr. Engineering Manager - Customer Experience Intelligence (CXI)

Databricks· Engineering
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Hybrid (Mountain View; San Francisco)$222k - $312.6kfull-timePosted 8mo ago

About the role

Senior engineering leadership role focused on architecting and delivering AI-native systems to automate enterprise workflows, starting with Databricks Support, and expanding to multiple verticals such as IT, Security, Legal, Marketing, and other knowledge-worker domains.

Responsibilities

  • Create novel agentic technologies: contribute to technical vision, core infrastructure, and backend architecture for enterprise agents.
  • Drive revenue generation in multiple domains: build a modular agent platform initially optimized for Support with expansion to other verticals.
  • Lead with craftsmanship: drive rapid, iterative development across backend, frontend and relevance systems while upholding quality, safety, throughput, and reliability standards.
  • Automate complex workflows: evolve systems from human-in-the-loop validation to fully automated execution.
  • Create high-resolution observability: implement tracing, observability, and training data collection infrastructure for confident deployments and continuous improvement.
  • Lead across the business: act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders to unblock dependencies and align roadmaps.
  • Raise the bar: set high engineering standards for code quality, system performance, and architectural maintainability in line with Databricks standards.

Qualifications

  • BS or higher degree in Computer Science or a related field.
  • 10+ years of experience building and operating machine learning systems and products in high-volume, customer-facing production environments.
  • 5+ years of experience leading and growing product-oriented software engineering teams.
  • Experience leading teams responsible for methodical, measurable improvement of ML/AI systems (e.g., deep research, retrieval augmented generation, search, feed relevance, or recommender systems).
  • Strong exposure to language modeling technologies, including agent harness design, RAG, and benchmarking/evaluation systems.
  • Passion for product and design, with ability to combine software engineering and AI to create delightful customer experiences.
  • High-agency mindset in ambiguous environments, with responsibility to create from nothing.
  • Solid computer science fundamentals and ability to engage with engineers on technical matters; understanding of state-of-the-art tradeoffs.
  • Excellent written and verbal communication skills.

Skills

Required:Architecting and leading AI-native systemsLeadership of software engineering teamsLanguage modeling technologies (agent harness, RAG)

Benefits

  • Benefits listed in regional documentation accessible via provided link.
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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