Senior Engineering Manager, CX Intelligence & AI Platforms

Databricks

Mountain View (CA)

On-site

USD 188,000 - 313,000

Full time

2 days ago
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Job summary

Databricks is seeking a senior engineering leader to architect and scale an AI-native, agent-based backend platform. You will drive the technical vision for a multi-tenant framework, collaborating with CXI, Product, and Platform Engineering to align roadmaps and deliver reliable, scalable workflows across domains.

You will mentor engineers, raise the engineering bar, and ensure high-quality code and observability while shaping the future of enterprise agentic systems.

Qualifications

  • BS or higher degree in Computer Science or a related field.
  • 10+ years of experience building and operating AI-native workflow products or platforms.
  • 5+ years of experience leading and growing software engineering teams.
  • Demonstrated ability to combine software engineering, AI capabilities, operational workflows, and product thinking into cohesive customer experiences.
  • Strong product judgment with the ability to translate ambiguous operational problems into intuitive workflows and measurable business outcomes.
  • Experienced influencing across multiple engineering and product organizations.
  • Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.

Responsibilities

  • Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.
  • Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but expandable to IT, Security, Compliance, Marketing, HR, Legal and all ticket-based workflows across the company.
  • Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
  • Orchestrate Complex Workflows: Design state-machine and agentic workflows evolving from human-in-the-loop validation to fully automated execution.
  • Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
  • Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders to unblock dependencies and align roadmaps.
  • Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
  • Mentor and Cultivate: Mentor engineers and SMEs across Software, Support, and internal operations teams.

Skills

Backend architecture
Multi-tenant platform
AI-native workflows
State-machine design
Observability
Leadership
Mentoring

Education

BS in Computer Science

Job description

Databricks is seeking a senior engineering leader to architect and scale an AI-native, agent-based backend platform. You will drive the technical vision for a multi-tenant framework, collaborating with CXI, Product, and Platform Engineering to align roadmaps and deliver reliable, scalable workflows across domains.

You will mentor engineers, raise the engineering bar, and ensure high-quality code and observability while shaping the future of enterprise agentic systems.

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