4 months ago

Sr Software Engineer- Customer Experience Intelligence (CXI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior software engineer focusing on customer experience automation at scale, delivering AI-powered systems that auto-diagnose issues, deliver solutions instantly, and enable support teams to operate more efficiently. You will collaborate with Support, Product, and Platform Engineering to design and implement automated workflows, observability, and robust, scalable infrastructure for Databricks' CXI initiatives.

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Sr. Manager level

Key Responsibilities

•Contribute to the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
•Development of automation to improve customer experience and Support scalability
•Drive rapid, iterative development while upholding quality, safety, and reliability standards
•Design agentic workflows that evolve from human-in-the-loop to fully automated systems
•Implement observability, transparency, and rollback mechanisms for AI-driven decisions

Key Requirements

•BS or higher degree in Computer Science or a related field.
•Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
•Extensive full stack development experience
•Proven success designing and deploying production-grade automation in complex technical environments
•Hands-on experience with ML-assisted systems, decision support, or agentic automation

Education:Bachelor's

Skills:CollaborationMentorshipProblem-solving

Languages:English

Tech Stack:APIsDistributed systemsMulti-cloudMLObservabilityAutomation

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

4 months ago

Sr Software Engineer- Customer Experience Intelligence (CXI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Mountain View, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Customer Success & Account Management

Seniority: Sr. Manager level

Key Responsibilities

•Contribute to the technical vision and architecture for Databricks’ Support Automation and Tooling ecosystem
•Development of automation to improve customer experience and Support scalability
•Drive rapid, iterative development while upholding quality, safety, and reliability standards
•Design agentic workflows that evolve from human-in-the-loop to fully automated systems
•Implement observability, transparency, and rollback mechanisms for AI-driven decisions

Key Requirements

•BS or higher degree in Computer Science or a related field.
•Experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
•Extensive full stack development experience
•Proven success designing and deploying production-grade automation in complex technical environments
•Hands-on experience with ML-assisted systems, decision support, or agentic automation

Education:Bachelor's

Skills:CollaborationMentorshipProblem-solving

Languages:English

Tech Stack:APIsDistributed systemsMulti-cloudMLObservabilityAutomation

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn