Senior AI Sales Operations Architect

Neon; San Francisco (CA); On-site; USD 125,000 - 172,000; Full time

Job summary

Databricks in San Francisco is seeking a role that owns AI agent workflows across Sales Operations, translating business requirements into production-ready agents. You will deploy, monitor, and continuously improve systems while leading cross-functional projects to fix data quality and coordinate solutions across platforms.

The position emphasizes AI-native thinking, engineering-like discipline in automation, and collaboration with Strategy, Planning, Finance, IT, and Data Engineering to drive

Qualifications

• 5–8 years in operations, systems administration, or business process automation (ideally in high-growth tech)
• Systems fluency with APIs, data schemas, and integration patterns
• AI-native thinking and judgment on automation vs. human oversight
• Hands-on experience building AI agents or automation workflows
• Process design with a systems mindset
• Cross-functional influence across multiple teams
• Bias for action and self-motivation

Responsibilities

• Build and operate AI agents and automation workflows that handle requests autonomously
• Own an agent portfolio with end-to-end management and escalation paths
• Drive process and systems improvement across enterprise platforms
• Partner cross-functionally to gather requirements and influence leadership on automation priorities
• Support critical business processes including annual planning cycles

Skills

AI agents

Agent workflows

Process improvement

Cross-functional

Operational continuity

Experience 5–8 years

Systems fluency

AI-native thinking

Agent deployment

Systems integration

APIs

Data schemas

Integration patterns

Tools

APIs

Data schemas

Integration patterns

Job description

Databricks in San Francisco is seeking a role that owns AI agent workflows across Sales Operations, translating business requirements into production-ready agents. You will deploy, monitor, and continuously improve systems while leading cross-functional projects to fix data quality and coordinate solutions across platforms.

The position emphasizes AI-native thinking, engineering-like discipline in automation, and collaboration with Strategy, Planning, Finance, IT, and Data Engineering to drive