Staff Software Engineer, Sales Data & Agents
Databricks•New York City, New York
Full-timeLead
👁️ 0 views•📝 0 applications•Posted 8/28/2026•Expires 10/6/2026
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Job Description
P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. CRM is where revenue teams record their work, however they generally lack a solid intelligence layer. Objects are customized past recognition, history is incomplete, and reps route around whatever slows them down. As a result, the sales intelligence layer increasingly lives in a Data+AI platform. We are looking to productize with data & agents what our customers have been already manually building in our platform. The impact you'll have: Lead the modeling of sales/CRM objects, relationships, and history into a representation agents can reason over reliably Lead development of agents used by reps, sales management, and revenue operations Define the write path back into the system of record: permissions, validation, idempotency, audit, and human approval Help define & lead the implementation of the initial use cases on top of the data & agents Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency What we look for:</st
Required Skills
Data ModelingCRMSales IntelligenceData EngineeringAI InfrastructureUser Interface DesignWorkflow ManagementProduct ManagementDesignScalabilityExtensibilityGenAI
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