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Staff Software Engineer, Sales Data & Agents

Databricks· Engineering
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New York City, NY$190.9k - $253.8kFull-timePosted 1mo ago

About the role

Role focused on building data & agents for sales/CRM to empower revenue teams with an intelligent layer in the Data+AI platform, including modeling CRM objects, developing agents, and enabling write-back to systems of record with human-in-the-loop capabilities.

Responsibilities

  • Lead the modeling of sales/CRM objects, relationships, and history into representations 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

Qualifications

  • 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects
  • Deep hands-on knowledge of at least one major CRM data model and platform (Salesforce, Dynamics, HubSpot): objects, sharing and permission models, history tables, bulk and change-data APIs, platform limits
  • Real understanding of how reps and managers use these tools day to day, and where forecasting, pipeline hygiene, and territory data break down
  • Experience shipping production agents with tool use, permissioned writes, and human-in-the-loop review
  • High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption
  • Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives
  • Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback
  • Combination of technical and people leadership, for example, as a TLM (Nice to have)
  • Built revops, forecasting, or CPQ-adjacent products (Nice to have)
  • Time spent in-house on a Salesforce platform team or at an SI (Nice to have)

Skills

Required:CRM data modelingAgent development for enterprise appsSystem of record write-back design

Benefits

  • Benefits listed on regional page linked in description
Last updated Sep 10, 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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