Staff Software Engineer, Sales Data & Agents

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 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:

• 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)

Pay Range Transparency

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Local Pay Range $190,900-$253,750 USD