About the job
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.
Responsibilities
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
Qualifications
Minimum
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
Preferred
Combination of technical and people leadership, for example, as a TLM
Built revops, forecasting, or CPQ-adjacent products
Time spent in-house on a Salesforce platform team or at an SI