Staff Software Engineer, Sales Data & Agents
The Staff Software Engineer will lead the development of AI agents and data modeling for CRM systems, enabling sales teams to leverage Databricks' platform for intelligent workflows. The role involves designing scalable, secure write paths and novel interfaces for GenAI agents that manage complex sales processes.
- Compensation
- $190.9K–$253.8K / yr
- Location
- New York City, New York
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Sales
- Posted
Skills
Must have
- 10+ years of engineering experience, including time as a tech lead
- Deep hands-on knowledge of at least one major CRM data model and platform (Salesforce, Dynamics, HubSpot)
- 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
- Strong ability to collaborate across product, engineering, and design teams
- Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs
Nice to have
- 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
Full 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:
- 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