P-1607
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 01 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 TransparencyDatabricks is committed to fair and equitable compensation practices. 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. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$190,900-$253,750 USD
