Staff Software Engineer, Sales Data & Agents
Databricks2 months ago
Base Salary
$191k - $254k/yr
Responsibilities
- Lead modeling of sales and CRM objects, relationships, and history into representations that agents can reason over reliably.
- Lead development of production agents for sales representatives, sales management, and revenue operations.
- Define and implement permissioned write paths with validation, idempotency, auditing, and human approval.
- Lead implementation of initial data and agent use cases from concept through launch and adoption.
- Partner with product management, design, and engineering teams to build intuitive, scalable, and extensible solutions.
- Create transparent, inspectable interfaces for GenAI agents managing complex workflows while keeping humans in the loop.
- Translate ambiguous customer problems into MVPs and iterate based on data and user feedback.
Requirements
- 10+ years of engineering experience, including experience as a technical lead or leading other technical leads on complex enterprise software projects.
- Deep hands-on knowledge of at least one major CRM data model and platform, including Salesforce, Dynamics, or HubSpot.
- Understanding of CRM objects, sharing and permission models, history tables, bulk and change-data APIs, and platform limits.
- Practical understanding of how sales representatives and managers use CRM tools, including forecasting, pipeline hygiene, and territory data challenges.
- Experience shipping production agents with tool use, permissioned writes, and human-in-the-loop review.
- Ability to take ownership in 0-to-1 environments, make pragmatic trade-offs, and drive projects from idea through launch and adoption.
- Strong collaboration skills across product, engineering, and design teams.
- Product mindset and ability to convert ambiguous customer problems into practical MVPs.
- A combination of technical and people leadership, such as experience as a TLM, is preferred.
- Experience building revops, forecasting, or CPQ-adjacent products is preferred.
- Experience on an in-house Salesforce platform team or at a systems integrator is preferred.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
Tech Stack
Databricks
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.