Staff Software Engineer, Sales Data & GenAI Agents

Fdetimes; New York (NY); On-site; USD 191,000 - 254,000; Full time

Job summary

Databricks is hiring an experienced engineer to lead the modeling of CRM objects, relationships, and history into representations that GenAI agents can reason about reliably. You will also lead development of agents used by sales teams and revenue operations, and define the write-back paths into the system of record with proper permissions and governance.

The role emphasizes ownership, pragmatic trade-offs, and collaboration across product, engineering, and design to deliver scalable,

Qualifications

• 10+ years of engineering experience on complex enterprise software projects.
• 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.

Responsibilities

• Lead the modeling of sales/CRM objects, relationships, and history into representations 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 with product management, design, and other engineering teams to build scalable solutions.

Skills

CRM data model knowledge

Engineering leadership

Product mindset

Cross-functional collaboration

Experience with sales tools

Job description

Databricks is hiring an experienced engineer to lead the modeling of CRM objects, relationships, and history into representations that GenAI agents can reason about reliably. You will also lead development of agents used by sales teams and revenue operations, and define the write-back paths into the system of record with proper permissions and governance.

The role emphasizes ownership, pragmatic trade-offs, and collaboration across product, engineering, and design to deliver scalable,