Role at a glance
- Salary
- Not Disclosed
- Location
- New York City, New York, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects
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Role Summary
This role develops data models and agents that help sales and revenue teams work with CRM data. It also defines how agent actions are written back to systems of record and helps implement initial use cases and interfaces for complex workflows.
What You'll Do
- Model sales and CRM objects, relationships, and history so agents can reason over them reliably.
- Develop agents for sales reps, sales management, and revenue operations.
- Define write-back processes, including permissions, validation, idempotency, auditing, and human approval.
- Help define and lead implementation of initial use cases built on the data and agents.
- Create interfaces for GenAI agents that support complex workflows with inspectability and transparency.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
10+ years of engineering experience, including technical leadership on complex enterprise software projects. Required qualifications include hands-on knowledge of a major CRM platform and its data model, understanding how sales reps and managers use CRM tools, and experience shipping production agents with tool use, permissioned writes, and human review. The role also calls for ownership in 0-to-1 environments, cross-functional collaboration, and a product mindset for turning customer problems into MVPs and iterating with data and feedback.
Required
- 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, or HubSpot; including objects, sharing...
- Understanding of how reps and managers use CRM tools 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-to-1 environments; comfort making pragmatic trade-offs, operating with incomplete information,...
- Ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives
- Product mindset and ability to translate ambiguous customer problems into scrappy MVPs and iterate 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
- 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 Transparency
Databricks 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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.