Sr. Staff Software Engineer, Agentic Applications
Databricks3 days ago
Base Salary
$234k - $322k/yr
Responsibilities
- Own the target agentic architecture for quote-to-cash workflows including CPQ, deal management, ordering, subscriptions, billing, and revenue recognition.
- Design and ship LLM-powered agents for deal guidance, quote generation, proposals, approval insights, and pricing and discount recommendations.
- Build evaluation, quality, tracing, regression-testing, and feedback systems for production agents.
- Implement human-in-the-loop controls including approval routing, diff-based review, audit logging, and policy guardrails.
- Architect governed tool-calling and MCP-style interfaces for access to pricing, catalog, order, contract, subscription, and billing data.
- Ensure agent-assisted quoting and ordering maintain financial accuracy, compliance, and downstream reporting integrity.
- Lead migration from the existing production quoting platform to the target first-party agentic architecture.
- Lead architecture reviews, establish agent design patterns, and mentor senior and mid-level engineers.
- Partner with Finance, Deal Desk, Sales Ops, Legal, and Platform engineering to translate business workflows into technical roadmaps.
Requirements
- 12+ years of software engineering experience with technical leadership and ownership of large-scale production systems.
- 3+ years of hands-on experience building and running LLM-powered or agentic applications in production.
- Experience with agents, RAG pipelines, tool use, multi-agent orchestration, and generative-output evaluation frameworks.
- Strong backend and distributed-systems skills including API and service design, data modeling, idempotency, consistency, transactional integrity, and observability.
- Experience designing human-in-the-loop systems with approval workflows, review interfaces, audit trails, and guardrails for high-stakes or regulated systems.
- Experience leading architecture for complex business domains, preferably quote-to-cash, order-to-revenue, billing, pricing, or other revenue-critical enterprise systems.
- Full-stack fluency across React and TypeScript, backend languages such as Python, Java, Scala, or Go, and data platforms.
- Ability to work directly with non-engineering stakeholders and convert ambiguous workflows into clear system architecture.
- Experience mentoring engineers and improving technical execution without relying on positional authority.
- Preferred experience with CPQ, deal management, subscription management, revenue recognition, or enterprise SaaS platforms.
- Preferred experience with Salesforce CPQ/Revenue Cloud, NetSuite, Zuora, Databricks Apps, Lakebase, Unity Catalog, Mosaic AI Agent Framework, or MLflow tracing and evaluation.
- Familiarity with SOX controls, audit requirements, and financial-systems compliance.
Benefits
- The role is based in Mountain View, California.
- The posted Zone 1 compensation package may also include annual performance bonus, equity, and benefits.
- Databricks offers comprehensive benefits and perks, with region-specific details provided separately.
Tech Stack
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.