Sr. Staff Software Engineer, Agentic Applications
Builds LLM-powered agentic applications and evaluation systems—directly aligned with vibe coding and AI-driven prototyping.
About the Role
Lead the design and implementation of Databricks' agentic Quote-to-Cash applications, building LLM-powered agents and production-grade systems that handle quoting, ordering, billing and revenue recognition. Serve as a hands-on technical architect and senior engineering voice to ensure reliability, auditability, and financial integrity across revenue-critical workflows.
Job Description
Role
Databricks is hiring a Senior Staff Software Engineer on the Agentic Applications team to be the hands-on technical lead for Quote-to-Cash systems. You will own end-to-end architecture and implementation of first-party, agent-first applications built on the Databricks platform, designing and shipping LLM-powered agents that integrate with revenue workflows while ensuring observability, auditability, and compliance.
Key Responsibilities
- Own the agentic architecture across Configure-Price-Quote, deal management, ordering, subscriptions, billing and revenue recognition.
- Design and ship production LLM-powered agents for deal guidance, quote generation, multi-option proposals, approval insights, and pricing/discount recommendations.
- Define and operate evaluation and quality systems: per-workflow quality criteria, offline eval suites, LLM-as-judge, human-labeled benchmarks, behavioral regression testing in CI/CD, online tracing, and feedback loops.
- Design human-in-the-loop controls: approval workflows, diff-based review, approval routing, audit logging, and policy guardrails for probabilistic systems.
- Architect governed, run-time tool access patterns (tool-calling, MCP-style interfaces) to pricing, catalog, order, contract, subscription and billing data with single-source-of-truth principles across CRM/ERP systems.
- Ensure financial integrity and compliance for agent-assisted quoting and ordering (order validation, billing, invoicing, revenue recognition).
- Lead migration from existing vendor-configured workflows to first-party, AI-native applications, sequencing work to avoid business disruption.
- Establish engineering standards, design patterns for agent orchestration/memory/retrieval/tool use/multi-agent coordination, and mentor senior and mid-level engineers.
- Partner cross-functionally with Finance, Deal Desk, Sales Ops, Legal and Platform engineering to turn complex commercial processes into technical roadmaps and measurable outcomes.
Requirements
- 12+ years of software engineering experience with a track record of technical leadership and ownership of large-scale production systems.
- 3+ years hands-on experience building and running LLM-powered or agentic applications in production (agents, RAG pipelines, tool use, multi-agent orchestration, evaluation frameworks).
- Strong backend and distributed-systems skills: API/service design, data modeling, idempotency, consistency/transactional integrity, and observability.
- Proven experience designing human-in-the-loop systems: approval workflows, review interfaces, audit trails, and guardrails for regulated/high-stakes domains.
- Experience leading technical architecture for complex business domains, ideally Quote-to-Cash, Order-to-Revenue, billing, or pricing systems.
- Full-stack fluency across modern web frameworks (React/TypeScript), backend services (Python, Java, Scala, or Go), and data platforms.
- Ability to work directly with non-engineering stakeholders to convert ambiguous workflows into clear agent and system architectures.
- Experience mentoring engineers and raising technical execution standards without relying on positional authority.
Nice to have
- Domain experience with CPQ, deal management, subscription management, or revenue recognition in SaaS or consumption-based businesses.
- Experience building first-party apps on or replacing enterprise SaaS platforms (Salesforce CPQ/Revenue Cloud, NetSuite, Zuora).
- Experience with Databricks platform components: Databricks Apps, Lakebase, Unity Catalog, Mosaic AI Agent Framework, MLflow tracing and evaluation.
- Familiarity with SOX controls, audit requirements, and financial-systems compliance.
Compensation & Location
- Zone 1 pay range: $233,900 — $321,650 USD (role may also include annual bonus and equity; final compensation depends on location and candidate factors).
- Location: Mountain View, CA.
Benefits
- Eligibility for annual performance bonus and equity; comprehensive region-specific benefits offered.