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.
- Eligibility for annual performance bonus and equity; comprehensive region‑specific benefits offered.
Databricks Apps Lakebase Unity Catalog Mosaic AI Mosaic AI Agent Framework MLflow Agent Bricks Lakeflow Genie Unity Catalog LangGraph OpenAI Agents SDK DSPy React TypeScript Python Java Scala Go RAG CI/CD Salesforce CPQ/Revenue Cloud NetSuite Zuora CRM ERP
Skills
Technical Leadership System Design Distributed Systems API Design Data Modeling Observability Reliability Engineering Human‑in‑the‑loop Systems Evaluation Frameworks CI/CD and Testing Mentoring Stakeholder Management Migration Planning Design Patterns Financial & Compliance Awareness Full‑stack Development