Staff Engineer - AI-Driven Salesforce & CPQ

ServiceTitan, Inc.

United States

Hybrid

USD 153,000 - 229,000

Full time

14 days+

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Benefits offered by this job

Flextime
Equity
Medical, dental, vision
401k match

Job summary

ServiceTitan, Inc. is seeking a Staff Engineer – Applied AI and Salesforce to own the Salesforce platform architecture, CPQ, and billing evolution.

You will drive AI-enabled solutions, collaborate with Marketing, Sales, RevOps, and GTM Systems, and lead from discovery to production deployment. You will design scalable integrations, apply LLM-based approaches, and ensure secure, observable deployments while mentoring engineers and shaping engineering standards.

Qualifications

  • Extensive Salesforce development and integration experience.
  • Proven ability to design scalable AI-enabled Salesforce solutions.
  • Experience with CI/CD and production-grade deployments.

Responsibilities

  • Own architecture and evolution of Salesforce platform, focusing on CPQ and Billing.
  • Translate business problems into scalable technical solutions.
  • Lead technical design, code reviews, and mentor engineers.
  • Develop AI solutions using Python, Azure, LLMs, and APIs.
  • Integrate AI capabilities into Salesforce and GTM ecosystem.
  • Evaluate security, privacy, and responsible-AI controls.
  • Collaborate with leaders across Sales, RevOps, and Engineering.

Skills

Salesforce expertise
Python development
Azure platform
LLM / RAG
Architectural design

Tools

Salesforce Apex
Flow
Lightning Web Components
Platform Events
APIs
Azure Functions
Azure Container Apps
API Management
Key Vault
Azure Monitor

Job description

ServiceTitan, Inc. is seeking a Staff Engineer – Applied AI and Salesforce to own the Salesforce platform architecture, CPQ, and billing evolution.

You will drive AI-enabled solutions, collaborate with Marketing, Sales, RevOps, and GTM Systems, and lead from discovery to production deployment. You will design scalable integrations, apply LLM-based approaches, and ensure secure, observable deployments while mentoring engineers and shaping engineering standards.

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