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ServiceTitan

Cloud-based field service management for trades

Staff Engineer Applied AI and Salesforce

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Typically 10+ years of software engineering, solutions engineering, systems engineering, or technical architecture experience.
  • Experience building AI-powered solutions for Sales, SDR, Revenue Operations, or pre-sales organizations.
  • Demonstrated experience designing, building, and operating production applications using Salesforce, integration platforms, Python, and Microsoft Azure.
  • Strong hands-on experience with LLM-based applications, RAG, embeddings, vector or hybrid retrieval, prompt and context management, structured outputs, tool calling, and AI evaluation.
  • Strong Salesforce expertise, including Salesforce Apex, Flow, Lightning Web Components, Platform Events, data models, APIs, integrations, automation, security, and custom development.
  • Experience integrating Salesforce with cloud services, enterprise data sources, and third-party platforms.
  • Deep functional understanding of GTM processes, including sales development and prospecting, lead and account management, opportunity lifecycle, pipeline generation and inspection, deal progression, forecast management, and sales productivity.
  • Experience building production APIs, services, integrations, and data-processing workflows.
  • Strong understanding of cloud security, identity, access management, data privacy, observability, testing, and deployment practices.
  • Experience with CI/CD, infrastructure as code, and automated testing.
  • Proven ability to work directly with business stakeholders, uncover root problems, challenge assumptions, and recommend pragmatic solutions.
  • Ability to independently navigate ambiguity and move from problem definition to production deployment.
  • Strong written and verbal communication skills across technical, business, and executive audiences.

Responsibilities

  • Partner directly with Marketing, Sales, SDR, RevOps, and GTM Systems leaders to identify, prioritize, and define high-value AI use cases.
  • Translate business problems into scalable technical solutions rather than simply implementing predefined requirements.
  • Own solution delivery from discovery, technical design, and prototyping through production deployment, adoption, monitoring, and optimization.
  • Design and build production-grade applications using Python, Azure, Salesforce, LLMs, RAG architectures, APIs, and third-party AI tools.
  • Design reusable agentic solutions spanning orchestration, MCP servers and connectors, live system tool calling, and conversational experiences across Slack, embedded chat, APIs, and Salesforce, with standardized connector libraries, deployment patterns, and Dev, UAT, and Production promotion paths.
  • Develop AI solutions for account and prospect research; lead qualification and prioritization; personalized seller and SDR outreach; seller productivity and workflow automation; opportunity intelligence and next-best actions; pipeline inspection and deal-risk identification; forecast management and accuracy; and guided selling and knowledge retrieval.
  • Integrate AI capabilities into Salesforce and the broader GTM technology ecosystem through APIs, platform events, automation, and embedded user experiences.
  • Establish evaluation practices for AI quality, groundedness, relevance, task completion, hallucination risk, latency, cost, reliability, and business impact.
  • Implement appropriate security, access, privacy, monitoring, and responsible-AI controls.
  • Evaluate Salesforce-native, Azure-native, and third-party AI solutions and recommend whether to buy, build, or integrate.
  • Convert successful solutions into reusable services, components, templates, evaluation datasets, and architecture patterns.
  • Lead technical design and code reviews, mentor engineers, and help establish engineering standards for GTM AI solutions.
  • Partner with business teams to drive workflow redesign, adoption, and measurable business outcomes.

Desired Qualifications

  • Experience with Azure OpenAI, Microsoft Foundry, Azure AI Search, Azure Functions, Azure Container Apps, API Management, Key Vault, and Azure Monitor.
  • Experience with Vercel AI SDK, Mulesoft, Salesforce Agentforce, and Data Cloud.
  • Familiarity with modern AI orchestration frameworks, model gateways, vector databases, and evaluation platforms.

About the Company

ServiceTitan

Cloud-based field service management for trades

ServiceTitan provides a cloud-based, all-in-one software platform for home and commercial trades businesses. It combines CRM, scheduling/dispatch, invoicing, payroll, marketing, inventory, and reporting in a single SaaS, with a mobile app for field technicians and Titan Intelligence for automation and data insights, plus integrated payment processing. It differentiates itself by focusing on trades, unifying front- and back-office workflows in one system, and growing through acquisitions and strong funding. Its goal is to help trades companies operate more efficiently, grow revenue, and make smarter, data-driven decisions.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Glendale, CA
Founded
2012

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