Staff Engineer -Applied AI and Salesforce

ServiceTitan, Inc.; Town of Texas (WI); Hybrid; USD 153,000 - 245,000; Full time

Job summary

ServiceTitan, Inc. is seeking a Lead Salesforce Engineer to own the architecture, development, and evolution of our Salesforce platform, with a focus on CPQ and Billing, collaborating across Sales, RevOps, and Engineering.

You will lead design, prototyping, and production deployment of AI-enabled solutions using Python, Azure, LLMs, and APIs, mentor engineers, and drive secure, scalable integrations across the GTM tech stack.

Qualifications

• 10+ years in software engineering or architecture.
• Experience building AI-powered solutions for sales/revops.
• Strong Salesforce expertise: Apex, Flow, LWC, Platform Events, APIs.
• Experience integrating Salesforce with cloud services.
• Translate problems into scalable technical solutions.

Responsibilities

• Define high-value AI use cases with GTM teams.
• Own solution delivery from discovery to production deployment.
• Design and build production-grade apps using Python, Salesforce, Azure.
• Develop AI solutions for lead qualification, forecast, automation.
• Lead technical design reviews and mentor engineers.
• Ensure security, privacy, monitoring, and reliability.

Skills

Salesforce expertise

Apex & LWC

LLMs & AI

Python

Azure

CI/CD

Stakeholder comms

Education

Bachelor's degree in CS

Tools

Salesforce APIs

APIs & Integrations

Azure

GitHub Actions

Job description

Ready to be a Titan?

ServiceTitan is looking for a Lead Salesforce Engineer to join our team. In this role, you'll own the architecture, development, and ongoing evolution of our Salesforce platform - with a deep focus on CPQ and Billing - while collaborating with stakeholders across Sales, Revenue Operations, and Engineering. You'll leverage AI tools to accelerate delivery, raise quality, and push the boundaries of what our Salesforce org can do.

What You'll Do

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, 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, 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.

What We're Looking For

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, 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.

Preferred 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 platform.

Be Human With Us

Being human isn't about checking every box on a list. It's about the experiences we have, people we meet, and the perspectives we share. We need amazing people like you to help us challenge the conventional and think differently about the problems that we're solving. We're in this together. Come be human, with us.

Use of AI Technology

We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

What We Offer

• Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
• Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
• Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

Equal Employment Opportunity

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

Compensation

For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $163,400 USD - $245,000 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $152,600 USD - $229,000 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.

Vision

We're building the first end-to-end solution to transform the trades, a trillion-dollar global industry that's been underserved by technology for far too long. Recognized by Forbes as one of the top cloud companies, we use our deep industry knowledge and technical expertise to develop solutions that empower everyday entrepreneurs to grow and scale their businesses. While our vision is bold, we always stay humble. Join us. We're just getting started.