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Remote, Oregon, United States
Remote only
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.
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.
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.
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. So, if you have the skills but are hesitant to apply because of your background, apply anyway. 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:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
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.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. 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.
