Lead Salesforce Developer

ServiceTitan•US TX Remote, TX

1d•$152,600 - $245,000

About The Position

ServiceTitan is looking for a Lead Salesforce Engineer to join their team. In this role, the individual will own the architecture, development, and ongoing evolution of the Salesforce platform, with a deep focus on CPQ and Billing. They will collaborate with stakeholders across Sales, Revenue Operations, and Engineering, and leverage AI tools to accelerate delivery, raise quality, and push the boundaries of what the Salesforce org can do.

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, 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.

Nice To Haves

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.

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, 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.

Benefits

Flexible time off
Learning and development opportunities
Comprehensive onboarding program
Leadership training
Bonusly
Peer-nominated awards
Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents)
FSA and HSA
401k match
Telehealth options including memberships to One Medical
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