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About the job

The Sales Tech team is part of Intuit's Data, Growth, & Experiences (DGX) organization. Our vision in DGX is to power Intuit's financial system of intelligence through trusted, AI-ready data and experiences that fuel breakthrough customer growth and services adoption. Within DGX, Sales Tech builds the platform and intelligence that powers how Intuit's sellers connect with prospective and existing customers across the full lead-to-cash journey. Everything sellers and AI agents do depends on this platform being fast, trustworthy, and connected. We are investing in the architecture that ties these pillars into one coherent system: a clean, governed data foundation, well-defined platform services and APIs, and seamless interoperability with Salesforce and the broader sales ecosystem.

We are seeking a Senior Software Engineer to design, build, and ship features and services in our lead-to-cash domain. This is a hands-on engineering role for someone who writes high-quality code every day, is curious about how revenue flows through enterprise sales systems, and wants to build agentic and AI-assisted experiences that replace manual, spreadsheet-driven processes. You will work directly with sellers, Sales Ops, and product partners to turn real seller pain points into shipped solutions.

Intuit has embraced a hybrid working model and this role will be based out of our Mountain View office 3 days per week.

Responsibilities

Design, build, test, and operate lead-to-cash services and features, integrated with Salesforce and the data pipelines that feed it.

Stay deeply hands-on, contributing roughly 80 to 90 percent to development across the software lifecycle, with the remaining time on design, code review, and team collaboration.

Build and ship agentic and AI-assisted capabilities for the lead-to-cash journey, using Salesforce APIs and MCP integrations and Claude-based workflows, with evaluation and guardrails.

Take well-scoped but evolving problems from understanding through delivery, breaking work into milestones and raising risks and dependencies early with Staff and Senior Staff engineers.

Partner with sellers, Sales Ops, Marketing, PMs, and downstream data teams to understand pain points and validate that what you ship solves them.

Build revenue-critical systems with the correctness and reliability they demand: idempotent processing, reconciliation, monitoring, and clear failure handling.

Write clear design documents for your features, participate in design and code reviews, and help mentor mid-level engineers.

Continuously learn the lead-to-cash domain and the AI and data landscape, and bring ideas for improving the product and engineering practices.

Qualifications

5+ years of relevant experience building web, software, or data-intensive applications, with a track record of delivering features and services end to end.

Strong proficiency in at least one object-oriented language (Java/J2EE or C#) and working experience with React; solid fundamentals in distributed systems, APIs, and data modeling.

Experience building or integrating with Salesforce or a comparable CRM or sales system, or a strong interest in learning the sales process and customer journey from lead to cash.

Hands-on experience with AI/ML or LLM-based features, such as retrieval-augmented generation, prompt and context engineering, or agent workflows, and regular use of AI tools in your development process.

Ability to communicate technical trade-offs clearly to engineers and non-technical partners, and to collaborate across teams.

BS/MS in Computer Science or equivalent practical experience.

Bonus Points

Salesforce platform development (Apex, Lightning Web Components, Platform Events).

Experience building agents with Claude or other agent frameworks, MCP servers, vector search, or AI evaluation and observability tooling.

Exposure to lead-to-cash systems.

Experience supporting sales or go-to-market teams with technology (for example Salesforce, ServiceNow, ZoomInfo environments).

Familiarity with SQL in a data warehouse or lakehouse environment (Spark, Databricks, Presto/Athena/Trino), Kafka, and real-time plus batch processing.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $171,000 - $231,500