Staff Software Engineer

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. 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 Staff Software Engineer to own the design and delivery of core services in our lead-to-cash domain: pipeline and forecasting, quoting (CPQ), contract management, and order automation. This is a hands-on technical leadership role for an engineer who knows how revenue flows through enterprise sales systems, can lead a domain end to end, and wants to build the AI-assisted deal workflows that replace manual spreadsheet-driven processes.

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, and operate the services behind pipeline management, forecasting, quoting, contracts, and order automation, integrated with Salesforce and the real-time plus batch data pipelines that feed them.
• Stay deeply hands-on, contributing roughly 70 to 80 percent to development across the software lifecycle, with the remaining time on design, technical alignment, and raising engineering quality.
• Own complex, ambiguous technical problems within the lead-to-cash domain end to end, and drive cross-team dependencies to resolution in partnership with Senior Staff and Principal engineers.
• Build revenue-critical systems with the correctness, auditability, and reliability bar they demand: idempotent processing, reconciliation, and clear failure handling.
• Ship AI capabilities to production responsibly: deal intelligence, assisted quoting, and forecasting features with evaluation, observability, and guardrail mechanisms.
• Write clear design documents, communicate trade-offs to engineers and cross-functional partners, and mentor senior and mid-level engineers through code and design reviews.
• Stay current with the AI and data landscape and proactively identify opportunities to apply AI within the domain.

Qualifications

• 8+ years of relevant experience building web, software, or data-intensive applications, with a track record of leading significant technical workstreams at the senior level or above.
• Hands-on lead-to-cash domain experience: building or integrating CPQ, quoting, contract, order management, billing, or forecasting systems, ideally on or around Salesforce or a comparable CRM.
• Strong proficiency in at least one object-oriented language (Java/J2EE or C#), and sound design judgment across distributed systems.
• Hands-on experience building and shipping AI/ML capabilities in production, ideally including LLM-based features (retrieval-augmented generation, prompt and context engineering, or evaluation frameworks).
• Ability to influence technical decisions within and across teams, and to communicate trade-offs clearly to technical and non-technical audiences.
• BS/MS in Computer Science or equivalent practical experience.

Bonus Points:

• Salesforce platform development (Apex, Lightning Web Components, Platform Events) or Salesforce CPQ/Revenue Cloud experience.
• Experience with quota, sales credit, incentive, or consumption analytics systems (e.g., Anaplan, Callidus integrations).
• Exposure to agent frameworks, model orchestration, vector search, or AI evaluation tooling.
• Kafka, lakehouse environments (Spark, Databricks, Presto/Athena/Trino, Iceberg), 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 $202,500 - $274,000