Base Salary
$221k - $299k/yr
Responsibilities
- Architect pipeline and forecasting platforms, CPQ and deal-lever automation, contract lifecycle management, and omni-channel order fulfillment on Salesforce and enterprise platform services.
- Own integration patterns and architectural boundaries between sales, monetization, billing, and commerce platforms.
- Remain hands-on across the software lifecycle, contributing approximately 40–60% to development.
- Resolve complex cross-team technical problems and ensure end-to-end technology and customer-experience quality.
- Embed AI capabilities into deal-health scoring, forecasting, quoting, and contract review with measurable evaluation, observability, and guardrails.
- Define technical standards, reference architectures, reliability measures, and revenue-critical correctness practices for the lead-to-cash domain.
- Influence senior product and business leaders by communicating technical strategy and trade-offs.
- Coach Staff and senior engineers and lead through influence across the Sales, Partner, and CS Tech organizations.
Requirements
- 12+ years of relevant experience building web, software, or data-intensive applications, with technical leadership at the staff level or above.
- Deep enterprise-scale lead-to-cash expertise, including quote-to-cash systems such as CPQ, contract lifecycle management, order management, billing, or revenue and forecasting platforms.
- Experience with Salesforce or comparable CRM platforms and seller-facing revenue workflows.
- Expert proficiency in at least one object-oriented language, specifically Java/J2EE or C#.
- Experience shipping AI/ML capabilities in production, ideally LLM-based or agentic systems involving orchestration, retrieval-augmented generation, evaluation, or guardrails.
- Ability to influence technical direction across teams and organizations and communicate complex trade-offs to senior leaders.
- BS/MS in Computer Science or equivalent practical experience.
- Preferred experience with Salesforce CPQ, Revenue Cloud, Apttus/Conga, DocuSign CLM, Salesforce certifications, forecasting, sales credit, quota, consumption-based revenue systems, agent frameworks, model orchestration, vector search, AI evaluation and observability tooling, SQL, large-scale data warehouses or lakehouses, Spark, Databricks, Presto/Athena/Trino, Kafka, and real-time and batch processing.
Benefits
- Hybrid role based in the Mountain View office three days per week.
- Competitive compensation package with pay-for-performance rewards, potential cash bonus, equity rewards, and benefits.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.
