Base Salary
$221k - $299k/yr
Responsibilities
- Architect scalable, secure, maintainable, and interoperable analytical and customer-centric platforms integrating Salesforce, real-time and batch data pipelines, seller experiences, and ML models.
- Contribute approximately 40–60% hands-on to software development across the full lifecycle while leading architecture, technical strategy, cross-team alignment, and engineering quality.
- Drive complex and ambiguous technical problems across teams and domains to resolution and ensure end-to-end technology and customer-experience quality.
- Define technical standards, patterns, and reference architectures and establish metrics for AI impact, reliability, and safety in production.
- Design and implement evaluation, observability, and guardrail frameworks for responsible AI integrations, including multi-agent systems and LLM-based capabilities.
- Communicate technical strategy and trade-offs to senior product and business leaders and influence roadmap decisions.
- Coach and mentor Staff and senior engineers, grow AI engineering capabilities, and lead through influence across Sales, Partner, and CS Tech organizations.
- Evaluate emerging AI and data technologies and identify high-leverage opportunities to apply AI across the platform.
Requirements
- 12+ years of relevant experience building web, software, or data-intensive applications, with technical leadership at the Senior Staff level or above.
- Demonstrated ability to architect end-to-end analytical and customer-centric platform ecosystems at scale.
- Expert proficiency in at least one object-oriented language, specifically Java/J2EE or C#, and strong judgment in large distributed-system design.
- Hands-on experience designing and shipping AI/ML capabilities in production, ideally including LLM-based or agentic systems such as multi-agent orchestration, retrieval-augmented generation, prompt and context engineering, agent memory, evaluation, and guardrails.
- Ability to influence technical direction across teams and explain complex trade-offs to senior product and business leaders.
- BS/MS in Computer Science or equivalent practical experience.
- Experience with Salesforce or other CRM platforms and seller-facing experiences is a bonus.
- Experience with agent frameworks, model orchestration, vector search, or AI evaluation and observability tooling is a bonus.
- Knowledge of SQL in large-scale data warehouse or lakehouse environments such as Spark, Databricks, or Presto/Athena/Trino is a bonus.
- Hands-on data science or machine learning experience is a bonus.
- Familiarity with Tableau or Qlik Sense is a bonus.
- Deep experience with Big Data and cloud technologies, including AWS, GCP, Hive, Spark, Kafka, SQL, SparkSQL, Cassandra, Redshift, GraphDB, and Apache Iceberg, is a bonus.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
- Base pay range for Mountain View, California: $220,500–$298,500.
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.