Director PM, AI Foundation
Software Engineering, Data Science
Mountain View, CA, USA
Director PM, AI Foundation
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Intuit is a global platform company that is on a mission to power prosperity around the world for consumers, small businesses and the self-employed. Across our leading brands - TurboTax, Credit Karma, QuickBooks, and Mailchimp - Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
This role leads the product strategy for Intuit’s internal AI developer platform — including GenAI developer tooling, agent frameworks, shared AI services, model access and routing, prompt and evaluation infrastructure, observability, cost visibility, and platform standards. You will not simply ship AI features; you will build the paved road that enables 1,000+ engineers to build production-ready AI capabilities with speed, trust, and consistency.
Responsibilities
10–15+ years of product leadership experience, with deep experience in platform, infrastructure, developer tooling, AI/ML, or enterprise SaaS products at scale.
Demonstrated success building or scaling AI developer platforms, internal GenAI platforms, or shared AI services used by hundreds or thousands of engineers.
Strong product judgment for platform adoption: you know how to make shared tooling the path of least resistance through strong developer experience, clear standards, and measurable adoption.
Deep familiarity with modern GenAI platform capabilities, including agent orchestration, prompt management, evaluation frameworks, model routing, RAG/context services, model serving, observability, governance, and cost management.
Proven ability to define what “production-ready AI” means across latency, reliability, safety, quality, cost, monitoring, explainability, and developer velocity.
Track record translating complex technical platform investment into business outcomes, including adoption metrics, productivity gains, cost attribution, eval coverage, reliability, and risk reduction.
Experience leading through influence across engineering, product, data science, security, legal, and business unit stakeholders with competing priorities.
Strong people leadership experience, including developing senior IC PMs, setting clear product operating rhythms, and building a high-performing platform product organization.
Customer-backed mindset with developers as the primary customer, balanced with a strong understanding of end-customer trust, safety, and business impact.
AI fluency and curiosity, with a practical point of view on how GenAI platforms should evolve as models, tooling, governance expectations, and developer workflows change.
Qualifications
Own the product vision, strategy, and roadmap for Intuit’s AI Foundations portfolio, including internal GenAI developer tooling, agent framework, shared AI services, model services, context and RAG capabilities, evaluation and monitoring, and AI infrastructure cost visibility.
Build the internal equivalent of a purpose-built AI platform for Intuit’s engineering organization — enabling teams to create AI-powered experiences without rebuilding foundational capabilities in isolation.
Drive developer adoption across business units by deeply understanding engineer workflows, reducing friction, and making standardized platform capabilities the fastest and safest way to ship AI.
Establish clear platform success metrics, including active developer adoption, platform usage, time-to-production, review-cycle reduction, eval coverage, reliability, latency, cost efficiency, and production incident reduction.
Scale production AI rigor by driving adoption of tracing, continuous evaluation, model and agent monitoring, guardrails, and quality measurement across Intuit’s AI experiences.
Partner with engineering leaders to make high-quality platform tradeoffs across build vs. buy, standardization vs. flexibility, speed vs. reliability, and experimentation vs. enterprise readiness.
Create visibility into AI platform ROI through cost attribution, usage insights, model performance monitoring, and executive-ready reporting that helps leaders fund what works.
Define and operationalize AI platform standards that improve safety, consistency, governance, and developer velocity across Intuit.
Lead cross-BU prioritization for shared AI platform capabilities, ensuring the roadmap reflects the highest-leverage needs of Intuit’s engineering teams and customers.
Build, coach, and retain a world-class AI platform product management team with strong technical depth, customer empathy, and data-driven decision-making.
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: