Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of 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.
Join a world-class growth team building the future of how small businesses discover, adopt, and grow with QuickBooks. Intuit QuickBooks is building the future of agentic accounting, leveraging LLMs, reasoning models, and computer-using agents. We're looking for a seasoned Product Manager to drive the strategy for this initiative. This involves designing and delivering robust AI agents capable of complex reasoning and task execution at massive scale, leveraging QuickBooks' unique data assets and business intelligence. You will define how these agents perform their tasks, how they collaborate with customers, and how we build trust and ensure accuracy with non-deterministic technology.
This role is hybrid, three days per week onsite in our Mountain View, CA office. Depending on team needs and business approval, there may be flexibility to be based out of our San Francisco office.
Responsibilities
Qualifications
6+ years designing and delivering world-class software products focused on platform, data-intensive systems, or AI/ML-powered experiences.
Deep understanding and significant hands-on experience defining strategy for and shipping products leveraging Generative AI, complex Machine Learning models, Conversational AI or Agentic AI systems, to solve challenging user problems at scale.
Passion for tackling complex consumer problems, ideally within fintech, personal finance, tax, or related domains where user trust, accuracy, and data privacy are paramount.
Strong technical intuition; comfortable engaging deeply with engineering and data science on system architecture, model capabilities, APIs, and technical trade-offs. Ability to translate complex AI concepts into clear product
Bachelor’s degree required with a focus in Computer Science, Engineering, Data Science, Statistics, Economics, Business Administration, or related quantitative/technical field. An MBA or an equivalent experience will be considered.
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: