Engineering Jobs at Intuit with Visa Sponsorship
Intuit's Engineering teams build the financial technology products used by millions of small businesses and consumers worldwide. The company has a well-established sponsorship process for Engineering roles across software development, infrastructure, and data, and works with candidates on a range of work visa and permanent residency pathways.
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Intuit is a global financial platform company with a mission to empower everyone to prosper. Our innovative products, including TurboTax, QuickBooks, CreditKarma, and Mailchimp, use technology to solve challenging financial problems for millions of people worldwide. At Intuit, we believe in living our values every day, with integrity at the core of everything we do. Our mission to power prosperity around the world drives us to design products that help our customers make more money, save time, and make confident financial decisions.
Intuit is seeking a “Group Development Manager” for the "AI Foundations Platform". This role is specifically looking for a person with a good blend of AI Science and Engineering background. We are responsible for building AI platform technology which helps power AI experiences across Intuit. Please come join us to contribute to our proprietary GenOS platform.
Responsibilities
- Deliver high quality customer-driven software offerings/products to market that simplify and solve for current customer needs while building for the future.
- Lead a mixed team of engineers and AI Scientists.
- Should possess strong technical skills, have a career history of strong hands-on software engineering and development experience, and the tactical and visionary leadership skills to motivate, guide, and earn the respect from a highly talented engineering team.
- Responsible for initiating and driving the adoption of technology, product and process improvements throughout the software delivery life cycle.
- Provide technical leadership, career development, and management of performance, objectives, and priorities of all reporting staff - Build a high performing, results-oriented organization.
- Drive and own the functional and non-functional requirements road map for your organization.
- Provide/inspire AI science innovations that fuel the growth of Intuit as a whole.
- Develop product expertise and advocate on behalf of the customer.
- Drive initiatives to improve testing at all levels & deliver automation to ensure robustness and protect our customer.
- Embrace & implement new ideas that produce outstanding results for our customers.
- Drive adoption of best practices, tools, systems and metrics across the organization.
- Imbibe and coach excellence in product, engineering and operations.
Qualifications
- BS or higher in an appropriate technology field (Computer Science, Statistics, Applied Math, Physics, etc.)
- At least 10+ years of industry experience with a minimum of two years of proven track record of leading high performing teams (engineering and AI science).
- Hands on engineering leader who can nurture working with highly motivated and extremely talented engineers and AI scientists to work on high visibility products.
- Someone with strong belief in agile and lean thinking have a passion for velocity, engineering and operational excellence.
- Experience with Generative AI, LLM operations, AI assistant, prompt engineering, embedding and AI evaluations.
- Experience with any cloud vendors like AWS, GCP, Azure.
- Experience with AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices.
- Strong exposure to Enterprise Java platform, Spring Framework, Kubernetes based container deployments.
- Solid software development fundamentals (Data Structures, algorithms, problem solving, OO Design, and system architecture) with specialization on end to end software development using modern SaaS / public cloud deployments with a DevOps mindset.
- Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
- Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level.
- Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders.
- Drives strategic technology/engine reuse, technology and architecture health, and development process improvement.
- A highly technical and result oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams.
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. 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:
- Bay Area California $222,000-300,500
Overview
Intuit is a global financial platform company with a mission to empower everyone to prosper. Our innovative products, including TurboTax, QuickBooks, CreditKarma, and Mailchimp, use technology to solve challenging financial problems for millions of people worldwide. At Intuit, we believe in living our values every day, with integrity at the core of everything we do. Our mission to power prosperity around the world drives us to design products that help our customers make more money, save time, and make confident financial decisions.
Intuit is seeking a “Group Development Manager” for the "AI Foundations Platform". This role is specifically looking for a person with a good blend of AI Science and Engineering background. We are responsible for building AI platform technology which helps power AI experiences across Intuit. Please come join us to contribute to our proprietary GenOS platform.
Responsibilities
- Deliver high quality customer-driven software offerings/products to market that simplify and solve for current customer needs while building for the future.
- Lead a mixed team of engineers and AI Scientists.
- Should possess strong technical skills, have a career history of strong hands-on software engineering and development experience, and the tactical and visionary leadership skills to motivate, guide, and earn the respect from a highly talented engineering team.
- Responsible for initiating and driving the adoption of technology, product and process improvements throughout the software delivery life cycle.
- Provide technical leadership, career development, and management of performance, objectives, and priorities of all reporting staff - Build a high performing, results-oriented organization.
- Drive and own the functional and non-functional requirements road map for your organization.
- Provide/inspire AI science innovations that fuel the growth of Intuit as a whole.
- Develop product expertise and advocate on behalf of the customer.
- Drive initiatives to improve testing at all levels & deliver automation to ensure robustness and protect our customer.
- Embrace & implement new ideas that produce outstanding results for our customers.
- Drive adoption of best practices, tools, systems and metrics across the organization.
- Imbibe and coach excellence in product, engineering and operations.
Qualifications
- BS or higher in an appropriate technology field (Computer Science, Statistics, Applied Math, Physics, etc.)
- At least 10+ years of industry experience with a minimum of two years of proven track record of leading high performing teams (engineering and AI science).
- Hands on engineering leader who can nurture working with highly motivated and extremely talented engineers and AI scientists to work on high visibility products.
- Someone with strong belief in agile and lean thinking have a passion for velocity, engineering and operational excellence.
- Experience with Generative AI, LLM operations, AI assistant, prompt engineering, embedding and AI evaluations.
- Experience with any cloud vendors like AWS, GCP, Azure.
- Experience with AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices.
- Strong exposure to Enterprise Java platform, Spring Framework, Kubernetes based container deployments.
- Solid software development fundamentals (Data Structures, algorithms, problem solving, OO Design, and system architecture) with specialization on end to end software development using modern SaaS / public cloud deployments with a DevOps mindset.
- Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
- Expert communicator and love working with multiple stakeholders for common outcomes with high stakes at company level.
- Strong business acumen. Understands the business internal and external landscape and thinks/acts strategically for all stakeholders.
- Drives strategic technology/engine reuse, technology and architecture health, and development process improvement.
- A highly technical and result oriented leader experienced in determining goals and matching those with customer requirements and product roadmap. Adept at leading positive change, empowering people, cultivating product technology visions and innovative solutions, and fostering effective engineering teams.
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. 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:
- Bay Area California $222,000-300,500
See all 92+ Engineering at Intuit jobs
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Get Access To All JobsTips for Finding Engineering Jobs at Intuit Jobs
Align your resume to Intuit's tech stack
Intuit's Engineering roles consistently emphasize cloud infrastructure, full-stack development, and data engineering. Tailor your resume to reflect experience with these areas so it clears automated screening before a recruiter ever reviews your sponsorship situation.
Target teams with recurring Engineering headcount
Intuit's platform, identity, and payments engineering teams have shown consistent hiring volume over multiple years. Focusing your applications on these divisions increases your chances of landing on a team with an established sponsorship workflow and fewer internal approvals required.
Clarify your visa type early in the process
F-1 OPT and CPT candidates often get screened out when recruiters assume sponsorship means an immediate H-1B filing. Stating clearly that you already have work authorization through OPT removes that friction and moves you faster through early interview rounds.
Time your offer around the H-1B cap cycle
If you'll need H-1B sponsorship, USCIS opens registration in March for an October 1 start. Securing an Intuit offer between January and February gives your employer maximum time to prepare the petition before the registration window closes.
Browse verified Engineering sponsorship openings on Migrate Mate
Searching for roles without knowing a company's actual sponsorship history wastes significant time. Use Migrate Mate to filter Engineering jobs at Intuit by visa type so you apply only to positions where sponsorship has been confirmed through government disclosure data.
Understand how PERM affects your long-term timeline
Intuit supports EB-2 and EB-3 green card pathways for Engineering staff, but PERM labor certification adds 12 to 18 months before USCIS can adjudicate your immigrant petition. Factor this into your planning if you're transitioning off OPT and need status continuity.
Engineering at Intuit jobs are hiring across the US. Find yours.
Find Engineering at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Engineers?
Yes, Intuit sponsors H-1B visas for Engineering roles. The company files petitions for qualifying positions across software engineering, infrastructure, and data disciplines. If you're already on OPT, your employer will typically transition you to H-1B status before your authorization expires, subject to the annual USCIS cap lottery in March.
How do I apply for Engineering jobs at Intuit?
Applications go through Intuit's careers portal. For visa-sponsored roles specifically, Migrate Mate filters Engineering openings at Intuit by visa type, so you can identify positions where sponsorship has been documented through DOL and USCIS filings before you invest time in the application process.
Which visa types does Intuit commonly sponsor for Engineering roles?
Intuit sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and J-1 visas for Engineering positions, and also supports EB-2 and EB-3 Green Card pathways. Australian citizens on the E-3 and Canadian or Mexican nationals on TN visas are often preferred for roles requiring fast starts, since those categories have no lottery and no annual cap.
What qualifications does Intuit expect for sponsored Engineering roles?
Most Engineering roles at Intuit require a bachelor's degree in computer science, software engineering, or a closely related technical field. Many mid-level and senior positions also expect demonstrated experience with cloud platforms, distributed systems, or data pipelines. The specialty occupation standard under H-1B requires that the role specifically requires a degree in a relevant field, so a strong technical degree match matters.
How long does the sponsorship and filing process take at Intuit?
For H-1B, USCIS registration opens in March and approved petitions take effect October 1, so you're looking at a roughly six-month gap from registration to start date. E-3 and TN petitions can move significantly faster, often within weeks. Green Card sponsorship through PERM typically adds 12 to 18 months for labor certification before USCIS can process your immigrant petition.
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