Fullstack-senior Software Engineer jobs at Intuit in United States, San Diego

• Drive significant technology initiatives end-to-end and across multiple layers of architecture.
• Architect and develop scalable applications or systems.
• Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems.
• Provide recommendations and best practices for application development, platform development, and developer tools.
• Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies.
• Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs.
• Work with global, cross-functional teams across time zones.
• Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
• Proactively identify opportunities to enhance software applications with AI technology
• Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
• Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Southern California $184,500 - 250,000

This position will 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

• BS/MS in Computer Science or related area or equivalent experience.
• 7+ years of total experience delivering enterprise-class applications.
• Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation.
• Experience with cross-browser, cross-platform, and design constraints on the web and mobile.
• Solid knowledge of algorithms and design patterns.
• Proficiency in mid-tier languages like Java.
• Experience with test automation: TDD, unit/integration/functional testing.
• Experience with Relational Database Design and Implementation.
• Interest in building CI/CD pipelines.
• Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
• Strong experience with Databases design (SQL, NoSQL) and analytics.
• Prior working experience in utility computing and/or cloud computing domain.
• Experience building and deploying applications and services into cloud environments.
• Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
• Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
• Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
• Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers

As a Senior Data Scientist, you will partner closely with cross-functional teams across Product, Marketing, Sales, Customer Success, Expert Network, and Finance. You will bring rigor to experimentation, clarity to ambiguous problems, and insight to business decisions—all while contributing to a data-driven culture.

• Partner Across Functions - Collaborate with cross-functional stakeholders to define problems, frame hypotheses, and translate business needs into data science projects with measurable impact.
• Analytics & Insights Generation - Analyze large, complex datasets to derive insights that guide strategy, product development, customer acquisition, and engagement initiatives.
• Experimentation & Impact Measurement - Design and evaluate A/B and multivariate tests, using modern experimentation techniques to quantify the effects of new features and marketing campaigns.
• Model Development & Data Enrichment - Build predictive models and customer segmentation frameworks that inform personalization, targeting, and optimization strategies.
• Dashboarding & Data Storytelling - Develop automated reports and visualizations to surface key metrics. Communicate complex results in a simple and compelling way to technical and non-technical audiences.
• Support Data Infrastructure - Collaborate with engineering and platform teams to define tracking requirements, improve data quality, and ensure the right data is available for analysis.
• Uphold Best Practices - Promote experimentation rigor, model validation, reproducibility, and code quality within the data science community at Intuit.

• 5–7 years of experience in analytics, data science, or quantitative roles within consumer tech, fintech, SaaS, or digital marketing.
• Strong analytical thinking and business acumen with the ability to derive actionable insights from ambiguous and complex data.
• Advanced SQL and Python skills; experience with statistical packages (e.g., pandas, scikit-learn, statsmodels) and data visualization tools such as Tableau or Looker.
• Solid foundation in A/B testing and causal inference techniques (e.g., regression, matching, lift analysis, uplift modeling).
• Familiarity with marketing funnel metrics, channel attribution, or growth experimentation preferred.
• Excellent communication skills; able to translate technical findings into business recommendations and influence decision-making.
• Experience collaborating with cross-functional teams in matrixed environments.
• Bachelor’s degree in a quantitative field required; Master’s degree or higher in Statistics, Data Science, Computer Science, Economics, or a related field preferred.

• Strategic planning: Be a trusted advisor to the TurboTax AI Powered Tax leadership team to develop and refine our long-term strategic plans, proactively highlighting risk and opportunities related to business growth and driving optimal investment decisions through data-driven insights and business modeling expertise
• Data-driven insights: Drive various analyses that deliver data-driven insights in a coherent and structured manner to promote decision making and business outcomes that accelerate our growth trajectory
• Operational excellence: Partner with Product, Data Science, and Marketing partners to develop and monitor key performance indicators to drive timely insights and decision-making to achieve our strategic and financial plans.
• Modeling: Work with partners to create financial models to analyze complex business scenarios that drive and inform our go-to-market strategy
• Process improvement: Drive efficiencies and continuous improvement by streamlining, standardizing, and automating processes and reporting

• 3-5 years of Finance experience in corporate or strategic finance, preferably in consulting or banking
• Demonstrated excellent strategic thought leadership skills, as well as strong financial and analytical skills
• Experience transforming complex data to clear takeaways and insights
• Ability to influence all levels of leadership to drive actions, behaviors, decisions, and business outcomes
• Advanced Proficiency in Microsoft Excel to analyze complex business scenarios by building/improving financial models
• Proficiency in SQL
• Highly motivated, self-starter with the ability to work independently in a fast-paced environment, simultaneously manage several priorities, and challenge the status quo to lead change and operational improvements
• Strong written and oral communication skills with experience in presenting to business partners with confidence, conviction, and credibility
• BS/BA in Finance, Accounting, Business, or Economics preferred or equivalent work experience

• Drive strategic thinking and cross-functional alignment around data-driven approaches to improve product and customer experience strategies
• Lead deep exploration of customer data and spearhead customer segmentation, LTV modeling, and other advanced analytics solutions
• Develop experimentation plans and testing frameworks to measure, optimize, and scale data-driven strategies across targeting, personalization, and product initiatives
• Apply machine learning, predictive analytics, and AI-based methods to deliver innovation and improve decision-making across the business
• Optimize and manage data pipelines, ensuring high-quality, scalable, and efficient reporting and analytics capabilities
• Partner with product, finance, and business development leaders to define strategies, investment priorities, and data-driven opportunities
• Mentor and coach data scientists and analysts, elevating craft skills, encouraging innovation, and fostering a culture of learning and excellence

• 5-7 years of experience in data science, analytics, or a related field
• Proven ability to extract insights from complex datasets and communicate compelling data-driven stories to influence decision-making
• Strong SQL skills for data extraction and manipulation
• Expertise with data visualization tools (e.g., Tableau, Qlik, Power BI).
• Advanced proficiency in A/B testing, Python or R for analytics, modeling, and automation
• Familiarity with big data and cloud tools (e.g., Snowflake, Spark, Databricks) is a plus
• Experience with machine learning and AI techniques, and statistical modeling is strongly preferred
• Ability to manage multiple projects simultaneously in a fast-paced environment
• Strong problem-solving skills and end-to-end quantitative thinking
• Demonstrated leadership through mentorship, stakeholder influence, and cross-functional collaboration
• Growth-oriented and proactive mindset, with a passion for innovation and customer impact.

In our Talent Acquisition organization your impact will be deep. You will directly support

Bay Area California $122,500 - $166,000

Southern California $120,000 - $162,500This position will 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

• Serve as an advisor to internal stakeholders to deeply understand business strategies and talent needs for today and the future
• Build a trusted advisor relationship with hiring managers, coaching them on effective and scalable solutions to evaluate talent in a high volume setting
• Develop and execute on end to end campaigns, strategies and projects that supports Intuit’s position as the employer of choice for tax professionals in North America
• Lead the offer process in collaboration with internal stakeholders; negotiate and close candidates for all assigned roles
• Create and drive best-in-class experiences that delight candidates and hiring team members
• Contribute to the operational excellence of the team through the leadership of strategic projects
• Champion diversity and inclusion through every aspect of the hiring journey
• Collaborate and partner across the broader talent acquisition team and serve as a mentor for others

• Proven success in full cycle recruitment with High Volume or Class Based roles, with experience in scaling recruitment programs
• Experience and comfort partnering & consulting at all levels of leadership
• Desire and capability to work with other Talent Partners to drive recruitment solutions across a wide variety of openings
• Experience managing or assisting to develop scalable hiring solutions across an enterprise level organization
• Possess an ability to be flexible and provide the right solution at the right time
• Success in developing inclusive pipelines
• Growth mindset and an ability to adapt to changing dynamics as needed
• Success in guiding, consulting and educating hiring managers on hiring best practices

Demand Generation Strategy: Design, implement, and optimize product marketing strategies that accelerate acquisition of new subscribers and expand adoption of complementary QuickBooks products and services.

• Subscriber Retention and Growth: Focus on driving growth within the customer base, with specific emphasis on upselling and cross-selling within the QuickBooks ecosystem (e.g., Payroll, Payments, QBLive Expert Services, etc).
• In-Product Engagement: Partner with product teams to deliver messaging, offers, and calls-to-action directly within the user experience, increasing awareness of key benefits and driving upsell and attach opportunities that include a high-touch opportunity for our high value customers.
• Data-Driven Decision Making: Leverage analytics to evaluate campaign effectiveness, track customer response rates, and inform decision-making for optimizing future activities.
• Customer Insights: Conduct customer segmentation and lifecycle analysis to develop tailored messaging and offers that resonate with each buyer persona.
• Collaborative Partnership: Work closely with cross-functional teams, including customer success, marketing, product management, and analytics, to develop creative campaigns and drive cohesive outreach strategies.
• Testing and Measurement: Design and execute A/B tests and experiments across multiple platforms, identifying what works best to drive subscriptions and product/service attachments.
• Expert Enablement: Provide tools, resources, and content that enable customer success teams to convert leads and effectively communicate the value of our offerings.
• Customer Success Knowledge: Hands-on experience working within or alongside customer success teams
• Collaborative Problem-Solving: Comfortable working across teams in a matrixed organization while driving alignment toward business objectives.
• Customer-Centric Approach: Passionate about helping customers succeed, staying empathetic to their challenges while advocating for solutions that drive measurable impact.

• Experience in SaaS Business Models: 5+ years of experience in demand generation, product marketing, or lifecycle marketing roles within a subscription-based SaaS company.
• Demand Generation Expertise: Proven track record of driving subscriber growth and increasing product/service adoption through integrated marketing campaigns.
• In-Product Marketing Proficiency: Experience partnering with product teams to design on-site and in-product engagement strategies that drive conversions and build customer interest.
• Analytical Acumen: Strong ability to interpret customer data, campaign metrics, and subscription trends to improve marketing effectiveness and drive incremental revenue.
• Customer Centricity: Deep understanding of customer needs and behavior, with a focus on delivering value that enhances their success and deepens their connection to the QuickBooks brand.
• Collaboration Skills: Proven success working in cross-functional environments and influencing stakeholders in customer success, product, and marketing teams.
• Creative and Innovative Thinking: Ability to craft innovative campaigns, test new approaches, and adapt strategies based on data insights and feedback.

Preferred Qualifications:

• Bachelor’s degree in Marketing, Business, Communications, or a related field; advanced degrees or certifications are a plus.
• Experience marketing financial management solutions or related SaaS offerings highly desirable.
• Familiarity with analytics tools such as Google Analytics, Tableau, or similar platforms for visualization and insights.
• Understanding of subscription-based revenue metrics (e.g., churn, LTV, ARR/MRR, upsell/cross-sell rates).

• Own the management of the TurboTax email program dedicated to driving transactions in product during tax season, delivering flawless execution on a complex program on one of the largest installed bases in the US, and spearheading innovation around personalization.
• Lead the effort to deliver superlative campaigns to customers, ensuring compelling story-telling, relevant content and best-in-class creative are present throughout our communications.
• Deliver on the vision to implement truly 1:1 campaigns to our various customer base through personalized messaging, offers, content and more.
• Help define channel contact strategies and plans.
• Articulate complex campaign requirements, closely partnering with CRM data and operations teams to ensure their proper implementation. Understand the technical side of email operations from how customer data attributes flow from data systems into the ESPs for campaign retrieval to ESP set up and implementation to dynamic content execution.
• Report on campaign and channel performance, partnering with Analytics as needed, and share actionable insights at different levels of the organization. Understand key campaign, channel and customer level metrics and how to take CRM data to drive performance.

• 6-10 years experience managing an elaborate email marketing program for a Fortune 500 company
• Impeccable knowledge of email marketing best practices, especially around creative and story-telling.
• Passion for creative, copy and campaign development and deep-bench experience working with creative teams.
• Keen understanding of the data undergirding CRM programs and enabling campaign orchestration and personalization.
• Superior organizational, project management and communication skills -- this role requires hands-on management of campaign deployments, often under tight deadlines and high pressure.
• Experience with Enterprise-level marketing cloud solutions and CRM tech stack.
• Strong analytical and data manipulations skills that result in meaningful insights and that drive performance.