דרושים ב-Intuit ב-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

The Staff Strategic Sourcing Manager will be an integral part of Intuit’s Technology Sourcing Team and will be responsible for driving complex sourcing projects and value chain optimization opportunities across software, hardware and other technology-related categories including data, AI, SaaS, telecommunications, and emerging technologies. This strategic role will bring together multiple teams across Intuit to identify opportunities to drive operational improvements, cost optimization, risk mitigation, and ensure best value from our technology partners. This role demands a strong understanding of both the technology landscape, impact on business outcomes and total cost of ownership, with a focus on driving business transformation within the IT organization. Responsibilities include developing and executing sourcing strategies, identifying and quantifying opportunities, managing RFPs and proofs of concept, conducting TCO’s, and leading challenging vendor negotiations.

• Proactively lead and manage strategic sourcing initiatives supporting our IT organization
• Develop and implement sourcing strategies supporting business transformation
• Drive end-to-end sourcing, including complex negotiations with technology partners
• Build strong relationships with internal and external stakeholders
• Maintain high ethical standards in all sourcing activities
• Stay informed on industry innovations in both software and hardware domains to drive advancements
• Evaluate and recommend strategic opportunities to leadership, considering industry trends for specific spend categories
• Conduct opportunity assessments independently or with analyst support

Southern California $136,500 - $184,500

• 5+ years of strategic sourcing experience in the technology area
• Experience with ERP and Source-to-Pay tools
• Proven ability to negotiate with internal and external stakeholders
• Experience developing and presenting business cases and sourcing strategies for optimizing technology spend
• Experience in contract development and management for both software and hardware
• Ability to manage multiple projects with tight deadlines and diverse stakeholders
• Experience negotiating with global vendors
• Strong attention to detail and analytical skills

Desired skills

• Demonstrated success in cost reduction and productivity improvements; strong influencing and relationship-building skills
• Solid understanding of software licensing and familiarity with hardware procurement contracts
• Strong analytical and financial modeling skills
• Excellent written and verbal communication skills
• Ability to work independently and collaboratively in cross-functional teams
• Awareness of vendor management best practices relevant to both software and hardware

We are looking for a strategic and organized leader with a passion for innovation and data-driven optimization. As a Staff Data Scientist, you will work alongside senior leaders from the Technology organizations to deliver insights that lead to faster decisions, increased execution velocity and predictive actions.

• Use advanced analytics techniques and predictive analytics in developing insights and analyses
• Develop data capabilities, self-service capabilities, and analytical capabilities to streamline and automate the analytical processes
• Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
• Develop statistical model/anomaly detection and investigate anomalies to monitor and help prevent the potential risk/issue in business.
• Need strong data storytelling skills, with the ability to construct impactful visualizations, communicate insights, and influence leadership.
• Lead in a proactive and results-oriented manner within an ambiguous fast-paced environment.
• Evaluate tradeoffs in design and apply a decision making framework that leverages the right solution for a given business use case
• Analyze large, complex datasets, create and maintain clean data standards to ensure accuracy of both data and for teams to leverage.
• Prioritize and manage stakeholder expectations, working to develop a joint roadmap, balancing short term critical needs with long term planning and development
• Develop analytical tools and programs to unlock data as an asset
• Effectively and proactively communicate cross-functionally and at a variety of altitudes
• Have proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), scripting languages (Python, R) and code deployment, change management and collaboration technologies and frameworks (GIT, Jenkins, CICD).

• Strategic Thinking & Business Acumen
  • Demonstrate ability to turn business strategy into business problems, iteratively self-generate hypothesis using data, validate or disprove hypothesis to create actionable insights and recommendations that inform decision making
  • Understands the business strategy and able to drive business case development independently for multiple initiatives using data and strategic thought leadership
  • Able to develop complex learning plans that account for different outcome-based scenarios and provide thought leadership on alternative paths
  • Able to define metrics at the business segment level (e.g.: TT Live, QB Live) in a Business Unit
  • Combine insights, business acumen and strategic considerations to influence cross-functional leaders (e.g.: Directors+)

• Strategy & Measurement for AI Native Experiences
  • Ideate new AI solutions by connecting industry-wide developments in AI with strategic insights, customer knowledge and domain knowledge.
  • Influence cross-functional team in creating a development plan at the business segment or functional group level in a Business Unit
  • Understands the technical architecture powering AI-native experiences (e.g.: GenOS) and the various technology capabilities (e.g. GenOrchestrator, LLMs, GenStudio).
  • Able to identify implications to data, analysis methods and customer behaviors because of these architectural constructs
  • Develops a learning plan by connecting model performance metrics with customer and business metrics.
  • Able to offer alternative strategies of testing and measuring AI-native experiences that account for safety, risk and ethical considerations

• Inference & Algorithms
  • Ability to manage E2E aspects of a complex analytics model/project build (i.e., scope, requirements gathering/finalizing, stakeholder management, communication, project management) that drives BU decision making.
  • Advanced knowledge of data preparation, analysis and modeling using Generative AI tools, data and programming tools (SQL/Python/R) , and data workflow management (authoring, scheduling and monitoring) tools
  • Advanced knowledge of designing complex web experiments (A/B/n, painted-door, bandits etc.) and measure their impact using descriptive and inferential statistical methods.
  • Drive an iterative experimentation culture by combining quantitative insights, strategic thinking and qualitative learnings that increase learning and success rate.

• Champion a true curiosity for customer behavior by networking internally and externally to understand their needs from a broader perspective. Cascade a culture where advocacy for our products and services becomes something natural and part of their day to day with direct team members.
• Work closely with other craft areas and functions to obtain quantitative and qualitative data that will impact the use of our products and services from a cross-functional perspective. Lead and influence cross-functional teams to analyze data and provide innovative solutions in complex and difficult situations.
• Identify critical parts of a problem and work cross-functionally to deliver complex and effective solutions. Utilize diverse methodologies to solve difficult problems and leverage expertise and credibility to create alliances that will ease implementation of solutions.
• Apply market research and VoC insights to strategize and resolve barriers when defining target state customer experiences and defining requirements.
• Leverage internal networks to advocate and analyze the customer and expert experience from a cross-functional perspective and deliver solutions that will have a broad impact on customer retention.
• Lead and align cross-functional teams through change, actively identifying and resolving change barriers.
• Stay connected to best practices and conduct external benchmarking to have a broader understanding of the internal and external business. Use outside-in thinking to influence cross-functional teams across Intuit, including in difficult and complex situations.
• Influence cross-functional teams while exercising considerable latitude in driving impact, delivering on objectives, and approaching problems and tasks.

• Minimum of 5 years in Customer Experience, including leading in a highly matrixed, cross-functional, and fast-moving environment, developing product/service experiences, and driving revenue and customer growth
• Organizationally savvy, with good interpersonal effectiveness, influence, and ability to get things done through both formal and informal means. Exceptional ability to collaborate, influence, mobilize and energize key stakeholders and complex cross-functional teams to implement creative, innovative, best in class solutions.
• Must have a strong presence and be a compelling communicator across all levels of the organization to win hearts and minds. Good listener and problem solver; solutions oriented and great at simplifying complex topics. Knows when to dive deep, and when to stay at a higher level. Must have a very strong pulse on the metrics driving the business.
• Strong acumen in understanding customer behavior and using design thinking and scientific methodologies to inform decision making. Clearly exhibits a systems thinking mindset, and can apply the appropriate framework at the right time, or create a new one as needed.
• Customer champion with a design mindset and demonstrated strengths in product management or experience design. Have led the creation of service experiences (from concept through production)
• Robust analytical and problem-solving skills with clear examples of using data actively for customer insights, measurement, ROI analysis and recommendations

Strategic Importance and Alignment

This role directly aligns with Intuit’s strategy to become an AI-driven expert platform, delivering personalized, end-to-end experiences. The Director of GBSG Customer Success Data Science plays a mission-critical role in advancing enterprise-wide goals, supporting strategic initiatives including:

• GBSG Growth & Retention – Driving personalized onboarding, proactive retention, and intelligent cross-sell via expert and digital support.
• AI-Powered Customer Obsession – Embedding Intuit Signal insights into the product lifecycle to inform roadmap decisions and friction reduction.
• GBSG Digital-First Support – Accelerating AI-first support with smarter targeting, guided workflows, and improved operational efficiency.
• GBSG Human + AI Powered Selling – Applying predictive and generative AI to drive lead scoring, seller enablement, and conversion acceleration.

• Lead the teams managing Customer Experience (CX), Voice of Customer (VoC) data science, survey and data infrastructure, reporting and analytics to support GBSG Customer Success across digital and assisted experiences.
• Drive hypothesis-based insights that identify and prioritize friction points and growth opportunities, influencing improvements in customer journeys, channel optimization, and reduced cost to serve.
• Deliver strategic analytics and model insights to support Smart Guidance, Next Best Action, and HelpGPT across onboarding, retention, and cross-sell journeys.
• Play a leadership role on Intuit Signal (Intuit’s AI-Powered Voice of the Customer Insights Tool) to influence product roadmaps, remove friction, and accelerate actionable insights first in GBSG, and in partnership across Intuit.
• Develop reusable frameworks and agentic performance monitoring tools that support guided workflows, expert enablement, and cost per unit-based contact reduction.
• Lead the development, validation, and operational deployment of advanced machine learning models, including classification, clustering, time series forecasting, and reinforcement learning, to power CS automation, personalization, and performance optimization
• Provide data science leadership for Human + AI Powered Selling initiatives, including funnel insights, lead scoring, and GenAI-enhanced seller tools.
• Collaborate across Product, Marketing, Sales, and Customer Success to activate growth opportunities and align on shared customer-centric KPIs such as PRS, tNPS, and CPU.
• Be the steward of measurement frameworks and drive consistent use of metrics, processes, and insights tied to business strategy.
• Lead a high-performing team of data scientists and analysts, nurturing a culture of experimentation, continuous improvement, and data-first decision-making.
• Guide and inspire adoption of CX and VoC best practices, operationalize insights, and influence enterprise-level investment decisions through strategic storytelling.

• Deep expertise in customer experience analytics, VoC methodologies, and industry tools. Ideally 12+ years working in Data Science or Data Analytics fields, and 6+ years managing data professionals and data people managers with a demonstrated success record.
• Advanced proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau; experience with predictive modeling strongly preferred.
• Extensive experience in supervised and unsupervised learning techniques including logistic regression, random forests, gradient boosting, NLP, and embedding techniques. Deep understanding of evaluation metrics, feature selection, and hyperparameter tuning.
• Demonstrated ability to leverage and develop GenAI systems (ChatGPT, NotebookLM, Anthropic Claude, etc) to make step-change impact to both business and personal work
• Ability to access, integrate, and operationalize data from diverse sources including survey, behavioral, social, digital, and support channel data.
• Proven strategic impact through insights that drive retention, revenue, ecosystem attach, and experience innovation.
• Demonstrated ability to influence senior executive stakeholders and lead cross-functional enterprise partnerships.
• Experience in developing and scaling measurement frameworks tied to organizational Input Goals, leading indicators, and Outcome Metrics indicators for customer outcomes and business performance.
• Strong experimentation background with the ability to lead hypothesis testing to deliver value across customer and expert populations.
• Proven track record of developing high-performing teams and advancing analytics maturity in complex organizations.
• Passion for customer success, combined with extreme ownership, operational rigor, and adaptability in dynamic environments.
• Familiarity and experience in the customer success, tax, accounting, sales, or voice of customer domains is a strong plus.

Access to data is critical to delivering and scaling personalization for marketing campaigns. Data Catalysts will use their robust technical and data skills, knowledge of Intuit’s products and data producers, business and analytical acumen to deliver attribute clarity and availability, improved campaign delivery and reduced dependency on product managers and product developers. Responsibilities include:

• Lead translation of marketing use cases to technical data requirements to enable data ingestion process (domain source → marketing systems/platforms)
• Identify data sources with entity stewards for consumption, accuracy and cleanliness. Includes creating SQL data queries based on requirements to enable shovel ready onboarding
• Ensure clarity on data derivation based off source and use cases coordinating across engineering teams to ensure SLA’s and requirements are met
• Manage data onboarding ingestion process and self-serve data ingestion across multiple pipelines and engineering teams to enable audience creation for personalization campaigns
• Own data validation including monitoring data pipelines, data freshness and consistency for marketing campaigns and targeting
• Improve Operational Excellence by establishing runbooks and documentation sharing best practices with partners to multiply data literacy

• 5-7 years professional experience working with marketing data, onboarding/transformation data, managing movement of marketing data, marketing analytics (technical data analytics experience a plus)
• Must have experience in SQL working with JSON files and data
• Additional expertise in marketing technologies such as: Adobe suite (big plus), customer data platforms, CRM automation platforms, data management platforms, advertising media (eg Google and Facebook)
• Preferred JIRA management
• Excellent communicator capable of conveying complex information in a clear and concise matter, raising risks to senior management and broader org
• High caliber of operations to create world-class velocity solving problems and customer issues as they arise managing processes and solutions
• Bachelor’s degree in Marketing, Data Science, Data Analytics, Computer Science, or related field; Master’s degree preferred

• Customer Champion
• Strategic Outreach : Collaborate with the analytics team to identify and target high-value prospects for the Lighthouse program. Develop and execute compelling outreach campaigns across various channels (email, phone, etc.) to engage potential customers.
• Relationship Deepening : Develop and implement a comprehensive customer engagement model specifically for the Lighthouse program, focused on building long-term relationships and fostering customer loyalty. Continuously engage with customers, demonstrating value, gathering feedback, and identifying opportunities for deeper integration and growth.
• Success Story Development : Identify and cultivate high-impact customer success stories within the Lighthouse program to showcase the positive impact of Intuit products. Collaborate with marketing to develop compelling narratives and prepare customers for participation in case studies, testimonials, and Intuit events.
• Feedback Champion : Establish a systematic process for gathering and analyzing customer feedback specifically from Lighthouse participants. Proactively share insights with internal teams to inform product development, refine the Lighthouse program, and advocate for customer needs.
• Action-Oriented & Organized : Track all touchpoints meticulously, ensuring accurate records of interactions, needs identified, and next steps. Stay on top of follow-ups, ensuring no opportunity slips through the cracks.

• Customer-Centric Mindset : A genuine passion for understanding and advocating for customer needs. Proven ability to build strong relationships and establish trust.
• Experience : 5+ years of experience in a senior level customer-facing role, ideally within a sales, business development, or customer success capacity.
• Communication Prowess : Exceptional written and verbal communication skills. You're able to clearly articulate value propositions, craft compelling emails, and build rapport through phone conversations.
• Analytical Mindset : Comfortable interpreting data to inform your outreach strategies and track progress against goals.
• Self-Starter : You're proactive, resourceful, and take initiative. You're able to manage your time efficiently and thrive in a fast-paced environment.
• Passion for People : You genuinely enjoy connecting with others, understanding their needs, and fostering relationships.
• Bonus Points:
  • Experience with CRM systems (e.g., Salesforce, HubSpot)
  • Familiarity with marketing automation tools
  • Knowledge of Intuit suite of products and ecosystem
  • Familiarity with solution consulting