Senior Product Designer jobs at Intuit in India, Bengaluru

In this role, you'll drive end-to-end design strategy across multiple workstreams, using your expertise in design systems, customer insights, and data fluency to craft intuitive, scalable product experiences. You’ll collaborate cross-functionally with engineering, product, data science, and research to solve complex problems and ensure business impact. As a senior design leader, you'll also mentor others, help shape team goals, and contribute to product vision and planning.

• Lead design strategy for AI-powered inventory management experiences that scale across QuickBooks Online, helping small businesses thrive with enterprise-grade capabilities.
• Collaborate closely with product, engineering, data science, and research to define goals, make informed decisions, and deliver measurable business outcomes.
• Solve complex, ambiguous problems using a platform and systems-thinking mindset, balancing user needs, technical feasibility, and business impact.
• Create and refine design frameworks, patterns, and scalable UI solutions in alignment with Intuit Design System (IDS) standards.
• Use customer and market insights, behavioral data, and testing to shape product direction and drive innovation.
• Communicate design decisions with clarity and influence—effectively aligning teams around a compelling product vision.
• Mentor and uplevel other designers, fostering growth in craft and cross-functional collaboration.
• Contribute to design operations by identifying opportunities to improve team workflows, tools, and systems.
• Support a culture of feedback, inclusion, and experimentation by leading critiques and championing continuous learning.

• 8+ years of product design experience with a portfolio showcasing high-impact, user-centered design across complex systems or platforms.
• Strong systems thinker with a demonstrated ability to drive consistency across multiple products or workflows.
• Deep experience integrating qualitative research, behavioral analytics, and market trends into product and design decisions.
• Effective communicator and influencer with a track record of aligning stakeholders and presenting to senior leadership.
• Proven leadership across cross-functional teams—capable of shaping vision, guiding execution, and mentoring other designers.
• Technical fluency—comfortable collaborating with engineers on feasibility, quality, and implementation of advanced features like machine learning.Growth mindset with a bias for action, continuous iteration, and a passion for leveling the playing field for small businesses.

• Design and implement scalable ETL and ELT pipelines using tools like Apache Spark, DBT, and Kafka.
• Own the development of data models that support reporting, analytics, and machine learning use cases.
• Build and maintain historical, delta, and snapshot tables optimized for large-scale data processing and access patterns.
• Work with columnar storage formats (e.g., Parquet, ORC) to optimize performance and storage efficiency.

• Integrate and automate data validation and quality checks, ensuring trust and accuracy across pipelines.
• Partner with data platform and product teams to design and deliver seamless data integrations across systems and domains.
• Contribute to data governance practices, schema evolution, and performance tuning.

• 6+ years of hands-on experience in data engineering or data platform development.
• Strong experience in building and optimizing data pipelines using Spark and Flink.
• Proficiency with DBT for transformation workflows and Kafka for event-driven ingestion.
• Solid understanding of data modeling principles and best practices in relational and analytical systems.
• Proven track record in creating and maintaining historical, delta, and snapshot data structures.
• Familiarity with data quality frameworks and tools for validation and anomaly detection.
• Experience working with columnar file formats and scalable data storage systems.
• Strong coding skills in Python or Scala, and familiarity with SQL at scale.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• Perform hands-on data analysis and modeling with huge data sets.
• Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
• Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL.
• Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

• MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
• 2+ years of experience with data science for PhD and 5+ years for Masters.
• Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
• Efficient in SQL, Hive, or SparkSQL, etc.
• Comfortable in Linux environment
• Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

Preferred Additional Experience

• Apache Spark
• The Hadoop ecosystem
• Java
• HP Vertica
• TensorFlow, reinforcement learning
• Ensemble Methods, Deep Learning, and other topics in the Machine Learning community
• Familiarity with GenAI and other LLM and DL methods

• Create Front End magic with a deep understanding of customer needs and ability to quickly translate insights into mockups, wireframes, and working proof-of-concept code
• Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests
• Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD
• Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems
• Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed
• Propose AI solutions that can be applied to a variety of problems

• BS/MS in Computer Science or related area or equivalent experience
• 5+ years professional experience developing web, software, or mobile applications with a focus on JavaScript, Typescript, React, HTML, and CSS
• Proficiency with the Software design/architecture process and familiarity with the entire Software Development Life Cycle (SDLC)
• Experience with web services, including experience with REST or SOAP
• Strong communication skills with a demonstrated ability to explain complex technical issues to both technical and non-technical audiences
• Experience with unit testing and Test Driven Development (TDD)
• Experience developing, maintaining, and innovating large scale, consumer facing web applications
• Solid understanding of the frontend platform and architecture to make technical decisions on security, performance, design, and visual adherence

• Possess basic understanding of AI concepts and foundations
• Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance
• Familiarity with data and metrics required for building and evaluating AI models
• Conversant with AI Native principles and able to apply them to software development
• Strong problem-solving skills and ability to think creatively about AI solutions
• Ability to communicate effectively with cross-functional teams, including AI experts and stakeholders
• Ability to keep up-to-date with the latest trends and advances in AI technology and incorporate them into software development practices

In this role, you’ll be embedded inside a vibrant team of AI scientists and ML Engineers. You’ll be expected to help conceive, code, and deploy AI models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and model validations.

Responsibilities:

• Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
• Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
• Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
• In this role, you’ll be embedded inside a vibrant team of AI scientists and ML Engineers. You’ll be expected to help conceive, code, and deploy AI models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and model validations.

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
• Understand machine learning principles (training, validation, etc.)
• Knowledge of data query and data processing tools (i.e. SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
• Mathematics fundamentals: linear algebra, calculus, probability
• Interest in reading academic papers and trying to implement state-of-the-art experimental systems
• Experience using deep learning architectures
• Experience deploying highly scalable software supporting millions or more users
• Experience with GPU acceleration (i.e. CUDA and cuDNN)
• Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
• Minimum experience of at least 5 years on relevant technologies

You will be part of the Digital Help team that delivers the best-in-class AI powered Digital Assistant and Voice experience to our customers.

• Gathering functional requirements, developing technical specifications, and project & test planning
• Designing/developing web applications, prototypes, or proofs of concepts (POC’s) with high velocity
• Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems.
• Roughly 70-85% hands-on coding
• Resolve defects/bugs during testing, pre-production, production, and post-release patches.
• Work cross-functionally with various Intuit teams: product management, QA/QE, various product lines, or business units to drive forward results.
• Contribute to the design and architecture of the project.
• Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
• System and Data Integration.

• 10+ years’ experience developing web, software, or mobile applications.
• BS/MS in computer science or equivalent work experience.
• Strong experience with Java, SpringBoot, AWS, Kafka and Kubernetes.
• Strong experience with stream processing or near real-time data ingestion
• Experience with the entire Software Development Life Cycle (SDLC).
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.
• Strong understanding of the Software design/architecture process.
• Experience with unit testing & Test Driven Development (TDD).
• Knowledge of AI / ML, Generative AI.

Bonus Points:

• Some knowledge of Data Science/Machine Learning.
• Some experience in Fintech industry.

Preferred Experience:

• Experience developing, maintaining, and innovating large scale, consumer facing web or mobile applications.
• Experience with social, mobile, cloud/SaaS, big data, or analytics.
• Familiar with the development challenges inherent with highly scalable and available web applications.
• Always Be Learning: Experience with open-source technologies and cutting-edge technologies.
• Experience with various, modern web frameworks.

• Contribute to early quality activities, including peer reviews of estimates and designs,
• Designing/developing web-based applications and backend services.
• Roughly 75-85% of hands-on coding
• Understanding functional requirements, developing technical specifications, and project & test planning
• Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
• Work cross-functionally with various Intuit teams: Product Management, Experience Design, various product lines, or business units to drive forward results
• Resolve defects/bugs during testing, pre-production, production, and postrelease patches.
• Contribute to the design and architecture of the project.

• BS/MS in computer science or equivalent work experience
• 5+ years working as a software engineer, ideally using Agile/Scrum
• Solid grasp of software engineering fundamentals and their practical application
• Strong experience with Java/J2EE, Spring Boot & Reactive Framework and Web technologies. Python is a plus to have.
• An understanding of the Software Development Life Cycle (SDLC)
• Strong working knowledge of API development standards like REST/GraphQL, pagination, throttling, caching and routing mechanisms experience are strongly preferred.
• Experience with Splunk, Wavefront, and creating Dashboards and Visualisations
• Experience working with AWS cloud.
• Kubernetes/Container platforms based development.
• Expertise with unit testing & Test Driven Development (TDD).
• "Self-starter" attitude and ability to make decisions independently.
• Helpful, can-do attitude and a willingness to take ownership of problems.
• Experience with Postgres, Data Lake, Kafka, & schema modelling will be a plus.