Join the QuickBooks Digital Experiences team as a Staff Design Technologist to shape the customer-facing AI conversational experiences. As part of our mission to help small and medium business owners get the best from their Intuit products, we are transforming into an AI-powered intelligent platform. Anticipating customer needs and delivering help at the right moment is our priority. As a Staff Conversation Designer, you will play a pivotal role in designing, training and evaluating conversational AI agents for our customers.
We are seeking a high-technical, customer-obsessed individual with experience building chatbots and voice assistants, with skills in building simple AI tools and agents, establishing human-in-the-loop AI evaluations and creation of golden datasets to train and benchmark conversational models. This role will give you the opportunity to collaborate with cross-functional teams of data scientists, engineers, product managers, and UX designers.
At Intuit, we're intentionally building AI into how we design, prototype, and ship — and we're committed to equipping our teams to work at the forefront of it. We look for designers who are excited to bring AI into their workflow — using it to move faster, explore further, and save their energy for the decisions that only human judgment and creativity can make. We're looking for designers who are curious, eager to experiment, and excited to continually evolve how they work.
Responsibilities
Identify and prioritize opportunities to improve customer experiences and drive business goals in conversational products like chatbots and voice assistants
Develop end-to-end conversation principles, design strategy, playbooks etc and get alignment from stakeholders like engineering and data science
Build AI skills (Claude Code or similar) for generating golden datasets for AI evaluations
Perform offline and online AI answer evaluations at scale with LLM-as-a-judge models and human-in-the-loop
Drive multiple projects with adherence to deadlines, quality and business metrics
Design experiences that make AI-powered features intuitive, transparent, and trustworthy for a diverse range of users
8 years of design experience, with at least 4 years of conversation design experience and 1year working on AI agentic platforms
Expertise in building simple AI tools (Claude code or similar) to efficiently deliver artefacts like golden datasets, analyse trends in user responses etc
Well-versed in data analysis and synthesizing large amounts of qualitative information (Voice of customer etc) with AI to arrive at insights and recommendations.
Knowledge of language modeling and machine learning frameworks (NLUs, RAG, Claude Code)
Working understanding of code (html, python, xml, regex) in order to create dynamic dialog-flows using Boolean logic and decision frameworks
Exceptional communication skills, both written and verbal
Strong leadership skills, with a proven track record of managing stakeholders, mentoring team members and developing talent
Experience in conducting user research and usability testing, experiment design and data analysis
Demonstrated ability to integrate AI tools into your design workflow to improve quality, speed, or exploration
Undergraduate degree required; certifications in Interaction Design, HCI, Psychology, Computer Science, Prompt engineering or related field preferred
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
Mountain View $188,500 - $255,000
San Diego, CA $173,000- $234,000
Job description provided by Intuit.
View the original posting
