Principal Product Manager - Intuit Assist (AI)

Job Overview

Intuit’s Expert Network is the driving force behind Intuit’s AI-powered human-enabled services and product support for consumers and small businesses, which enables service revenue as part of Big Bet 2: Connecting people to Experts, Our vision is to become the Expert Network of Choice for all professionals.

We are seeking a highly skilled and innovative Principal Product Manager responsible for revolutionizing and delivering our vision of an AI-led “done-for-me world” for our Experts across the entire E2E experience, including onboarding, training, workflows, and processes.

The ideal candidate will have a proven track record of delivering AI and other breakthrough technology and experiences at scale in close partnership with data scientists, designers, engineers, program managers, and senior leadership. You will have also delivered platform experiences and capabilities that support multiple teams and Business Units. You have demonstrated excellence in the core skills of PM, from deep customer empathy (the Heart), and strong analytical and data skills (the Brain), to rallying a team and an organization around the most important priorities (the Muscle). You will lead a team of skilled product managers and coach them in the craft of product management.

You will join a collaborative and dynamic team of world-class product managers and cross-functional partners who are shaping a critical component of Intuit’s next phase of growth.

If you are passionate about solving customer problems, want to learn from the best and thrive in a role where people, processes, and AI-driven technology fuel growth and innovation, then we want to hear from you!

Responsibilities

• Conceptualize, identify, and spearhead the biggest opportunities to deploy Intuit Assist and other AI capabilities at key touch points of the expert journey to accelerate the growth and efficiency of our services across Intuit products.
• Translate opportunities into a roadmap of strategies and tactics, provide clear prioritization using appropriate quantitative and qualitative measures, and drive alignment across stakeholders, including defining a small set of critical KPIs that measure the right outcomes.
• Create clear requirements that inspire cross-functional partners to conceptualize and ship awesome experiences where humans and tech work effortlessly and seamlessly side by side to delight customers.
• Hone the practice of iterating post-feature release to maximize expert adoption, including seeking the voice of the expert, never settling for good enough.
• Bring a structured approach to problem-solving, including data and pattern analysis to spot new trends. Turn insights into recommendations for experience and process improvements and efficiency gains.
• Raise the bar on yourself and your peers by continuously learning and providing training on applicable product experiences and products, keeping the team on the cutting edge of innovation.
• Keep an outside-in view of the landscape by staying up-to-date on industry trends and best practices related to integrating AI/Gen AI models into our network operations.

Qualifications

• Minimum of 8 years of experience in product management and/or implementing AI solutions.
• Track record of listening and working closely with customers & partners to identify opportunities and convert them into inspiring visions, strategies, roadmaps, and priorities.
• Demonstrated ability to use structured, data-backed approach to prioritize and make decisions
• Reputation for being passionate about inspiring teams to ship new innovations that also lead to driving big results
• Demonstrated ability to build and lead high-performing teams
• Excellent collaboration and communication skills - leading execution across teams, influencing across organizations
• Demonstrable technical depth and curiosity in SaaS software development - i.e. reading code, architecture, and design discussions with strong engagement with engineering and architecture teams. AI/ML expertise/experience a plus
• Experience with Agile development and methodologies
• Undergraduate degree required; computer science preferable; MBA is a plus; equivalent experience will be considered.