Staff Product Manager, Intuit Expert Network

4 weeks ago


San Diego, United States Intuit Full time

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 Staff 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 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 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 What you'll bring 4+ years of experience in product management, which includes experience 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 cross-functional teams to ship new innovations that also lead to driving big results Excellent collaboration and communication skills - leading execution and influencing across cross-functional teams and cross-org stakeholders Demonstrable technical depth and curiosity in SaaS software development - i.e. reading architecture, and design discussions with strong engagement with engineering and architecture teams. AI/ML expertise/experience a plus. Platform product management expertise is also a plus. Experience with Agile development and methodologies Undergraduate degree required; computer science preferable; MBA is a plus; equivalent experience will be considered. How you will lead 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 sharing your learnings on AI/ML/related cutting edge technologies 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. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.



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