Job Overview
At Intuit, we are committed to powering prosperity around the globe with our innovative financial products, including TurboTax and QuickBooks. We serve a diverse customer base ranging from consumers to small business owners, helping them achieve their financial dreams through technology that impacts millions of lives.
We are seeking a highly skilled, innovative, and experienced Senior Staff Product Manager to lead key initiatives in QuickBooks Live to drive our vision of an AI-led “done-for-me world” for our customers. This is a unique opportunity to shape the future of human-assisted software and how it augments AI, Agentic AI and human experts and driving innovation and growth for our customers.
The ideal candidate has a proven track record of launching and scaling leading products that customers love. In this role, you will collaborate with cross-functional teams - product managers, designers, engineers, data scientists, service experts, and senior leadership - to design, launch, and optimize industry-leading AI-driven experiences and agent - expert collaboration. You will own the product vision, strategy, and execution, defining how customers and experts engage with Agentic AI and AI-powered
technology.
You will be part of a dynamic, world-class team shaping the future of AI and AI - Expert collaboration, a critical component of Intuit’s next phase of growth. If that sounds exciting, we'd love to connect!
Responsibilities
- Product Vision and Strategy: Define and communicate a bold and compelling vision for your domain.
- Customer Focus: Develop deep customer empathy through user research, customer interactions, and industry analysis. Engage with experts, accountants, and stakeholders to identify key needs, pain points and jobs-to-be-done.
- Innovation and Roadmap Execution: Translate insights into an impact-driven roadmap of innovative AI solutions. Break down complex, ambiguous problems into clear, actionable solutions.
- Cross-Functional Leadership: Build strong cross-functional partnerships and work closely with other product and capabilities teams, to align product strategies with broader business objectives.
- Execution Excellence: Lead scoping, planning, and delivery of AI-powered product initiatives in collaboration with internal teams, implement agile methodologies to deliver timely, high-quality product releases, shipping features that delight customers and result in significant and measurable business impact.
- Continuous Experimentation: Foster a culture of learning and iteration, leveraging data analytics, customer insights, and A/B testing to refine product offerings.
- Stakeholder Management: Align with stakeholders, including service partners and customer success teams, to drive adoption and ensure success.
- Thought Leadership: Stay ahead of trends in Agentic AI, AI/ML, and related technologies, sharing learnings with the team to continuously raise the bar.
Qualifications
- Experience: 7+ years in product management with a strong track record of launching and scaling products.
- Leadership: Proven ability to lead cross-functional teams and drive innovation.
- Customer-Centric Mindset: Deep understanding of customer needs, and experience translating them into vision, strategy, and product requirements.
- Strong Analytical & Problem-Solving Skills: Demonstrated ability to use structured, data-backed approach to prioritize and decision-making and build business models
- Operational Excellence: Ability to implement scalable processes, navigate high levels of ambiguity and visibility, and drive efficiency.
- Communication: Excellent verbal and written communication skills; ability to influence and inspire across all levels.
- Preferably AI-experience: (e.g., building AI-powered tools, AI-integrations, AI-agents).
- Very strong technical background: Strong understanding of technical concepts and platforms.
- development, and working closely with engineering teams to deliver scalable solutions. Bonus points if you write code for fun, and enjoy playing with AI tools and models.
- Bias for Action: High attention to detail and a results-driven mindset.
- Education: Bachelor's degree required (Computer Science, Engineering, or STEM preferred); MBA, Master's, or PhD is a plus, equivalent experience will be considered.
Read Full Description