Intuit is looking to drive innovation and growth for its QuickBooks Live product by creating an AI-led "done-for-me world" for its customers, augmenting AI with human experts and driving innovation in AI-powered technology and agent-expert collaboration.
Requirements
- 7+ years in product management with a strong track record of launching and scaling products.
- 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.
Responsibilities
- Define and communicate a bold and compelling vision for your domain.
- Translate insights into an impact-driven roadmap of innovative AI solutions.
- Break down complex, ambiguous problems into clear, actionable solutions.
- 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.
- Foster a culture of learning and iteration, leveraging data analytics, customer insights, and A/B testing to refine product offerings.
- Stay ahead of trends in Agentic AI, AI/ML, and related technologies, sharing learnings with the team to continuously raise the bar.
Other
- Proven ability to lead cross-functional teams and drive innovation.
- Deep understanding of customer needs, and experience translating them into vision, strategy, and product requirements.
- Demonstrated ability to use structured, data-backed approach to prioritize and decision-making and build business models
- Ability to implement scalable processes, navigate high levels of ambiguity and visibility, and drive efficiency.
- Excellent verbal and written communication skills; ability to influence and inspire across all levels.
- High attention to detail and a results-driven mindset.
- Bachelor's degree required (Computer Science, Engineering, or STEM preferred); MBA, Master's, or PhD is a plus, equivalent experience will be considered.
