Staff Product Manager - AI Observability
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the A2D (AI, Analytics, and Data) Product Team as a Staff Product Manager for AI Observability at Intuit. We're seeking a highly skilled and experienced AI Observability Product Manager to join our AI Platform team, driving the future of ML/LLM Ops within Intuit's cutting-edge ML/GenAI platform. The AI Platform provides Intuit’s AI/ML practitioners across Intuit the means to achieve the highest possible impact with their work by making it easy to develop, deploy and improve the AI/ML capabilities in their products.
Responsibilities
- Champion the Vision: Spearhead the development and execution of our AI Observability roadmap, ensuring alignment with Intuit's broader GenAI and ML platform strategies.
- Build Key Capabilities: Drive the implementation of robust AI Observability features, including:
- Model Monitoring Service
- Mode Registry and Lineage
- Comprehensive Model Cards
- An LLM Leaderboard
- Create user education and onboarding programs to grow adoptions of AI development best practice across the company.
- Ensure product success from ideation, execution, to launch, ongoing support and improvements of the roadmap.
- Collect feedback and understand user needs from AI/ML practitioners and BU stakeholders, derive requirements, analyze trade-offs, and prioritize areas of investments.
- Collaborate closely with cross-functional teams—data scientists, ML engineers, and developers—to gather requirements, translate them into actionable plans, and deliver impactful solutions.
- Stay at the forefront of AI/ML trends and technologies to drive innovation, identifying opportunities to enhance our platform's capabilities and deliver exceptional user experiences.
Qualifications
- 5+ years of product management experience in AI/ML, with a focus on model development, deployment, and monitoring in a fast paced, rapidly evolving environment..
- High degree of technical understanding to be able to closely collaborate with engineers, architects, and AI/ML practitioners in both strategic and tactical discussions
- Deep understanding of ML/LLM Ops principles, and the AI development lifecycle.
- Strong technical acumen, with the ability to translate complex technical concepts into clear product requirements.
- Proven track record of working effectively with engineers, data scientists, other product managers to deliver successful AI/ML products, from ideation to launch and beyond.
- Excellent written and verbal communication skills with ability to present technical content to non-technical audiences and work with cross-functional teams to drive real business impact.
- Strong capability to influence and collaborate effectively across all levels of the organization.
Preferred:
- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google AI Platform).
- Familiarity with open-source AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face).
- Passion for building responsible and ethical AI solutions.
- Familiarity with Intuit’s product offerings
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $172,500 - $233,000, Bay Area California $177,000-239,500. This position will 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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
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