About the company
Instacart is transforming the grocery industry, delivering an essential service that customers rely on for groceries and household goods. Instacart is a Flex First team, giving employees the flexibility to choose where they do their best work.
Responsibilities
- Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart's retail partners
- Build, mentor, and inspire high-performing engineering and science teams
- Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products
- Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value
- Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly
- Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders
Requirements
- Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments
- Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery
- Experience partnering with product, business, customer-facing, and technical stakeholders
- Strong understanding of machine learning development practices, software engineering principles, data systems, and operational considerations required to scale AI applications
- Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment
- Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence
- Experience delivering applied machine learning products at significant scale
- Experience working directly with retailers, commerce platforms, or other enterprise customers
Conditions
- Remote role in the United States
- Eligible for a new hire equity grant as well as annual refresh grants
- Highly market-competitive compensation and benefits