Overview

Instacart’s Agentic Commerce team builds conversational and generative AI products that deliver hyper personalized shopping experiences at massive scale. Our portfolio includes Cart Assistant—Instacart’s AI shopping agent helping people plan what to eat and shop for groceries—as well as integrations with leading consumer agents such as Claude, ChatGPT, and Gemini. These products serve millions of consumers and hundreds of retail partners, helping retailers differentiate and win in the AI era.

As the Director of Product for Agentic Commerce, you will lead a team of product managers and partner closely with Engineering, ML, Design & Research, GTM, and Business Development to set the multi-year vision for agentic commerce at Instacart. You will define and deliver novel, safe, and delightful consumer-facing AI experiences, drive measurable outcomes for retailers, and shape how Instacart redefines grocery commerce with AI. You’ll thrive here if you’re energized by 0-to-1 product building, complexity at scale, and a highly collaborative culture where we roll up our sleeves, communicate effectively, and solve creatively together.

About the Job

You will own the end-to-end product strategy and execution for our agentic commerce portfolio, leading a small but mighty PM team and a cross-functional group of approximately 25 builders across the company.

• Own the multi-year product vision, strategy, and roadmap for Agentic Commerce across Cart Assistant and third-party agent integrations; define clear success metrics and deliver measurable impact on conversion, AOV, retention, and customer satisfaction.
• Lead, develop, and grow a high-performing team of product managers; establish product operating rhythms, hiring plans, and career development frameworks that cultivate a healthy, high-trust team.
• Partner with Engineering, ML, and Design to ship high-quality AI features end to end, including experimentation frameworks, safety/guardrails, model selection and evaluation, latency/reliability, and privacy-by-design.
• Collaborate with Retail, Partnerships/BD, and GTM teams to commercialize agentic solutions, drive adoption with retailers, and shape co-development opportunities with industry-leading partners.
• Drive cross-organizational alignment with senior leaders; translate complex, technical concepts into clear narratives; make principled tradeoffs to prioritize the highest-leverage work in a fast-changing environment.
• Champion responsible AI practices, ensuring experiences are transparent, trustworthy, and inclusive while meeting regulatory and brand standards.

About You

Minimum Qualifications

• 10+ years of product management experience, including 3+ years managing and developing product managers.
• Proven track record building successful consumer products at scale with deep expertise in e-commerce.
• Strong technical fluency with ML- and AI-driven products, including collaborating closely with engineering and ML partners on model- and platform-level decisions.
• Demonstrated success leading multi-quarter 0-to-1 initiatives and launching net-new products in complex enterprise, B2B2C, and/or marketplace environments.
• Excellent written and verbal communication skills; adept at simplifying complex topics for senior leaders and driving alignment across organizations.
• Evidence of hiring, developing, and retaining high-performing PMs; building inclusive, high-trust teams and product cultures.
• Experience defining and moving business outcomes using clear metrics; comfortable with experimentation and data analysis (partnering with Analytics/using SQL or comparable tools).
• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business, Data Science) or equivalent practical experience.

Preferred Qualifications

• Hands-on experience building generative AI and/or conversational commerce products.
• Background in food or grocery technology and familiarity with retailer e-commerce ecosystems.
• Marketplace experience, particularly balancing the needs of consumers, shoppers, retailers, and brands.
• Experience building for both enterprise retail customers and end consumers (B2B2C), including co-developing and commercializing solutions with partners.
• Knowledge of LLM evaluation, prompt design, safety/guardrails, and responsible AI practices.

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