Director of Product, Agentic Commerce

Instacart Instacart · Consumer · United States · Remote · Leadership (Product)

Director of Product for Instacart's Agentic Commerce team, responsible for the product strategy and execution of conversational and generative AI products that deliver personalized shopping experiences at scale. This includes leading a product management team, partnering with cross-functional teams (Engineering, ML, Design, GTM, BD), defining the multi-year vision, and delivering novel AI experiences for consumers and retailers.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 10+ years of product management experience
  • 3+ years managing and developing product managers
  • Proven track record building successful consumer products at scale
  • deep expertise in e-commerce
  • Strong technical fluency with ML- and AI-driven products
  • collaborating closely with engineering and ML partners on model- and platform-level decisions
  • Demonstrated success leading multi-quarter 0-to-1 initiatives
  • launching net-new products in complex enterprise, B2B2C, and/or marketplace environments
  • Excellent written and verbal communication skills
  • 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
  • Bachelor’s degree in a relevant field or equivalent practical experience

Nice to have

  • 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

What the JD emphasized

  • 0-to-1 product building
  • novel, safe, and delightful consumer-facing AI experiences
  • shipping high-quality AI features end to end
  • safety/guardrails
  • model selection and evaluation
  • responsible AI practices
  • hands-on experience building generative AI and/or conversational commerce products
  • LLM evaluation, prompt design, safety/guardrails, and responsible AI practices

Other signals

  • leading a team of product managers
  • setting the multi-year vision
  • defining and delivering novel, safe, and delightful consumer-facing AI experiences
  • driving measurable outcomes for retailers
  • shaping how Instacart redefines grocery commerce with AI
  • 0-to-1 product building
  • complexity at scale
  • shipping high-quality AI features end to end
  • commercialize agentic solutions
  • driving adoption with retailers
  • shaping co-development opportunities
  • translating complex, technical concepts into clear narratives
  • making principled tradeoffs
  • responsible AI practices
  • building successful consumer products at scale
  • deep expertise in e-commerce
  • strong technical fluency with ML- and AI-driven products
  • collaborating closely with engineering and ML partners
  • leading multi-quarter 0-to-1 initiatives
  • launching net-new products
  • hiring, developing, and retaining high-performing PMs
  • building inclusive, high-trust teams and product cultures
  • defining and moving business outcomes using clear metrics
  • comfortable with experimentation and data analysis
  • hands-on experience building generative AI and/or conversational commerce products
  • knowledge of LLM evaluation, prompt design, safety/guardrails, and responsible AI practices