Senior Product Manager (Artificial Intelligence)

Role Overview

Join Instacart’s AI team as a Senior Product Manager (Artificial Intelligence). You will lead the vision, roadmap, and go-to-market strategy for new agentic AI capabilities that help retailers and CPGs reduce stock issues, theft, and waste while improving fulfillment utilization.

Key Missions

• Define the vision, strategy, and roadmap for agentic AI solutions (e.g., reducing stockouts, shrink, and waste; improving fulfillment usage).
• Work backwards from customer results to write clear problem statements, PRDs, and success metrics.
• Drive prioritization and execution to deliver v0, iterate toward v1, and scale proven functionality.
• Lead customer discovery and design pilots/proof points.
• Partner with sales and marketing on launch, pricing, packaging, and enablement, and develop case studies that generate revenue.

Responsibilities

• Lead cross-functional execution with engineering, data science, design, sales, and marketing.
• Translate technical concepts for commercial audiences and commercial concepts for technical teams.
• Use data to evaluate data quality, model performance, and signal reliability.
• Build ROI and unit economics models, and present business cases to executives.

Requirements

• Experience leading cross-functional product execution to launch and scale products.
• Strong written/verbal communication and ability to bridge technical and commercial stakeholders.
• Hands-on data proficiency, including querying/analyzing large datasets (e.g., SQL or equivalent).
• Shipped at least 2 AI/ML products used by enterprise customers, with measurable financial outcomes.
• Experience building ROI/unit economics and business cases for executive audiences.
• 6+ years of product management building B2B/enterprise software, including 3+ years delivering AI/ML products from concept through GA.
• Navigate complex enterprise sales cycles (including security, IT, and legal/procurement).
• Thrives in ambiguity; turns complex workflows/data into outcome-driven products.
• Bachelor’s degree in a technical/quantitative/business field or equivalent practical experience.

Nice-to-Haves / Domain & AI Exposure

• Experience in grocery/retail/supply chain, including store operations, inventory management, and margin levers.
• Exposure to agentic AI systems, LLM-based workflows, autonomous decision pipelines, prompt engineering, and AI evaluation/guardrails.
• Background in demand forecasting/replenishment/inventory optimization and metrics (e.g., OSA, service level, shrink).
• Familiarity with retail tech stack: WMS, POS, ERP/replenishment modules, EDI, and API integrations.
• Experience displacing incumbents / winning competitive takeouts in enterprise accounts.
• Early-career experience in management consulting, solutions architecture, or business analytics; comfortable running diagnostics with financial outcomes.