The opportunity
Instacart’s AI team is building B2B agentic AI products that help retailers and CPGs recover margin by tackling out-of-stock, shrink and waste, and fulfillment utilization. We aim to translate cutting-edge AI into practical, trustworthy solutions that move key financial levers for our customers.
What you'll do
Own the product vision, strategy, and roadmap for agentic AI solutions that: reduce out-of-stocks, shrink and waste, and improve fulfillment utilization for retailers and CPGs.
Work backwards from customer outcomes to write crisp problem statements,: PRDs, and success metrics; prioritize ruthlessly to deliver v0, iterate to v1, and scale proven features.
Partner with engineering and data science to scope experiments, manage: backlogs, define KPIs and evaluation frameworks, and ensure models and agents are reliable, safe, and observable.
Lead discovery with customers; design pilots and proof points; collaborate: with sales and marketing on go-to-market, pricing and packaging, enablement, and case studies that drive revenue.
Own the business case: model unit economics and ROI, set financial targets for margin recovery/efficiency, and report performance to executives and external stakeholders.
Ensure data readiness and integrity by assessing data quality, telemetry,: integrations, and feedback loops; implement human-in-the-loop and policy guardrails where appropriate.
What they're looking for
- Experience in grocery, retail, or supply chain with familiarity in store: operations, inventory management, and key margin levers.
- Exposure to agentic AI systems, LLM-based workflows, autonomous decision: pipelines, prompt engineering, and AI evaluation/guardrail practices.
- Background with demand forecasting, replenishment, or inventory optimization: products and metrics (e.g., OSA, service level, shrink).
- Familiarity with the retail tech stack, including WMS, POS, ERP/replenishment: modules, EDI, and API-based integrations.
- Experience displacing incumbents or winning competitive takeouts in enterprise accounts.
- Early-career experience in management consulting, solutions architecture, or: business analytics; comfortable running diagnostics and leading with financial outcomes.
