AI Field Consultant

Overview

The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team — purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As an AI Field Consultant, you bring the deep vertical expertise in grocery retail and CPG that makes the pod credible in the field — earning trust at every level of a partner organization, from analyst to executive, and translating what you hear into AI use cases R&D can build and partners will actually adopt. This is a small, senior, cross-functional pod operating at the intersection of discovery, co-creation, and change management — early, defining the playbook as we go, and looking for people who are energized by that.

About the Job 

• Be the domain credibility of the pod. You know grocery retail and CPG — merchandising, supply chain, store ops, trade, e-commerce — well enough to walk into any room at any level and earn it immediately. As the pod scales, you'll deepen into a vertical and become Instacart's sharpest expert in that space.
• Get to the real problem. Embed with partner teams to identify where agentic AI will actually move the business — not just what's technically possible, but what will change how operators work day to day. Translate those problems into AI-solvable use cases the pod can build against.
• Lead discovery and requirements. Run structured workshops at partner sites, surface and prioritize the use case map, and turn field learnings into clear inputs for the pod and R&D. You're the bridge between what partners need and what gets built.
• Show, don't just tell. Lead hands-on demos and platform walkthroughs tailored to the partner's specific workflows — making abstract AI capability concrete and compelling in the room. The ability to demonstrate the art of the possible is as important as the ability to articulate it.
• Own adoption. Drive the change management that makes deployments stick — new operating cadences, workflow redesigns, user training. Success is measured by whether team behavior changes, not whether software ships.
• This is a field-first role. Travel is a core part of the job — expect to be on-site at partner locations regularly, potentially 50%+ of the time. If you do your best work embedded with a team rather than behind a desk, you'll thrive here.

About You

Minimum Qualifications

• 10+ years of layered experience — vertical industry expertise inside grocery retail or CPG, B2B consulting experience translating domain knowledge into business solutions, and ideally time at a technology or AI company where you've seen how platforms are built and sold.
• Deep domain fluency across at least one grocery vertical — merchandising, supply chain, store ops, ecommerce, trade marketing, or CPG — sufficient to earn the trust of a category manager, VP of supply chain, or CPG trade lead from the first conversation.
• Demonstrated ability to run consultative discovery with senior enterprise stakeholders and translate findings into clear, structured requirements.
• Experience leading organizational change management — training, workflow redesign, and embedding new operating cadences with business teams.
• Exceptional communication and executive presence — comfortable presenting to C-suite and operational audiences alike, with comfort operating in ambiguous, greenfield environments.
• Proficiency in BI and analytics tools (Tableau, Looker, Power BI) and workshop facilitation tools (Miro, Lucidspark) — you need to know what you're displacing or augmenting and how to map what replaces it.
• Bachelor's degree in Business, Engineering, Operations, or related field, or equivalent practical experience.
• Willingness to travel ~50% within North America.

 

Preferred Qualifications

• Familiarity with AI and ML concepts — including LLMs and agentic systems — sufficient to connect platform capabilities with partner workflow needs. Partners will reference these, and you need to be conversant enough to contextualize where Instacart's platform fits.
• Exposure to agentic AI systems, RAG pipelines, or LLM-based product development.
• Experience working within systems partners actually run: Snowflake (dominant in grocery/CPG analytics), ERP platforms (SAP, Oracle), TPM/TPO tools, and POS systems.
• Track record contributing to product and engineering roadmap conversations via structured voice-of-customer feedback.
• Strength using data and storytelling to influence decisions and secure investment in operational improvements.
• Prior work in a forward-deployed, embedded, or startup environment.

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