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Instacart

Senior

Own the full field-deployed AI engagement lifecycle for enterprise retail/CPG partners

Instacart's Enterprise AI Pod needs an AI Engagement Manager to be the operational backbone of complex, multi-stakeholder AI deployments with B2B retail and CPG partners — owning the relationship from discovery through workflow adoption, running the R&D feedback loop, and tracking engagement cost economics, in a field-first role with travel up to 50%. The JD requires 8+ years in technical/enterprise program management and explicit comfort building structure in an undefined, still-being-written playbook environment.

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What this interview tests

  • Owning multi-stakeholder AI engagements end-to-end (discovery to adoption)
  • Technical fluency to converse credibly with partner engineering teams on AI/ML integration
  • Building engagement cost models and cost/benefit-driven prioritization
  • Creating reusable delivery playbooks in an undefined process environment
  • Running the field-to-R&D feedback and escalation loop
  • Change management for turning deployment into lasting workflow adoption

Common question themes

Describe a complex multi-stakeholder technical engagement you owned from discovery to adoption

How do you shape a partner's ambiguous requirements into a concrete execution plan

Tell me about surfacing a risk early and getting stakeholders ahead of it

How would you evaluate whether an AI/ML integration is technically on track without being the engineer

Describe building or using a cost model to inform a go/no-go decision

How have you turned lessons from one engagement into a repeatable playbook

Tell me about escalating a broken feedback loop between field and product/R&D

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