Role overview

Senior Product Manager, In-Store Integrations

Requirements and responsibilities

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About the Job

  • Own the integration roadmap for the Connected Stores: define strategy, scope, and prioritization for third-party integrations based on business impact, data value, and technical feasibility.
  • Drive execution end-to-end: align Engineering, Partnerships, Solution Architecture, and 3rd party teams to deliver complex integrations from discovery and design through launch and scale.
  • Lead external partner alignment: represent Instacart with retailers and software vendors (e.g., POS, loyalty, inventory, and coupon systems) to secure buy-in, define data contracts, and ensure technical fit.
  • Ship first-of-a-kind integrations, including those necessary to power new AI products: collaborate with Engineering to design and validate new integration archetypes; document patterns and transition repeatable work to Solution Architects for scale.
  • Establish clear SOWs and SLAs: draft requirements, timelines, and deliverables; negotiate partner responsibilities; manage risk, dependencies, and trade-offs across competing priorities.
  • Set and measure success: define KPIs such as time-to-integrate, data coverage and quality, reliability, and product adoption; build feedback loops that continuously improve integration velocity and stability.
  • Resolve conflicts and remove blockers: arbitrate between internal product needs and external constraints, making decisive, data-informed calls in a fast-paced, highly cross-functional environment.

Minimum Qualifications

  • 4+ years of product management experience focused on backend, platform, or API products.
  • 2+ years leading multiple third-party integrations with enterprise customers or vendors from technical discovery to go-live, against tight timelines.
  • Proven end-to-end delivery of complex, multi-stakeholder integration programs (built roadmaps, wrote specs, drove cross-functional execution, and launched to production).
  • Experience communicating technical concepts to C-suite stakeholders and going deep with engineering; demonstrated success running partner scope reviews and negotiating SOWs/SLAs.
  • Bachelor’s degree. Proficiency with APIs and data contracts. Comfortable using AI tools to accelerate PM workflows; still capable of writing PRDs without them.

Preferred Qualifications

  • Retail technology domain expertise across brick-and-mortar systems such as POS, inventory, loyalty, coupons, or store operations platforms.
  • Experience building or integrating AI/ML or computer vision capabilities, including defining data needs for model training, inference, and feedback loops.
  • Background in integration reliability and data quality (monitoring, observability, alerting, error budgets, and SLAs).
  • Experience handing off your work to other internal teams to scale (e.g. playbook writing)
  • Familiarity with privacy, security, and compliance for retail data (e.g., PCI considerations, PII handling, data retention policies).
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