Senior Product Manager, In-store Integrations

Instacart Instacart · Consumer · United States · Remote · Product Management

Product Manager role focused on defining and delivering the data foundations and integrations for Instacart's In-Store Platform, which powers products like Caper carts and AI-driven store intelligence. The role requires architecting core connections for real-time data streams (transaction, inventory, loyalty, coupon) and enabling new AI products by ensuring robust data availability. It involves close collaboration with engineering, partnerships, and external retail technology providers.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. Establish clear SOWs and SLAs: draft requirements, timelines, and deliverables; negotiate partner responsibilities; manage risk, dependencies, and trade-offs across competing priorities.

Skills

Required

  • 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

Nice to have

  • 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).

What the JD emphasized

  • artificial intelligence
  • AI products
  • data foundations

Other signals

  • AI-driven store intelligence
  • define and deliver the core connections between retailers and Instacart’s product suite — integrations that unlock reliable, real-time access to transaction, inventory, loyalty, coupon, and other critical data streams at scale
  • artificial intelligence, which will need to be brought to bear on otherwise-intractable problems in the brick-and-mortar space
  • data foundations are crucial: even the most capable models are utterly dependent on the data available to them
  • Ship first-of-a-kind integrations, including those necessary to power new AI products