Senior Product Manager, In-Store Integrations

Overview

Instacart’s Connected Stores organization is building the operating system for brick-and-mortar grocery. The In-Store Platform team creates the APIs, data pipelines, and foundational integrations that power products like Caper carts, Foodstorm’s catering software, Carrot Tags, and the next wave of AI-driven store intelligence.

As the Senior Product Manager for In-Store Integrations, you will architect the data foundations that determine who wins the in-store technology race. You’ll 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. 

The role has a key focus on artificial intelligence, which will need to be brought to bear on otherwise-intractable problems in the brick-and-mortar space. Here, especially, data foundations are crucial: even the most capable models are utterly dependent on the data available to them. 

This is high-stakes, first-of-its-kind work. Our in-store products cannot succeed without the integrations you lead. You’ll partner closely with Engineering, Partnerships, Enterprise Solutions, Solution Architects, and external retail technology providers to ship new integration archetypes, scale repeatable playbooks, and launch Store Intelligence capabilities that will shape grocery for the next decade. The immediate team includes 11 teammates (the lion’s share are incredibly talented backend engineers) within a broader Connected Stores organization of a few hundred people, offering both autonomy and deep cross-functional support.

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.

About You

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).