Instacart is transforming the grocery industry by offering innovative solutions for grocery delivery. As the Senior Product Manager for In-Store Integrations, you will architect data foundations and lead integrations that enable real-time access to critical data streams, partnering closely with various teams to drive the execution of complex integrations.
Responsibilities:
- 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
Requirements:
- 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
- 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)