Engineering Manager, Enterprise Platform

Instacart

2d•$192,000 - $242,500•Remote

About The Position

The Enterprise Platform team builds the core APIs and tools that power Instacart’s Fulfillment-as-a-Service offering, enabling retailers to operate their own digital storefronts while leveraging Instacart’s technology and fulfillment network. Our platform supports roughly $4B in GTV and sits at the center of Instacart’s enterprise ecosystem. This role is based in Toronto, Canada, with flexibility for remote work across Canada. The Team’s Work Is Organized Across Two Pillars Connect Fulfillment – High‑performance fulfillment APIs that support real‑time retail experiences Enterprise Tools – Retailer‑facing tools (e.g., testing center, debugging, credential management) that simplify and streamline integrations with Instacart As an Engineering Manager, you will own the technical strategy and roadmap for Enterprise Platform APIs and Tools, drive the vision, and shape future products for retailers. You’ll lead, develop, and grow a team of 10+ software engineers while partnering closely with Product, Business Development, Professional Services, Data Science, and cross‑org engineering teams to deliver an enterprise‑grade experience at scale. This is an opportunity to lead one of Instacart’s fastest‑growing businesses (growing more than 30% annually), solve complex cross‑organizational technical challenges, and see your work directly impact retailers and customers. You’ll thrive here if you’re a hands‑on, high‑ownership leader who values transparency, collaboration, and operational excellence in a fast‑paced, constantly evolving environment.

Requirements

8+ years of professional software engineering experience, including 2+ years managing teams of 10+ software engineers.
Proven track record leading backend/platform teams that build and operate high‑scale, low‑latency APIs and distributed services.
Hands‑on experience with service‑oriented architectures, API design (REST and/or gRPC), data modeling, and schema/version management.
Proficiency in at least one modern programming language (e.g., Go, Java, or Python) and experience building services on a major cloud provider (e.g., AWS or GCP).
Experience running always‑on services: defining SLOs/SLAs, participating in on‑call rotations, leading incident response, and driving postmortem improvements.
Demonstrated ability to define and deliver a technical roadmap, align stakeholders, and ship cross‑functional projects end‑to‑end.
Experience hiring, coaching, and performance managing engineers; commitment to building an inclusive, collaborative team environment.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice To Haves

Expertise with observability and reliability tooling, plus resiliency/chaos testing.
Success driving platform adoption across multiple stakeholder teams, balancing long‑term platform investments with near‑term product needs.
Domain experience in e‑commerce, marketplaces, or enterprise platforms.
Experience improving developer velocity using AI technologies.
Advanced degree in a relevant field.

Responsibilities

Own and articulate the technical strategy and multi‑quarter roadmap for Enterprise Platform APIs, tools, and data models, aligning outcomes with enterprise objectives and retailer needs.
Lead, mentor, and grow a high‑performing team of 10+ software engineers; hire exceptional talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture.
Design and deliver high‑scale, low‑latency APIs and distributed services (REST/gRPC); define clear API contracts, versioning policies, and robust schema management.
Partner cross‑functionally with Product, Business Development, Professional Services, Data Science, and peer engineering teams to prioritize impact, land cross‑org initiatives, and drive platform adoption across stakeholders.
Oversee production services end‑to‑end; establish engineering best practices and SLOs/SLAs, guide on‑call operations, lead incident response and postmortems, and raise the bar on reliability and operational excellence.
Elevate developer velocity and product quality through great tooling, CI/CD, observability, and pragmatic use of AI to automate toil and accelerate delivery.