RemoteFull timeMid level$221k – $280kPosted today
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- Enterprise Foundations is the engineering team responsible for the architectural and integration work that allows Instacart’s Retailer Platform to scale across the world’s largest grocers
- Our work spans omnichannel integrations — bringing products like FoodStorm catering and Caper Carts onto unified Instacart platform rails — enterprise extensibility (sandbox environments, configuration systems, retailer-facing tooling), and the cross-cutting data isolation work that allows Instacart’s ML and Data Engineering teams to safely build per-retailer models on top of the platform
- As Instacart’s enterprise retail business expands to hundreds of partner brands and new international markets, this team’s work is foundational to how the platform matures
- We are seeking a Senior Engineering Manager to lead this team of ~12 engineers
- You’ll set the unifying technical thesis for the team — multi-tenancy, data isolation, configuration-driven release management, and per-retailer extensibility — and drive the consolidation work that replaces bespoke per-vertical services with shared platform rails
- In close partnership with Connected Stores, Pro Services, Commerce, Data Engineering, and ML, you’ll broker the architectural and prioritization trade-offs that determine how Instacart serves enterprise retailers across multiple commerce surfaces
- Lead, coach, and grow a senior-skewed team of ~12 engineers across multiple workstreams; set clear architectural and execution direction, develop talent, and foster a culture of ownership, accountability, and continuous improvement
- Set and maintain the unifying technical thesis for the team — multi-tenancy, data isolation, configuration-driven release management, and per-retailer extensibility — ensuring related workstreams converge on shared solutions rather than parallel implementations
- Drive consolidation of bespoke retailer-vertical services — catering order management, smart-cart backend logic, kiosk integrations, in-store mobile — onto unified Instacart platform rails, so each surface inherits Instacart’s ranking, search, recommendations, and fulfillment
- Partner with ML and Data Engineering on long-term enterprise data platform compliance for our ML systems, ensuring per-retailer model training has the data, signals, and isolation it needs
- Deliver self-service tooling — including sandbox environments, configuration interfaces, and retailer-facing extensibility — that lets retailers and internal teams ship without engineering bottlenecks
- Represent technical and product trade-offs across multiple engineering and product organizations whose roadmaps and integration commitments evolve in real time; broker resourcing decisions, drive clarity in ambiguous scope, and ensure engineering investment stays aligned with committed work- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
- Proven cross-functional leadership influencing outcomes across multiple engineering and product organizations, including comfort using structured escalation to unblock multi-team initiatives
- Demonstrated success operating in ambiguous, high-growth environments where partner roadmaps, product coverage, and integration commitments are still maturing — with a track record of driving clarity and forward motion through that ambiguity
- Technical proficiency in distributed systems, API/SDK design, and cloud infrastructure (e.g., AWS or GCP)
- Experience leading multi-team architectural transitions such as consolidation, replatforming, multi-tenancy, or data isolation inside an established business with real customers and revenue
- 8+ years of software engineering experience, including 3+ years managing engineering teams delivering platform or infrastructure products in a B2B or enterprise context
- Experience leading teams of 10+ engineers, including hiring, performance management, and career development of senior individual contributors
- Direct domain experience in commerce platforms, omnichannel retail, OMS, POS, catering systems, or connected-store / in-store technology
- Track record of building multi-tenant platforms serving multiple internal or external customers, with per-tenant configuration, isolation, and extensibility requirements
- Experience partnering with ML and Data Engineering teams on data platform compliance, model training infrastructure, or data isolation initiatives
- Experience leading other engineering managers and growing two-layer organizations
- Background scaling enterprise integrations and managing partner-facing technical relationships across product, engineering, and customer-facing functions
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