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Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis

Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities.

Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention.

Identify and act on post-sales growth opportunities within your merchant portfolio, partnering with Account Management to grow GPV and feature adoption to deliver measurable commercial outcomes

Identify and act on post-sales growth opportunities within your merchant portfolio, partnering with Account Management to grow GPV and feature adoption to deliver measurable commercial outcomes

Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.

Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

Design integrations across enterprise business systems, including Salesforce, Oracle Cloud, Snowflake, Looker, and external partner systems using MuleSoft or other Integration iPaaS platform

Own the outbound engine: Define and drive the strategy, execution, and continuous improvement of outbound pipeline generation.

Own the outbound engine: Define and drive the strategy, execution, and continuous improvement of outbound pipeline generation.

Own the outbound engine: Define and drive the strategy, execution, and continuous improvement of outbound pipeline generation.

Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.

Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.

Own end-to-end solution architecture from discovery through launch, including requirements, systems design, integration strategy, and production readiness for enterprise retail partners.

Lead complete projects independently across backend services, APIs, and data pipelines, defining experimentation, development, and rollout strategies across multiple systems with minimal guidance.

Lead the design, architecture, and delivery of highly scalable services that power the shopper lifecycle, including onboarding, eligibility, work evaluation, earnings, ratings and quality, recognition, safety, and retention.

Technical leadership and roadmap

You will be part of a small, ambitious team with a large amount of ownership and surface area, contributing directly to the AI-for-Data charter at Instacart.

Design, build, and operate AI-powered services and internal applications—such as code and test assistants, knowledge search, and intelligent chat workflows—that improve developer and operator productivity at scale.

Ads Measurement & Data: Our cutting-edge data team is responsible for building scalable, reliable, and maintainable ETLs and its underlying architecture and platform.