The opportunity
Instacart is the North American leader in online grocery, and we’re building the operating system for the grocery industry so people can access the food they love and more time to enjoy it together.
What you'll do
Lead, mentor, and grow a team of engineers who build the platform, pipelines,: and interfaces that power catalog enrichment and ML access to catalog data.
Define and execute the technical roadmap, balancing new platform investments: with reliability, observability, and developer experience for a growing user base.
Build and operate an AI-native enrichment platform that blends LLMs,: classical ML, rules, workflow orchestration, and human review into pipelines non-engineers can configure and run.
Drive the evolution toward autonomous pipeline construction, where users: express goals in plain language and the system assembles, evaluates, and optimizes workflows.
Own the ML-facing catalog data layer, including canonical product metadata: and the policy controls that separate internal model inputs from customer-facing use cases.
Partner with ML, search, ads, commerce, and retailer teams to streamline data: flows end to end and remove integration friction.
What they're looking for
- Experience with catalog, commerce, or product data platforms operating at large scale.
- Hands-on experience with workflow orchestration systems (e.g., Temporal,: Airflow, Flink) and running them in production.
- Experience shipping applied AI/ML features in production and understanding: trade-offs across LLMs, classical ML, deterministic rules, and human review.
- Proven success partnering across ML, product, and operations to deliver: outcomes that require alignment and shared goals.
- Familiarity with data governance, rights management, and licensing controls in multi-stakeholder environments.
- Experience building pipeline builders, low-code/no-code tooling, or internal platforms used by non-engineers.
- Background in developer productivity tooling, including AI-assisted testing and investigation workflows.
- Success operating in fast-growing environments where both the platform and team are evolving.
