Jobs at Babylist

Build and maintain large-scale marketplace systems across revenue, product, and platform teams. Lead architecture and process improvements, deploy and monitor production services, mentor engineers, and drive adoption of AI-first development practices to increase velocity and code quality.

Own the technical product lifecycle for Merchandising and Owned Brands: evaluate/build a PIM, replace manual Google Sheets workflows, design systems integrations and APIs, embed with stakeholders to find greenfield automation opportunities, define metrics, partner with engineering and data, and apply AI to accelerate discovery and delivery.

Lead end-to-end ownership of a major consumer product surface, set one-year strategy and quality standards, use AI-native tools to prototype and ship, mentor PMs, define KPIs, and drive measurable business impact while raising the team's AI-product craft.

Own end-to-end product experiences across web and native mobile: set design vision, run user research, rapidly prototype (AI-enabled), write production frontend code, evolve design systems, mentor designers, and drive measurable product outcomes.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.

Lead product for personalization and discovery across Babylist: own strategy, KPIs, and quality for recommendations and feed surfaces. Partner with ML engineering on retrieval, ranking, candidate generation, and evaluation. Drive one-year roadmap, commercial impact, AI-native prototyping, and mentor PMs while raising company-wide judgment on ML investment and implementation.

Lead end-to-end product design across web and native, run user research, build rapid AI-enabled prototypes, write production frontend code, evolve the design system, and partner with PMs, engineers, and analysts to deliver delightful, outcome-driven experiences for parents.

Design, build, and scale Snowflake ingestion pipelines and ML/LLM systems. Create agentic tooling to generate, test, and maintain pipelines. Collaborate with analysts, data scientists, and product teams to deliver reliable, high-performance data infrastructure and operationalize models for an AI-first e-commerce platform.

Lead Registry product strategy and execution, own KPIs and commercial outcomes, manage a small PM team, champion AI-native product development, ship prototypes, run hypothesis-driven experiments, and raise the quality bar across acquisition, registry build, and shop funnels.

Lead cross-team technical direction and system design for large-scale marketplace services. Drive AI-native engineering practices, own ambiguous end-to-end projects, mentor senior engineers, and collaborate with product, design, and data to deliver reliable production systems.