Jobs at Babylist

Build and scale reliable data pipelines, Snowflake ingestion systems, ML pipelines, monitoring, and data infrastructure for a large e-commerce platform. Design agentic systems that automate pipeline generation, testing, and maintenance while collaborating with analysts, data scientists, analytics engineers, product teams, and ML teams. This senior individual contributor role emphasizes production AI/LLM systems, platform automation, data modeling, and cross-functional delivery.

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Own the Early Investor product end-to-end, including roadmap, growth, monetization, success metrics, experimentation, and retention features for Babylist Money. Partner closely with engineering, use data and AI to drive decisions, communicate outcomes to leadership, and accelerate a live zero-to-one consumer financial product.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

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.

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.

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 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.

Lead end-to-end UX across Babylist web and mobile: run user research, build rapid interactive prototypes, write production front-end code, evolve the design system, instrument outcomes, and champion AI-native design workflows to create intuitive, delightful experiences for families.

This posting is a referral intake: if a current Babylist employee referred you, submit your info for consideration across open and future roles. Recruiters will review referrals, contact strong matches, and keep referred profiles flagged. The posting describes desired candidate traits (self-directed, mission-oriented, clear communicator, team player, comfortable using AI) rather than a specific job.

Owner of end-to-end production problems: design, build, experiment, ship, and measure outcomes across backend, frontend, data pipelines and AI. Act as a technical leader, reviewer, incident mitigator, and cross-functional partner to product and design while advancing AI-driven tooling and safeguards.

Own and set direction for a large domain, design cross-team architecture, build production systems (often AI-enabled), partner with product/design/data, coach senior engineers, and remain hands-on in code and delivery.

Lead and own the end-to-end Registry design experience, set vision and KPIs, hire and develop a small design team, use AI-native workflows to prototype and ship cross-platform consumer products, partner with PMs/engineers/analytics, and scale design systems and processes to drive measurable business impact.

Lead full-cycle recruiting for Babylist's most complex technical roles (senior to director-level engineers, principal PMs, AI/Builder profiles). Partner with engineering and product leaders, build hiring intelligence (trackers, dashboards, funnel analysis), drive offer strategy in hard negotiations, mentor recruiters, manage agency performance, and raise recruiting standards through calibration, coaching, and data-driven recommendations.

This is a general "talent pool" posting asking candidates to share their background and interest for future corporate roles across the company. No specific duties or requirements are listed.