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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.

Lead and own a broad domain end-to-end: set multi-team architecture and roadmap, build platform and tooling, ship production systems, define AI standards and evals, partner with product/design/data, coach senior engineers, and solve high-impact technical and product problems.

Own end-to-end engineering problems across Babylist's Rails monolith and AI-enabled systems. Design, ship, and iterate on features and abstractions, run experiments, harden critical paths, review risky changes, and share AI learnings. Work across backend, frontend, mobile, data and ML infrastructure to improve customer outcomes and platform reliability.

The Senior Director, Talent & Rewards Strategy at Babylist oversees Talent Acquisition and Total Rewards, aligning hiring, compensation, and retention strategies to scale the business and attract top talent. Responsibilities include leading teams, managing compensation strategies, and designing benefit programs.

Lead and scale a Revenue Operations organization for Babylist Media, building systems, processes, and a team to manage ad operations, inventory, pricing, forecasting, commission planning, and revenue recognition. Own ad-server transition (Koddi), deal desk, forecasting, reporting, and cross-functional documentation to maximize yield and streamline GTM operations.

Own and evolve Babylist's AWS infrastructure and developer platform using Terraform and Kubernetes. Improve CI/CD reliability, support engineers across environments, define monitoring and alerting standards, lead incident response and postmortems, and shape platform architecture to scale for millions of users.

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.