The Senior Manager will own the supply side of the advertising business, including ad stack configuration, inventory structure, and yield optimization. They will lead offsite media support, manage outsourced ad operations partners, and define the roadmap for transitioning to CPM-based and self-serve selling.
You will build and scale data pipelines for ingestion into Snowflake while designing agentic systems to automate data engineering tasks. You will also collaborate with cross-functional teams to develop ML pipelines and ensure the reliability of shared data assets.
You will design and scale automated data engineering systems, including agentic pipelines and ML infrastructure, to support a high-growth e-commerce business. You will also collaborate cross-functionally with data scientists and analysts to ensure the reliability and performance of shared data assets.
You will own the personalization domain, setting the technical direction for models behind homepage feeds, recommendations, and search. You will build custom embeddings, manage the full model lifecycle, and partner with cross-functional teams to drive customer impact.
You will own the personalization domain, setting the technical direction for models behind search, recommendations, and homepage feeds. You will also build foundational embeddings and ensure models are effectively deployed, monitored, and evaluated in production.
The Associate Director will own the operational and compliance foundation for payer and clinical services, ensuring smooth go-lives and ongoing operational excellence. They will lead a team to manage licensing, credentialing, audits, and payer transitions while partnering with cross-functional teams to scale the business.
The Senior Product Manager will own the end-to-end product experience for Early Investor, focusing on monetization strategy and top-of-funnel growth. They will collaborate daily with engineering to build sticky features that drive long-term engagement for postpartum families.
The Senior Product Manager will own the end-to-end product experience for Early Investor, focusing on monetization strategies and top-of-funnel growth. They will collaborate daily with engineering to build sticky features that drive long-term engagement for postpartum families.
Develop and execute a proactive PR and communications roadmap to position the company as a category-defining technology platform. Manage executive thought leadership, media relations, and agency partnerships while building internal playbooks for consistent storytelling.
Lead and develop a team of five analysts while partnering with senior leadership to drive strategy across eCommerce, supply chain, and health functions. Define KPI standards and advance the company's AI-native analytics roadmap to empower business teams with self-serve data tools.
Lead and develop a team of five analysts while partnering with senior leadership to define KPI standards and an AI-native analytics roadmap. Own actionable analysis across e-commerce, supply chain, and health functions to drive strategic business decisions.
The Finance Manager will own financial visibility and performance for the E-commerce business, managing everything from topline revenue to gross margins. They will lead forecasting, budgeting, and pricing analysis while partnering with cross-functional teams to drive strategic decision-making.
You will own the end-to-end experience layer across the Babylist ecosystem, driving user delight and functional outcomes through AI-native design and development. You will also collaborate with cross-functional partners to build, test, and iterate on products while setting the quality bar for the team.
You will own the end-to-end user experience for the AI Registry, driving product excellence across web and native mobile platforms. You will also build production-quality front-end code and leverage AI-native workflows to accelerate design and development cycles.
You will own end-to-end engineering problems, deciding what to build and ensuring successful outcomes for families. You will collaborate with product managers to frame problems, run experiments, and leverage AI to improve system efficiency and customer experience.
You will own a technical domain, setting the long-term direction and making critical architectural decisions that impact multiple teams. You will also lead the integration of AI into development workflows while mentoring senior engineers and partnering with product and design teams.
The Senior Planner will manage end-to-end merchandise planning, including Open-to-Buy, inventory flow, and vendor forecasting to meet business targets. They will collaborate with Merchandising and Supply Chain teams to optimize assortment and replenishment strategies using data-driven insights.
The VP will own the strategic vision, operating standards, and systems roadmap for merchandise planning, allocation, and inventory management. They will lead a high-performance team to optimize inventory health, distribution network expansion, and cross-functional collaboration with finance and supply chain departments.
Own the end-to-end customer journey and design vision for major Babylist experiences across web and native mobile platforms. Implement production-quality frontend code and establish AI-native design workflows to accelerate product development.
Own the end-to-end strategy and execution of personalization and discovery across Babylist's consumer experience. Partner with ML Engineering to define the technical direction for retrieval, ranking, and evaluation systems to drive business impact.
Own and evolve the AWS infrastructure, CI/CD systems, and reliability practices to support millions of users. Lead incident response and establish monitoring standards to ensure platform stability and developer velocity.
Own major consumer surfaces and customer journeys end-to-end, setting the one-year strategy and quality standards. Act as a peer-builder using AI-native workflows to create prototypes and drive product impact.
Set technical direction across multiple pods and lead the design and production of scalable systems for a high-GMV marketplace. Drive AI-native development standards and mentor senior engineers to improve overall engineering craft and velocity.
Own and evolve the AWS infrastructure, CI/CD systems, and reliability practices to support millions of users. Lead incident response and establish monitoring standards to ensure platform stability and developer velocity.
Own the end-to-end strategy and execution of personalization and discovery surfaces, including the homepage feed and product recommendations. Partner with ML Engineering to define technical direction, set quality bars, and translate business problems into ML-powered solutions.
Own the end-to-end design and frontend implementation of major customer journeys across web and native mobile platforms. Set the long-term design vision and establish AI-native workflows to improve team efficiency and product quality.
Own major consumer surfaces and customer journeys end-to-end, setting the one-year strategy and quality bar. Act as a peer-builder using AI-native workflows to create prototypes and drive business impact.
Lead the design, implementation, and deployment of scalable systems for a high-GMV marketplace across revenue, product, and platform teams. Drive the adoption of AI-first software development practices to accelerate code quality and system maintainability.
