Babylist Offices

Babylist is headquartered in Emeryville and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We're remote-first and we offer a home office stipend to set up your workspace! We value being together in person too, so we bring the team together for offsites 1-2 times a year.

Typical time on-site: Not Specified

U.S. Office Locations

HQ

Emeryville

We're located in Emeryville, California!

Austin

Austin, TX, United States

Boston

Boston, MA, United States

Los Angeles

Los Angeles, CA, United States

Recently posted jobs

16 Hours AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own the end-to-end personalization experience across Babylist’s products, defining its vision, UX strategy, quality bar, KPIs, and research direction. Partner with product, engineering, analytics, marketing, and merchandising leaders to set priorities, prototype, build, and ship high-impact experiences. Champion AI-native design workflows, mentor designers, establish craft and operating standards, and help evolve the organization’s design practices.
16 Hours AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own monthly, quarterly, and annual FP&A cycles, including forecasting, budgeting, long-term modeling, and variance analysis. Prepare consolidated income statement, balance sheet, and cash flow models, executive reporting, and board materials. Partner with business leaders on opex and headcount planning, surface risks and insights, and improve finance processes. Identify and implement AI-enabled automation across reporting, modeling, forecasting, and presentation workflows while maintaining rigorous accuracy and quality control.
6 Days AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Own the strategy, architecture, development, deployment, monitoring, and continuous improvement of production personalization and recommendation systems. Build custom embeddings, ranking models, and shared representations across feeds, search, and recommendations. Lead ambiguous problems from concept to measurable customer impact, establish AI evaluation standards, partner with product and data teams, make cross-team technical decisions, and coach senior engineers.