Everlane
Everlane Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers disability insurance
Offers accidental death & dismemberment insurance
Offers company equity
Offers employee discounts
Offers dental insurance
Offers health insurance
Offers Flexible Spending Account (FSA)
Offers vision insurance
Offers generous parental leave
Company Culture
Provides commuter benefits
Provides free snacks and drinks
Office is pet friendly
Offers a remote work program
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers an Employee Assistance Program (EAP)
Offers generous PTO
Provides paid sick days
Provides paid holidays
Career Growth + Development
Provides customized development tracks
Recently posted jobs
Retail
Own and improve People Operations programs across corporate and retail teams, including onboarding, offboarding, performance management, internal mobility, benefits, compensation, compliance, HRIS administration, employee data, and manager support. Partner with Finance, Payroll, IT, Legal, and Retail Operations to maintain accurate, scalable, compliant people processes and provide guidance on employee lifecycle matters.
Retail
Design and develop women’s knitwear and sweater products from research and initial sketches through technical packages, sampling, fittings, and production. Collaborate with design, merchandising, raw materials, technical, and production teams to create cohesive seasonal collections aligned with Everlane’s clean, timeless aesthetic. Support milestone presentations and apply product and merchandising insights to future designs.
Retail
Leads Everlane’s data science and analytics team, delivering business insights, predictive models, experimentation, customer behavior analysis, and self-service analytics. Owns the data architecture and roadmap, evaluates new data and machine learning technologies, scales the data platform, and partners with stakeholders across marketing, digital product, and other business functions. Manages and develops data analysts, data scientists, and data engineers.
