Mixpanel

HQ
San Francisco
Total Offices: 4
410 Total Employees
Year Founded: 2009

Mixpanel Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers healthcare on-site

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Provides free snacks and drinks

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Offers paid volunteer time

Provides paid sick days

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

YesterdaySaved
In-Office
San Francisco, CA, USA
Software • Analytics • Business Intelligence • Big Data Analytics
The Revenue Strategy & Operations Manager defines strategies for customer retention and account growth, partnering with business leaders to enhance sales performance and optimize operational processes.
YesterdaySaved
In-Office or Remote
San Francisco, CA, USA
Software • Analytics • Business Intelligence • Big Data Analytics
The Senior Strategic Finance Associate leads the financial planning process for a major domain, driving analytical rigor, building business cases, and partnering with budget owners to enhance decision-making in a high-growth SaaS environment.
4 Days AgoSaved
In-Office
San Francisco, CA, USA
Software • Analytics • Business Intelligence • Big Data Analytics
Lead end-to-end analytical design and validation for Signals, Forecasting, Simulation, Predictions, and Cohort Detection. Develop causal inference, time-series forecasting, survival/retention, and clustering methods; document assumptions and validation; partner with engineers to productionize models; ensure statistical rigor, significance correction, and trustworthy outputs that translate into clear product experiences.