Givebutter

HQ
Austin
Total Offices: 2
111 Total Employees
Year Founded: 2016

Givebutter Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers disability insurance

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides bereavement leave

Provides paid holidays

Offers sabbatical leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Company Culture

Office is pet friendly

Offers a remote work program

Recently posted jobs

One Month AgoSaved
In-Office or Remote
10 Locations
Payments
Lead and grow a multi-pod product design team, set design strategy and standards, partner with Product and Engineering, define AI-driven design practices, raise craft quality, hire and develop designers, and influence product direction and business outcomes across the Givebutter platform.
2 Days AgoSaved
In-Office or Remote
10 Locations
Payments
Generates new sales pipeline by researching nonprofit prospects and conducting cold calls, personalized email, and social outreach. Leads discovery conversations, qualifies prospects, books meetings for Account Executives, maintains accurate HubSpot records, meets activity and pipeline targets, and improves messaging using performance data and feedback. The role requires resilience, strong communication, outbound sales experience, and enthusiasm for nonprofits and social impact.
5 Days AgoSaved
In-Office or Remote
10 Locations
Payments
Product Data Scientist responsible for product data modeling, product and revenue analytics, behavioral analysis, A/B experimentation, and product metric governance. The role partners with Product, Revenue, Engineering, and Analytics Engineering teams to deliver scalable insights and influence decisions. It also contributes to agentic analytics by evaluating AI-generated outputs and improving semantic and prompt layers.