Wonderlic

HQ
Vernon Hills
Total Offices: 2
55 Total Employees
Year Founded: 1937

Wonderlic Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

2 Days AgoSaved
Remote
USA
Artificial Intelligence • HR Tech • Machine Learning • Social Impact • Software • Consulting
Drive new-logo sales and revenue growth for Wonderlic’s talent assessment and employee development solutions. Identify and prospect target clients, build relationships with HR and recruiting decision-makers, manage opportunities through the full sales cycle, close new business, and transition customers to Customer Success. Maintain expertise in products, market trends, and competitive conditions while providing strategic insights. The role requires B2B SaaS and HR technology sales experience, quota achievement, pipeline generation, and experience selling to SMB, mid-market, and enterprise buyers.
Artificial Intelligence • HR Tech • Machine Learning • Social Impact • Software • Consulting
Own and advance Wonderlic's Jobs Engine to produce scalable, scientifically defensible job analysis using NLP and ML. Build and refine models that infer job content from unstructured text, integrate occupational taxonomies, ensure fairness and legal defensibility, and partner with product, engineering, and I-O teams to translate science into production systems and evaluation practices.