Enverus

HQ
Austin, Texas, USA
Total Offices: 8
1,700 Total Employees
Year Founded: 1999

Benefits at Enverus

Financial + Retirement

401(K)

401(K) matching

Charitable contribution matching

Performance bonus

Child Care + Parental Leave

Childcare benefits

Family medical leave

Generous parental leave

Office Perks

Company-sponsored outings

Company-sponsored happy hours

Onsite office parking

Diversity

Dedicated diversity and inclusion staff

Mandated unconscious bias training

Diversity employee resource groups

Hiring practices that promote diversity

Health Insurance + Wellness

Dental insurance

Disability insurance

Flexible Spending Account (FSA)

Health insurance

Life insurance

Vision insurance

Wellness programs

Mental health benefits

Culture

Volunteer in local community

Open door policy

Remote work program

Team based strategic planning

OKR operational model

Professional Development

Job training & conferences

Mentorship program

Online course subscriptions available

Promote from within

Vacation + Time Off

Paid volunteer time

Paid holidays

Paid sick days

Unlimited vacation policy

Recently posted jobs

15 Hours Ago
Remote
2 Locations
Big Data • Information Technology • Software • Analytics • Energy
The Business Development Representative will drive sales by qualifying new revenue opportunities, communicating with industry professionals, and partnering with sales teams on targeted campaigns. This role requires a strong background in SaaS sales and energy sector experience.
2 Days Ago
Remote
3 Locations
Big Data • Information Technology • Software • Analytics • Energy
The Sales Development Representative at Enverus interfaces with energy industry professionals, qualifies new opportunities, meets performance metrics, and attends trade shows.
Big Data • Information Technology • Software • Analytics • Energy
The Senior Electricity Market Optimization Engineer will develop and operationalize models for power market applications, collaborating with engineers on integration, while analyzing data and implementing optimization techniques.