Selinc
Project Manager - Engineering Services
Texas - Houston
Sponsorship not specified$110k-$165kDetected 20 days ago
Project ManagementForecastingBudgetingRecruitingElectrical EngineeringPower ElectronicsCommunication
About the role
- The devices we make at SEL are embedded in the power grid.
- They make outages safer and shorter in duration; they add cybersecurity, automation, and communication.
Requirements
- 5+ years relevant application experience with project management best practices and philosophies
- Good knowledge of electric power system protection and control, integration and/or automation and communications applications
- Ability to learn new skills and assume new responsibilities
- Ability to work cooperatively in a team environment
Skills
- Identify, measure and improve project and procedural deficiencies.
- They use cutting-edge technologies and operate at speeds that push other pieces of the grid to go faster.
Compensation
- New hires generally start between $110,000 - 165,000.
- We base our starting pay offer on location and job-related factors such as candidate experience, training, knowledge, and skills.
- Our salary ranges are determined by job, responsibility, and location
- Communication with Applicants
- We communicate with all applicants.
- If you do not receive a response about your application, please check your SPAM filter or reach out to us at careers@selinc.com.
Benefits
- Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.
- We offer top tier medical, prescription, dental, vision, life, and disability insurance.
- We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
- Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.
Equal opportunity
- Vets/Disabled.
- SEL is an Equal Opportunity Employer: Vets/Disabled.
This listing is sourced directly from Selinc's careers page and normalized into a canonical job model.