Posted:
12/12/2024, 10:57:16 PM
Location(s):
Karnataka, India
Experience Level(s):
Senior
Field(s):
Software Engineering
Pay:
$28/hr or $58,240 total comp
About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Job Description
Key Responsibilities
Skills and Experience
Preferred Skills
Perks and Benefits
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
Website: http://www.tekion.com/
Headquarter Location: Pleasanton, California, United States
Employee Count: 1001-5000
Year Founded: 2016
IPO Status: Private
Last Funding Type: Series D
Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Big Data ⋅ Machine Learning ⋅ Management Information Systems ⋅ Software