As a Senior QA Analyst, you will ensure the quality of Tekmetric's applications through manual and automated testing, collaborating with teams to deliver high-quality software products.

The Machine Learning Engineer will develop and train NLP and ML models, focusing on document classification and large-scale data processing. Responsibilities include building ML pipelines, deploying models using Kubernetes and AWS, and collaborating with data engineers to integrate these models into search APIs.

Manage and strengthen partnerships in the automotive industry, driving revenue growth through collaboration and strategic execution with C-level executives.

Manage a team of Customer Onboarding Managers, develop onboarding strategies, collaborate with other departments, and improve customer onboarding metrics.

The Data Engineer will design, implement, and maintain data infrastructure and pipelines, collaborating with cross-functional teams to ensure data integrity and accessibility.

The Sales Development Representative generates leads, assists potential customers in their buying journey, and collaborates with the sales team. This role promotes career development within a growing organization.

The Account Executive will drive sales growth, manage the sales cycle, provide feedback on products, and enable customer success by transitioning new clients onto the platform.

The Senior Software Engineer will lead software development projects, collaborate with teams, ensure high-quality code, and mentor junior engineers.

The Customer Onboarding Manager will become an expert in Tekmetric products, assist customers with implementation, ensure superior service, and collaborate across teams.

As an Engineering Manager, you will lead and mentor a team of engineers, oversee the design and development of products, improve engineering processes, and collaborate with other departments to align engineering with company goals.

Seeking a Software Engineer to develop web scraping and data processing solutions. Responsibilities include building data pipelines, cleaning data, integrating ML models, and optimizing workflows using various technologies.

Manage and optimize Salesforce environments, ensuring seamless functionality for reporting and compliance. Customize Salesforce to meet business needs, conduct training, and troubleshoot issues.