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.

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 General Ledger Accountant will ensure compliance with GAAP standards, manage multi-entity accounting, lead month-end close processes, and optimize financial operations while providing support for audits and strategic projects.

The Senior Director, Strategic Finance will oversee financial strategy, planning, analysis, and resource allocation while collaborating with senior leadership on strategic initiatives.

Lead go-to-market strategy for fintech products, drive sales execution, manage a fintech sales team, and collaborate cross-functionally to achieve revenue targets.

Lead the development of Tekmetric Phones, managing product roadmap and cross-functional teams to create a VoIP solution for auto-repair shops.

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.