The Machine Learning Engineer will own the ML lifecycle, develop production models, monitor performance, and collaborate with cross-functional teams to enhance business onboarding and fraud prevention applications.

As a Partner Acquisition Manager, you will source, negotiate and launch partnerships, build a partner pipeline, and drive market intelligence. Collaboration with internal teams is essential to align on go-to-market strategies.

The Social Media Manager will oversee Middesk's organic social presence, creating engaging content while measuring its effectiveness and collaborating with cross-functional teams.

The Software Engineer will develop using React and Ruby on Rails, collaborate with cross-functional teams, and contribute to building customer-centric solutions.

As a Data Scientist at Middesk, you'll build and improve data products, derive insights from data, and shape strategies for risk solutions while leading the data science function.

Lead growth marketing strategies to build a pipeline for the business verification API, manage a team, and conduct experiments to enhance customer engagement and conversion rates.

The Solutions Architect will manage technical relationships with key customers, drive onboarding, troubleshoot complex issues, and advise on integrations while influencing product direction through collaboration across teams.

The Software Engineer will lead the data platform's architecture, design scalable systems for data processing, and ensure data quality, mentoring team members.

Lead investigative research and data storytelling for Middesk, focusing on uncovering insights and producing credible data narratives for national media.

The Infrastructure Engineer will design, build, and maintain cloud infrastructure, manage Kubernetes environments, improve developer experience tools, and ensure compliance with security standards.