As Director of Sales, you will drive revenue through strategy, systems, and team oversight. Responsibilities include sales process management, optimizing the sales stack, and leading a team.

As a Business Development Rep, you'll generate and qualify leads for the sales team, conducting research and outreach while directly working with company leadership.

As a Partnerships Manager, you will scale strategic partnerships, manage the lifecycle from sourcing to growth, and collaborate cross-functionally to align executions with business goals.

The Solutions Engineer will provide technical consultation and support for API integrations, design implementation strategies, create technical documentation, and deliver product demonstrations while collaborating with cross-functional teams.

The Full Stack Engineer will build and optimize infrastructure for a robust website and console, ensuring security, compliance, and performance in large-scale data management, while writing clean, maintainable code.

The Customer Success Manager ensures excellent customer experience from onboarding to troubleshooting, building relationships and advocacy for customer needs.

Develop and maintain ML models, integrate data sources, design ML systems for KYC/KYB, implement advanced ML techniques, ensure compliance and optimize performance.

Seeking a Senior Backend Engineer for API development, backend system design, AI/ML integration, and ensuring security compliance, all while managing large-scale data.

The Junior Backend Engineer will develop RESTful APIs, manage data processing, ensure compliance, and optimize backend systems, focusing on AI/ML integration.

The Growth Marketing Manager will own and scale content and growth initiatives, run social media, collaborate on messaging, and define brand presence.

As the founding Account Manager, you will build relationships with financial institutions, drive account growth through upselling, and collaborate with internal teams to address customer needs.

Design, build, and maintain ETL/ELT pipelines and cloud data infrastructure, ensuring data integrity and collaborating with data teams on analytics and ML use cases.

Conduct data analyses, develop machine learning models, collaborate on data pipelines, and communicate insights to drive business decisions.