Top Tech Jobs & Startups Jobs

MoneyLion is seeking a Senior Counsel, Commercial and Product to join their legal team. The role involves drafting, reviewing, and negotiating complex commercial agreements, creating contract templates, providing legal advice on product development, and managing various legal documents and policies. The position requires on-site work at the NYC headquarters.

As a Cybersecurity Analyst at MoneyLion, you will play a critical role in developing and implementing strategies to proactively identify and mitigate potential cyber threats. Responsibilities include monitoring network traffic, designing and deploying security controls, identifying gaps in threat detection capabilities, collaborating with teams, and utilizing SIEM for analysis.

As a Senior Cybersecurity Analyst at MoneyLion, you will lead vulnerability assessments and security reviews in cloud environments, identify and mitigate vulnerabilities, and mentor junior team members. You will play a key role in strengthening MoneyLion's security posture and protecting against threats.

The Director, Financial Services Sales will be responsible for understanding partner needs, crafting solutions, and closing deals. They will work with banks, lenders, credit card issuers, and fintech companies to integrate MoneyLion into their customer acquisition and revenue strategies. The role requires strong communication skills, executive presence, and the ability to work independently. This position can be remote or based in the New York City office.

MoneyLion is seeking a visionary VP of Marketing, focused on Lifecycle Communication to spearhead the evolution and growth of our Lifecycle engine. This role involves refining and enhancing lifecycle marketing strategies, driving strategy, innovation, and execution.

As a Senior Data Engineer, design and implement analytical solutions using big data technologies. Collaborate with cross-functional teams to develop and validate data solutions. Mentor junior engineers and ensure code maintainability and performance standards.

Develop and optimize AI models within the domain of large language models for generative AI applications. Implement, deploy, and scale GenAI applications while ensuring high performance and reliability in a production environment. Collaborate with cross-functional teams to integrate models into existing systems and workflows.