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The Sr. Lifecycle Manager at MoneyLion will lead cross-functional teams to create lifecycle experiences for new products, with a focus on acquisition, conversion, and retention. Responsibilities include analyzing data to optimize campaigns, managing the quality of communications, and improving customer experiences.

In this role, you will be responsible for the technical design and delivery of new web and mobile features, improving app performance, conducting code reviews, and mentoring junior engineers.

As a Senior Cybersecurity Analyst at MoneyLion, you will lead vulnerability assessments, analyze reports, and drive remediation plans to strengthen security. You will mentor junior team members, enhance the vulnerability management program, and align the cybersecurity posture with organizational policies. Your expertise in cloud environments and understanding of cyber threats will be crucial to the role.

The Lifecycle Marketing Specialist will enhance member experiences and drive customer account growth and retention. Responsibilities include developing lifecycle campaigns, optimizing communications through data analysis, and collaborating with cross-functional teams to improve customer engagement.

The Social Media Specialist at MoneyLion will create and publish engaging content across social media platforms, manage posting schedules, track performance metrics, respond to audience interactions, collaborate with influencers, and contribute to brand campaigns and strategy executions.

As an LLM Engineer, you will develop and optimize AI models focused on Large Language Models to innovate and deliver Generative AI applications. Responsibilities include deploying and scaling these models, maintaining application infrastructure, and collaborating with Data Scientists to integrate models into production environments.

As a Senior MLOps Engineer at MoneyLion, you will build and refine the machine learning platform and infrastructure, deploying machine learning solutions at scale. This role involves designing, prototyping, and improving ML infrastructure to enhance the modeling lifecycle.