Top Tech Jobs & Startup Jobs in Little Rock,

As a Customer Success Manager at Alpaca, you will lead relationships with B2B customers from launch to renewal, ensuring their success and satisfaction. You will manage escalations, drive feature adoption, forecast growth, and communicate account status while fostering strong internal and external relationships to support customer goals.

The CRM Manager will design and implement customer lifecycle strategies to enhance loyalty and retention through personalized communication across diverse channels. Responsibilities include managing CRM automation, analyzing campaign performance, collaborating with cross-functional teams, and leveraging data for enhanced customer experiences.

As a Sr. ML Ops Engineer, you'll develop and maintain scalable ML pipelines, automate workflows, monitor and optimize model performance, collaborate with teams, ensure compliance, and document ML processes and performance.

The Senior Account Executive will be responsible for driving sales, engaging with potential clients through various outreach methods, and managing the entire sales process. They will deliver compelling presentations and work to exceed performance metrics while maintaining a sales pipeline. Ideal candidates should have a strong sales background and a passion for the ticketing industry.

The Email Marketing Implementation Specialist is responsible for managing technical aspects of client email accounts, implementing various marketing tools, and ensuring effective email delivery through list management, A/B testing, and performance audits. The role requires collaboration with strategists and designers to drive client growth and performance improvements through email and SMS marketing strategies.

Join AIG as a Financial Analysis Manager to support the Lexington finance team, improve operating models, enhance financial reporting, and collaborate with various departments. Requires 5+ years of financial experience in the insurance industry.

The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.