Jobs at Solink

The Controller will lead the accounting function, ensuring financial integrity, oversee core accounting operations, develop financial strategies, and enhance compliance and internal controls while leading a high-performing team.

The Marketing Operations Manager ensures effective operations within Marketing and Revenue teams, focusing on data integrity and lead acquisition to support growth.

The Manager, Logistics and Supply Chain oversees the supply chain team, optimizing operations, ensuring compliance, and fostering team development to meet growing demand.

As a Staff Software Engineer, you'll design and maintain video application features, develop backend services, mentor engineers, and improve workflows at Solink.

Lead strategy and execution for Devices & Infrastructure, define outcome-driven roadmaps, partner with Engineering and SecDevOps to improve scalability, security, reliability, and cost efficiency, track SLOs/SLAs and performance metrics, and drive cross-functional initiatives to increase operational efficiency and developer productivity.

The Senior Full Stack Engineer will design and implement production systems for AI agents within Solink's cloud platform, focusing on backend services, APIs, and operational reliability.

The Senior Full Stack Developer will build scalable solutions for device management, design APIs, mentor junior developers, and collaborate with teams to improve product experience.

The Senior Manager, Revenue Enablement will lead the strategy and roadmap for Sales, Customer Success, and Channel enablement while embedding AI into workflows. This role includes leading a team, optimizing processes, and driving measurable revenue impact through enablement programs.

The role involves developing AI features, optimizing ML models, collaborating with teams, and ensuring software quality and observability. Responsibilities include the full software development lifecycle (SDLC).

The Senior Full Stack Developer will design and implement integration methods for customer data, optimize data pipelines, and ensure system reliability while working with AWS technologies and various programming languages.

The role involves designing, developing, and deploying AI/ML models, integrating them into production systems, and contributing to backend/frontend features in a fast-paced environment.