Jobs at Syndio

The role involves technical implementation for clients, data integration, and leveraging AI for compensation solutions. Responsibilities include managing complex data workflows and ensuring platform adoption.

Provide administrative and operational support to senior executives in the go-to-market organization, managing schedules, travel, and office operations to facilitate revenue growth and marketing strategies.

The Staff AI Developer will design and scale AI systems for compensation solutions, collaborating with cross-functional teams to deliver impactful, production-ready applications using modern AI/ML technologies.

The Implementation Manager guides customers through product implementations, ensuring tailored solutions and driving product adoption while collaborating across teams to support customer success.

As a Senior Sales Engineer, you'll lead technical narratives, deliver tailored demos, and bridge gaps between product and revenue, ensuring customer success and effective communication with executive stakeholders.

As Senior Manager of Application Support, you'll define an AI-native support vision, lead a team, design customer-facing agents, and analyze support metrics for scaling operations.

Design, build, and deploy AI/ML systems for compensation solutions, collaborating with cross-functional teams to ensure a business impact.

The Senior Site Reliability Engineer will enhance application reliability and availability, manage Kubernetes applications, and collaborate with developers in a cloud-based environment.

The role involves leading technical implementations for clients, utilizing SQL and Python for data transformation, and integrating data into Syndio's platform while innovating with AI for unique solutions.

The Senior Sales Engineer will lead technical sales cycles, deliver product demos, and bridge communication between product and sales teams, ensuring effective compensation solutions for clients.

The role involves leading technical implementations for clients, integrating their data systems, utilizing AI for solutions, and driving platform adoption in a SaaS environment.