Search the 8 jobs at SkyPoint Cloud

The Senior AI Engineer at Skypoint will develop and deploy Generative AI models for healthcare and financial services, collaborate on AI systems and MLOps pipelines, mentor team members, and manage the technical roadmap. The ideal candidate will possess strong programming skills and extensive experience in machine learning frameworks.

The Lead DevOps Engineer will design, develop, and implement DevOps solutions on Microsoft Azure. Responsibilities include building CI/CD pipelines, managing Azure governance, optimizing cloud resources, and leading containerization efforts while ensuring compliance with security and performance standards.

The AI Data Architect at Skypoint will design scalable data solutions, leverage advanced cloud technologies, and drive data strategy to enhance business intelligence and analytics. Responsibilities include developing data pipelines, ensuring data quality and governance, and mentoring teams to build effective data infrastructures.

The Lead DevOps Engineer will design, develop, and implement DevOps solutions on Microsoft Azure, focusing on CI/CD pipelines, Infrastructure as Code, and containerization. The role involves collaborating with stakeholders, managing Azure governance, and driving innovation in cloud solutions.

The Head of Sales & Marketing will lead efforts to achieve targeted revenue growth to $100 million by developing and implementing go-to-market (GTM) strategies, enhancing current methodologies, building a high-performance sales team, and targeting key industries such as healthcare and financial services. Strong leadership and experience in enterprise SaaS is essential.

The Enterprise Account Executive will drive sales in the healthcare, public sector, and financial services by managing the sales process from lead generation to closing. Responsibilities include building and maintaining a diverse sales pipeline, achieving sales quotas, and educating decision-makers on Skypoint's AI solutions.

As a Forward Deployed AI Engineer, you'll design scalable solutions for clients using Skypoint AI Platform, Databricks, and Python. Responsibilities include data integration, optimizing AI applications, and communication with clients. Strong project management and data modeling skills are essential.

As a Technical Product Manager at Skypoint, you will lead the product lifecycle management for the data and AI platform, focusing on market demands and technology trends. Your role includes collaborating with teams, maintaining technical documentation, creating user stories, and ensuring product compliance with privacy standards.