You will lead the AI engineering team in building GenAI capabilities while maintaining a hands-on role in designing and coding production solutions. You are responsible for setting technical direction, mentoring team members, and ensuring the quality and performance of AI-driven features.
You will provision and manage infrastructure across multi-cloud environments while maintaining CI/CD pipelines and Kubernetes clusters. Additionally, you will design site-to-site connectivity and ensure system observability and security best practices.
You will provision and manage multi-cloud infrastructure, including Kubernetes clusters and site-to-site connectivity. Additionally, you will maintain CI/CD pipelines and internal tools while ensuring system security and performance observability.
Design, build, and maintain BI tool integrations and converters that translate external semantic models into AtScale's SML. Collaborate with product and support teams to resolve customer-reported bugs and implement automated test coverage.
You will take features end-to-end across the full stack, from backend Scala engine APIs to TypeScript UI components. Additionally, you will mentor fellow engineers and drive technical execution while navigating ambiguous requirements.
Drive new logo acquisition by developing and executing a disciplined territory strategy for enterprise accounts. Expand and deepen relationships with business leaders and IT stakeholders to grow the company's footprint.
Drive new logo acquisition by developing and executing a disciplined territory strategy for strategic enterprise accounts. Expand and deepen relationships through multi-threaded engagement with business leaders and IT stakeholders.
Drive the strategic partnership and go-to-market motion for the Google and Databricks ecosystems. Collaborate with partner teams to identify growth opportunities and maintain high-level awareness of AtScale through targeted initiatives.
You will define the company-wide documentation vision, strategy, and governance while driving documentation as a product. You will collaborate with cross-functional teams to create persona-ready content across various media channels.
Design, productionize, and scale GenAI solutions while collaborating with cross-functional teams to integrate models and ensure software functionality. You will also drive standards by assessing AI-generated content for bias and accuracy while monitoring model performance.
The Technical Account Manager will serve as the primary post-sales technical leader, ensuring successful deployment, migration, and sustained value for enterprise customers. They will monitor system stability, provide strategic guidance on semantic layer design, and advocate for product improvements based on field insights.
You will own the product strategy and roadmap for the infrastructure powering internal experience teams and external developers. This includes driving the strategy for AI-facing infrastructure, APIs, SDKs, and cloud data platform integrations.
The Technical Account Manager will serve as the primary post-sales technical leader, ensuring successful deployment, migration, and sustained value for enterprise customers. They will monitor system health, provide strategic architectural guidance, and represent field insights to the engineering team to influence product development.
Drive the technical sales cycle by acting as a trusted advisor from discovery through proof of concept. Execute high-impact technical validations and influence product innovation based on field feedback.
Manage and empower globally distributed engineering teams while driving project execution and operational structure. Collaborate with product and architectural leads to coordinate dependencies and standardize AI tools across the development lifecycle.
