New York, New York
AI-first service management for enterprise IT operations
Standard Template Labs builds an AI-first service management platform for enterprise IT teams. Its software automates IT operations, incident resolution, service workflows, and infrastructure processes to reduce operational toil and improve response times.
Commercial Account Executive responsible for full-cycle B2B SaaS sales to growing organizations, from outbound prospecting through close. The role requires 1–3 years of closing experience or strong SDR/BDR experience, pipeline-generation ability, and comfort operating in a high-velocity startup environment.
Own the full-cycle sales process for an AI-native service management platform, from outbound prospecting through close, targeting IT and service leaders at mid-market organizations. The role requires 4–7 years of sales experience, including 2+ years closing B2B SaaS new-logo business.
Own the full-cycle enterprise sales process for an AI-native service management platform, from prospecting through close. The role requires 6–10 years of sales experience, including at least three years closing enterprise B2B SaaS deals and a strong new-logo track record.
Build scalable backend services and event-driven workflow orchestration systems for an AI-native enterprise platform. The role requires 5+ years of software engineering experience and strong skills in backend development, distributed systems, APIs, and cloud-native applications.
Build and operate internal developer platforms, cloud infrastructure, CI/CD systems, and observability tooling that improve engineering productivity and production reliability. The role requires hands-on experience with AWS, Kubernetes, distributed systems, and infrastructure automation.
Owns front-end architecture and builds polished, accessible, high-performance interfaces for an AI-powered enterprise SaaS product. The role requires deep React or Next.js and TypeScript experience, strong UX judgment, API integration expertise, and experience with real-time or AI-driven interfaces.
Build scalable AI-native enterprise software spanning backend services, APIs, data infrastructure, and user-facing features. The role requires strong distributed-systems and SaaS experience, cloud and infrastructure expertise, and comfort integrating LLM capabilities across the stack.
Build and own polished, accessible front-end experiences for an AI-native enterprise SaaS product. The role requires several years of modern JavaScript or TypeScript experience, strong UI fundamentals, API integration skills, and comfort with realtime interfaces and AI-assisted development.
Senior software engineer responsible for architecting and scaling a multi-tenant graph data tier for an enterprise SaaS platform. The role requires 5+ years of software engineering experience, strong graph and distributed-systems expertise, and proficiency in a modern backend language.
Build and deploy machine learning systems powering an AI-native ITSM platform, including ticket understanding, knowledge extraction, workflow automation, and predictive insights. The role requires strong Python and ML engineering skills, experience with modern ML frameworks and MLOps, and a bachelor’s or master’s degree in a relevant field.
Leads the architecture and hands-on development of end-to-end AI systems spanning data ingestion, reasoning, backend services, APIs, and user experiences. The role requires 10+ years of software engineering experience, distributed-systems expertise, and production experience with LLMs, embeddings, RAG, or agent workflows.
Leads hands-on development of AI-native, distributed systems that integrate LLMs, retrieval, and graph intelligence into enterprise IT workflows. Requires 7+ years of software engineering experience, strong architecture and API expertise, modern programming skills, and experience mentoring engineers.
Build end-to-end enterprise SaaS features across frontend, backend, and database layers, including AI-enabled workflows and scalable APIs. The role requires modern web development, cloud, distributed systems, databases, and DevOps experience.