New York, NY
AI-powered platform for governed internal enterprise apps
Superblocks builds a low-code/AI platform enabling engineering, IT, and business teams to create secure internal tools, workflows, and apps. It serves enterprises needing fast development with governance, integrating data platforms like Snowflake and cloud providers. This matters for reducing rogue app risks and scaling custom software efficiently.
Own the customer lifecycle from pre-sales discovery through onboarding, adoption, value realization, and strategic expansion for an AI enterprise software platform. The role requires 5+ years in a customer-facing strategic or technical position, strong data-driven problem solving, and cross-functional influence.
Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.
Designs and operates large-scale infrastructure for secure, scalable AI agent runtimes, untrusted code execution, and multi-cloud deployments. Requires strong expertise in distributed systems, containers, Kubernetes, and security.
Solutions Engineer resolves technical issues for customers via chat and Zendesk, gathers feedback for product improvements, participates in customer meetings, and creates documentation. Requires engineering background with JavaScript/Python/TypeScript experience and strong presentation skills; onsite in NYC.
Sales Engineer partners with sales team to demo Superblocks platform, guide customers through evaluations, deliver technical proofs-of-concept, and provide post-sales support. Requires software development experience or technical background, in-person demo skills, and ability to translate tech to business value.
Owns roadmap for AI agent capabilities including orchestration, governance, and execution. Partners with engineering and customers on technical AI products, requiring 3+ years PM experience and deep AI/ML familiarity.
Owns full sales cycle for enterprise SaaS, focusing on new logo acquisition by prospecting technical leaders and driving deals through technical validation and procurement. Requires 2-5 years enterprise SaaS sales experience with quota attainment and outbound skills.