StackedSP Inc
Staff Software Engineer, Platform – Build the Core of an Enterprise AI Startup
StackedSP Inc, New York, New York, us, 10261
About the Company
Company Size :
Industry : Agentic AI, Automation, Enterprise Software Founding Year : 2023 Stage : Early-Stage Startup Tech Stack:
Python, TypeScript, Kubernetes, and other leading tools This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems. As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on. What You’ll Tackle: Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems. Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries. Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless. Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation. Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast. What You'll Bring: Experience architecting and building core platform components such as structured context graphs, observability layers, tagging, and discovery systems. Ability to design scalable APIs and frameworks to support AI-powered workflows across industries. Skill in building bi-directional Git integrations and interfaces for seamless workflows. Ownership of platform infrastructure decisions from strategic design to implementation. Strong collaboration skills across engineering teams to deliver high-quality systems quickly. Why You’ll Want to Join: Founding seat at a venture-backed, mission-driven AI company. Huge technical ownership—architect, build, and scale critical systems. Tight-knit, high-velocity team—no endless approvals, just smart, fast-moving people. Real-world AI impact—enterprise deployments in meaningful industries, not toy projects. Competitive salary and meaningful equity upside. $180,000 - $240,000 a year
Compensation includes salary range above plus meaningful equity in an early-stage venture-backed startup, commensurate with experience. #J-18808-Ljbffr
Industry : Agentic AI, Automation, Enterprise Software Founding Year : 2023 Stage : Early-Stage Startup Tech Stack:
Python, TypeScript, Kubernetes, and other leading tools This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems. As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on. What You’ll Tackle: Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems. Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries. Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless. Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation. Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast. What You'll Bring: Experience architecting and building core platform components such as structured context graphs, observability layers, tagging, and discovery systems. Ability to design scalable APIs and frameworks to support AI-powered workflows across industries. Skill in building bi-directional Git integrations and interfaces for seamless workflows. Ownership of platform infrastructure decisions from strategic design to implementation. Strong collaboration skills across engineering teams to deliver high-quality systems quickly. Why You’ll Want to Join: Founding seat at a venture-backed, mission-driven AI company. Huge technical ownership—architect, build, and scale critical systems. Tight-knit, high-velocity team—no endless approvals, just smart, fast-moving people. Real-world AI impact—enterprise deployments in meaningful industries, not toy projects. Competitive salary and meaningful equity upside. $180,000 - $240,000 a year
Compensation includes salary range above plus meaningful equity in an early-stage venture-backed startup, commensurate with experience. #J-18808-Ljbffr