Senior Full-Stack Engineer (Product & Platform)

ROle :Senior/Staff Product Engineer/Senior Full-Stack Engineer (Product & Platform) Location: San Francisco, CA (in-office preferred; remote may be considered for exceptional candidates) Employment type: Full-time Experience: 2–10 years as a Product, Infrastructure, Platform, or Backend Engineer Visa sponsorship: Open to visa transfers, including OPT and H-1B transfers About the role We are looking for a Senior or Staff-level Product Engineer to build and own core user-facing products across the platform. You will take ownership of large product areas, work closely with the founding team, and ship simple, reliable products that help non-technical business users run critical business systems. . What you’ll do Build and own user-facing products end to end, including the AI Agent, App Builder, mobile/PWA experience, and headless SaaS SDK products Own product areas such as Users & Access, CMS, Files & Media, Email, and Commerce Take unclear goals and drive them through design, architecture, data modeling, API design, development, launch, and iteration Work closely with founders on product requirements and iterate quickly based on feedback from a large user base Design simple, intuitive UX/UI that enables non-technical users to operate business systems such as CRMs, ERPs, warehouse management, and HR platforms Build and improve core SaaS capabilities, including billing, entitlements, analytics, A/B testing, feature flags, internationalization, and notifications Use AI coding tools to increase velocity and ship high-quality products quickly What you’ll bring 2–10 years of experience as a Product, Infrastructure, Platform, or Backend Engineer Proven experience owning and shipping an entire product module end to end, such as authentication, CMS, email, files, or billing Strong full-stack skills, with deep expertise in TypeScript, React, and PostgreSQL Hands-on production experience with Temporal or a comparable workflow orchestration tool, such as Cadence or AWS Step Functions Experience managing infrastructure as code using CDK or Terraform Experience orchestrating servers or containers using Kubernetes, Docker, or AWS Strong database experience, including schema design, scaling, and performance tuning Daily experience using AI coding tools such as Claude Code, Cursor, or background agents Nice to have Experience building infrastructure for AI agents or ML workloads, including long-running jobs, model routing, inference, or GPU orchestration Experience at a fast-growing startup with fewer than 150 employees, ideally pre-Series C Experience at a high-bar developer tools or product company Founder experience, YC experience, open-source contributions, public product launches, or technical writing