Own the backend services and data pipelines that power Grader scans end-to-end — from ingesting third-party presence signals (Google, Yelp, menus, LLM GEO signals) to serving results reliably at scale
Harden the platform before expansion — reduce latency, increase uptime, and build the observability and alerting layer the team needs to confidently scale Grader into new scoring dimensions
Establish platform foundations — shared abstractions, operational runbooks, and architectural patterns that reduce toil and give other engineers a reliable base to build on
Partner closely with PLG product and the AI Agents team as Grader evolves into a broader AI-powered tool for restaurant owners
Requirements
5+ years, with meaningful time owning backend services in production
Experience building and operating data pipelines, third-party integrations, and async processing systems at scale
Proven track record improving system reliability — observability, alerting, incident reduction, and making operational health a team habit
Experience at a product-focused startup or scale-up where you owned systems end-to-end
High degree of cross-functional collaboration — past colleagues in product, design, and business would speak highly of your teamwork
Strong sense of ownership and drive, excellent communication, and a proactive approach to identifying and solving problems.