GumGum is seeking a Senior Platform Engineer to define and build a next-generation, AI-powered software development platform. This hands-on, high-ownership role will evaluate the AI SDLC and spec-driven development frameworks, decide what to adopt or build, and own the platform end-to-end—from architecture to organization-wide rollout. The goal is to deliver 10x faster feature delivery with a workflow that product managers can author and iterate on specs directly. You will partner daily with DevOps to wire the platform into CI/CD and infrastructure, and with the Machine Learning Engineering team on the AI/agent layer—model selection, context design, and guardrails. This role sits at the center of how GumGum Engineering builds software for years to come. Note: GumGum offers a flexible work environment with the option to work in-office or remotely/from home. For occasional in-person collaboration, the position should be located within a commutable distance to the Santa Monica office. What You'll Achieve: Evaluate the AI SDLC/spec-driven development landscape and decide whether GumGum adopts or builds its own platform; Architect the platform end-to-end—spec authoring, agent orchestration, and validation gates—owning the roadmap from prototype to company-wide rollout; Build tooling and services that make spec-driven development the default workflow for every engineering team; Instrument the platform to track adoption, delivery velocity, and friction, using data to shape what gets built next; Design for self-service so product managers and other non-engineers can author and iter

GumGum is seeking a Senior Platform Engineer to define and build a next-generation, AI-powered software development platform. This hands-on, high-ownership role will evaluate the AI SDLC and spec-driven development frameworks, decide what to adopt or build, and own the platform end-to-end—from architecture to organization-wide rollout. The goal is to deliver 10x faster feature delivery with a workflow that product managers can author and iterate on specs directly. You will partner daily with DevOps to wire the platform into CI/CD and infrastructure, and with the Machine Learning Engineering team on the AI/agent layer—model selection, context design, and guardrails. This role sits at the center of how GumGum Engineering builds software for years to come. Note: GumGum offers a flexible work environment with the option to work in-office or remotely/from home. For occasional in-person collaboration, the position should be located within a commutable distance to the Santa Monica office. What You'll Achieve: Evaluate the AI SDLC/spec-driven development landscape and decide whether GumGum adopts or builds its own platform; Architect the platform end-to-end—spec authoring, agent orchestration, and validation gates—owning the roadmap from prototype to company-wide rollout; Build tooling and services that make spec-driven development the default workflow for every engineering team; Instrument the platform to track adoption, delivery velocity, and friction, using data to shape what gets built next; Design for self-service so product managers and other non-engineers can author and iter