Senior Staff Software Engineer - Builder Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer – Builder Platform based in United States. As a Senior Staff Software Engineer, you will provide company-wide technical leadership, shaping the long-term vision and architecture of an advanced internal platform focused on AI agents, automated workflows, and developer productivity. You will lead strategic initiatives spanning AI infrastructure, platform engineering, developer tools, and productivity engineering. Working across multiple engineering teams and business functions, you will establish scalable architectural standards, governance frameworks, and best practices that accelerate innovation while maintaining security, reliability, and cost efficiency. You will drive the adoption of AI-powered technologies and build the infrastructure that enables teams to automate complex engineering and business processes. This role combines deep technical expertise, strategic thinking, and organizational influence, offering the opportunity to shape how an entire company builds, deploys, and operates software. You will also mentor senior technical leaders and contribute to open-source solutions with broader industry impact. Accountabilities: - Technical Vision and Strategic Leadership: Define and communicate the multi-year technical vision for the Builder Platform, translating organizational strategy into a clear roadmap covering AI agents and workflows, AI infrastructure, developer infrastructure, and productivity engineering. - Lead major cross-functional technical initiatives, ensuring alignment between engineering teams, business stakeholders, and organizational priorities. - Establish architectural standards, technical principles, and clear ownership boundaries that support sustainable platform development and adoption.

- Agent Platform and AI Infrastructure: Lead the architecture, development, and evolution of the shared Agent Platform, enabling teams to deploy, operate, evaluate, govern, and continuously improve AI agents and automated workflows. - Design and operate centralized Large Language Model (LLM) and Model Context Protocol (MCP) gateways, establishing appropriate guardrails, fallback mechanisms, usage monitoring, cost controls, model rollout policies, and Service Level Objectives (SLOs). - Implement AI governance frameworks in collaboration with Security, Legal, and IT teams, translating organizational policies into practical controls, approved usage patterns, and auditable processes. - Architect intelligent agents and workflows that automate engineering activities from issue identification to production deployment, as well as business processes from initial triggers to measurable outcomes. - Determine which agentic capabilities should become standardized platform services and which should remain independently managed by individual teams. - Developer Infrastructure and Productivity Engineering: Own the technical strategy for developer infrastructure, including source control systems, Continuous Integration (CI), repository standards, access management, ownership models, and reusable workflows. - Improve CI reliability, infrastructure efficiency, and developer experience by reducing friction and optimizing engineering processes. - Define and implement standardized approaches to agentic development tools, including best practices, reusable workflows, enablement resources, and internal adoption strategies. - Drive organization-wide adoption of AI-powered coding tools and agentic technologies through collaboration, influence, and practical enablement rather than rigid mandates. - Cross-Functional Collaboration and Governance: Partner with senior stakeholders across Engineering, Product, Sales, and General and Administrative (G&A) functions to identify opportunities where AI and automation can improve business outcomes.