Engineering Manager, Identity Infrastructure (AI)

TL;DR

Engineering Manager, Identity Infrastructure (AI): Leading a team responsible for foundational identity services for hirify.global, ensuring high reliability, security, and performance under extreme load with an accent on technical strategy, architecture of distributed systems, and operational excellence. Focus on coaching engineers, defining roadmap for core identity systems, and overseeing authentication and token exchange infrastructure for secure access to user data.

Location: Hybrid (San Francisco, CA), 3 days in office per week. Relocation assistance offered to San Francisco, CA, USA. US-based candidates only.

Salary: $405,000–$490,000 + Equity

Company

hirify.global is an AI research and deployment company focused on ensuring general-purpose artificial intelligence benefits all of humanity by pushing boundaries and safely deploying AI systems through its products.

What you will do

• Build, lead, and develop a high-performing engineering team, coaching and mentoring engineers and technical leads.
• Define and own the technical strategy, roadmap, and execution for hirify.global’s core identity systems.
• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.
• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.
• Ensure effective team operations, strong engineering rigor, and consistent delivery against ambitious goals.
• Lead the team responsible for authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

Requirements

• 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.
• 10+ years of experience building, scaling, and operating distributed systems at large scale.
• Deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.
• Broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.
• Deep care about people leadership, coaching, and helping engineers achieve peak performance.
• Ability to communicate clearly, think holistically, and make decisions grounded in user needs and long-term sustainability.

Culture & Benefits

• Hybrid work model of 3 days in the office per week in San Francisco, CA.
• Relocation assistance offered to new employees.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
• Values diverse perspectives, voices, and experiences.