Technical Program Manager, Safeguards (AI)

TL;DR

Technical Program Manager, Safeguards (AI): Building and operating infrastructure for AI safety in production with an accent on driving reliability, incident response, and defining/meeting SLOs. Focus on ensuring operational health, coordinating large platform investments, and driving critical migrations and eval-platform improvements.

Location: Hybrid in San Francisco, New York City, or Seattle, CA, requiring 25% office attendance. Visa sponsorship is available.

Salary: $290,000 – $365,000 USD

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

What you will do

• Own Safeguards Engineering operational reviews to ensure team coordination and visibility into reliability trends.
• Drive incident tracking and post-mortem execution, ensuring action items are completed across the organization.
• Establish and maintain Service Level Objectives (SLOs) for safety-critical pipelines with partner teams.
• Maintain high runbook quality and ensure clear incident-ownership for safety-critical systems.
• Drive program management for large infrastructure projects and platform migrations.
• Coordinate improvements to the evaluation platform, including self-serve capabilities and infrastructure.

Requirements

• Solid technical program management experience, particularly in operational or infrastructure-heavy environments.
• Technical depth in production ML systems to triage incidents and engage in substantive engineering conversations.
• Energized by closing loops on post-mortem actions, SLOs, and runbook accuracy.
• Ability to work effectively across team boundaries and coordinate shared work through influence and communication.
• Thrive in environments shifting between operational maintenance and new platform development.
• Experience with or strong interest in AI safety and understanding safety-critical pipeline reliability.

Nice to have

• Experience with SRE practices, incident management frameworks, or on-call operations at scale.
• Experience with or working on evaluation infrastructure for ML systems.
• Experience driving infrastructure migrations in complex, multi-team environments.
• Familiarity with monitoring and alerting tooling (e.g., PagerDuty, Datadog).

Culture & Benefits

• Work as a single cohesive team on large-scale, high-impact AI research efforts.
• Value impact, advancing long-term goals of steerable, trustworthy AI.
• Collaborative group with frequent research discussions and high value on communication skills.
• Competitive compensation and benefits, with optional equity donation matching.
• Generous vacation and parental leave, along with flexible working hours.
• Lovely office space in San Francisco for collaboration.