Technical Program Manager (AI Safety)

TL;DR

Technical Program Manager (AI Safety): Driving the operational strategy and execution of all safety initiatives for Gemini models, coordinating model training and evaluation infrastructure. Accent on managing a broad portfolio of cutting-edge AGI Safety & Alignment research and ensuring system safety. Focus on deep diving into technical details of losses and evaluations for Safety, proactively identifying and unblocking research and engineering teams.

Location: Mountain View, California, US. This role is part of a geographically dispersed, virtual team spanning Mountain View, New York, London, and Zurich. The compensation is for a US base salary.

Salary: $156,000–$229,000 USD + bonus + equity + benefits.

Company

hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence, with a focus on public benefit, scientific discovery, and ensuring safety and ethics.

What you will do

• Lead the end-to-end delivery of SFT and RL training data for AI Safety and manage a portfolio of AGI Safety & Alignment research.
• Analyze technical details, losses, and evaluations for Safety to ensure accurate problem measurement.
• Drive organizational efficiency by improving processes and implementing tooling.
• Proactively identify and resolve blockers for research and engineering teams.
• Coordinate alignment across diverse Gemini groups, including Release teams and Model Behavior.
• Manage executive reviews and influence outcomes across stakeholders without direct authority.

Requirements

• 5+ years of experience leading large-scale complex programs, preferably across multiple geographies and time zones.
• Fluency in English (C1 equivalent) and flexibility to work across time zones.
• Demonstrated success in fast-paced program execution and deliveries.
• Good understanding of large language models, multi-turn conversations, or model behavior and other alignment-related topics in machine learning.
• Excellent communication skills and demonstrated management experience.

Nice to have

• Degree in Computer Science, Engineering or equivalent professional experience.
• Strong understanding of ML/AI principles and distinctions from traditional software development.

Culture & Benefits

• Work on a high-impact opportunity in AI Safety within a geographically dispersed, virtual team.
• Navigate ambiguity inherent in cutting-edge AI research in a fast-paced environment.
• Collaborate with a diverse team, valuing varied experiences and perspectives.
• Receive competitive compensation including bonus, equity, and benefits (for US-based employees).
• Committed to equal employment opportunity and diversity.

Hiring process

• Successful offers are conditional on the results of a background check.