Senior Technical Program Manager (AI)

Location: United Kingdom

Company

hirify.global is a trust, safety, and security company developing AI security solutions across the AI lifecycle, including model evaluations, red-teaming, runtime guardrails, and drift detection.

What you will do

• Lead customer-facing technical programs with frontier AI labs, translating research needs into requirements, roadmaps, and deliverables.
• Direct the development of realistic, interactive reinforcement learning environments, task-generation pipelines, and evaluation infrastructure.
• Manage weekly delivery of hundreds of technically complex tasks while maintaining quality, diversity, and efficiency.
• Coordinate cybersecurity, indirect prompt injection, agent safety, automated grading, reward mechanisms, and verification programs.
• Build and manage distributed networks of technical contributors, cybersecurity specialists, and reviewers.
• Align Research, Engineering, Product, Sales, external contributors, and customers while executing multiple programs in parallel.

Requirements

• 7+ years of experience in technical program management, engineering leadership, or technical operations.
• Strong understanding of LLMs, AI agents, reinforcement learning, post-training, and model evaluation.
• Experience leading multiple complex technical programs in parallel, making fast decisions, and delivering under aggressive timelines.
• Experience scaling high-volume production workflows involving external contributors or specialized experts.
• Strong technical foundation in software engineering, APIs, infrastructure, testing, and automation.
• Exceptional prioritization, problem-solving, communication, and stakeholder-management skills.
• High ownership, bias for action, adaptability, and ability to work in fast-moving, ambiguous environments.
• Degree in Computer Science, Engineering, or equivalent experience.

Nice to have

• Experience working with frontier AI labs or AI infrastructure companies.
• Familiarity with RL gyms, evaluation harnesses, verifiable rewards, or post-training datasets.
• Background in cybersecurity, red teaming, prompt injection, or agent safety.
• Hands-on experience with Python, containers, or automated testing.

Culture & Benefits

• Work in a fast-paced, high-ambiguity environment with rapidly changing research and customer priorities.
• Collaborate with leading AI labs, internal engineering and research teams, external technical experts, and distributed contributors.
• Operate across AI safety, cybersecurity, trust, and security programs supporting large AI and technology platforms.