Senior Technical Program Manager / Strategic Program Lead

Alice • New York, NY

9d

About The Position

Alice is seeking a Senior Technical Program Manager to lead development and delivery of reinforcement learning environments, training tasks, and evaluation infrastructure for frontier AI models. The role works directly with leading AI labs, internal engineering and research teams, and external technical experts to turn complex research requirements into scalable programs. The position calls for someone who can move from strategy to execution in a fast-paced, ambiguous environment and drive multiple complex technical programs at once.

The successful candidate will lead customer-facing programs, RL environment development, and high-volume task production; manage distributed technical contributors and reviewers; coordinate cybersecurity and agent-safety evaluations; and work with researchers and engineers on automated graders, reward mechanisms, and quality standards. They will align cross-functional teams and customers to deliver reliably while adapting to shifting priorities.

Success means running multiple RL programs in parallel, delivering hundreds of validated tasks weekly, adapting quickly to customer and research priorities, maintaining reliable verification and quality metrics, and building effective contributor networks and trusted customer relationships. Alice describes itself as a trust, safety, and security company for the AI era, supporting frontier model labs, enterprises, and UGC platforms with services across the AI lifecycle.

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.
• Proven ability to lead multiple complex technical programs in parallel, make fast decisions, and deliver 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 thrive in fast-moving, ambiguous environments.
• Degree in Computer Science, Engineering, or equivalent experience.

Nice To Haves

• 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.

Responsibilities

• Own customer-facing programs with frontier AI labs, translating research needs into clear requirements, roadmaps, and deliverables.
• Lead the creation of realistic, interactive RL gyms and scalable task-generation and evaluation pipelines.
• Manage weekly delivery of hundreds of technically complex tasks while maintaining quality, diversity, and efficiency.
• Build and manage distributed networks of technical contributors, cybersecurity specialists, and reviewers.
• Coordinate cybersecurity, indirect prompt injection, and agentic evaluation programs.
• Partner with researchers and engineers to establish automated graders, reliable reward mechanisms, and quality standards.
• Drive multiple programs simultaneously, prioritize competing demands, adapt to changing requirements, and maintain execution speed without compromising quality.
• Align Research, Engineering, Product, Sales, external contributors, and customers to ensure reliable delivery.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior