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About the Role
Lead the development and delivery of reinforcement learning environments, training tasks, and evaluation infrastructure for frontier AI models. Work directly with leading AI labs, internal engineering and research teams, and external technical experts to translate complex research requirements into scalable programs. This role requires someone who thrives in a fast-paced, high-ambiguity environment, can move quickly from strategy to execution, and successfully drive multiple complex technical programs in parallel.
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 the 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, rapidly 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.
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.
- 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.
Skills
- LLMs
- AI agents
- Reinforcement learning
- Post-training
- Model evaluation
- Software engineering
- APIs
- Infrastructure
- Testing
- Automation
- Prioritization
- Problem-solving
- Communication
- Stakeholder management
- Python
- Containers
- Automated testing
Experience Level
- Senior
Education Level
- Degree in Computer Science, Engineering, or equivalent experience
About the Company
- Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines.
- In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.
- Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.
- If you're creative and driven to secure the future of AI, we want to hear from you!