Senior Technical Program Manager / Strategic Program Lead

Senior Technical Program Manager / Strategic Program Lead

We are seeking a Senior Technical Program Manager to lead the development and delivery of reinforcement learning environments, training tasks, and evaluation infrastructure for frontier AI models.

You will 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.

Key Responsibilities

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

Required Qualifications

• 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.

Preferred Qualifications

• 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.

What Success Looks Like

• Multiple RL programs running in parallel, consistently delivering hundreds of validated tasks weekly.
• Fast execution and rapid adaptation to evolving customer and research priorities.
• Reliable verification, strong quality metrics, and scalable production workflows.
• High-performing technical contributor networks and trusted frontier AI customer relationships.

About Alice

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.

About the Position

We are seeking a Senior Technical Program Manager to lead the development and delivery of reinforcement learning environments, training tasks, and evaluation infrastructure for frontier AI models.

You will 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.

Key Responsibilities

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

Required Qualifications

• 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.

Preferred Qualifications

• 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.

What Success Looks Like

• Multiple RL programs running in parallel, consistently delivering hundreds of validated tasks weekly.
• Fast execution and rapid adaptation to evolving customer and research priorities.
• Reliable verification, strong quality metrics, and scalable production workflows.
• High-performing technical contributor networks and trusted frontier AI customer relationships.

About Alice THE CHALLENGES ALONG THE WAY 1. Being Both Strategist and Executioner

One of the hardest parts of this role is that you're both the visionary and the builder; the one drawing the mapandpaving the road.
That means switching between high-level strategy and hands-on experimentation daily, and doing it while bringing others along with you. There's no playbook for this kind of work. You're paving an unpaved road, one small experiment at a time.

2. Balancing Security and Innovation

ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises and tech platforms every day.
As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.