Secure the AI apps and agents you build and deploy with red teaming and runtime guardrails powered by real-world adversarial data. Backed by Norwest and CRV.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
- 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...
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