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3 дня назад

Technical Program Manager (AI)

220 000 - 260 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Technical Program Manager (AI Safety & Alignment): Leading cross-functional programs for model alignment, safety engineering, and deployment with an accent on RLHF, DPO, and evaluation frameworks. Focus on coordinating between research and infrastructure teams to scale high-stakes AI capabilities while ensuring rigorous safety guardrails.

Location: Redwood City, CA

Salary: $220K – $260K

Company

hirify.global empowers people to connect, learn and tell stories through interactive entertainment using cutting-edge Consumer AI.

What you will do

  • Lead planning and execution of programs covering data collection, RLHF, DPO, Constitutional AI, and safety red-teaming.
  • Coordinate workstreams across Post-Training, Safety Engineering, ML Infra, and UXR teams to align roadmaps from development to production.
  • Develop and maintain custom evaluation frameworks to track model performance, user satisfaction, and safety baselines.
  • Optimize operational velocity by identifying bottlenecks in data pipelines, annotation quality, and deployment readiness.
  • Partner with leadership to balance aggressive capability scaling with infrastructure constraints and safety requirements.
  • Manage external relationships with annotation vendors and evaluation tooling providers.

Requirements

  • 5+ years of experience in TPM, research operations, or product execution within AI/ML environments.
  • Deep understanding of post-training concepts (SFT, RLHF, LLM evaluation) and model serving.
  • Proficiency in SQL and Python.
  • BS in a quantitative, scientific, or technical field.
  • Proven track record of shipping complex, multi-team programs in ambiguous environments.
  • Exceptional communication skills for translating technical work into leadership narratives.

Nice to have

  • Experience with data pipelines, annotation platforms, or human-in-the-loop workflows.
  • Familiarity with ML infrastructure (Kubernetes, Docker, cloud) and distributed training.
  • Prior experience in a foundation model lab or Trust & Safety engineering team.
  • Direct experience managing AI red-teaming or quality evaluation programs.

Culture & Benefits

  • Comprehensive health coverage for employees and their families.
  • Generous 401(K) contributions.
  • Up to 20 weeks of paid parental leave.
  • 4 weeks of PTO.
  • Daily in-office catering and a monthly Doordash stipend.
  • Monthly wellness stipend.

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