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7 дней назад

Principal Product Manager (AI)

190 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Product Manager (AI): Owning the end-to-end model and capability roadmap for an AI inference platform with an accent on LLM architectures, inference performance, feature completeness, and customer-driven prioritization. Focus on evaluating models, defining capability and quality bars, building prototypes, and driving cross-functional launches across AI hardware and software.

Location: San Jose, California, United States

Base salary: $190,000–$230,000 USD per year

Company

hirify.global develops next-generation AI infrastructure, including a full-stack inference platform and RDU-based SambaRack hardware for deploying advanced models.

What you will do

  • Own the unified model stack rank, per-chip roadmap, prioritization process, and roadmap dashboard.
  • Convert priorities into engineering commitments, coordinate delivery, and lead model launches with Marketing, Documentation, and GTM.
  • Define feature-completeness frameworks, acceptance criteria, evaluation methodology, and quality bars for models.
  • Test new models using real prompts, agentic tasks, feature checks, evaluations, and experiments.
  • Build demos, notebooks, lightweight applications, and product mock-ups that demonstrate model performance and value.
  • Track the open-weight model landscape, customer feedback, competitive positioning, and roadmap data quality.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, Machine Learning, or a related technical field.
  • 7+ years of combined product management and technical experience, including 3+ years managing AI/ML, developer, or infrastructure products.
  • Strong knowledge of LLMs, transformer and MoE architectures, inference trade-offs, function calling, structured output, and reasoning.
  • Experience owning roadmaps, setting priorities under constraints, and driving cross-functional teams to launch.
  • Ability to build prioritization models, dashboards, and scorecards, query APIs, and modify Python scripts.
  • Hands-on experience calling model APIs, running evaluations, and building prototypes with Python, notebooks, or lightweight UI tools.

Nice to have

  • Experience at an inference provider, model lab, AI cloud, or AI hardware company.
  • Familiarity with vLLM, SGLang, TensorRT-LLM, and OpenAI- or Anthropic-compatible APIs.
  • Experience designing model evaluations and benchmark methodologies.
  • Background in ML or solutions engineering, enterprise or public-sector AI, sovereign AI, or the open-source model community.

Culture & Benefits

  • Full-time US employment with equity and a comprehensive benefits package.
  • Medical insurance with 95% employee premium coverage and 77% dependent premium coverage.
  • Health Savings Account with employer contribution, Flexible Spending Accounts, dental, vision, disability, life, and AD&D insurance.
  • Well-being benefits including Headspace, Gympass+, One Medical, and counseling services.
  • Equal Opportunity/Affirmative Action employment practices.

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