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13 часов назад

Principal, Technical Product Manager (AI)

111 900 - 158 000$
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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TL;DR

Principal, Technical Product Manager (AI): Define how AI scales across the enterprise by owning technical product strategy and end-to-end lifecycle management for core AI products, with an accent on cross-functional technical leadership and production-grade AI platform architecture. Focus on solving ambiguous AI system bottlenecks, benchmarking and fine-tuning models and agent frameworks, and ensuring scalable, secure, cost-optimized delivery.

Location: Dallas, TX

Salary: 111,900 - 158,000 USD annually

Company

hirify.global provides property intelligence and technology to power a global property ecosystem.

What you will do

  • Own vision and lifecycle management for core AI products, turning technical design and corporate strategy into executable product roadmaps.
  • Act as the technical bridge across AI Research, Engineering, Data Platforms, Security, and Product to ship AI capabilities.
  • Drive requirements for high-throughput, low-latency AI architectures that are scalable, secure, and cost-optimized.
  • Oversee continuous benchmarking, fine-tuning, and upgrading of models and agent frameworks to maintain market leadership.
  • Resolve highly ambiguous AI challenges, including system bottlenecks, alignment issues, and infrastructure constraints.

Requirements

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related quantitative field (or equivalent practical experience).
  • 7+ years of deep technical experience across Technical Product Management, Software Engineering, or AI Research, with a track record of shipping platform-level products.
  • Advanced knowledge of the modern AI stack (e.g., vector databases, LangChain/LlamaIndex, vLLM, Hugging Face, Triton Inference Server).
  • Hands-on experience with cloud-native ecosystems (AWS/GCP/Azure) and distributed training infrastructure (Kubernetes, Slurm, GPU/TPU orchestration).
  • Deep understanding of Agile/XP and Lean Product Design applied to experimental R&D or platform engineering environments.
  • Strong strategic thinking balancing cutting-edge AI experimentation with enterprise-grade reliability, safety, and compliance.

Culture & Benefits

  • Flexible working model with generous PTO and 11 paid holidays.
  • Multiple medical plan options with mental health and wellness support.
  • 401(k) with company match and vesting after one year.
  • Up to 16 weeks of fully paid parental leave and a baby stipend.
  • $400 annual well-being stipend and tuition assistance up to $5,250.
  • Recognition rewards, referral bonuses, and exclusive discounts.

Hiring process

  • Application review within the stated application window.
  • Interviews to evaluate technical product leadership, AI platform thinking, and cross-functional influence.
  • Final evaluation based on fit for enterprise-grade AI product delivery.

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