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Senior Product Manager (AI)

230Β 000 - 260Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Senior Product Manager (AI): Lead development of AI/ML data and quality products focusing on agentic data systems, synthetic data, and evaluation tools. With an accent on improving data pipeline speed, quality, and scalability. Focus on designing intelligent workflows, cross-team collaboration, and balancing short-term delivery with long-term platform growth.

Location: San Francisco, CA (Hybrid)

Salary: $230,000 - $260,000 USD

Company

hirify.global is a startup focused on transforming expert knowledge into specialized AI at scale, working with large enterprises to accelerate AI development through data-centric solutions.

What you will do

  • Own product vision, strategy, and roadmap for evaluation and quality products supporting multiple user personas.
  • Identify bottlenecks and lead cross-team efforts to improve product quality and customer acceptance.
  • Lead evaluation tools development across research, engineering, and operations teams.
  • Define and monitor performance metrics to improve evaluation adoption and effectiveness.
  • Build recommendation systems for optimal task matching on the platform.
  • Balance short-term delivery with long-term platform investments to support growth.

Requirements

  • Location: Must be based in or near San Francisco, CA with hybrid work.
  • 5–7 years product management experience with complex, cross-functional products.
  • Strong technical literacy in ML models, generative AI, LLMs, agentic designs, and quality frameworks.
  • Proven ability to lead technical roadmaps end-to-end and write clear PRDs.
  • Experience with platform-level products and multi-stakeholder environments.
  • Excellent collaboration skills with engineering, research, and operations teams.

Nice to have

  • Experience with agent-based systems, reinforcement learning, and automated workforce platforms.
  • Background in machine learning, data engineering, or related technical fields.
  • Experience leading large cross-team initiatives without formal authority.

Culture & Benefits

  • Work at a rapidly scaling AI startup with market-proven solutions and robust funding.
  • Opportunities to deepen technical expertise and explore leadership roles.
  • Supportive environment for career growth, learning, and shared success.
  • Equal employment opportunity employer committed to diversity and inclusion.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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