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3 дня назад

Technical Product Manager (Data/Platform)

245Β 000 - 300Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
c1
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
Technical Product Manager (Data/Platform): Manage and develop data and ontology products that support gigawatt-scale AI compute infrastructure with an accent on building clear data models, driving product direction, and enabling operational leverage. Focus on designing system architecture, shipping impactful products, and applying LLM-era tooling to automate and improve compute production workflows.

Location

Location: New York, NY; Austin, TX; San Francisco, CA; Seattle, WA (On-site)

Salary

Salary: $245,000 – $300,000 per year plus equity

Company

hirify.global builds civilization-scale infrastructure for AI, focusing on delivering gigawatt-scale compute faster than anyone else by designing and operating data centers with integrated hardware and software teams.

What you will do

  • Build and own the ontology modeling compute production end to end, from hardware to operational workflows
  • Consolidate fragmented operational data into a single source of truth for engineers and operators
  • Develop product surfaces that reduce manual handoffs and improve fleet state visibility
  • Apply LLM-era tooling to automate repetitive operational workflows
  • Lead product direction, roadmap, and success metrics for data products serving compute production
  • Collaborate with engineers on technical tradeoffs and ship end-to-end solutions
  • Conduct discovery with stakeholders to validate product impact

Requirements

  • 3+ years of technical product management experience, ideally with data, platform, or ontology products
  • Proven track record of shipping products with measurable impact
  • Ability to reason about system design and engage in technical tradeoffs
  • Strong written communication skills for clear specs and prioritization rationale
  • Comfortable working in ambiguity and structuring unmapped operational domains
  • Bonus: exposure to compute or datacenter operations, infrastructure systems, or LLM-powered applications

Culture & Benefits

  • Extreme ownership and full autonomy with end-to-end responsibility
  • High velocity and fast-paced environment
  • First principles thinking and meritocratic idea evaluation
  • Focus on frontier AI infrastructure as a critical problem space
  • Commitment to pay equity and transparency

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†’