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2 дня назад

Head of Technical Program Management for Applied AI

191 000 - 250 000$
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
UK/US/Germany
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
Head of Technical Program Management for Applied AI (AI delivery and program operations): Owns execution, customer outcomes, and delivery excellence across multilingual and multimodal training data, evaluations, and benchmark programs with an accent on scaling teams, capacity planning, quality systems, and customer SLAs. Focus on building the delivery operating system, managing AI-specific operational risks, and translating complex research requirements into reliable production workflows.

Location: Remote; USA, including Boston, MA, New York, NY, San Francisco, CA, and other US locations; London, UK; Berlin, Germany.

Salary: US Tier 1 $225K–$250K; US Tier 2 $198K–$220K; US Tier 3 $191K–$212.5K; London £123K–£137K; Berlin €126K–€140K. Equity offered.

Company

hirify.global is an AI and machine learning company building translation and human-in-the-loop systems for enterprise content and global communication.

What you will do

  • Own customer outcomes, technical delivery, timelines, quality SLAs, margins, and satisfaction across Applied AI programs.
  • Recruit, mentor, and scale Technical Program Managers, project managers, and distributed expert and vendor workforces.
  • Lead capacity planning, staffing, resource allocation, delivery forecasting, and high-volume operational execution.
  • Build standardized intake, scoping, kickoff, quality control, reporting, close-out, playbooks, systems, processes, and dashboards.
  • Partner with frontier AI labs, research leads, Sales, Engineering, Product, Production, and Operations on scope, pricing, escalations, and delivery workflows.
  • Establish quality systems for multilingual and multimodal data, including calibration, gold sets, inter-annotator agreement, LLM-as-a-judge evaluation, model evaluation pipelines, and root-cause analysis.

Requirements

  • 10+ years in delivery, operations, or program leadership, including 5+ years managing managers or multi-team delivery organizations.
  • Proven ownership of a large, customer-facing delivery portfolio with accountability for SLAs, quality, margin, and customer outcomes.
  • 5+ years of direct people management experience building and scaling TPM, Product, or Engineering teams in high-growth AI or enterprise technology environments.
  • Hands-on understanding of LLMs, multimodal models, training and inference pipelines, and multilingual and multi-domain datasets.
  • Hands-on experience delivering AI training data, human data, LLM evaluation, annotation, or localization programs at scale with distributed contributors or vendors.
  • Experience building technical program functions, operating systems, processes, and systems from scratch, then scaling them in high-velocity environments.
  • Experience managing AI-specific operational risks such as dataset contamination, domain drift, quality decay, and SLA vulnerabilities.
  • Strong data fluency with SQL, spreadsheets, or BI tools for throughput, quality, cost-per-task, and utilization metrics.
  • Excellent business acumen, executive presence, communication skills, and experience building high-trust partnerships with AI labs, customers, and enterprise executives.
  • B.S. or M.S. in Computer Science, AI, or a related technical field with 12+ years of industry experience, or a Ph.D. with 8+ years.

Nice to have

  • Experience at an AI data, human data, or language services company, or delivering for frontier AI labs.
  • Experience leading globally distributed teams across time zones.
  • Familiarity with Python and program tooling such as Linear, Jira, or custom analytics for reporting and workflow automation.
  • Fluency in multiple human languages.

Culture & Benefits

  • Competitive salary, equity, and benefits package.
  • Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
  • Dynamic and collaborative work environment.
  • Professional growth and development opportunities.
  • Opportunity to contribute to global communication and business.

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