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6 дней назад

Technical Program Manager (AI/Robotics)

150 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Technical Program Manager (AI/Robotics): Owns end-to-end delivery of ego-data datasets for frontier AI labs with an accent on delivery execution, dataset quality, and tooling automation. Focus on building validation and packaging workflows, coordinating cross-functional teams, and using delivery metrics to identify pipeline bottlenecks.

Location: On-site in New York or the Toronto GTA

Salary: $150,000–$200,000 per year total wage range, including base salary and on-target incentives where applicable.

Company

hirify.global builds data infrastructure for robotics and embodied AI, including data capture, labeling, and hardware-enabled workflows for AI labs and robotics companies.

What you will do

  • Own end-to-end delivery programs for high-value ego-data datasets, including schedules, customer specifications, volumes, timelines, and cross-functional accountability.
  • Build and improve scripts, QA checks, packaging and manifest tooling, dashboards, and other delivery automation.
  • Define dataset-readiness standards covering completeness, metadata, taxonomy, formatting, and automated QA gates.
  • Translate AI-lab customer requirements into delivery plans and provide senior communication on scope, status, trade-offs, and escalations.
  • Build reporting for time-to-delivery, dataset volume and yield, QA pass rates, rework, and SLA adherence.

Requirements

  • On-site availability in New York or the Toronto GTA.
  • 2–5+ years of experience as a TPM, technical program or product lead, or data/delivery operations lead.
  • Hands-on experience delivering large, complex datasets or technical deliverables to external customers on time and to specification.
  • Ability to query databases such as SQL or MongoDB and write Python scripts for dataset reshaping, validation, and QA.
  • Experience leading through influence without direct reports and coordinating sales, engineering, data operations, and labeling teams.
  • Experience with workflow and tracking systems such as Jira, Asana, or Linear and with customer-facing technical communication.

Nice to have

  • Experience in ML/AI data, robotics, or another domain involving complex technical deliverables.
  • Experience working in a fast-moving, early-stage environment.

Culture & Benefits

  • Inclusive and supportive candidate experience with accommodations available throughout the interview process.
  • Equal employment opportunity and a workplace free from discrimination, harassment, and retaliation.
  • Total rewards may include equity, health and wellness benefits, and other company programs.
  • AI-assisted recruitment tools are used for administrative support, while evaluations and hiring decisions remain human-led.

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