Senior Project Manager, AIFT Enterprise

AIFT Enterprise is building next-generation B2B / enterprise security and safety products, including Vulcan and Cymetrics, combining AI-driven and traditional security technologies.

We are looking for a Senior Project Manager with strong experience in software project management, data curation workflows, and cross-regional localization operations. This role is critical to ensuring high-quality localized data that directly supports ML model training, evaluation, and benchmarking.

You will work at the intersection of product, AI/ML, engineering, and localization teams, owning delivery quality, execution excellence, and risk management in a fast-moving startup environment.

Learn more about us 👉

• Vulcan product: https://vulcanlab.ai/
• Vulcan LinkedIn: https://www.linkedin.com/company/vulcanlab-ai/
• AIFT group: https://aift.io/

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How to apply

It will help us process your applications faster through https://job-boards.greenhouse.io/aift/jobs/5749640004

*Please apply with English CV, thank you.

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What you'll do

• Manage end-to-end software, data curation, and localization projects for AI/ML use cases.
• Lead and coordinate a localization team, including task planning, assignment, and progress tracking.
• Define and enforce quality standards to ensure localized data is suitable for model training and evaluation.
• Create onboarding materials and guidelines to enable localization contributors to deliver consistent, high-quality output.
• Communicate clearly with cross-functional stakeholders across regions and time zones.

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• 5+ years of experience in software project management; experience with data curation or ML-related projects is a strong plus.
• Ability to understand and explain data curation and basic ML concepts to non-technical contributors.
• Strong experience in quality assurance, risk management, and project tracking.
• Excellent English communication and documentation skills.
• Comfortable working in a fast-moving startup with ambiguity and rapid iteration.

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Plus (Nice to Have)

• Experience leading localization or translation teams.
• Experience with enterprise SaaS or AI/ML products.
• Additional language proficiency (e.g., Korean, Japanese, Arabic, SEA languages).

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• Phone interview: 1 hour meet with HR
• Onsite Interview (2-3 hours):
  • 2-2.5 hours meet with our team and hiring managers
  • 0.5 hour meet with HR