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Higgsfield AI

Tech Recruiter (Data)

Reposted 4 Days Ago
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In-Office or Remote
Hiring Remotely in Greece
Mid level
In-Office or Remote
Hiring Remotely in Greece
Mid level
Own full-cycle recruiting for data teams (Data Engineering, Data Science, Analytics, Data Platform). Partner with hiring managers to define roles, source and screen candidates, manage communications through offers, build talent maps, advise on compensation and market conditions, and maintain accurate pipeline documentation.
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Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.

About the role:

We are looking for a Tech Recruiter to own hiring across our data organization, including Data Engineering, Analytics Engineering, Data Science, and related data platform roles.

You will manage the full recruiting lifecycle, partner closely with technical hiring managers, and build strong pipelines of senior data professionals who can operate in a fast-growing, product-focused environment.

What you'll do:
  • Own full-cycle recruiting for Data Engineering, Data Science, Analytics, and Data Platform roles.

  • Partner with hiring managers to define role requirements, candidate profiles, and interview processes.

  • Build targeted sourcing strategies and talent maps for priority searches.

  • Screen candidates for technical relevance, seniority, motivation, and business impact.

  • Manage candidate communication from initial outreach through offer and closing.

  • Advise hiring teams on talent availability, compensation, and market conditions.

  • Keep pipeline data, documentation, and role context accurate and up to date.

Requirements:
  • 4+ years of technical recruiting experience.

  • Experience hiring Data Engineers, Data Scientists, Analytics Engineers, or related technical talent.

  • Understanding of modern data teams, infrastructure, pipelines, analytics, and production data systems.

  • Strong sourcing, screening, candidate management, and closing skills.

  • Ability to partner effectively with technical hiring managers.

  • Excellent written and verbal Russian.

  • Excellent written and verbal English.

Nice to have:
  • Experience hiring for AI, ML, consumer technology, or high-growth startups.

  • Familiarity with data warehouses, distributed systems, experimentation, recommendation systems, or analytics platforms.

  • Experience recruiting senior individual contributors and technical leaders.

  • Experience using Ashby, LinkedIn Recruiter, GitHub, or technical communities for sourcing.

Success in 6 months:
  • Build consistent pipelines for priority data roles.

  • Develop repeatable sourcing strategies and talent maps.

  • Earn the trust of hiring managers as a strong recruiting partner.

  • Maintain an organized and well-documented recruiting process.

  • Close several high-priority hires or build strong late-stage pipelines.

What We Offer:

  • Competitive base salary in USD, based on your experience, skills, location, and the scope of the role.

  • Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield AI’s long-term growth.

  • A fully remote work environment, allowing you to work from an eligible location.

  • The opportunity to work with an ambitious international team on products used by customers around the world.

  • Significant ownership, direct impact, and opportunities for professional growth as the company scales.

This is a fully remote role that requires occasional business travel to our office in Almaty, Kazakhstan. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. Although we work remotely, we value active communication, responsiveness, and close collaboration across teams.

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