Higgsfield AI

Tech Recruiter - Data Organization

Higgsfield AI

Remote · Full Time

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Experience
4+ yrs
Salary
Openings
1
Posted
1 day ago
Work mode
Work from home
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Job description

About Higgsfield AI

Higgsfield AI ranks as the fastest-growing generative AI enterprise globally, achieving $500 million in annual revenue run rate and serving over 25 million users worldwide with 6 million daily generations. Our clients include 390 Fortune 500 companies. We innovate at the cutting edge of AI-driven video production and advanced creative technologies. Joining our team means being part of an influential group shaping groundbreaking AI-native experiences in a rapidly evolving environment.

Role Overview

We seek a dedicated Tech Recruiter to lead hiring processes for our data division, covering Data Engineering, Analytics Engineering, Data Science, and related data platform positions. You will oversee the entire recruitment lifecycle, collaborate closely with technical hiring leaders, and establish a robust pipeline of senior data professionals capable of thriving in our fast-paced and product-focused culture.

Key Responsibilities

  • Manage end-to-end recruiting for roles in Data Engineering, Data Science, Analytics, and Data Platforms.
  • Collaborate with hiring managers to determine role specifications, candidate profiles, and interview procedures.
  • Design and implement focused sourcing strategies and talent mapping for priority positions.
  • Evaluate candidates for technical aptitude, experience level, motivation, and potential business contributions.
  • Handle candidate communications from initial contact through offer acceptance and closing.
  • Advise hiring teams on talent availability, competitive compensation, and market trends.
  • Maintain accurate pipeline data, recruitment documentation, and role information.

Required Qualifications

  • Minimum four years of experience in technical recruiting.
  • Proven background hiring Data Engineers, Data Scientists, Analytics Engineers, or similar technical professionals.
  • In-depth understanding of modern data teams, infrastructures, data pipelines, analytics, and production data environments.
  • Strong abilities in candidate sourcing, screening, engagement, and closing hires.
  • Proficiency in collaborating effectively with technical hiring managers.
  • Excellent command of both written and spoken Russian and English.

Preferred Skills and Experience

  • Previous recruitment experience within AI, machine learning, consumer tech, or high-growth startup environments.
  • Familiarity with data warehouses, distributed systems, experimentation platforms, recommendation engines, or analytics systems.
  • Experience recruiting senior-level individual contributors and technical leaders.
  • Background using sourcing tools such as Ashby, LinkedIn Recruiter, GitHub, or engagement in technical communities.

Success Metrics within Six Months

  • Establish steady candidate pipelines for key data roles.
  • Develop effective, repeatable sourcing strategies and comprehensive talent maps.
  • Gain trust and recognition from hiring managers as a valued recruiting partner.
  • Maintain organized and well-documented recruitment workflows.
  • Complete several critical hires or build strong candidates pools at late stages.

Offerings and Benefits

  • Competitive base salary paid in USD, commensurate with experience, skills, location, and job scope.
  • Participation in company equity through a stock option program, enabling sharing in long-term company growth.
  • Fully remote work setup with requirement for occasional business trips to Almaty, Kazakhstan office.
  • Opportunity to collaborate with a motivated international team producing products for global customers.
  • High degree of ownership, direct impact, and substantial professional development prospects as the company expands.

Additional Information

This entirely remote role demands periodic visits to the Almaty office and necessitates availability overlapping with the respective team time zones. Even with remote work, active communication, responsiveness, and collaborative engagement across teams remain critical.

How they work

Communication Teamwork & Collaboration Organisation

Languages

English Russian

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