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Job Description

EvolutionIQ is hiring a Senior Technical Recruiter / TA Partner to own end-to-end talent acquisition for complex, high-impact Engineering and AI roles. This position is based in New York, NY (onsite) and focuses on sourcing passive candidates, partnering with Engineering leaders, and using recruiting analytics to improve technical hiring outcomes.

Role Overview

Own full-cycle searches for Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical positions. Partner with Engineering hiring managers to translate technical requirements into clear candidate profiles, interview plans, and targeted search strategies, while tracking funnel performance and continuously adjusting approaches based on market feedback.

Key Responsibilities

  • Lead searches end to end for Engineering and AI teams, including Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical positions.
  • Partner with Engineering hiring managers to convert technical requirements into candidate profiles, interview plans, and targeted search strategies.
  • Run recruiter screens and evaluate technical experience, project ownership, problem-solving approach, career motivations, and fit with role requirements.
  • Proactively manage complex searches by identifying bottlenecks, calibrating with interview teams, and maintaining momentum for high-priority processes.
  • Design strategies for hard-to-fill roles using talent mapping, competitive intelligence, sourcing data, and a strong understanding of technical talent markets.
  • Advise Engineering leaders on candidate availability, compensation expectations, market competition, hiring tradeoffs, and realistic recruiting timelines.
  • Collaborate with stakeholders to prioritize openings and align must-have versus trainable skills, refining candidate profiles as market feedback is received.
  • Use pipeline data, interviewer feedback, and market insights to continuously improve sourcing and hiring strategies.
  • Personally source and engage passive talent through LinkedIn Recruiter, GitHub, Boolean/X-ray search, technical communities, referrals, networking, and AI-enabled sourcing tools.
  • Build credible relationships with technical candidates by communicating Engineering challenges, product impact, team environment, and opportunities for growth.
  • Create and maintain talent pipelines for Software Engineering, AI/ML, and emerging technical skill sets to support current and anticipated hiring needs.
  • Develop trusted working relationships with Engineering leaders, interviewers, HR partners, and other stakeholders to understand organizational goals and evolving technical needs.
  • Deliver concise, data-driven updates on search progress, pipeline quality, candidate engagement, interview conversion, and risks to hiring goals.
  • Influence hiring decisions through structured feedback, calibration, and a strong candidate and hiring-manager experience.
  • Track funnel conversion, sourcing channel effectiveness, time to fill, and offer outcomes, then translate findings into actions that improve results.
  • Partner with Engineering teams to improve interview quality, assessment consistency, candidate communication, and overall process efficiency.
  • Stay current on software engineering and AI/ML hiring trends, recruiting technology, and responsible use of AI tools in sourcing and recruiting workflows.
  • Share technical recruiting expertise, sourcing methods, and stakeholder-management practices with other recruiters to strengthen team performance.

Required Qualifications

  • Bachelor’s degree in Human Resources, Business Administration, or a related field.
  • 5+ years of full-cycle recruiting experience, including direct ownership of Software Engineering and other technical searches at the mid-to-senior level.
  • Proven success hiring Senior Software Engineers and related Engineering talent; experience recruiting AI Engineers or Machine Learning Engineers or similarly specialized roles is strongly preferred.
  • Advanced hands-on technical sourcing experience, including Boolean search, LinkedIn Recruiter, GitHub, talent mapping, and proactive outreach to passive candidates.
  • Ability to discuss technical profiles credibly with Engineering leaders, understand common software development and AI/ML concepts, and translate requirements into effective recruiting strategy.
  • Strong consultative, analytical, communication, and negotiation skills, including experience managing multiple high-priority technical searches.

Tools and Technologies

  • LinkedIn Recruiter
  • GitHub
  • Boolean/X-ray search
  • AI-enabled sourcing tools
  • AI tools

Compensation

  • Base salary range up to $125,000 per year, with flexibility based on background and experience.
  • Annual bonus plan included in the compensation package.

Benefits

  • Medical, dental, vision
  • Short & long-term disability
  • Life insurance and AD&D
  • 401k matching
  • Additional family, wellness, and pet benefits
  • Paid time off and sick leave
  • 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
  • Flexible schedule for new parents returning to work
  • Catered lunches
  • Happy hours
  • Pet-friendly spaces
  • Monthly technology stipend
  • $1,000/year for each employee for professional development
  • Opportunities for tuition reimbursement
  • Sponsorship for candidates currently in the U.S. who need to transfer their active visa (confirm with the Recruiting team if applicable)

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