Senior Technical Recruiter (AI Insurance SaaS)
About The Position
EvolutionIQ builds AI products that help insurance claims teams handle claims more accurately, fairly, and efficiently. As part of CCC Intelligent Solutions, it combines AI-native product development with proprietary data and relationships with major insurance carriers. The Senior Technical Recruiter / TA Partner owns full-cycle recruiting for complex, high-impact Engineering and AI positions. The role leads searches for Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical talent, partnering closely with Engineering leaders to understand team needs, technical requirements, and hiring priorities. The recruiter uses hands-on sourcing, technical recruiting judgment, and market intelligence to build pipelines and deliver high-quality hires. The position requires independently managing difficult Engineering searches, engaging passive technical candidates, and advising hiring managers on talent profiles, competitive markets, and selection processes. It also involves advising on recruiting strategy, maintaining stakeholder communication, using analytics to improve hiring outcomes, and sharing expertise with other recruiters.
Requirements
- Bachelor’s degree in Human Resources, Business Administration, or a related field.
- At least 5 years of full-cycle recruiting experience, including significant direct ownership of mid-to-senior-level Software Engineering and other technical searches.
- Demonstrated success hiring Senior Software Engineers and related Engineering talent.
- Advanced hands-on technical sourcing skills, 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 an effective recruiting strategy.
- Strong consultative, analytical, communication, and negotiation skills.
- Track record of managing multiple high-priority technical searches.
Nice To Haves
- Experience recruiting AI Engineers, Machine Learning Engineers, or similarly specialized roles.
Responsibilities
- Own full-cycle searches for Engineering and AI roles, including Senior Software Engineers, AI Engineers, Machine Learning Engineers, and other specialized technical positions.
- Partner with Engineering hiring managers to translate technical requirements into candidate profiles, interview plans, and targeted search strategies.
- Lead recruiter screens and assess technical experience, project ownership, problem-solving approach, career motivations, and alignment with role requirements.
- Manage complex searches proactively by identifying bottlenecks, calibrating with interview teams, and maintaining progress on high-priority hiring processes.
- Develop search strategies for hard-to-fill technical roles using talent mapping, competitive intelligence, sourcing data, and knowledge of Engineering talent markets.
- Advise Engineering leaders on candidate availability, compensation expectations, market competition, hiring tradeoffs, and recruiting timelines.
- Work with stakeholders to prioritize openings, distinguish must-have from trainable skills, and refine candidate profiles based on market feedback.
- Use pipeline data, interviewer feedback, and market insights to adjust sourcing and hiring strategies.
- Source and engage passive Engineering talent through LinkedIn Recruiter, GitHub, Boolean/X-ray search, technical communities, referrals, networking, and AI-enabled sourcing tools.
- Build relationships with technical candidates by communicating Engineering challenges, product impact, team environment, and growth opportunities.
- Develop and maintain talent pipelines for Software Engineering, AI/ML, and emerging technical skill sets.
- Build trusted relationships with Engineering leaders, interviewers, HR partners, and other stakeholders to understand organizational goals and evolving technical needs.
- Provide data-driven updates on search progress, pipeline quality, candidate engagement, interview conversion, and risks to hiring goals.
- Influence hiring decisions through structured feedback and thoughtful calibration while supporting a strong candidate and hiring-manager experience.
- Track funnel conversion, sourcing channel effectiveness, time to fill, and offer outcomes, and use findings to improve technical hiring results.
- Partner with Engineering teams to improve interview quality, assessment consistency, candidate communication, and process efficiency.
- Stay current on software engineering and AI/ML hiring trends, recruiting technology, and responsible use of AI tools in recruiting workflows.
- Share technical recruiting expertise, sourcing methods, and stakeholder-management practices with other recruiters.
Benefits
- Annual bonus plan.
- Medical, dental, and vision insurance.
- Short- and long-term disability insurance.
- Life insurance and AD&D.
- 401(k) 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 and happy hours.
- Pet-friendly spaces.
- Monthly technology stipend.
- $1,000 per year for professional development.
- Tuition reimbursement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
