Job description

About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. About the Role: As a Technical Recruiter, you'll play a key role in scaling our engineering organization by attracting and hiring exceptional technical talent. You'll recruit across a wide range of roles, including Software Engineers, Machine Learning Engineers, AI Engineers, and other specialized technical positions. You'll partner closely with engineering leaders and hiring managers to understand their needs, develop creative sourcing strategies, and deliver an exceptional candidate experience. This is an exciting opportunity to help build high-performing teams working at the forefront of building AI products for the Insurance space. Requirements: 4+ years of technical recruiting experience preferably in startup/scaleup environments ATS proficient and savvy in other systems (LinkedIn Recruiter, G-Suite, Slack, etc). Workday experience is a plus. Pitch and sell candidates on the opportunity. Work directly with hiring managers. Expertise writing compelling sourcing messages and attracting passive candidates Enthusiastic / positive outlook, and a high motor to come in be extremely productive while working independently with team and management support Ability to work out on our NYC or Chicago office a couple days/week preferred Responsibilities : Participate in weekly recruiting meetings with hiring managers and stakeholders that demonstrate quantifiable progress in filling roles Conduct ~5 technical candidate interviews each day Strategically source 50-100+ candidates per week with the goal of achieving a 20%+ response rate Utilize resources at your disposal such as: job ads, sourcing tools and LinkedIn Recruiter to build a pipeline of amazing talent Perks: Competitive hourly wage (~$60/hour with flexibility based on exp) as a 1099 contractor Ability to work hybrid from our NYC or Chicago office and at home Contract length will be 3 months to start with potential to be extended Opportunity to gain experience at a rapidly growing tech company in the AI / Insurtech space! EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Requirements

Must-haves

4+ years of technical recruiting experience preferably in startup/scaleup environments
Pitch and sell candidates on the opportunity. Work directly with hiring managers.
Expertise writing compelling sourcing messages and attracting passive candidates
Enthusiastic / positive outlook, and a high motor to come in be extremely productive while working independently with team and management support
Participate in weekly recruiting meetings with hiring managers and stakeholders that demonstrate quantifiable progress in filling roles
Conduct ~5 technical candidate interviews each day
Strategically source 50-100+ candidates per week with the goal of achieving a 20%+ response rate
Utilize resources at your disposal such as: job ads, sourcing tools and LinkedIn Recruiter to build a pipeline of amazing talent

Nice-to-haves

ATS proficient and savvy in other systems (LinkedIn Recruiter, G-Suite, Slack, etc). Workday experience is a plus.
Ability to work out on our NYC or Chicago office a couple days/week preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: greenhouse
Effort: quick