SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Hevo Data is a deep-tech company building data infrastructure for AI, trusted by over 2,000 companies across 40+ countries. We are seeking a Technical Recruiter who combines recruiting expertise with genuine technical acumen to build our engineering team.
In this role, you will partner closely with engineering leaders to identify and recruit top talent in backend, frontend, DevOps, and data infrastructure domains. You will evaluate candidates by analyzing their past technical work, contributions, and problem-solving approaches—going far beyond resume screening. Your responsibilities include conducting structured technical conversations to pre-assess candidates, building long-term pipelines of deep-tech engineers, and systematically targeting and engaging passive talent. You will also serve as a brand ambassador for Hevo within the engineering community, delivering an engaging candidate experience and articulating our vision to prospective hires.
This is an opportunity to solve hard talent problems in a competitive market. You'll work shoulder-to-shoulder with our founders and senior engineering leaders, influencing role design, bar-setting, and long-term team structure. You'll play a key role in building Hevo's reputation among senior engineers globally through outreach, positioning, and community presence.
REQUIREMENTS:
- 3–5 years of technical recruiting experience with a focus on senior engineering roles
- Ability to understand engineering depth: you don't need to code, but you should be able to evaluate whether a backend engineer has built for scale, or if a DevOps engineer has automated infrastructure at complexity
- Track record of closing engineering hires at product or deep-tech companies
- Ability to assess candidates beyond resumes by understanding their technical impact and role fit
- Excellent storytelling skills to articulate Hevo's vision to top engineers
- Passion for technology and curiosity to dive into systems design, distributed infrastructure, and cutting-edge data problems
