Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026. Hevo Data scores C on the Alion truth index.
About Hevo:
At Hevo Data, we’re building the future of data infrastructure for AI. Over 2,000 companies across 40+ countries trust Hevo to power their analytics. As a deep tech company, our engineering team solves some of the hardest problems in data integration, scale, and reliability. We’re looking for a TechnicalRecruiter who goes beyond keyword matching. We want someone who can understand the technology, assess candidates based on their past technical projects/work, and match them to the role we’re hiring for.
If you can speak the language of engineers and help us identify the very best, let’s talk.
Job Responsibilities:
- Partner with engineering leaders to understand what a great candidate for that role looks like in each technical role.
- Evaluate candidate fitment by reviewing their past work, technical contributions, and problem-solving approaches.
- Conduct structured technical conversations to pre-assess candidates before formal interviews.
- Build and nurture long-term pipelines of deep-tech engineers in Backend, Frontend, DevOps, and Data Infra.
- Apply a systematic approach to target, network and engage with passive talent pools.
- Deliver an engaging candidate experience and be the brand ambassador for Hevo in this community of users.
Desired Candidate Profile:
- 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 infra 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 infra, and cutting-edge data problems.

