Senior Technical Recruiter, Normal Computing
$160-200k
+ Offers Equity + Performance-Based Incentives
Generative AI for enterprise
Be an early applicant
Generative AI for enterprise
21-100 employees
Be an early applicant
$160-200k
+ Offers Equity + Performance-Based Incentives
21-100 employees
Company mission
To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
Role
Who you are
- You know how to calibrate fast, keep momentum high, and bring a point of view on the AI/tech talent landscape
- You stay close to where talent lives and bring real insight into every step of the process
- We’re looking for someone who goes beyond traditional recruiting channels
- You know how to find talent in places others overlook - GitHub, research communities, open-source projects, niche forums - and you’re creative and persistent in how you engage them
- You enjoy crafting thoughtful outreach and building targeted sourcing strategies to reach world-class AI/ML talent
- 5+ years of experience in technical sourcing
- A track record of creative sourcing methods to attract and close top talent
- Strong written and verbal communication skills - you can craft outreach that is both technically credible and personally engaging
- Curious and comfortable diving into topics related to AI/ML, deep tech, software engineering, and product to assess talent signals
- Attention to detail and experience using applicant tracking systems (ATS) and other recruiting software to manage candidate pipelines
What the job involves
- As a Senior Technical Recruiter, you will shape the future of our organization by identifying, engaging, and hiring the best and brightest minds
- You’ll partner closely with leadership and hiring managers to accelerate our hiring efforts
- We move quickly but intentionally - focused on a high-signal, high-impact hiring process
- We hire selectively, and we want our new hires to raise the bar
- Craft and execute innovative sourcing strategies to identify and attract top-tier talent across AI/ML, software engineering, product, and other critical technical roles
- Be the first voice candidates hear from us, helping them understand what we’re building and why it matters. Lead initial conversations, assess fit, and thoughtfully guide candidates through the interview process, ensuring a high-quality experience from first outreach through offer
- Build research and talent-mapping practices that give us a strong pipeline for current and future roles. Stay close to the talent market and share insights with hiring teams to inform decisions and sharpen our approach
- Use data to spot what’s working and what needs to level up across the recruiting process—always optimizing for a great candidate and hiring-team experience. Own and evolve the systems and tools that keep our recruiting engine running smoothly
- Partner closely with leadership and hiring managers to inform and stay close on current and future hiring priorities
Our take
As the rate of AI adoption accelerates, Normal Computing sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.
The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.
By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2024
$65.5m
GRANT
Jun 2023
$8.5m
SEED
Total funding: $82.5m
Company HQ
Civic Center, New York, NY
Leadership
Faris Sbahi
(Co-Founder & CEO)Has worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.
Matthias Tan
(Co-founder)Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.
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