People Operations Specialist, Normal Computing
$126-140k
+ Offers Equity
Generative AI for enterprise
Be an early applicant
Generative AI for enterprise
21-100 employees
Be an early applicant
$126-140k
+ Offers Equity
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
- This role requires someone who can manage competing priorities without losing accuracy, and who understands the broader context behind people operations work: what tradeoffs were made, who made them, and why
- Experience: 2-5 years of experience in human resources, people operations, or a related field
- Systems proficiency: Hands-on experience with Sequoia One, Deel, Rippling, or similar HR information systems. Experience with Linear or similar project management tools for tracking and triaging operational requests
- High-volume execution: The core of this role is operational consistency at scale. You can manage competing priorities and maintain attention to detail across all of them
- Communication skills: Clear and concise verbal and written communication, with the ability to collaborate across a diverse set of teams, including technical and business stakeholders, in both virtual and in-person environments
- Process improvement instincts: A track record of identifying ways to optimize workflows over time, whether that means streamlining an onboarding step, improving how requests are triaged, or building a new SOP to meet an emerging need
- Discretion and judgment: Demonstrated ability to handle sensitive and confidential information with care, and to navigate nuanced situations with tact
- Adaptability: Comfortable operating in a fast-moving environment where priorities shift, problems are sometimes open-ended, and the right answer requires thinking through tradeoffs rather than following a script
- Service orientation: You treat every employee interaction as an opportunity to build trust. A commitment to high-touch, responsive support is central to how you work
What the job involves
- We're looking for a People Operations Specialist to own the daily operations engine of Normal's People function
- We're building purpose-built AI for silicon engineering and developing a fundamentally new class of computing hardware to solve the AI energy crisis, and we're hiring across the global startup to match the pace and ambition of that work
- You'll support employees from initial offer through their entire time at Normal, ensuring onboarding runs smoothly, HR systems stay accurate, and employees get fast, reliable answers to their questions
- The work is high-volume, detail-intensive, and foundational to how the company operates as we scale globally
- You'll identify areas where processes create friction and propose practical improvements, not just run existing workflows
- This role reports to the People Operations and Programs Lead
- Own and run onboarding: Manage Normal's onboarding program end to end, ensuring every new hire has a smooth, well-organized experience from offer letter through their first weeks
- This includes onboarding logistics, compliance tasks, and partnering with internal teams to connect new hires with the resources they need
- Maintain data integrity across HR systems: Process and audit a high volume of employee job and data changes in Sequoia and Deel, including new hire setup, terminations, and annual compensation cycles. Keep records accurate and current as the team scales
- Serve as the first point of contact for employee inquiries: Respond to questions related to benefits, enrollments, payroll, company policies, verifications of employment, and other HR topics with a commitment to accuracy, compliance, and a positive employee experience
- Build and improve operational processes: Identify areas where workflows create friction for employees or operators, and design practical solutions. This could range from building SOPs for recurring processes to triaging inbound requests more efficiently to partnering on HRIS process improvements
- Support cross-functional partners: Work with teams across the company to resolve people operations requests efficiently. Use people data to answer questions coming from the business and provide context that helps teams make informed decisions
- Drive automation of workflows: Use AI and operational best practices to automate administrative tasks, improving efficiency and accuracy while maintaining a high-quality employee experience
Our take
As the rate of AI adoption accelerates, Normal Computing is positioning itself to make advanced AI more usable and scalable for enterprises, where ris,, reliability and energy constraints remain major barriers. While generative AI has so far flourished in consumer settings, enterprise use has lagged due to concerns around control, auditability and cost. Normal's approach hopes to unlock these more complex use cases by rethinking how AI systems are built and deployed from the ground up.
At the core of the company's strategy is its Probabilistic AI framework, which gives customers greater control over reliability, adaptivity and auditability when working with private data. This software vision is now being reinforced by a major hardware milestone: the successful tape-out of CN101, the world's first thermodynamic computing chip. By harnessing natural physical dynamics such as stochasticity and noise, CN101 is designed to dramatically improve energy efficiency on AI and scientific workloads, allowing tasks like complex underwriting, probabilistic sampling and large-scale optimization to run faster and within fixed data centre energy budgets.
By tackling both the trust and energy bottlenecks that limit enterprise AI adoption, Normal is expanding its ambition from AI software into next-generation compute infrastructure. With a clear roadmap from CN101 to more advanced chips over the next few years, and substantial funding behind its R&D efforts, the company has the potential to play a meaningful role in shaping how high-performance AI scales in practice.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Mar 2026
$50m
EARLY VC
Nov 2024
$67.3m
GRANT
Total funding: $134.3m
Company HQ
Civic Center, New York, NY
Leadership
Faris Sbahi
(Co-Founder & CEO)Previously 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 & COO)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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