Content Strategist, Normal Computing
$140-236k
+ Equity
More information about location
Generative AI for enterprise
Be an early applicant
Generative AI for enterprise
21-100 employees
Be an early applicant
$140-236k
+ Equity
More information about location
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
- 5+ years in communications, content strategy, technical writing, science journalism, or a related field, or equivalent experience. Journalists from scientific publications and PhDs who write clearly about their field are strong candidates here
- Exceptional original writing and editing, with a portfolio of shipped work you drafted and can speak to in depth
- Technical acumen and curiosity: you learn new domains quickly, earn credibility with the engineers you work with, understand the mechanism before you write the sentence about it, and contribute thinking while you ramp
- A track record of driving multi-stakeholder deliverables to publication against hard external deadlines, with the instincts to run workbacks, sequence busy reviewers, and escalate early
- Comfort engaging on design: you think about communications artifacts holistically, from the argument to the visual presentation, and partner closely with brand design
- Meticulous attention to detail and strong judgment with confidential information
- Low ego and high agency: you solve problems wherever you find them, whatever your role or level
What the job involves
- We are hiring a Content Strategist to partner on how Normal communicates its products and mission
- Communications at Normal is core to the business: telling the story well is how we attract the best people, reach the customers and partners who grow the company, and express the mission to press and world leaders
- You will embed with our product, engineering, and research teams, a standing participant in their product and roadmap discussions, and turn frontier work into content that ships
- Few communications roles offer this depth and breadth
- Solving the AI energy crisis is a challenging and multifaceted story to tell, and most of its defining pieces have not been written yet
- You will write them. Normal is naming computing categories that have not existed before, and until the words exist, the category doesn't
- The work is demanding, and that is also the draw: you will learn physics, silicon, and AI from the people inventing them, and grow faster for it
- Sometimes you will draft from a blank page, and sometimes you will polish, finish, or partner with contributors to bring a piece to publication
- In every case you own the outcome: taking content to near-complete, gathering final input from the right reviewers, and shipping it, every piece connected to our canonical language and approved claims
- Whoever started the piece, it comes out sharper for having passed through your hands
- You will work closely with the Head of Communications on editorial strategy and priorities, while owning the drafting, production, and publishing volume that keeps the cadence of content steady
- The partnership comes with context on the business, the brand, and the audiences we serve, and context and feedback that compound into the work
- The core of the role is creativity and critical thinking: holding the pen on original content, bringing a clear strategy to every piece you ship, and drawing the same originality out of the engineers and leaders you partner with
- Being generative alongside AI is now part of the craft: the tools accelerate the work and keep it consistent, while judgment, taste, and access to what only this team knows stay scarce, and those are what you add
- The work runs on internalized understanding
- Ask questions until you understand how something actually works, then write from that understanding in Normal's voice, and the experts should recognize their work in the final piece without needing to rewrite it
- On any given day, you might draft a blog post on thermodynamic computing with our Chief Scientist, build a conference talk alongside the speaker who will deliver it, run the workback for a conference submission, prepare a briefing document for a media interview, or ship the social post that announces a new hire
- Draft and ship external content. Produce website copy, thought leadership blog posts, product content, social posts, press materials, video scripts, and careers and recruiting copy that carry Normal's mission and products to audiences ranging from verification engineers to semiconductor executives, investors, and policymakers
- Develop technical narratives. Produce whitepapers, product briefs, proposal content, and technical explainers in collaboration with engineers and researchers, translating work in thermodynamic computing and AI-accelerated silicon engineering into precise narratives
- Generalities and hype don't survive contact with these readers. For deeply technical content, the experts own the substance; you shepherd it, shaping the narrative and running the program that gets it shipped
- Own brand and message consistency. Ensure the claims we publish are accurate, substantiated, and consistent with approved company language across every surface where the company speaks, and maintain the canonical language sources as our positioning evolves
- Support external engagements. Partner with speakers to build their talks, preparing keynote narratives, slide decks, talking points, and briefing documents for conferences, media interviews, executive briefings, and partner meetings, and execute on event days: briefing the speaker on site, coordinating in real time with the team, and shipping same-day social coverage
- Drive editorial work to publication. Build workback plans from hard external deadlines, sequence and book reviewers in advance, keep stakeholders updated as work moves, and escalate early when it doesn't. Coordinate content across Product, Engineering, and GTM, and manage external partners including PR agencies and designers
- Elevate internal communications. Partner with company leaders on content for all-hands and companywide moments, and produce internal communications that keep a global team informed and aligned
- Editorial partnership. Work with engineers, researchers, and leaders on the content they originate, strengthening the argument and bringing consistency of voice and a unified quality bar to everything Normal publishes, and advise our thought leaders on where and how to share their most important messages, drafting in their voices when the moment calls for it
- Contribute to content strategy. Surface content opportunities, propose new formats and series, and bring pattern recognition from your work with engineers, audiences, and events into the team's editorial planning
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
$67.6m
GRANT
Total funding: $134.6m
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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