Media & PR Lead, Normal Computing
$193.6-215.1k
Generative AI for enterprise
Open for applications
Generative AI for enterprise
21-100 employees
Open for applications
$193.6-215.1k
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
- Experience: Substantial experience in media relations, PR or journalism, with work in deep tech, semiconductors, AI infrastructure or adjacent industries. Relevant experience may come from an agency, a newsroom or a company; show us the stories, programs and relationships you personally developed
- Story and pitch judgment: You can recognize a strong story, develop an original angle and write tailored pitches that earn attention. You understand the editorial interests of the people you approach
- Program ownership: You have run complex announcements involving leaders and multiple organizations. You can build the plan, develop the materials, coordinate reviews and deliver under external deadlines, while keeping strategic decisions and dependencies clear
- Technical curiosity: You learn unfamiliar domains quickly, ask useful questions and earn credibility with engineers and researchers. You can explain why a technical result matters while preserving the qualifications that make it accurate
- Opportunity judgment: You can assess the relative value of an interview, public talk, panel or alternative media appearance, and explain your recommendation in terms of audience, impact and the time required
- Relationship building: You build productive relationships with journalists, independent media, event organizers and external communications teams. You can navigate competing priorities and sensitive information while keeping joint work moving
- Original writing: Strong work across press releases, contributed articles, speaker proposals and briefing materials. You draw substance out of experts, bring your own thinking and take drafts to near-complete before final review
- Spokesperson development and voice: You have prepared leaders for public engagements and helped new voices build confidence and a distinct point of view. You can write in another person's voice, drawing out their thinking and retaining the substance of their argument
- Travel readiness: Willingness to travel up to 25% of the time for team meetings, industry conferences, and media engagements as needed
What the job involves
- We are hiring a Media & PR Lead to develop the public story of Normal Inference Systems. You will bring the science, engineering and performance of an unfamiliar computing architecture into the public conversation about AI infrastructure and energy
- Working with researchers and engineers, you will learn the science behind the systems and develop original angles for technical media and broader technology, business and policy audiences
- Through earned media, alternative media and speaking, you will open opportunities for voices across the company. Alongside the hardware, our team communicates Normal's frontier applied AI research program, which develops AI methods for silicon design and verification
- Reporting to the Head of Communications, you will own media relationships and PR programs, including major announcements, speaking opportunities and partner work. You will carry the public story that colleagues in editorial, technical writing and product marketing develop, and work with social and creative production to plan coverage and amplification around each announcement
- Build media relationships: Develop angles and sustained relationships across technical trades, mainstream media and selected analysts. Write tailored pitches, manage incoming requests and own outreach through publication, maintaining an active story pipeline between major announcements
- Secure public engagements: Build and prioritize a pipeline across independent media, podcasts, high-profile public talks, panels and industry forums. Match opportunities to expertise across the company and cultivate hosts and organizers. Develop speaker proposals and recognition nominations, and manage engagements through preparation and delivery
- Develop spokespeople: Develop public voices and open opportunities for executives, engineers and researchers with distinct expertise and points of view. Prepare them for interviews, talks and analyst briefings, working with colleagues on narratives, remarks and supporting materials
- Run major announcements: Lead the PR and public-communications programs for product, research, financing, partnership and company milestone announcements, from planning through launch and follow-up. Develop messaging with the Head of Communications and leadership, craft press releases, and manage stakeholder coordination, approvals, pitching, briefings and embargoes
- Lead partner PR: Develop joint stories and announcement programs grounded in the work and results. Coordinate with partner communications and investor PR teams on messaging, timing, approvals, outreach and amplification
- Prioritize opportunities: Recommend where to invest across media, speaking and recognition based on audience fit, business relevance, likely impact and leadership time. Follow industry narratives and competitor coverage, using results and coverage quality to improve priorities
- Prepare press materials: Write media kits, briefings, Q&A and contributed pieces with leaders and technical experts. Anticipate difficult questions and misinterpretations, preparing responses with the Head of Communications and relevant experts. Coordinate with colleagues to have editorial, technical and visual collateral reviewed and ready ahead of major PR pushes
- Plan amplification: Develop remarks and executive posts tied to media, speaking and company milestones. Work with social and creative production early on content before and after public engagements and around media coverage, coordinating publication timing and follow-up
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
$67.1m
GRANT
Total funding: $134.1m
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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