Cofounder and CMO

Job Title: Co-Founder & Chief Marketing Officer (SI/AI Infrastructure ) Location: [UK / Remote] Employment Type: Executive / Co-Founder (Part-Time or Full-Time) Compensation: Significant Co-Founder Equity Stake / Pre-Funding Revenue Share We are an early-stage startup seeking a passionate Co-Founder. We have a clear vision for growth but today this role is strictly compensation via significant equity and/or revenue share. There is no base salary at this stage but later that should change. Standard market compensation and benefits will be triggered upon securing our seed round or hitting key revenue milestones. Why Join Us? (What We Bring to the Table) Building an SI/AI startup requires deep technical credibility and market validation. You won't be starting from scratch—you'll be partnering with a proven technical founder to commercialize a robust AI engine:

• Deep AI & Technical Expertise: Led by a founder with doctoral-level research in Reinforcement Learning, experience in RAG models, python, APIs, and cloud infrastructure, plus a history in NLP and financial optimization, and a lot work done with Hugging Face models, GPUs, SGLang, Caching.
• Vetted & Accelerated: Graduated through AI Forge (incubator) for a related project in AI and Fintech (selected top 12 out of 460 startups), providing a validated base and a warm network of investor connections ready for when we launch.
• Current Testing Verticals: We are currently validating and testing our Inference-as-a-Service model across specific high-value sectors, including LawTech, HRTech, and TravelTech (while remaining agile to expand based on market pull).
• Flexibility: We are flexibile about specifics in a market which is quick as the current AI sectors are today. Our Vision We want to add real value in a very quick sector. Many clients today face challenges with high costs and complex integrations. This is one of the sectors we intend to improve. The emerging inference-as-a-service models allow cost reductions, increased privacy, and increased ownership (essential in sectors such as Lawtech). Also in critical sectors such as medTech, the privacy aspects outweigh costs and this also points to local/owned processing vs a simple API integration. What We Are Looking For in a Co-Founder We seek a commercially-minded marketing co-founder who understands the fast-moving AI landscape and can own the go-to-market strategy end-to-end. Key Requirements & Skills:
• AI Landscape Awareness: Significant knowledge of current AI trends, client demands, and emerging trends.
• Go-To-Market Execution: Hands-on experience driving user acquisition using tools like HubSpot, running targeted campaigns across LinkedIn, X.com, and Facebook, and building cold email/outreach pipelines.
• Network & Domain Access: Existing contacts across tech media, domain experts, or B2B SaaS buyer networks is a massive plus.
• Strategic Growth: Ability to leverage commercial LLM tools (Claude, GPT, Gemini) to research market gaps, analyze competitor positioning, and streamline lead generation workflows; and brainstorming. Your Responsibilities
• Co-own the commercial vision, value proposition, and customer acquisition channels.
• Build and manage outreach campaigns, waiting lists, and beta customer pipelines for LawTech, HRTech, or TravelTech segments.
• Establish brand presence across key channels (LinkedIn, X.com, tech media, and developer hubs).
• Prepare commercial metrics, go-to-market slides, and buyer personas for upcoming investor pitch cycles. Compensation & Terms
• Co-Founder Equity: Generous, standard-vesting equity stake commensurate with co-founder status.
• Revenue Share: Agreed percentage of initial customer contract revenues generated prior to funding.
• Future Salary: Competitive salary package triggered immediately upon equity financing or target monthly recurring revenue (MRR). How to Apply If you are passionate about the AI ecosystem, understand the trends in AI, and want to get involved, send your details as follows: Your background in startup marketing or B2B customer acquisition. Which tools or channels (e.g., LinkedIn, HubSpot, X) you have used to scale early-stage ideas. Why the AI infrastructure and SI/AI space interests you.