Senior AI Automation & Data Platform Engineer 

Be Part of Building Something New This is an opportunity to be part of building something from the ground up — not simply developing another website or automation project, but helping create a new generation of AI agent-driven specialist media. Datacenter Focus is being designed as an intelligent editorial and commercial platform for the rapidly growing AI cloud and datacenter ecosystem, where AI agents will power research, content, audience development, data intelligence and commercial opportunity identification. You will have genuine ownership in shaping the technology, architecture and future direction of the platform, with the opportunity to grow alongside it as it scales from an ambitious new media venture into a global specialist intelligence and community business. For the right person, this is a chance to build the engine, shape the product and be part of the journey from day one. Senior AI Automation & Data Platform Engineer — Datacenter Focus About Datacenter Focus Datacenter Focus is a new editorial and intelligence platform focused on the rapidly developing AI cloud and datacenter infrastructure ecosystem. Our core editorial sectors are: Power Cooling Networking AI Data & Storage Hardware Security The website is already built on WordPress using the Gutenberg/FSE block editor. We are now building the AI-powered intelligence, editorial automation, audience growth and commercial engine behind the website. This is an opportunity to build the core technology for a new media/intelligence business rather than simply maintain an existing website. The role We are looking for a senior AI Automation / AI Product Engineer who can design and build an integrated system connecting: OpenAI / ChatGPT Claude Apollo Clay Make and/or n8n Supabase/PostgreSQL WordPress REST API LinkedIn/social distribution Newsletter platform Analytics CRM/commercial workflows You will work directly with the founder and own the technical architecture and implementation. This is a hands-on builder role. We are not looking for someone who simply recommends tools or builds basic Zapier workflows. We need someone who has actually built production-grade AI automation and data workflows. ________________________________________ What we want to build 1. AI Newsroom Build an automated content intelligence pipeline that: monitors relevant industry news and information sources ingests new content identifies relevant stories removes duplicate stories classifies stories by Datacenter Focus topic identifies companies, people, technologies and locations scores editorial relevance researches additional context generates article drafts creates headlines and standfirsts creates SEO metadata creates related-company and related-story relationships places content into a WordPress editorial queue The system must have a human approval stage before publication. ________________________________________ 2. Datacenter Focus company and people database Integrate Apollo and Clay to build and continuously enrich a proprietary database of: Companies Hyperscalers Neoclouds GPU cloud providers Colocation providers Datacenter operators OEMs Infrastructure providers Solution providers Power companies Cooling companies Networking companies Storage companies Hardware companies Security providers Enterprise AI users Consultancies Technology providers People Relevant: CEOs CTOs CIOs CDOs COOs VP Infrastructure VP Cloud VP AI Head of AI Infrastructure Head of Datacenters Head of Engineering Marketing Directors CMOs Communications Directors PR contacts Product executives Initial target: 1,000–2,000 companies 5,000–10,000 people The database should include structured fields for company, person, sector, topic relevance, geography, seniority, role, contact information where legitimately available, Apollo ID, LinkedIn and engagement/commercial scores. ________________________________________ 3. AI classification and intelligence Every company, person and story should be capable of being associated with: Power Cooling Networking AI Data & Storage Hardware Security AI Cloud Datacenter operations Geography Technology Company type Create relevance scores such as: AI infrastructure relevance Datacenter relevance Editorial relevance Commercial relevance Engagement score ________________________________________ 4. Automated WordPress publishing Integrate with the existing WordPress website using the WordPress REST API. Approved AI-generated content should be capable of automatically creating/updating: Posts Categories Tags Featured images SEO metadata where supported Company profiles Related content Author/editorial information The existing WordPress website must remain the front-end publishing platform. Do not rebuild the website unless there is a compelling technical reason. ________________________________________ 5. LinkedIn content automation When an article is approved/published: Extract the key points. Generate a concise executive-level LinkedIn summary. Generate an engaging opening. Include the relevant Datacenter Focus topic. Include the article URL. Generate appropriate hashtags. Queue/schedule the post. The system should retain human approval initially. ________________________________________ 6. Automated newsletter Build an automated weekly newsletter workflow. The AI should analyse the week's content and select: Major stories Important infrastructure developments Companies to watch Executive moves Major datacenter projects Emerging technologies Important power/cooling/networking developments It should then create the newsletter draft and send it to an approval queue. ________________________________________ 7. SEO and organic audience-growth engine Build an AI-driven content intelligence workflow that identifies: emerging topics high-value search opportunities content gaps underperforming pages pages requiring updates related content opportunities internal-link opportunities company/topic pages worth creating evergreen intelligence pages The objective is not mass AI content generation. The objective is to build high-quality topical authority around AI cloud and datacenter infrastructure. The system should be capable of maintaining evergreen intelligence pages such as: AI Datacenter Cooling Companies AI Datacenter Power Companies GPU Cloud Providers AI Networking Companies AI Storage Companies AI Datacenter Operators European AI Datacenters UK AI Datacenters Middle East AI Datacenters ________________________________________ 8. Audience intelligence Integrate website and newsletter analytics into the database where technically and legally appropriate. Build audience scoring based on signals such as: article engagement newsletter engagement topic interest returning visits content consumption LinkedIn engagement where available event participation where available The objective is to identify highly engaged executives and companies. ________________________________________ 9. Commercial Intelligence Agent Build an AI agent that continuously identifies potential commercial opportunities. It should monitor: company announcements new datacenter projects new products funding acquisitions geographic expansion AI infrastructure deployments executive appointments content engagement newsletter engagement website activity It should produce a daily commercial opportunity list. Example: Company: XYZ Signal: New 50MW AI facility Topic: Power Datacenter Focus engagement: High Commercial score: 94/100 Potential opportunity: Sponsored editorial Research report sponsorship Newsletter sponsorship Executive interview Event sponsorship Recommended contacts: CMO VP Marketing Communications Director relevant product executive ________________________________________ 10. Apollo commercial integration The system should be capable of taking a qualified commercial opportunity and identifying relevant contacts through Apollo/Clay. The AI should be capable of: identifying the appropriate decision-maker researching the company identifying relevant recent activity generating a personalised outreach recommendation creating a draft email Outbound campaigns should initially require human approval before Apollo sends them. Apollo should manage approved sequences and follow-ups. ________________________________________ 11. Partner reporting Build an automated partner reporting system. For each commercial partner, generate reports showing: Audience reach engagement geography sector seniority company type Content article views engagement top-performing content topic performance LinkedIn performance newsletter performance Intelligence companies engaging executive engagement geographic interest emerging topics recommended future content The system should eventually be capable of producing a branded Datacenter Focus partner report automatically. ________________________________________ Technical requirements The candidate should have strong practical experience with several of the following: Required OpenAI API Claude API or Anthropic integrations Make and/or n8n REST APIs Webhooks Apollo API Clay PostgreSQL/Supabase WordPress REST API JSON OAuth/API authentication AI/LLM workflow design Data modelling Workflow monitoring Error handling Rate limiting Deduplication Strongly preferred Python JavaScript/TypeScript GitHub Docker serverless/cloud deployment CRM integration email automation analytics APIs SEO automation AI agents structured LLM outputs RAG/vector search web scraping/data ingestion ________________________________________ Important characteristics We are looking for someone who: has built real production systems understands APIs rather than just no-code interfaces can work independently can explain technical decisions clearly understands data architecture understands AI agents and workflow orchestration understands commercial automation can work directly with a non-technical founder documents everything builds systems that another developer can maintain We are not looking for: a junior developer learning AI a chatbot developer someone whose experience is primarily prompt engineering a WordPress-only developer a basic Zapier/Make freelancer someone who wants to build everything manually an agency that proposes a large team when the requirement is initially for one senior builder ________________________________________ Initial project We would like to begin with a defined 8–12 week MVP build. The initial objective is to demonstrate the complete workflow: News discovered → AI classification → Company/person identification → Database → AI editorial draft → Human approval → WordPress publication → LinkedIn summary → Newsletter → Audience intelligence → Commercial opportunity → Apollo contact identification The system should be designed so additional agents and commercial products can be added later. ________________________________________ Deliverables At completion of the initial project: Working AI newsroom Working Apollo/Clay integration Working company/person database Working AI classification system Working WordPress integration Working editorial approval workflow Working LinkedIn content workflow Working newsletter workflow Initial commercial intelligence agent Initial partner reporting capability Technical architecture documentation Workflow documentation Database schema documentation API/integration documentation Source code and workflow ownership transferred to Datacenter Focus All credentials/accounts owned by Datacenter Focus Handover session Commercial terms We are looking for an experienced senior individual on a project basis initially. Please propose: Fixed-price MVP Estimated delivery time Hourly/day rate for subsequent development Availability Relevant previous projects Recommended technology architecture Initial development budget: £5,000–£10,000, depending on experience and proposed scope. We are open to a longer-term relationship if the MVP is successful. ________________________________________ How to apply Do not simply send a generic CV. Please provide: 1. One relevant project Show us an AI automation/data/agent system you have actually built. 2. Architecture Explain in no more than 500 words how you would architect Datacenter Focus. 3. Demonstration Provide a short Loom/video walkthrough of a live automation or AI agent you have built. 4. Technical assessment Rate yourself from 1–5: OpenAI API Claude API Make n8n Apollo Clay Supabase/PostgreSQL WordPress API Python JavaScript/TypeScript AI agents APIs/webhooks data enrichment outbound automation 5. Commercial automation Give one example of how you would use AI to identify a potential Datacenter Focus sponsor and determine who to contact. 6. Cost Provide: fixed MVP price estimated timeline hourly/day rate ongoing availability We are looking for a builder who can take ownership of the system, not somebody who simply follows a list of development tickets.