Zubiao Jiang

Product Operations & AI Delivery | Founder of AIDEMAIN Ltd | Consumer AI Hardware & Launch Readiness

Zubiao Jiang is a London-based product operations and AI-delivery candidate whose story is best understood as a progression from founder behaviour, to commercial technology work, to pre-launch product ownership, and now to consumer-AI hardware/software.

His earliest founder evidence came at Guangxi University, where he became the registered legal representative of Nanning Tiger Translation Co., Ltd. He personally handled company registration and helped operate a small but real translation venture with paid projects across medical courseware translation, Vietnamese merchant interpretation and student document translation. The company generated only around 3,000 RMB, but the important signal was ownership: he treated the project as a real business while many others treated it as a university competition.

He later moved to King's College London for an MA in Digital Culture & Society, where his work began to crystallise around HCI, VR, AI and how technology fits into human life. His dissertation on VR mechanics and incorporation became the conceptual seed of his current consumer-AI hardware direction. Other MA work included HCI research, a consumer-app monetisation project, a web-technology project, design fiction about XR wearables and AI companionship, and critical analysis of digital surveillance and gamification.

Professionally, BT gave him the commercial and operational base. In Media & Broadcast, he supported BBC bid work and helped recover over £400k through a four-person revenue-assurance effort. In BT International, he managed technology-partner relationships across a 15+ partner portfolio. In Corporate & Public Sector, he supported major retail and charity accounts, including M&S bid coordination, high-street store visits and an automotive vertical-market report. His current BT Business role is the most product-adjacent: he manages trials that decide whether products are ready to launch, including a defended No-Go on a £2.72M product.

AIDEMAIN brings the story together. It gives him a live founder vehicle in consumer AI hardware/software, a physical MVP, product assets, Figma designs and a practical AI-agent delivery workflow. The combined profile is not a traditional PM route, but it is coherent: founder ownership, customer research, technology delivery, product readiness, AI tooling and commercial judgement.

Founder of AIDEMAIN Ltd, a UK-registered consumer-AI hardware/software company building AiDE ONE. I own the product direction, user problem framing, positioning, roadmap and commercial model. Current recruiter-visible evidence includes the website, physical MVP, hardware demo, video, pictures, 3D model, Figma designs and selected voice-transcript material where appropriate. Built and integrated the company website and payments flow using React, Supabase, Stripe and REST APIs by directing AI coding agents. My role is not deep hand-engineering; it is product judgement, technical translation, acceptance testing and turning product intent into usable systems with AI-assisted tooling.

Pre-launch product operations role for BT Business security and cloud products. I run product trials before launch, translating customer and agent journeys into governed Jira scenarios, acceptance checks, defect triage and launch-readiness evidence. Across seven programmes, I built and governed 183 Jira trial scenarios and coordinated Product, Digital, Sales, Service and supplier stakeholders. Key example: owned the McAfee Business Antivirus Protection trial from setup through exit, surfaced severe P1/P2 defects, and contributed to an evidence-based No-Go on a £2.72M product by walking Product and Commercial owners through customer impact and revenue risk. Also became the team's go-to Jira expert, building dashboards, configuring fields and running demos to improve team adoption of Jira and AI-enabled workflows.

BT Business graduate/account-management rotations across Media & Broadcast, global technology partnerships, and Corporate & Public Sector accounts. Highlights: • Managed relationships across a 15+ technology-partner portfolio. Interview-safe examples: Westcon, Digital Realty, Ribbon Network, CrowdStrike, Rackspace, Zscaler, Cisco and Cisco Meraki. • Completed £400k+ of orders, supported a £600k quote for a major financial customer, and contributed around £6M pipeline across 40 accounts. • Helped recover over £400k through a four-person Media & Broadcast revenue-assurance effort. • Supported BBC bid sections for Wimbledon and World Service. • Built an automotive vertical-market report identifying new revenue routes for BT in EV infrastructure, dealerships, connectivity and cybersecurity. • Supported an M&S Security & Network Transformation bid and introduced AI tools into bid/reporting workflows.

High-volume consumer digital-sales role. Ran roughly 100-200 outbound calls per day, building early discipline in customer qualification, objection handling, conversion, CRM hygiene and clear customer communication.

Co-founded and legally represented a registered translation company during university. Personally handled company registration, stamps and permits, and helped operate real paid projects across medical courseware translation, Vietnamese merchant interpretation and student document translation. Total revenue was small, around 3,000 RMB, but the experience was a formative ownership lesson: customer acquisition, founder commitment, team motivation and operating a real service business.

Core pitch: founder of a consumer-AI hardware/software venture, product-operations manager at BT Business, and commercially trained technology partner/account manager.

Most defensible numbers: 183 Jira scenarios, 7 product trials, £2.72M product No-Go, 15+ technology partners, £400k+ orders, £600k quote, ~£6M pipeline, £400k+ revenue recovered, 500+ prospects part-qualified, 100-200 calls/day at Home Made.

Honest technical framing: builds by directing AI coding agents; strong in product intent, prompt-to-build workflows, acceptance testing, API/product integration and stakeholder translation; do not over-claim deep hand-engineering or ML engineering.

Best role lane: product operations, AI product delivery, launch readiness, internal tools, associate PM, consumer AI/hardware, and technology partner/account roles at product-led companies.