• Own the system design – you decide how data is modeled, where state lives, how components talk to each other, and how the whole system behaves under load • Design and own our data layer from the ground up – tables and relationships, indexing strategy, and query/load optimization that holds up as data and traffic grow • Design queues, background jobs and long-running workflows that stay correct and reliable under heavy load and partial failure • Make the hard, hard-to-reverse design decisions early – and reason explicitly about the trade-offs behind them • Develop and maintain our web application • Contribute to architecture decisions, the direction of our stack, and the overall product vision • Build robust pipelines for document- & email processing and 3rd-party-integrations that handle volume spikes gracefully • Build and optimize agents for our growing template-library • Extend our RAG / knowledge base system (embeddings, semantic search, reranking) • Operate in an AI-first development setup powered by Claude/Cursor • Manage version control and team collaboration via GitHub

• Own the end-to-end AI product strategy for Zero Gravity Tutor, including prompting architecture, model selection, retrieval (RAG) design, context management, and AI output quality across every subject and learning mode. • Build and continuously improve adaptive AI systems that personalise coaching based on how individual students think, learn, revise, and prepare. • Solve complex AI challenges, including expanding support from objective to subjective subjects, developing scalable evaluation frameworks, and maintaining product quality as the platform grows. • Design, implement, and continuously refine rigorous AI evaluation frameworks to measure model performance, output quality, hallucination rates, and real learning outcomes. • Prototype new AI features by writing code, building proof-of-concepts (POCs), running experiments, and validating ideas before committing engineering resources. • Own the product roadmap by defining priorities, sequencing initiatives, and ensuring the team focuses on the highest-impact opportunities for students and educators. • Establish clear success metrics for every product release, analyse performance, lead post-launch reviews, and foster a culture of rapid experimentation and continuous learning. • Act as the voice of students and teachers by conducting user research, synthesising feedback, and translating insights into meaningful product improvements. • Partner closely with Growth and Commercial teams to design product experiences and engagement loops that support sustainable user acquisition, retention, and business growth. • Shape the product experience for schools and educators, helping solve institutional challenges and creating solutions that support adoption at scale. • Work directly with partner schools and teachers to validate product direction, gather actionable insights, strengthen customer relationships, and influence the product roadmap. • Collaborate with the Commercial team to define how Zero Gravity Tutor is packaged, positioned, and communicated to institutional buyers. • Champion a culture of curiosity, experimentation, testing, and continuous improvement across the product organisation. • Work closely with Engineering to align priorities, remove blockers, accelerate delivery, and maintain a high execution pace. • Contribute to Zero Gravity's broader AI strategy by sharing learnings, best practices, and successful approaches across the wider organisation.

• Architect the systems that capture, enrich, route, and attribute every lead from first pageview to closed-won • Build the AI agents and automations that scale our marketing without scaling headcount • Design end-to-end revenue infrastructure for lead capture, enrichment, routing, and attribution • Own the marketing data infrastructure connecting campaign performance, attribution, and pipeline impact • Implement robust tracking frameworks (server-side tracking, GTM, CAPI) and build dashboards that keep data accurate and actionable • Develop high-performing landing pages (HTML, CSS, JavaScript) • Build and manage complex workflows and cross-platform integrations using Zapier and n8n • Build marketing agents and automations for repetitive, time-sensitive workflows: content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting • Architect publishing systems integrating CMS, data sources, and distribution channels, automating content from creation to distribution • Run disciplined experiments across workflows and distribution strategies,

• Architect the systems that capture, enrich, route, and attribute every lead from first pageview to closed-won • Own the marketing data infrastructure connecting campaign performance, attribution, and pipeline impact • Implement robust tracking frameworks (server-side tracking, GTM, CAPI) and build dashboards that keep data accurate and actionable • Develop high-performing landing pages (HTML, CSS, JavaScript) • Build and manage complex workflows and cross-platform integrations using Zapier and n8n • Build marketing agents and automations for repetitive, time-sensitive workflows: content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting • Architect publishing systems integrating CMS, data sources, and distribution channels, automating content from creation to distribution • Run disciplined experiments across workflows and distribution strategies, then codify what works into repeatable templates and playbooks