Product Engineer

About Lumen Dynamics At Lumen Dynamics , we believe your job should not only look right on paper but also feel right every day. This isn't just another remote opportunity—it's about finding where you truly belong, no matter where you are. From day one, you're welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you're empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role This isn't a traditional Product Manager role. We're looking for someone who combines strong product thinking with hands-on AI expertise and a commercial mindset. You'll join a fast-moving, AI-first team where everyone is expected to think beyond their job title, take ownership, and focus on delivering measurable outcomes. Working closely with Engineering, Growth, Commercial teams, and end users, you'll shape AI strategy, prototype ideas, validate solutions, and drive product decisions from discovery through to delivery and continuous improvement. Success in this role comes from moving quickly, testing ideas, leveraging AI effectively, and building products that create meaningful impact—not simply shipping features. Responsibilities 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. Requirements Proven experience building AI-powered products, with a strong understanding of prompting architecture, model behaviour, and designing intuitive AI experiences that go beyond simple chatbot implementations. Hands-on technical ability, with the confidence to prototype ideas, run AI evaluations, debug model outputs using AI coding tools, and progressively contribute to a codebase built with Ruby, Ruby on Rails, JavaScript, PostgreSQL, and AWS . While you don't need to be a software engineer, you should be comfortable moving quickly without relying on engineering support for early-stage experimentation. Deep knowledge of Large Language Models (LLMs), including context windows, Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning trade-offs, and robust approaches to measuring model quality. Strong product management experience with a proven ability to own products throughout the entire lifecycle—from discovery and definition through delivery, iteration, and continuous improvement—within B2C and/or B2B environments. Data-d