Product Engineer (Remote, Full-Time) [AS263]

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-driven decision-making skills, with experience using analytics platforms such as Metabase, Mixpanel, Google Analytics , or similar tools to define success metrics, measure outcomes, and inform product decisions from the outset.
• Excellent communication and stakeholder management skills, with the ability to align engineers, commercial teams, and executive leadership around a clear product vision while thriving in a fast-paced, low-process environment.
• A passion for creating meaningful impact, with a strong focus on outcomes over outputs and a genuine desire to build products that positively change students' life opportunities.

Nice to Have

• Experience in EdTech , consumer subscription products , or B2B SaaS with an end-user product component.
• Familiarity with the UK education sector , including exam boards, curriculum structures, and how schools evaluate and adopt software.
• Experience scaling a product from early traction through growth , with an understanding of the challenges of the "messy middle."
• Experience partnering closely with Growth teams , with a strong understanding of how product and growth work together to drive adoption and retention.
• Experience working in a 20–50 person company , where cross-functional collaboration, adaptability, and ownership beyond your job title are part of everyday work.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Real work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That Matters: Mentorship, community, and forums where ideas are shared
• True Belonging: A long-term career where your contributions are valued