5 часов назад
AI Product Associate
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Associate (LLM/n8n): Building scalable internal tools, user-facing experiences, and automated workflows at the intersection of AI systems and product design with an accent on MVP scoping, LLM APIs, and product experimentation. Focus on designing user flows and edge cases, analyzing product performance, and continuously improving AI-powered product workflows.
Location: Bengaluru, Karnataka, India
Company
builds platforms for global careers, operating at the intersection of edtech and fintech.
What you will do
- Scope, design, and structure product ideas into clear user flows and testable MVPs.
- Use LLMs and AI tools to support product research, thinking, and decision-making.
- Build lightweight automations and internal tools with n8n and LLM APIs.
- Design product logic, edge cases, and user journeys using Figma, Canva, or flow maps.
- Analyze product performance and identify opportunities to improve speed, clarity, and outcomes.
- Write PRDs, experiment notes, and documentation covering product logic and reasoning.
Requirements
- Hands-on proficiency with LLMs, prompt engineering, and AI-powered workflows.
- Experience using n8n for workflow automation.
- Ability to scope products from idea to MVP and reason about user flows, edge cases, and second-order effects.
- Experience with Figma or Canva for rapid prototypes and visual product flows.
- SQL and strong research skills using tools such as Perplexity, Gemini, and ChatGPT.
- Understanding of frontend, backend, APIs, LLMs, databases, and servers, with the ability to read or edit lightweight Python, JavaScript, or SQL code.
Nice to have
- At least five projects, including apps, websites, prototypes, or chatbots.
- Experience building projects around AI or automation.
- Experience with Cursor, Claude Code, or GitHub Copilot.
Culture & Benefits
- Relentless resourcefulness and a focus on possibilities.
- Bias for action, calculated experimentation, and data-informed decision-making.
- Continuous learning, feedback, and improvement.
- Growth mindset and emphasis on resilience.
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