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AI-Native Product Builder

weekday-1ยทMumbai, Maharashtra, India

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๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€

๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿณ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿญ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿณ-๐Ÿญ๐Ÿฎ ๐—Ÿ๐—ฃ๐—”)

Experience: 3+ yrs

Location: Bengaluru, Pune, Mumbai, Maharashtra, India

Job Type: Full-time

We are looking for an execution-focused AI-Native Product Builder to rapidly transform ideas, business problems, and user needs into functional digital products and MVPs. This role sits at the intersection of product development, AI-assisted software development, prototyping, automation, and user experience .

The ideal candidate is someone who enjoys building rather than simply planning. You will use modern AI development tools, low-code/no-code platforms, and your technical understanding to prototype, test, validate, and iterate products quickly with minimal supervision.

Requirements

Key Responsibilities

  • Convert business problems, user needs, and product ideas into functional MVPs and prototypes .
  • Rapidly design, build, test, and iterate digital products using AI-assisted development tools.
  • Use platforms such as ChatGPT, Claude, Cursor, Lovable, Replit, Windsurf, Bolt.new, and similar AI tools to accelerate development.
  • Build intuitive and functional user interfaces focused on usability and user experience.
  • Develop basic backend logic, workflows, databases, APIs, authentication, automations, and integrations.
  • Use no-code, low-code, and AI-powered development platforms wherever appropriate.
  • Validate product assumptions through rapid experimentation, user testing, feedback, and iteration.
  • Work directly with founders, product stakeholders, designers, and users to translate ideas into working solutions.
  • Identify technical and product risks early and experiment with alternative approaches.
  • Collaborate with engineering teams to productionise successful prototypes with appropriate scalability, security, performance, and deployment practices.
  • Document key product flows, technical approaches, AI workflows, and implementation decisions where required.
  • Continuously evaluate emerging AI tools, frameworks, and development methodologies that can improve speed and product quality.
  • Contribute to a culture of rapid experimentation, learning, ownership, and continuous product improvement.

What Makes You a Great Fit

  • 3+ years of experience in product development, software development, AI-assisted development, startup product building, or a related field.
  • Demonstrated experience building and shipping digital products, MVPs, or prototypes from scratch .
  • Strong hands-on experience with AI-powered development and productivity tools such as ChatGPT, Claude, Cursor, Lovable, Replit, Windsurf, or Bolt.new .
  • Familiarity with GitHub Copilot and modern AI coding workflows is an advantage.
  • Comfortable using no-code/low-code platforms to rapidly validate product concepts.
  • Working understanding of databases, APIs, backend workflows, authentication, integrations, and automation .
  • Ability to build functional applications independently without relying on extensive engineering support.
  • Familiarity with JavaScript, Python, SQL, or similar technologies .
  • Understanding of cloud platforms, deployment processes, version control, and modern software development practices is an advantage.
  • Strong product thinking with excellent user empathy and problem-solving skills .
  • High ownership, accountability, and a strong bias toward execution.
  • Comfortable working in ambiguous, fast-paced, and startup-oriented environments.
  • Curious and proactive about experimenting with emerging AI technologies and development tools .
  • Strong communication and collaboration skills with technical and non-technical stakeholders.
  • A Bachelor's degree in Computer Science, Engineering, Product Design, Information Technology, or a related discipline is preferred; equivalent practical experience and a strong portfolio may also be considered.
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