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AI-Native Product Builder
Bengaluru ยท Mid Level
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Job description
AI-Native Product Builder
Weekday AI ยท Bengaluru, India ยท Full-time ยท Posted 2026-09-17
Salary: INR 700,000โ1,200,000
Workplace: on_site
Department: Weekday's Client via platform
Description
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ณ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฎ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ณ-๐ญ๐ฎ ๐๐ฃ๐)
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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