AI Product Builder
- India
نُشرت قبل 3 أيام
عن الوظيفة
Job Information
- Date Opened 29/08/2026
- Job Type Full time
- Industry Education
- Work Experience 1-3 years
- City Delhi
- Province Delhi
- Country India
- Postal Code 110044
Job Description
The Short Version
Who we’re looking for: An AI Product Builder who thinks in terms of problems, systems, and leverage — and is excited to use AI to turn ideas into working solutions. You’re someone who likes getting your hands dirty, experimenting with new tools, and building and testing solutions quickly, with a strong bias toward action and real-world validation.
What the role is about: At Kraftshala, you’ll work on problems across student experience, revenue (admissions, sales, marketing), and internal operations. You’ll identify opportunities, figure out what to build, and use AI, automation, and modern tools to turn ideas into working products, workflows, and systems. You’ll work closely with product and engineering teams to take validated solutions from prototype to production.
What makes this role meaningful: Rather than spending most of your time writing requirements or waiting for development cycles, you’ll be expected to experiment, prototype, ship, and learn quickly.
Why you should apply:
- Build things that actually get used — products, tools, workflows, and automations that solve real problems for students and teams at Kraftshala.
- Go from idea to working solution fast — use AI and modern development tools to prototype, test, and ship instead of waiting around for long development cycles.
- Own problems, not just tasks — take an idea from identifying the problem to building the solution and seeing what impact it creates.
- Work on problems that matter — across student experience, revenue, and internal operations, alongside product, engineering, and business teams.
- Get to build across the stack — from understanding users and business problems to prototyping, testing, and shipping solutions with AI and modern technology.
If you’re someone who sees a problem and immediately wants to figure out how to build a better way, this role is for you.
About us: Kraftshala is India’s largest higher-education institution in terms of marketing placements, with a 94% placement rate, and we are gunning to become the world’s largest career launchpad, across domains.
We’re backed by a number of eminent investors including ex-unicorn startup founders and CXOs of global giants like RedBus, NoBroker, Nestlé, and Performics.
The Detailed Version
As an AI Product Builder at Kraftshala, you’ll be at the intersection of product, technology, and business. You’ll work closely with teams across the organisation to understand how they work, spot opportunities for improvement, and build solutions that make a meaningful difference.
You’ll be expected to move quickly from understanding to experimentation — using AI and modern tools to explore different approaches, build prototypes, and learn what works. As solutions take shape, you’ll work with the right teams to refine, scale, and improve them.
A core expectation in this role is the ability to build quickly and learn through experimentation — using AI-assisted development, LLMs, APIs, integrations, automation, and modular systems to turn ideas into usable solutions, validate them in real contexts, and iterate based on what you learn.
What you’ll own:
- Find & Understand Problems: Work with users and teams to identify meaningful problems, understand what’s causing them, and figure out what is worth solving.
- Build & Prototype: Turn ideas into working prototypes, tools, workflows, and automations using AI and modern development tools. Metrics to measure: Time from idea to prototype, number of experiments shipped
- Test & Iterate: Put what you build in front of real users, learn from feedback and data, and improve the solution based on what you learn. Metrics to measure: Adoption, iteration velocity, solution effectiveness
- Ship & Improve: Work with product and engineering teams to take validated solutions into production and continuously improve them based on usage and impact. Metrics to measure: Delivery speed, adoption, business impact
How you’ll operate:
- You move fluidly between understanding the problem and building the solution
- You use AI as a force multiplier across research, prototyping, development, and execution
- You default to building and testing, rather than spending too long planning
- You’re comfortable trying things that may not work and iterating quickly
- You prioritize speed to insight and usable output over perfect upfront planning
- You think in systems, not just features
- You care about what happens after something is built — adoption, impact, and outcomes
Monthly Outcomes
Month 1:
- Build a strong understanding of Kraftshala’s users, systems, and business priorities
- Identify and validate meaningful problems worth solving
- Build and ship at least one small prototype, automation, or workflow improvement
Month 2:
- Own a problem from understanding to solution
- Build, test, and iterate on prototypes using AI and modern tools
- Ship at least one meaningful product, workflow, or automation improvement
Month 3+:
- Take on increasingly complex problems and build solutions with greater autonomy
- Run faster build-test-learn cycles and improve what you ship based on real-world feedback
- Deliver solutions that create measurable improvements in user experience, revenue, or operational efficiency
Must Haves:
- 1–2 years of experience in Product, a builder, technical, or closely related role — startup experience is a plus. (We’re not fussed about the exact years of experience, as that’s just a proxy for your skill level.)
- Have built and shipped something — a digital product, tool, prototype, workflow, automation, or similar.
- Hands-on experience with AI-assisted development, APIs, automation, no-code/low-code, or modern development tools.
- Strong problem-solving skills and a bias for action.
- Comfortable with ambiguity and fast-moving contexts.
- Strong user empathy, product intuition, and communication skills.
Selection Process:
As a small team, we must get to know each other before taking the leap. We want to ensure you succeed in your role within our team. Each conversation with us will last about 30-60 minutes.
Setting Expectations: This will be a call to understand your profile briefly and share the details of the selection process.
Technical Exercise: This is a specific assessment designed to evaluate your fit for this role
Conversation 1: This will be a detailed assessment review conversation to go over your submission for the technical exercise along with other competencies required for the role.
Conversation 2: A conversation with our CEO to ensure that there is a fit with the Kraftshala Kode.
Extending an offer: If all goes well, we will extend an offer that will mention the relevant details.
Location:
Delhi
Know more about Kraftshala’s philosophy, culture and investors here.