Job Summary

Who we're looking for: A Senior Product Associate who thinks in terms of problems, systems, and leverage - and operates in an AI-native way to build and deliver outcomes. You're someone who is equally comfortable structuring ambiguous problems and getting your hands dirty building and testing solutions, with a robust bias toward action and real-world validation.

What the role is about: At Kraftshala, product sits at the intersection of student experience, revenue (admissions, sales, marketing), and internal operations. You will identify high-impact problems across these areas and take them from idea to outcome. A defining part of this role is the ability to translate ideas into working solutions quickly using AI-assisted prototyping, APIs, and lightweight systems to test, iterate, and refine before scaling with engineering.

What makes this role meaningful: You will operate across multiple parts of the business with clear ownership and a direct connection between what you build and the outcomes it drives. The environment values speed, clarity of thought, and a problem-first approach with strong emphasis on AI-enabled execution.

Why you should apply:

- You get the opportunity to work across multiple high-stakes problem areas
- You will operate with high autonomy and faster execution cycles, moving beyond documentation-heavy product work into actually building, testing, and validating solutions yourself.
- This role enables you to develop an AI-native way of working - where you can prototype quickly, automate workflows, and run rapid experiments instead of waiting on long development cycles.

Responsibilities

- Problem Discovery & Structuring: Identify and prioritize high-impact problems across student journeys, revenue funnels, and internal workflows. Metrics to measure: Number of validated problems, clarity of problem definition, stakeholder alignment
- Solution Design with Business Context: Design solutions grounded in user needs, operational constraints, and business impact. Metrics to measure: Expected vs actual impact,



solution adoption, problem-solution fit
- AI-Assisted Prototyping & Rapid Build: Use AI-assisted prototyping, prompt engineering, and tools (e.g., Cursor, Replit, Claude, Copilot) to build MVPs, workflows, or automations quickly. Metrics to measure: Time from idea to prototype, number of experiments run, validation rate before engineering involvement
- Execution & Delivery with Engineering: Work with engineering to productionize and scale validated solutions. Metrics to measure: Sprint predictability, on-time delivery %, rework, cycle time
- Workflow Automation & Systems Improvement: Build and improve internal tools, AI-in-the-loop workflows, and integrations to reduce manual effort and increase efficiency. Metrics to measure: Reduction in manual effort, turnaround time improvement, process efficiency gains
- Iteration, Experimentation & Impact Ownership: Run tight build-measure-learn loops and continuously refine solutions. Metrics to measure: Feature adoption, conversion improvement, operational efficiency, experiment velocity

How you operate

- You move fluidly between problem thinking and hands-on building
- You use AI as a force multiplier across workflows and execution
- You design AI-in-the-loop systems where AI drafts, routes, summarizes, or assists decisions
- You prioritize speed to insight over perfect upfront planning
- You think in systems, not just features

Monthly Outcomes

Month 1

- Build strong understanding of users, systems, and business priorities
- Identify and validate at least 2 meaningful problem areas
- Ship at least one improvement (feature, workflow, or automation)

Month 2





- Own planning and alignment with engineering
- Translate validated problems into clear solutions
- Prototype and test before scaling
- Roll out at least one meaningful system improvement

Month 3+

- Deliver 23 high-impact initiatives per quarter
- Contribute to and progressively take ownership of a problem-led roadmap
- Improve execution speed through better systems and iteration loops
- Become a trusted problem solver for cross-functional teams

Must Haves

- 18-24 months of product management experience for any digital product or online platform (Were not fussed about the exact years of experience, as thats just a proxy for your skill level.)
- AI-assisted prototyping
- LLM integrations / prompt engineering
- RAG, AI evals, or agent workflows (preferred)
- Strong exposure to sales, marketing, or operational workflows
- Comfortable navigating ambiguity and driving clarity
- Strong execution orientation with a bias for action
- Experience building or improving internal tools or systems
- Familiarity with APIs, integrations, and modern tooling

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 Kraftshala.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Product Associate (New Delhi)
🏢 Kraftshala
📍 New Delhi