AI Product Analyst

About Zwende: An ISB Alumni Venture, approved by DIPP under Startup India.

Zwende is the worlds first creator-to-consumer platform which offers unique creative products, learning and entertainment from independent artists/makers, boutique designers, and rural artisans. Zwende is built to offer the unlimited creativity of the creators and match it to the need, of todays consumers, for individuality and self-expression.

Zwende is the only Indian start-up featured by Amazon&aposs Global CTO, Werner Vogels, on his show Now Go Build (NGB). NGB tells stories of global entrepreneurs using cloud-based technologies to solve hard, real-world problems. Watch the show here: https://www.youtube.com/watchv=2n7bm0mteG0

At Zwende, we&aposre not just building products we&aposre reimagining how theyre built.

AI

This isn&apost your typical analyst gig. Youll be part of a new generation of product thinkers those who blend data, instinct, and cutting-edge AI to shape decisions, automate insights, and accelerate product velocity. You wont just support the product; youll co-create it, using AI as your co-pilot.

If you&aposre excited about operating at 10x speed, impact, and creativity and building the muscle to lead AI-native product roles across the tech ecosystem this is your launchpad.

If this has got you excited, lets dive deeper.

Here are all the things that the AI Product Analyst would do:

• Combine data across Google Analytics, Meta Ads & Shopify to come up with unique product/business hypothesis that will move the business forward
• Spin up automated A/B testing frameworks using tools like GrowthBook or PostHog, powered by AI agents to monitor results, adjust hypotheses, and even auto-suggest next test variations.
• Learn vibe coding on Replit/Cursor etc, to be able to prototype new product ideas and validate them in a matter of days, before they get into regular product development
• Build Agents using n8n or Agent builder toolkits which can automate workflows for the entire organization
• Train and deploy lightweight recommender systems (e.g., using embeddings + Shopify data) that surface relevant products or bundles dynamically.
• Lead AI onboarding sessions for other team members, making AI-first thinking part of the org DNA from designers and marketers to CX and ops.

To become successful in this role, you will need:

Core Analytical & Product Skills

• Strong grounding in data analysis fluency in SQL, Excel/Sheets, and experience with tools like GA4, Shopify analytics, and Meta Ads Manager.
• Ability to connect the dots across platforms and datasets to uncover user behavior insights, marketing ROI, and conversion gaps.
• Comfort with rapid experimentation running A/B tests, interpreting results, and suggesting actionable changes.
• Experience working closely with product teams to inform feature prioritization and validate product hypotheses with data.

AI-Native Thinking

• Hands-on experience (or deep curiosity) with tools like Replit, Cursor, n8n, or LangChain to automate, prototype, or build internal tools.
• Familiarity with how LLMs work, and how they can be used for analysis, summarization, ideation, and UX (even if you haven&apost fine-tuned one yourself).
• Ability to design, prompt, or configure AI agents to automate workflows (internal dashboards, reporting agents, CX support agents, etc).
• Bonus: Exposure to embeddings, vector search, or recommendation systems in any side project or course.

Mindset & Traits

• Youre a builder-analyst someone who doesn&apost just observe problems but wants to solve them by creating scrappy tools or internal agents.
• You learn by doing youre excited to ship rough prototypes, learn from real-world signals, and iterate quickly.
• You think from first principles, not just playbook. You&aposre not afraid to question default tools or methods if you see a better way.
• Youre deeply curious about AI and how it can be applied creatively to real business and user problems.
• Youre comfortable with ambiguity this role wont come with rigid requirements, but with room to invent and define it.

Additional Information:

• Flexible Working Hours. Indicative timing: 9 AM to 7 PM. Monday to Saturday.
• Location: Work from Home, might convert to work from office
• Work closely with the leadership team at Zwende
• Exponential career growth based on performance
• A flat org and informal structure where performance and superiority of thought drive all decisions