Experiment Labs
Website:
experimentlabs.in
Job details:
Company Description
What we're building
Experiment Labs is career transition infrastructure. We turn real-world execution into verifiable proof of merit — quantified, personalized, and trusted by institutions. Our platform serves students, working professionals, and universities across India, powered by AI at every layer.
The role
You'll sit at the centre of everything — product strategy, go-to-market, growth experiments, UI/UX collaboration, and engineering delivery. One day you're defining what gets built. The next you're figuring out why users aren't converting and running an experiment to fix it. The day after that you're in a design review making sure what ships actually works.
We build AI-native products — not products with AI bolted on. That means you need to understand how models behave, where they break, what prompts produce what outputs, and how to design product experiences around probabilistic systems. If you've never thought about what OpenAI won't build or what Claude won't solve for — and why that's the most interesting product space right now —
this role will teach you fast. If you already think that way, you'll thrive here.
- We operate at the frontier of what AI can do for career transitions. The problems we're solving don't have playbooks. You'll write them.
What you'll own
Product
- Own the end-to-end product lifecycle for features — from problem definition to spec to shipped
- Write PRDs that are tight enough for engineers to build from without hand-holding
- Prioritise ruthlessly across a backlog that will always be longer than capacity
UI/UX
- Work shoulder-to-shoulder with our designer — not as a reviewer but as a thinking partner
- Translate messy user insights into clear design direction
- Ensure what gets designed is what gets built — and what gets built actually solves the problem
Engineering
- Sit in standups, unblock decisions, and own the acceptance criteria
- Be the bridge between what the user needs and what the engineer ships
- QA isn't beneath you — you care that it works, not just that it's built
AI
- Understand our scoring engine deeply — the 7-dimension quantification logic, the model behaviour, the edge cases
- Identify where AI output breaks down and define what "good" looks like
- Prototype AI-native features using tools like Claude, GPT, Gemini — not just describe them, actually test them
- Think constantly about what the big AI labs won't build for our users — and build it
Growth
- Design and run growth experiments — onboarding flows, activation triggers, counsellor adoption
- Analyse drop-offs, conversion gaps, and retention patterns and turn them into testable hypotheses
- Own the metrics for what you ship — not just delivery, but outcomes
Qualifications
Who you are
Degrees don't tell us much. These do:
You think from first principles When something doesn't make sense, you don't accept it — you pull the thread until you find the actual reason. You build arguments from the ground up, not from what the playbook says.
You observe things others miss You notice when an app makes you feel stupid. You clock the moment a user hesitates. You've mentally redesigned things you use every day without anyone asking you to. You have opinions about why products succeed and fail — and you can back them up.
You've built something Doesn't matter what. An app, a side project, a college initiative, a process that didn't exist before you. Something with real users, real feedback, real constraints. You know what it feels like when something you made breaks — and you fixed it.
You have taste You know the difference between a product that works and a product that feels right. You care about copy, spacing, flow, and the moment between a user's intent and the system's response. Good enough isn't good enough for you.
You understand journeys — and you hunt friction You think in flows, not features. You can map what a user is feeling at every step, not just what they're clicking. You find friction before users complain about it. You know that the best product fix is sometimes removing something entirely.
You're dangerous with AI Not "I've used ChatGPT" dangerous. You understand how language models behave, where they hallucinate, how prompts shape outputs. You've used AI to build or test something. You think about what AI can and can't do — and that gap excites you, not scares you.
You move You don't wait for perfect information. You form a hypothesis, test it cheap, learn fast, and adjust. You're biased toward doing over discussing. Ambiguity doesn't stall you — it focuses you.
- You care about the problem, not the title You're not here to put "Product Manager" on your LinkedIn. You're here because you find the problem genuinely interesting and you want to be close to solving it.
Click on Apply to know more.