Indeed Applications
Chose hiring quality over raw volume, helping create 1M+ additional hires annually and billion-dollar revenue impact.
Product executive and hands-on builder
Aditya Pandya
I help teams decide what deserves to exist, then build the evidence to make it work.
Across Indeed, Red Ventures, and AI-native startups, I have led product areas serving 100M+ job seekers and 5M+ businesses monthly, launched Interview Scheduling from zero to 10M+ annual interviews, and helped teams find expensive product risk before it shipped.
Where I Work Best
Product judgment when the next decision matters.
I work best where product judgment matters: when the stakes are real, the answer is not obvious, and the next decision will decide what the product becomes.
At Indeed, that meant choosing hiring quality over raw application volume, helping create 1M+ additional hires annually and billion-dollar revenue impact. It also meant launching Interview Scheduling from zero to 10M+ annual interviews and rebuilding Profiles into an AI-powered foundation for hundreds of millions of job seekers.
At Red Ventures, it meant pressure-testing a strategically important partner launch before scale, finding meaningful revenue risk in early data, and redirecting the plan before the downside became expensive.
As an advisor, I help AI-native and growth-stage teams make sharper calls on product direction, pricing, onboarding, evaluation, guardrails, and launch risk. Earlier, I built totalBarça as a solo project to 780K+ followers and 1.2M+ monthly visitors, with ad revenue donated to UNICEF.
Selected Work
A few places where the bet changed shape.
Work that spans marketplace quality, zero-to-one products, AI foundations, partner risk, and founder advisory.
Indeed Interview Scheduling
Built Interview Scheduling from zero to 10M+ annual interviews, making a failure-prone part of hiring more reliable.
Indeed Profiles
Rebuilt Profiles into an AI-powered foundation for hundreds of millions of job seekers and expanded qualified candidate access by tens of millions.
Red Ventures
Pressure-tested a strategically important partner launch before scale, saw the revenue risk in early data, and helped redirect the plan toward a safer path.
AIApply
Simplified pricing, clarified onboarding, and strengthened LLM quality evaluation, monitoring, guardrails, and cost discipline.
totalBarça
Built a global FC Barcelona community to 780K+ followers and 1.2M+ monthly visitors as a solo project, with ad revenue donated to UNICEF.
Advisory and Fractional Product
For founders and product leaders making a small number of important bets.
I am most useful when the question is still open and the cost of getting it wrong is real.
That can mean a launch that needs pressure-testing, pricing that is not landing, onboarding that is doing too much work, or an AI product that is technically plausible but has not yet earned user trust.
I usually help with
- Product direction before it hardens into an expensive mistake.
- Pricing, onboarding, and the path to first value.
- LLM-backed product ideas with evaluation, monitoring, guardrails, and cost discipline.
- Clearer launch decisions: what to ship, what to cut, and what needs more evidence.
Best fit
- Founder-led or product-led teams.
- Consumer, prosumer, marketplace, hiring, and AI-native products.
- Teams that want sharper product calls, not a long slide deck.
Philosophy
The point is better decisions, faster learning, and products people come back to.
Start with what deserves to exist. More product does not automatically mean a better product.
Get close enough to the work to see what users actually do.
Treat AI as a product judgment question, not a branding exercise.
Use evidence to improve taste, not replace it.
Contact
Have a product bet that needs sharper judgment?
Send a note with the context, the decision in front of you, and what would make the next month meaningful.