Product Manager

Binary; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Tradl AI is building India's first AI broker, with a foundation model for quant-reasoned trading decisions. You will own the hardest, most differentiated part of the product and work directly with the founders on a small, high-signal team.

We seek 6–8 years in product with at least one consumer product you took from blank page to real users, ideally in fintech. You trade or understand broking data, can explain implied volatility and greeks, and obsess about simplifying complex data for traders.

Qualifications

• 6–8 years in product management with at least one consumer product taken from blank page to real users.
• Experience with fintech products or trading platforms is preferred.
• Ability to reason about options data: implied vol, greeks, skew and payoff structures.
• Strong emphasis on simplification of complex data for non-expert users.
• End-to-end ownership: spec -> design -> engineering -> funnel after ship.

Responsibilities

• Define product specs and roadmap in collaboration with design and engineering.
• Own the post-launch funnel and metrics; drive iteration based on data.
• Translate trader needs into simple, scalable product experiences.
• Collaborate closely with founders on high-impact decisions.
• Analyze market signals and define success metrics for fintech products.

Skills

Product management

End-to-end product ownership

Fintech experience

Trading domain knowledge

Data-driven decision making

Job description

About Tradl AI

Tradl AI is building India's first AI broker, with our own foundation model for quant-reasoned trading decisions in natural language.
93% of individual F&O traders in India lose money — emotion, poor timing, no systematic risk management. Most "AI trading tools" are thin wrappers that hallucinate on numbers. We're building the opposite: a foundation model for real-time quant analysis, paired with integrated broking on our own license, cash and F&O.

Live today:

AI screening chatbot, strategy builder (Sensibull × AI), option chain analytics (IV skew, GEX, gamma), live pattern detection, position risk copilot, and in-house charts with our edge model.

Next:

AI backtesting, Scalper Max, and broking. We've closed a seed round from marquee investors, and the founding team brings deep markets experience — systematic investments at Goldman Sachs, business leadership at a major credit platform, crypto, and investment banking. We're squarely in the 0-to-1 journey, keeping the team small and the bar high.

Why This Role Exists

In 1973, Black and Scholes published a formula that changed how traders think about options. Most remember it as a pricing model, but it was deeper. The one thing in an option's price you cannot observe is volatility. Hedge away the direction and you are trading volatility, not direction. Price is the surface. The real game sits one layer underneath.

Most broking apps never show you that layer. They earn more the more you trade, so they hand you a price chart, call it analysis, and nudge you to trade more rather than think deeper. A gamble table with better UI.

The easy answer is to show more data. That's not the job. The craft is building a product that carries all that depth underneath, yet is so simple that a 15-year-old picking up trading understands it instantly.

Take the hardest thing in the room and make it feel obvious. That is the job.

What We're Looking For

• 6–8 years in product, with at least one consumer product you took from a blank page to something people genuinely loved and used. Fintech preferred.

• You trade. Broking or active F&O, with your own money on the line. You've felt the gap between what your app showed you and what you actually needed to know.

• You see the layer underneath. Implied vol, greeks, skew, payoff structure — well enough to argue about them, not just define them.

• Obsessive about simplification. You can take IV skew or gamma exposure and make it land for someone who started trading last month, without flattening it into something wrong.

• End-to-end ownership. You write the spec, sit with the designer, argue with the engineer, and watch the funnel after ship. No handoffs, no throwing it over the wall.

• Comfortable in the data. You pull your own numbers, define your own metrics, and know the difference between a real signal and a nice-looking dashboard.

• Judgment on what not to build. At 0-to-1, the cut list matters more than the roadmap.

Bonus Points

• You've been early at a 0-to-1 startup. You know what it costs and you want to do it again.

• You've shipped AI/LLM-powered products to real users — and dealt with the evaluation, latency, trust, and hallucination problems that show up after the demo.

• You've worked inside a broker, exchange, or trading platform.

• Design sensibility strong enough to sketch the flow yourself before anyone opens Figma.

• You've built specifically for the Indian retail audience and understand how differently they think.

Why Join

You’ll own the hardest and most differentiated part of the product, on a small team where your product decisions stick. Direct line to the founders, real scope, and problems nobody in the Indian market has solved yet.