Product Manager

iRage·Mumbai·Onsite

Senior Product ManagerEcommerceFintech

Experience

4–8 years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Mumbai

Posted

1 week ago

About the role

Role: Product Manager, Trading Infrastructure

You will own the professional and algo trading surface of Arrow: the products where latency, data depth and execution quality are the whole point. Five areas sit in your remit, and each one is a product in its own right.

TBT charts: In-house tick-by-tick charting: sub-second candles, order-flow and footprint views, replay, with chart latency held close to feed latency

HFT algos: In-house algos and a strategy marketplace retail traders can deploy on co-located infrastructure, with risk guardrails and exchange approvals built in

API latency: The trading and market-data APIs: round-trip order latency at p50/p95/p99, WebSocket feed delivery, SDK ergonomics, rate limits, sandbox

Colocation access: Productizing exchange co-lo for clients: rack and VM offerings, provisioning, cross-connects, pricing and compliance

Tick-level data: Dissemination of full-depth, tick-by-tick market data: live feeds, snapshots, historical tick archives, entitlements and fan-out at scale

As one of the first Product Managers on the Arrow team, you will work directly with the CTO, quants, the HFT desk, and connectivity engineers. You won't just follow a product process—you will help build it from scratch. In this role, you will spend just as much time analyzing order books and latency data as you do planning roadmaps.

You'll do:

Own the TBT charting roadmap. Define what a tick-by-tick chart must do for a scalper that a one-second chart cannot:

What you'll bring

4-8 years in product, trading-systems engineering or quant/HFT trading, with at least 3 years owning a technical or fintech product end to end.
You understand market microstructure. Order books, tick data, matching-engine behaviour, order-to-trade ratios, what co-lo buys you and what it does not. You know why a scalper cares about the difference between 1 ms and 3 ms.
Hands-on with trading APIs. You have built or run something against a broker or exchange API, understand REST versus WebSocket versus binary protocols, and can read a latency histogram and say where the time went.
Fluent with data. You can write SQL, pull your own latency and order-flow data, and argue a prioritisation call with numbers rather than opinions.
Shipped in a regulated environment. You can read a SEBI or exchange circular on algo trading, API access or market data and turn it into a product requirement.
Clear writer. Your PRDs, SLO definitions and API docs get read and acted on by engineers and traders alike.
Bias for shipping. You have taken a feature from a trader complaint to production in weeks, not quarters, and iterated after launch.

Nice to have

Worked at an HFT or prop firm, an exchange, a market-data vendor or an algo trading platform.
Familiarity with NSE/BSE TBT and snapshot feeds, exchange co-lo offerings and the NNF/API order-tagging framework.
Have run a live strategy through a broker API, even a small one.
Options knowledge beyond the basics: Greeks, market-making, hedged-position margin.
Python or Go, enough to prototype an API call, parse a tick file or build your own latency dashboard.