Product Manager - Equity Research

Experience: 2 - 4 years

Location: Bangalore

Works with: Engineering, AI/LLM team, Data team

Reports to: Founder

Compensation: Competitive market salary + 1-2% ESOPs (based on fit)

This Role Is Ideal For Someone Who.

- Loves equity research but hates the slow, repetitive parts

- Wants to use AI to automate grunt work and focus on insights

- Believes India deserves a serious research platform, not marketing dashboards

- Wants ownership, influence, and the satisfaction of building a research system used by thousands of investors

- Has always felt they could design a better tool than what they use today

What You'll Do

- Build the research engine behind EQHQ

- Break down how serious investors actually think, model, track, and make decisions.

- Convert this into systems, workflows, and product primitives - screens, dashboards, concall intelligence, sector frameworks, KPI libraries.

- Define user journeys that feel obvious to investors but require strong product clarity underneath.

- Make AI research trustworthy (Your craft is the gatekeeper)

- Rewrite and fix AI-generated outputs: earnings summaries, red-flags, sector scans.

- Build strict accuracy and consistency standards for every metric EQHQ publishes.

- Create evaluation rubrics that detect hallucinations, missing insights, and poor reasoning.

- Train interns and junior analysts to maintain this bar.

- Shape the product with founder + engineering

- Convert workflows and insights into crisp specs and simple interfaces.

- Iterate with engineering + data + LLM teams to ensure outputs are correct, fast, and investor-grade.

- Own the quality of everything that touches the user.

What You Must Already Be Good At

- Equity Research Craft

- 2-4 years of hands-on experience writing notes, models, concalls, or sector work

- Strong intuition for what is "insightful" vs "obvious"

- Comfort with statements, filings, ratios, business models

- Thinking & Product Sense

- Can break down complex workflows into simple steps

- Writes clearly, structures thoughts well, sees patterns

- Has opinions about great research products (Screener, TIKR, Tijori, Quartr, Bloomberg)

Traits

- Low ego, high agency

- Fast learner

- Enjoys precision, detail, cleanliness of data

- Thrives in ambiguity and early-stage chaos

- Bonus Signals

- CFA L1/L2/L3

- Built internal tools or templates in previous teams

- Exposure to API data, time-series, quant screens

- SQL/Python basics

This Role Is Not For Someone Who.

- Wants a pure PM role without touching financial statements

- Wants to manage vendors, not build product

- Prefers large teams, structure, and predictable roadmaps

- Sees research as a job, not a craft