Daloopa

Product Manager - Scout

New York, NY

Sponsorship not specified$205k-$225kDetected 3 days ago

LLMsUX ResearchProduct ManagementProduct StrategyExcelResearch

About the role

That means deciding what gets built, why it gets built, and making sure it actually changes how analysts work.
You will have real ownership, real accountability, and the room to make calls that shape one of the company's biggest product bets.
Financial analysts are expert users with low tolerance for noise and high expectations for accuracy.

Own the Scout product roadmap: set the direction, sequence the bets, and sure every bet ladders up to a company objective.
Define analyst workflows end-to-end: understand what analysts actually do in modeling, comps, and research, and build against the real workflow, not the idealized one.
Work directly with engineering and design daily: write actionable specs, participate in technical design discussions, and make real-time decisions when the work surfaces new constraints.
Drive repeat usage by defining what healthy engagement looks like for a workflow shaped by the quarterly earnings cycle, instrument it properly and turn first uses into the repeat behavior that compounds into durable retention.
Evaluate AI output quality: build evaluation frameworks, define accuracy and confidence standards, and hold the bar on what ships.
Own analyst discovery: get in the room with users, watch the real workflow, and come back with a decision and the evidence behind it.
understand what analysts actually do in modeling, comps, and research, and build against the real workflow, not the idealized one.
write actionable specs, participate in technical design discussions, and make real-time decisions when the work surfaces new constraints.
As the PM for Scout, you own the product from strategy through execution.
Building AI products in that context requires understanding both the workflow and the technology well enough to make honest tradeoffs.

You have 5+ years of product management experience and have owned an AI product or a complex workflow product end-to-end, not as a contributor, as the owner.
Success Looks Like Within 90 days, you know the Scout product deeply: every user flow, every known failure mode, and every open bet on the roadmap.
Within a few months, you have shipped at least one meaningful workflow improvement that changed how analysts use the product, with data to show it.
Within 12 months, Scout's retention and engagement metrics have moved and you can trace the movement back to specific product decisions.

Who You Are You have 5+ years of product management experience and have owned an AI product or a complex workflow product end-to-end, not as a contributor, as the owner.
You have worked closely enough with engineers to understand implementation tradeoffs, not just outcomes.
You have partnered with a designer through real disagreement and know the difference between a UX opinion and a UX decision.
You are comfortable sitting with expert users, asking uncomfortable questions, and changing your roadmap because of what you heard.
You have built for expert users in a technical domain.
Direct exposure to financial workflows, Excel-native products or data-heavy tools is a strong plus You write clearly, speak directly, and do not need a lot of process around you to produce results.
You already use AI tools in your daily work and can show it, not just say it.

Founded by a former equity research analyst and top engineers, we built an AI-powered platform that converts complex financial filings, transcripts, and KPIs into clean, hyperlinked, customizable data.
$205k - $225k annualized + equity + benefits (This range is reflective of level of contribution.
Competitive pay + performance incentives Equity in a fast-growing FinTech Hybrid work schedule (3 days in-office) Career growth and mentorship opportunities A vibrant, collaborative culture Full benefits package
Location: New York City (Hybrid office/remote schedule) Compensation: $205k - $225k annualized + equity + benefits (This range is reflective of level of contribution.

Our mission is to eliminate the slow, error-prone parts of fundamental research-without sacrificing accuracy or auditability.

This listing is sourced directly from Daloopa's careers page and normalized into a canonical job model.