Product Manager - Scout

Daloopa•New York, NY

5d•$205,000 - $225,000•Hybrid

About The Position

Scout is Daloopa's AI-native product for the analyst workflow: not a prompt tool, not a chatbot, but an agent that understands what analysts are doing and works alongside them. As the PM for Scout, you own the product from strategy through execution. That means deciding what gets built, why it gets built, and making sure it actually changes how analysts work. This is not a coordination role. You will have real ownership, real accountability, and the room to make calls that shape one of the company’s biggest product bets. The problem space is challenging. Financial analysts are expert users with low tolerance for noise and high expectations for accuracy. Building AI products in that context requires understanding both the workflow and the technology well enough to make honest tradeoffs. You need to know when AI is the right answer and when it is not. If you have shipped AI products that changed user behavior, stayed close to the technical work, and are ready to do that again at a company that is still early enough for your decisions to matter, this is your seat.

Requirements

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.
Can walk through the hardest problem hit shipping an LLM-powered product and what was changed, whether the fix was in evals, tool design, retrieval, or prompting.
Worked closely enough with engineers to understand implementation tradeoffs, not just outcomes.
Partnered with a designer through real disagreement and know the difference between a UX opinion and a UX decision.
Comfortable sitting with expert users, asking uncomfortable questions, and changing your roadmap because of what you heard.
Built for expert users in a technical domain.
Write clearly, speak directly, and do not need a lot of process around you to produce results.
Operated in a startup or early-stage environment and know what it means to work without a support structure.
Already use AI tools in your daily work and can show it, not just say it.

Nice To Haves

Direct exposure to financial workflows, Excel-native products or data-heavy tools is a strong plus.

Responsibilities

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.
Enable the GTM team: give sales and CS the product context they need to sell and retain, and stay close enough to the field to hear what is not working.
Prototype and pressure-test ideas directly: use AI tools to build working prototypes, put them in front of customers to validate or kill your hypotheses, and discard weak ideas before they consume engineering time.