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. This means analysts spend less time on manual tasks and more time generating insights that drive performance. Today, Daloopa powers the workflows of leading investment teams worldwide—helping them move faster, think deeper, and make every decision with confidence.

If you’re passionate about building technology that solves real-world problems and want to make an impact, join us and help redefine the future of investment research. Competitive pay + performance incentives Equity in a fast-growing FinTech 225k - $245kCAD annualized+equity +benefits(This range is reflective of level of contribution. Building AI products in that context requires understanding both the workflow and the technology well enough to make honest tradeoffs.

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.

Work directly with engineering and design daily: write actionable specs,participatein technical design discussions, and make real-time decisions when the work surfaces new constraints.

Evaluate AI output quality: build evaluation frameworks,



define accuracy and confidence standards, and hold the bar on what ships.

Enable the GTM team: give sales and CS the product context they need to sell andretain, andstay close enough to the field to hear what is not working. Prototypeand pressure-test ideas directly: use AI tools to build working prototypes, put them in front of customers tovalidateor kill your hypotheses, and discard weak ideas before they consume engineering time. You can walk through the hardest problem you hit shipping an LLM-powered product and what you changed, whether the fix was in evals, tool design, retrieval, or prompting.

You have partnered with a designer through real disagreement and know the difference between a UX opinion and a UX decision. You havebuilt forexpert users in a technical domain. Direct exposure to financial workflows, Excel-native products or data-heavy tools is a strong plus You haveoperatedin a startup or early-stage setting and know what it means to work without a support structure.

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. The GTM team can demo Scout confidently, object to competitive claims, and explain what makes it different, because you gave them the context to do it.

📌 Senior Product Manager- Walmart + (Toronto)
🏢 Daloopa
📍 Toronto