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 by 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

Hybrid work schedule (3 days in-office for HQ based roles)

Remote; 230,000CAD - $245,000 CAD base + equity + benefits (This range is reflective of level of contribution. We automate the extraction, organization, and delivery of deeply sourced, audit-ready financial data, with every figure traceable to its source, so clients update models faster, make fewer errors, and spend their time on analysis. Through MCP for Financial Services, the same verified data flows directly into AI agents and industry workflows. It runs inside Excel on Daloopa's audit-ready data, and builds and updates models with every reported figure hyperlinked to its source, which is why it's more accurate than other AI Excel agents.

We're hiring an Engineering Manager to lead the team building that.

If something is unclear, you ask rather than filling the gap with a guess and building a plan on top of it.



You can explain in one sentence how any piece of your team's work helps the customer or the business. You surface risks, issues, and updates early and often, before anyone has to ask. You're both of these. You never stopped building. Give you two days and an AI coding tool and you'll come back with a working Scout prototype, then teach the team how you did it

A history of hiring, developing, and retaining robust engineers, and of building healthy teams that run on trust, accountability, and continuous improvement

Hands‑on technical leadership (e.g., You engage deeply in design and code reviews, and you set and uphold high standards for execution, code quality, and operational readiness in client‑facing production systems

Experience shipping client‑facing products built on ML/LLMs, and the engineering practices required to run them reliably in production: evals, observability, latency, and cost

You define and manage it with Product and cross‑functional stakeholders, making clear tradeoffs between scope, quality, and timelines

You have strong working relationships across Engineering, Product, and client‑facing teams (Sales, Customer Success, Support), and you're comfortable in front of the analysts who use what your team ships.

Experience with financial data products or pipelines (e.g., fundamental data, market data, research or analytics platforms)

Experience building products that live inside tools users already work in, such as Excel or Office add-ins

You've been exceptional at something outside your job: a top ranking in a game or sport, a competition win, or side projects with real traction

#

📌 Remote Engineering Manager (Toronto)
🏢 Daloopa
📍 Toronto