[Hiring] Engineering Manager @Daloopa

Role Description

Every number an investment professional relies on starts in a filing, a press release, or a transcript, and getting it into a model has always meant hours of manual extraction with no easy way to check where it came from. Daloopa solves that. 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. Daloopa is trusted by leading global institutions such as Morgan Stanley and backed by prominent investors.

A financial model has always been bounded by what one analyst can maintain by hand. Coverage, depth, and the questions worth asking all stop at the same line, and the ambitious ones never get asked because nobody can afford the answer. Scout moves that line. 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.

When work that good is near-free, the questions get bigger. Instead of "did I get this quarter's numbers into my model", analysts start exploring:

• "How does this KPI behave across every player in the sector over ten years, and what does that say about the one I own?"
• "What am I seeing in this sector that others haven't connected the dots on yet?"

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

Qualifications

• You ask instead of assuming.
• You think in business value.
• You protect scope and default to simplicity.
• You own outcomes end to end.
• You communicate proactively.
• You're driven from the inside.
• You're self-aware and learn fast.
• You raise the bar around you.

Requirements

• You're both a player and a coach.
• The manager people follow.
• A track record you can put numbers on.
• You build strong teams.
• Hands-on technical leadership (e.g., backend, full-stack, or AI products).
• Experience shipping client-facing products built on ML/LLMs.
• You own the roadmap with Product.
• You improve how teams work beyond your own.
• You build trust across the company and with clients.

Preferred

• 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.

Apply

One last time to sell! Why do they want to work here and be part of YOUR team?