Engineering Manager – Scout

🔥 51 minutes ago

🇨🇦 Canada – Remote

💵 $230k - $245k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Daloopa

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

☁️ SaaS

🤖 Artificial Intelligence

💰 $13M Venture Round - Daloopa on 2025-07

Finance • SaaS • Artificial Intelligence

Daloopa is a financial data and AI-powered model automation company providing high-quality, audited fundamental data and tools that integrate with Excel and AI agents. It supplies a Model Context Protocol (MCP) and API access to over 5,000 global tickers, extracted via proprietary AI parsing from filings, presentations, press releases and transcripts, with hyperlink auditability and >99% accuracy. Daloopa's products (Copilot, Updater, Scout, Cloud, MCP) enable rapid model building, automated updates, and LLM integration for financial institutions, hedge funds, private equity, and corporate finance teams.

📋 Description

• Lead the engineering team building Scout • Build and update financial models inside Excel using Daloopa's audit-ready, hyperlinked data • Continue hands-on development, including rapidly prototyping with AI coding tools • Provide technical leadership through design and code reviews • Set and uphold standards for execution, code quality, and operational readiness • Ship and operate reliable client-facing ML/LLM products • Own the product roadmap with Product and cross-functional stakeholders • Make tradeoffs among scope, quality, and timelines • Improve engineering practices across teams through incident reviews, standards, tooling, and knowledge sharing • Build trust and strong working relationships across Engineering, Product, Sales, Customer Success, Support, and clients • Hire, develop, and retain strong engineers • Build healthy, accountable, continuously improving teams

🎯 Requirements

• Demonstrated ability to ask clarifying questions rather than make assumptions • Ability to connect team work to customer or business value • Ability to protect scope and prioritize simplicity • End-to-end ownership of ambiguous problems and outcomes • Proactive communication of risks, issues, and updates • Self-directed, high-performance mindset • Self-awareness, ability to learn quickly, and ability to handle disagreement • Ability to raise the bar by sharing knowledge and developing team members • Hands-on technical leadership in backend, full-stack, or AI products • Experience with design and code reviews and maintaining high standards for execution, code quality, and operational readiness in client-facing production systems • Experience shipping client-facing products built on ML/LLMs • Experience with production engineering practices including evaluations, observability, latency, and cost management • Experience hiring, developing, and retaining strong engineers • Experience building healthy teams based on trust, accountability, and continuous improvement • Experience owning and managing roadmaps with Product and cross-functional stakeholders • Experience improving engineering practices through incident reviews, standards, tooling, or knowledge sharing • Strong working relationships across Engineering, Product, Sales, Customer Success, and Support • Comfort interacting with analysts who use shipped products • Experience with financial data products or pipelines preferred • Experience building products inside existing user tools such as Excel or Office add-ins preferred • Exceptional achievement outside work preferred

🏖️ Benefits

• Competitive pay • Performance incentives • Equity in a fast-growing FinTech • Hybrid work schedule for HQ-based roles (3 days in-office) • Career growth and mentorship opportunities • Vibrant, collaborative culture • Full benefits package