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Daloopa

Engineering Manager – Scout

Daloopa

. Lead the engineering team building Scout .

Posted 10/13/2026full-timeRemote • CanadaMid-LevelSenior💰 CA$230,000 - CA$245,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates hands-on technical leadership in backend and AI products, with a focus on shipping reliable client-facing ML/LLM products. Proven ability to build and maintain high standards for execution, code quality, and operational readiness while fostering strong relationships across cross-functional teams.

Highest-signal resume keywords
Technical Leadership in AI ProductsExperience with ML/LLM Product DevelopmentFinancial Modeling in ExcelEnd-to-End Ownership of Product RoadmapsBuilding Trust and Accountability in Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend DevelopmentFull-Stack DevelopmentAI Coding ToolsDesign and Code ReviewsProduction Engineering PracticesFinancial Data ProductsClient-Facing Product DevelopmentOperational Readiness StandardsIncident ReviewsTooling and Knowledge Sharing
Soft Skills
Proactive CommunicationSelf-Directed MindsetAbility to Handle DisagreementTeam DevelopmentBuilding Strong Relationships
Tools & Technologies
ExcelDaloopaML/LLM FrameworksOffice Add-Ins
Industry Keywords
Financial ModelsClient-Facing SystemsEngineering PracticesContinuous ImprovementCross-Functional Collaboration

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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