Engineering Manager – Scout

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead the engineering team responsible for developing Scout.

• Create and enhance financial models within Excel utilizing Daloopa's audit-ready, hyperlinked data.

• Continue hands-on development and create functional prototypes using AI coding tools.

• Educate the team on effective development methodologies.

• Oversee the recruitment, development, and retention of talented engineers.

• Engage thoroughly in technical design and code evaluations.

• Establish and maintain standards for execution, code quality, and operational readiness.

• Reliable deployment and operation of client-facing ML/LLM products in production environments.

• Own and manage the product roadmap in collaboration with Product and cross-functional stakeholders.

• Make informed trade-offs between scope, quality, and timelines.

• Enhance engineering practices across teams through incident reviews, standards, tools, and knowledge sharing.

• Foster strong relationships within Engineering, Product, Sales, Customer Success, and Support.

• Collaborate directly with analysts and clients utilizing the products.

• Lead Scout engagements with financial institutions.

⛳️ Requirements

• Ask questions instead of making assumptions; clarify ambiguities rather than guessing.

• Focus on business value and link team efforts to customer or business outcomes.

• Safeguard scope, prioritize simplicity, and establish clear, testable objectives.

• Take ownership of outcomes from start to finish and proactively highlight risks, issues, and updates.

• Exhibit self-awareness, a quick learning ability, and comfort in managing disagreements.

• Share expertise, develop team members, and elevate team standards.

• Proven experience in hiring, developing, and retaining skilled engineers.

• Experience in cultivating healthy teams rooted in trust, accountability, and continuous improvement.

• Demonstrated hands-on technical leadership in backend, full-stack, or AI products.

• Actively participate in design and code evaluations.

• Capability to uphold high standards for execution, code quality, and operational readiness in client-facing production systems.

• Experience in delivering client-facing products based on ML/LLMs.

• Knowledge of production engineering practices, including evaluations, observability, latency, and cost management.

• Ability to lead and manage the roadmap with Product and cross-functional stakeholders.

• Capacity to enhance team practices through incident reviews, standards, tools, or knowledge sharing.

• Strong interpersonal relationships across Engineering, Product, Sales, Customer Success, and Support.

• Comfort in working directly with analysts who utilize the delivered products.

• Preferred: experience with financial data products or pipelines.

• Preferred: experience in building products within tools such as Excel or Office add-ins.

• Preferred: notable accomplishments outside of work, such as high rankings in games or sports, competition victories, or impactful side projects.

🏝️ Benefits

• Competitive compensation plus performance incentives.

• Equity in a rapidly growing FinTech company.

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

• Opportunities for career advancement and mentorship.

• A dynamic, collaborative culture.

• Comprehensive benefits package.

• Equity options.

• Additional benefits.