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About the Role

We are seeking an Engineering Manager to lead a team focused on building core product features for the Arteria platform. This role involves rebuilding document discovery surfaces, enhancing the document editor, and integrating AI features. The ideal candidate is a product-focused, technically credible leader who thrives on solving complex problems, developing team members, and making difficult decisions to ensure high performance.

Responsibilities

Lead, coach, and develop a team of 5–6 engineers to ship product features.
Own the team’s talent lifecycle, including hiring, onboarding, growth conversations, and development plans.
Identify and nurture high-potential engineers for future leadership roles.
Make and communicate timely, fair performance-management decisions.
Foster a team culture of high standards, low ego, and clear feedback.
Guide technical decision-making, including designs, trade-offs, and sequencing.
Act as a credible technical partner, contributing hands-on where beneficial.
Collaborate with Engineering Leadership to simplify platform architecture and reduce complexity.
Improve engineering standards through code reviews, design reviews, on-call practices, and tech debt management.
Partner with Product and Design on document discovery, document editor, and AI feature development.
Translate roadmap priorities into actionable plans with realistic timelines and milestones.
Drive predictable execution by keeping the team focused and unblocking issues.
Ensure quality outcomes for team deliverables, including reliability, performance, and user experience.
Explore and champion the adoption of AI tools to enhance developer productivity.
Share best practices for AI in the development lifecycle with peers.
Align with Product and Design on user problems and project objectives.
Collaborate with AI Research and Engineering on shared capabilities.
Incorporate client feedback from Customer Success and Professional Services into prioritization.

Requirements

7+ years of professional software engineering experience.
2+ years of experience managing engineering teams.
Experience leading a team of 5–10 engineers is ideal.
A product-focused mindset, motivated by solving real user problems.
Strong technical judgment and credibility in a modern web/SaaS environment.
Hands-on coding ability is a plus.
Demonstrated interest in architecture and simplifying systems.
Proven people-leadership skills, including hiring, coaching, levelling, and performance management.
Comfortable making and communicating difficult decisions.
Genuine curiosity about AI's impact on software development and a desire to leverage AI tooling.
Experience in an early-stage, fast-growing environment with evolving structure.
Experience in or with financial institutions, fintech, or regulated industries is an asset.

Skills

Team Leadership
Coaching
Talent Management
Performance Management
Technical Direction
Architecture
System Simplification
Product Delivery
Agile Methodologies
AI Tools
Cross-functional Collaboration
Communication

Location

Toronto
New York
London

Work Type

Hybrid

Experience Level

7+ years professional software engineering
2+ years management

Salary/Compensations

CAD $150,000-200,000 (Ontario)

Benefits

End-of-year performance bonus
Comprehensive benefits package
Health and dental coverage
Medical and dental insurance coverage
Flexible time-off

About the Company

Arteria AI is an award-winning, AI-powered documentation platform transforming documents into data for banking processes like trading and lending.
Leading banks use Arteria to connect manual documentation processes to enterprise automation and gain insights.
Founded in October 2020, Arteria completed Series B funding in October 2023, led by Notable Capital.
Investors include Citi, Illuminate Financial, Information Venture Partners, and BDC Capital.
Recognized by Gartner, CB Insights, and Finovate.
Headquartered in Toronto, with operations in New York and London.

Equal Opportunity

Arteria uses artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist the recruitment process but do not replace human judgment. Final hiring decisions are ultimately made by humans.