Engineering Manager

Vendasta•Corman Park No. 344, SK

26d•Onsite

About The Position

We’re looking for an Engineering Manager who is energized by building and sustaining high-performing engineering teams aligned with Vendasta’s strategic objectives. In this role, you will foster a culture of continuous learning, scalable innovation, and operational excellence, driving impactful outcomes and preparing teams for the future of software development.

Requirements

5–7 years of software development experience (ideally within a SaaS environment), with 1+ years in a formal engineering leadership role.
Proven track record of guiding technical teams through workflow changes, managing resistance, and inspiring teams to embrace continuous innovation.
Demonstrated experience evaluating, integrating, and scaling AI-enhanced processes (e.g., GitHub Copilot, ChatGPT, CI/CD automation) and designing scalable team practices like prompt libraries.
Expert in Scrum/Agile frameworks, capable of coaching teams through AI-supported sprint planning, retrospectives, and estimation.
Excellent communicator who can articulate technical impacts to non-technical stakeholders while fiercely advocating for ethical and responsible AI use.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Responsibilities

Manage and Coach Talent: Lead direct reports through consistent feedback, regular 1-on-1s, and clear goal-setting, holding team members accountable to execution benchmarks and workflow efficiencies.
Drive Career Growth & AI Fluency: Facilitate the career trajectory of engineers with a focus on AI fluency, ethical use, prompt engineering, and agentic workflows, helping them reduce toil and optimize solution delivery.
Optimize Team Processes: Master and lead Scrum methodologies, integrating AI-assisted tooling (e.g., for sprint planning, code generation, and testing) to improve agile metrics, velocity forecasting, and overall throughput.
Scale Hiring & Resourcing: Proactively build a robust hiring pipeline, prioritizing tech talent with a strong aptitude for working with AI-enhanced development tools and aligning team capabilities with evolving R&D strategies.
Deliver Strategic Metrics: Track and improve Key Performance Indicators—such as Manager Net Promoter Score (MNPS), delivery velocity, automation rates, and engineering scorecards—to share organizational best practices.