Engineering Manager - Logistics

Cover Genius • Vancouver, BC

37d • $150,000 - $190,000 • Hybrid

About The Position

As Engineering Manager for our Logistics squad, you will build and lead a team
that provides technical solutions to our shipping and logistics
partners—enabling embedded protection for packages, deliveries, and supply
chains at scale.

We're building AI-first. You'll foster a culture where agentic tools like Claude
Code and Gemini are core parts of the engineering workflow—not novelties, but
multipliers that let a small team ship like a big one. You'll guide your team in
adopting AI-augmented development practices, from code generation to testing to
documentation, and help define what "agentic software engineering" looks like at
Cover Genius.

You're joining early: the squad has one engineer today. You'll shape how we
hire, how we build, and how we deliver. This is a player-coach role where you'll
contribute technically while growing the team's capabilities and capacity.

Requirements

• 3+ years of engineering management experience, with a track record of building and developing high-performing teams.
• 6+ years of software development experience; you've shipped production systems and can evaluate technical decisions credibly.
• Strong technical foundation in modern backend technologies (Node.js/TypeScript, Python, or similar); experience with APIs and third-party integrations.
• Experience fostering AI-first development practices—you've guided teams to adopt agentic tools (Claude Code, Cursor, Gemini, or similar) as core workflow accelerators.
• Working understanding of LLMs beyond code generation: prompt engineering, context management, and knowing when AI tools add value vs. when traditional approaches are better.
• Understanding of microservices architectures, cloud infrastructure (AWS), and containerization (Docker/Kubernetes).
• Comfort with early-stage team building—you've operated in environments where processes were discovered along the way.
• Strong communication skills; able to align stakeholders, document decisions, and influence across function.

Nice To Haves

• Technical Excellence:
• Empowers engineers to achieve a high bar of engineering excellence; creates space for testing, automation, observability, and documentation.
• Drives quality through code reviews and design discussions; holds the team's work to high standards.
• Ensures the team owns operations of their systems—on-call rotas, incident response, and continuous improvement.
• Team Leadership & People Development:
• Creates an inclusive environment where engineers do their best work; seeks feedback and adapts ways of working.
• Coaches engineers in collaborative problem-solving, customer-centric thinking, and end-to-end ownership.
• Delivers timely, constructive feedback; develops talent and aligns individual growth with team success.
• Ownership & Delivery:
• Creates a culture of ownership and accountability; pushes for decisions to be made effectively and removes blockers.
• Aligns team work with product strategy and OKRs; focuses on outcomes, not just output.
• Proactively manages risk—escalates issues appropriately and keeps stakeholders informed.
• Brings together work from multiple contributors into cohesive, achievable plans.
• AI-First Mindset:
• Fosters a culture of responsible AI adoption; encourages experimentation while ensuring quality and security.
• Leads the team to evaluate and integrate AI tools that improve productivity, quality, and velocity.
• Understands the ethical and security implications of using AI tools with company data and code.
• Thinks in terms of leverage—automates the repetitive, focuses human attention on judgment calls.
• Helps the team adopt AI workflows; shares what works and raises the floor for everyone.
• Embodies Cover Genius's values: Bold, Authentic, Purposeful, and Inspired.

Responsibilities

• Design and develop technical solutions for our logistic partners – defining patterns that scale across many providers and product types.
• Drive technical excellence through code reviews, design discussions, and architectural decisions that balance speed with long-term maintainability.
• Own the team's delivery outcomes—track efficiency, adjust processes, and ensure high-quality work ships on schedule.
• Build and lead the Logistics engineering team—hire, develop, and retain top talent who thrive in an AI-first environment.
• Foster a culture of responsible AI adoption; guide the team to integrate AI tools into their workflows while ensuring quality and security standards are met.
• Partner with product and business stakeholders to prioritize the roadmap and translate partner needs into technical strategy.
• Establish observability and reliability standards; ensure the team owns the operations of their systems with proper on-call processes and incident response.
• Create an inclusive environment where engineers can do their best work; provide regular feedback and coaching that accelerates growth.

Benefits

• Flexible Work Environment - Our teams are hybrid. We work from home on Wednesdays and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.
• Flexible PTO. Taking time out is important for our teams to enjoy life and stay fresh.
• Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.
• Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.
• Social Initiatives - pictures [https://www.instagram.com/p/B9qnOuUpDVx/] speak a thousand words!

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 251-500 employees