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Software Engineering Manager Jobs in British Columbia

Engineering Manager, Travel

Vancouver, BC · Hybrid

CA$240K - CA$300K/yr

Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep ... Engineering Manager to build and lead it. This is a rare from-scratch opportunity: a large ...

Participate in all parts of software engineering, ranging from design and implementation of software solutions to testing and peer review * Collaborate with engineers on building and optimizing our ...

Senior Software Engineer

Vancouver, BC · On-site

CA$91K - CA$113K/yr

The ideal candidate brings strong software engineering fundamentals, sound technical judgment ... Partner closely with Product Management, Architecture, UX, SRE, and peer engineering teams to shape ...

Software Development Engineer II

Burnaby, BC · On-site

CA$124K - CA$155K/yr

We're seeking a Software Engineer II to shape the tooling and infrastructure that power the next ... You'll report to the AI Platform Engineering Manager and play a critical role in building and ...

Showing results 41-60

Software Engineering Manager information

See British Columbia salary details

$82.5K

$148.1K

$198K

How much do software engineering manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for software engineering manager in British Columbia is $148,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

What are the most commonly searched types of Software Engineering jobs in British Columbia?

The most popular types of Software Engineering jobs in British Columbia are:

What are popular job titles related to Software Engineering Manager jobs in British Columbia?

For Software Engineering Manager jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Software Engineering Manager jobs in British Columbia look for?

The top searched job categories for Software Engineering Manager jobs in British Columbia are:

What cities in British Columbia are hiring for Software Engineering Manager jobs?

Cities in British Columbia with the most Software Engineering Manager job openings:

Infographic showing various Software Engineering Manager job openings in British Columbia as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $148,147 per year, or $71.2 per hour.

Senior Engineering Manager, AI Agents

Asana

Vancouver, BC • On-site, Remote

Full-time

Retirement

Posted 22 days ago


Job description

We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. Currently in beta with Fortune 500 customers, AI Teammates represents Asana's shift from tracking work to getting work done.

We're looking for an Engineering Manager to lead the Agent Orchestration team - the team building the connections to other systems that allow Asana AI to serve the highest-value workloads. This means building the integration capabilities, agent skills, and vertical use cases that make AI Teammates extraordinarily useful across enterprise tools and workflows. You'll manage a senior team of six engineers (ICs up to L6) working at the intersection of systems integration and emerging AI capabilities to architect the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance.

This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team shaping how enterprises collaborate with AI agents across their entire tool ecosystem, and drive the technical direction for one of the most impactful applied AI challenges in the industry. You'll also flex into org-level engineering leadership across the broader Asana AI group, contributing beyond your direct team.

About Asana AI

Asana AI is the company's number one priority. We're building the future of human/AI collaboration - going beyond chatbots to integrate AI into everyday workflows for some of the biggest companies on the planet.

Asana's AI Teammates deliver a secure, multi-player, enterprise-grade agentic experience. They're transforming Asana from a place where work is tracked to a place where work gets done. Our AI teams move quickly, with a track record of successful launches, and we're just getting started.

Agent Orchestration is the team building the connective tissue between Asana's AI agents and the broader enterprise ecosystem. We're tackling hard problems: How do you build an agent skills system that lets Teammates acquire and use new capabilities dynamically? How do you create deep integrations across tools like Slack, Teams, and other enterprise platforms so agents can operate wherever work happens? How do you deliver vertical use cases that make AI Teammates extraordinarily useful for specific, high-value enterprise workflows - all while meeting security and compliance requirements at scale?

We're a senior team, fast-moving, and directly shaping Asana's AI platform strategy.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you'll achieve

  • Lead and grow the Agent Orchestration team (~6 senior engineers, ICs up to L6), setting technical direction for the systems that connect Asana's AI agents to the broader enterprise ecosystem
  • Drive the architecture and execution of agent skills, deep integrations, and vertical use cases that make AI Teammates the most capable agents in enterprise workflows
  • Partner with Product, Design, and Data Science to define and execute on roadmap priorities that directly support Asana's top company priority
  • Drive alignment across AI teams on shared infrastructure, APIs, and patterns for agent development and integration
  • Improve team delivery pace, champion engineering velocity, and drive AI coding adoption across the team
  • Attract, retain, and develop exceptional senior engineering talent
  • Flex into org-level engineering leadership work across the broader Asana AI group, contributing beyond your direct team

What makes this challenging 

You're leading the team building the connections that make AI agents genuinely useful across the enterprise - in one of the fastest-moving domains in technology. The AI landscape shifts weekly - new model capabilities, new integration patterns, new enterprise requirements. You'll need to set durable technical direction while staying adaptive. You're building systems that span multiple external platforms and protocols, handling complex stateful workloads and diverse API surfaces - all while meeting enterprise SLAs for reliability and compliance. And you're doing all of this while growing and retaining a team of senior engineers who have no shortage of options.

About you

  • 8+ years of experience in software engineering, including 4+ years managing technical teams
  • Interest and passion for applied AI, large language models, and agentic systems is essential - you bring genuine enthusiasm and a commitment to building in this domain
  • Strong systems integration and platform-building experience, with a track record of connecting complex systems across diverse environments
  • Proven ability to set technical direction and drive alignment across multiple teams on shared infrastructure and patterns
  • Demonstrated ability to attract, develop, and retain senior engineering talent
  • Comfortable with ambiguity - you thrive in zero-to-one product environments and drive clarity from complexity
  • Effective cross-functional collaborator who builds strong partnerships with Product, Design, Data Science, and peer engineering teams
  • Deeply curious about AI and emerging technologies, actively leveraging them to elevate product experiences, sharpen decision-making, and move faster.
  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Strong candidates may also have

  • Applied AI experience in production environments, particularly moving beyond demos to reliable, impact-driven deployments
  • Familiarity with agent capability patterns: skill acquisition systems, tool integration frameworks, and dynamic capability routing
  • Understanding of emerging protocols (e.g., MCP, A2A) for standardizing how agents interact with tools and each other
  • Track record of driving engineering velocity improvements and developer productivity tooling adoption (e.g., AI coding tools)
  • Experience building deep integrations across enterprise platforms (Slack, Microsoft Teams, Salesforce, etc.)
  • Experience with production observability and evaluation frameworks for AI systems

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we'll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $238,000-$270,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.