Software Engineer (AI)

Location: Vancouver, British Columbia, Canada; office-centric hybrid schedule with in-office days on Monday, Tuesday, and Thursday. Most employees may work from home on Wednesdays; Friday work-from-home availability depends on the work and partner teams.

Base salary: $146,000–$162,000 per year, plus possible equity, sales incentive pay for most sales roles, and benefits.

Company

Asana is a platform for human and AI collaboration used by millions of teams worldwide, focused on technology that helps people achieve important goals.

What you will do

• Own the end-to-end implementation of small-to-medium features and services powering intelligent collaboration and agentic automation.
• Write clean, modular, well-tested code across the stack and evaluate latency, cost, and reliability trade-offs when integrating foundation models, prompt pipelines, and workflow orchestration logic.
• Maintain and improve Areas of Responsibility, monitor production pipelines, participate in on-call rotations, and diagnose complex bugs across asynchronous and distributed systems.
• Break specifications into engineering milestones, provide technical estimates, and execute work that advances AI Suite adoption.
• Improve code quality, advocate for test coverage and technical debt remediation, and conduct rigorous code reviews.

Requirements

• 2+ years of professional software engineering experience shipping production code in modern distributed architectures, web services, or data-intensive systems.
• Strong command of software design fundamentals, testing practices, and data structures.
• Experience or curiosity working with LLMs, prompt pipelines, vector databases, or agentic frameworks.
• Ability to interpret technical specifications, evaluate trade-offs, identify risky or complex changes early, and ship to production with minimal oversight.
• High standards for code health, including well-structured, maintainable, self-documenting code, comprehensive test plans, and logical pull-request breakdowns.
• Experience collaborating with Product Managers, Designers, Data Scientists, and engineers while communicating progress clearly and surfacing blockers early.

Nice to have

• Curiosity about AI tools and emerging technologies, with willingness to learn and use them to improve productivity, collaboration, or decision-making.

Culture & Benefits

• Office-centric hybrid culture with flexibility to work from home on specified days depending on role and team requirements.
• Mental health, wellness, and fitness benefits.
• Career coaching and support.
• Inclusive family-building benefits.
• Long-term savings or retirement plans and in-office culinary options.
• Benefits may vary by role, country, and local regulations.

Hiring process

• Centralized interview process for software engineers across multiple AI teams.
• Team matching takes place at the end of the interview process.