Senior Software Engineer (AI)

Location: Vancouver, British Columbia, Canada; office-centric hybrid schedule with in-office days on Monday, Tuesday, and Thursday, work from home generally available on Wednesday, and Friday flexibility depending on the team and work.

Base salary: $176,000–$200,000 per year, plus potential equity, sales incentive pay where applicable, and benefits.

Company

Asana is a platform for human and AI collaboration used by teams worldwide to achieve important goals.

What you will do

• Drive technical design, architecture, and end-to-end delivery of medium-to-large projects across the AI roadmap.
• Design robust, extensible, and performant systems for agentic execution, prompt-driven automation, model orchestration, and enterprise-grade data boundaries.
• Solve complex technical problems by balancing technical debt, developer velocity, execution risk, latency, cost, determinism, maintainability, and business goals.
• Break ambiguous product visions into engineering milestones, anticipate customer and architectural risks, and manage cross-team dependencies.
• Write design documents, establish testing norms, run retrospectives, and promote technical excellence.
• Partner with Product Managers, Engineering Managers, Product Designers, and Data Scientists while mentoring engineers across levels.

Requirements

• 6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures.
• Technical leadership experience across multiple services or codebases.
• Practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure.
• Ability to author comprehensive technical design documents, evaluate architectural trade-offs, and make durable decisions.
• Experience acting as a Tech Lead or Area of Responsibility owner and driving multi-contributor projects from ambiguity to delivery.
• Ability to navigate cross-team dependencies and collaborate with Product Managers, Engineering Managers, Product Designers, and Data Scientists.
• Experience mentoring and coaching engineers, providing actionable code and design feedback, and establishing engineering best practices.
• Deep empathy for end-user experience, including how backend architecture and model behaviours affect user trust, interface latency, and workflow reliability.
• 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 culture with hybrid work practices.
• Mental health, wellness, and fitness benefits.
• Career coaching and support.
• Inclusive family-building benefits.
• Long-term savings or retirement plans.
• In-office culinary options and benefits that may vary by role, country, and local regulations.

Hiring process

• One streamlined technical interview process is used across the AI engineering teams.
• Team placement is determined after the interview experience based on the best match.