Senior Staff AI Platform Architect

Asana, Inc.; San Francisco (CA); Hybrid; USD 297,000 - 350,000; Full time

Benefits offered by this job

Mental health & wellness

Career coaching

Family building benefits

Long-term savings/retirement plans

In-office dining options

Job summary

Asana, Inc. seeks a Senior Staff Software Engineer to set the technical direction for the AI organization and tackle the hardest cross-team problems. You will shape architecture and influence product strategy as AI features scale across the Work Graph.

Based in San Francisco with an office-centric hybrid schedule, you will mentor engineers and lead initiatives on agent runtime, memory, evaluation, and reliable inference at enterprise scale.

Qualifications

• 10+ years of production software experience across multiple teams.
• 3+ years building production systems with LLMs or ML.
• Proven track record leading architecture across org boundaries.
• Strong communication across engineers to executives and strategy.
• Experience with multi-tenant enterprise SaaS and security is a plus.

Responsibilities

• Define the AI org technical vision and architecture with leadership.
• Partner with Product, Design, Data Science, Security, and Legal to mature AI features for enterprise.
• Lead cross-team initiatives such as agent runtime, orchestration, context/memory for agents, and enterprise-scale inference.
• Set AI quality metrics through offline/online evaluation, monitoring, and feedback loops.
• Make and guide high-stakes decisions on model and vendor strategy, build vs. buy.
• Mentor staff and senior engineers, grow tech leads, and raise architectural standards.
• Represent Asana's AI engineering work externally through talks, writing, and the technical community.

Skills

Production software leadership

LLM/ML systems

Architectural leadership

Distributed systems

Executive communication

Tools

Agent frameworks

LLM inference infrastructure

Job description

Asana, Inc. seeks a Senior Staff Software Engineer to set the technical direction for the AI organization and tackle the hardest cross-team problems. You will shape architecture and influence product strategy as AI features scale across the Work Graph.

Based in San Francisco with an office-centric hybrid schedule, you will mentor engineers and lead initiatives on agent runtime, memory, evaluation, and reliable inference at enterprise scale.