Senior AI Architect & Cross‑Team Tech Lead

Fdetimes; San Francisco (CA); Hybrid; USD 297.000 - 350.000; Vollzeit

Benefits dieser Stelle

Mental health, wellness & fitness

Career coaching & support

Inclusive family building benefits

Long-term savings or retirement plans

In-office culinary options

Zusammenfassung

Asana's AI organization seeks a Senior Staff Software Engineer to set the technical direction across AI platform, agent systems, and Studio, guiding architecture across multiple teams in SF and beyond.

The role is based in San Francisco with an office-centric hybrid schedule (Mon Tue Thu in the office; some WFH on Wednesdays and optional Fridays depending on work). You will mentor engineers, shape AI strategy, and drive reliable, scalable ML infrastructure for enterprise use.

Qualifikationen

• 10+ years of building production software across multiple teams.
• 3+ years with LLMs or machine learning production systems.
• Proven track record leading architecture across orgs.
• Hands-on fluency with foundation models and evaluation methods.

Aufgaben

• Define technical vision and architecture for ASANA AI org.
• Collaborate with Product, Design, Data Science, Security, and Legal.
• Lead cross-team initiatives like agent runtime and orchestration.
• Set AI quality metrics with offline/online evaluation and monitoring.
• Guide model and vendor strategy, build vs buy.
• Mentor staff engineers and represent AI work externally.

Kenntnisse

Distributed systems

LLMs / AI systems

Architecture leadership

Mentoring engineers

Executive communication

Security & data governance for AI

Tools

Agent frameworks

LLM inference platforms

Jobbeschreibung

Asana's AI organization seeks a Senior Staff Software Engineer to set the technical direction across AI platform, agent systems, and Studio, guiding architecture across multiple teams in SF and beyond.

The role is based in San Francisco with an office-centric hybrid schedule (Mon Tue Thu in the office; some WFH on Wednesdays and optional Fridays depending on work). You will mentor engineers, shape AI strategy, and drive reliable, scalable ML infrastructure for enterprise use.