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Asana

Builds software for teams to plan and track work

Senior Staff Engineer - AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 10 years of experience building production software, including significant time as a technical lead whose work spanned multiple teams.
  • At least 3 years of experience building production systems with large language models or machine learning, such as agents, retrieval, evaluation, or inference infrastructure.
  • A track record of leading architecture and initiatives across organizational boundaries, with decisions that proved right over time.
  • Hands-on fluency with the current AI landscape, including foundation models, agent frameworks, tool use, and evaluation methods, with the ability to set direction and adapt based on new evidence.
  • Deep experience with distributed systems and the reliability, latency, and cost challenges of running them at scale.
  • Ability to communicate with engineers during design reviews and executives during strategy discussions, and to bridge product, business, and technical language.
  • Experience coaching and mentoring engineers, including senior and staff-level engineers.
  • Curiosity about AI tools and emerging technologies, with willingness to use them to enhance productivity, collaboration, or decision-making.

Responsibilities

  • Define the technical vision and architecture for the AI organization, including AI platform, agent systems, and Studio, in partnership with engineering and product leadership.
  • Partner with Product, Design, Data Science, Security, and Legal to take AI products from prototype to reliable, trusted enterprise features.
  • Lead strategic initiatives spanning multiple teams, including agent runtime and orchestration, agent context and memory grounded in the Work Graph, and reliable, cost-efficient large language model inference at enterprise scale.
  • Set standards for measuring AI quality, including offline and online evaluation, production monitoring, and feedback loops that improve agents based on real usage.
  • Make and guide technical decisions on model and vendor strategy, build-versus-buy choices, and shared platform abstractions, ensuring decisions remain effective over time.
  • Influence research and development-wide AI strategy by sharing a grounded view of the model and agent landscape with senior leadership.
  • Mentor staff and senior engineers, develop tech leads across the AI organization, and raise standards for design and architecture reviews.
  • Represent Asana’s AI engineering work externally through talks, writing, and the technical community, and help attract senior talent.

Desired Qualifications

  • Experience with multi-tenant enterprise software as a service, and with security, privacy, and data governance for AI systems.

About the Company

Asana

Builds software for teams to plan and track work

Asana builds work management software for teams that need to coordinate projects across departments, from marketing campaigns to product launches. Its shared workspace turns plans into assigned tasks with deadlines, so colleagues see who owns each step and how work is progressing. Teams organize projects in lists, boards, calendars, or timelines, collect requests through forms, and use dashboards to monitor progress across projects. It sells monthly and annual subscriptions with paid tiers for advanced planning, reporting, and administration, alongside a free plan for basic task management. Asana was founded in 2008 and is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2008

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