AI Teammates Experience Engineer | Full-Stack ML

Gomyneed Private Limited; San Francisco, Northern (CA, KY); Hybrid; USD 202,000 - 299,000; Full time

Job summary

Asana in San Francisco is seeking a Software Engineer for AI Teammates Experience to help build end-to-end AI-powered features. You will work on full-stack systems that enable users to guide and collaborate with AI Teammates, partnering with product, design, and platform teams.

The role emphasizes shipping impactful features, exploring conversational flows, human-in-the-loop workflows, and ways to increase user trust through thoughtful design and rapid experimentation.

Qualifications

• 3+ years of experience across the stack in large, well-maintained codebases.
• Experience building product features in complex technical domains; applied AI, prompting systems, evaluation infrastructure, or agent-style workflows is a plus.
• A track record of scoping and delivering impactful features with your team.
• Ability to bring structure, judgment, and collaboration to evolving AI/product challenges.

Responsibilities

• Drive full-stack development of robust systems and product surfaces enabling users to guide and work with AI Teammates.
• Collaborate with product, design, and platform teams to turn AI capabilities into intuitive surfaces.
• Contribute to next-generation AI interaction patterns, including conversational flows and human-in-the-loop workflows.
• Apply empathetic product judgment and rapid experimentation to iterate on features with measurable impact.

Skills

Full-stack development

AI/ML features

Cross-functional collaboration

Product judgment

Job description

Asana in San Francisco is seeking a Software Engineer for AI Teammates Experience to help build end-to-end AI-powered features. You will work on full-stack systems that enable users to guide and collaborate with AI Teammates, partnering with product, design, and platform teams.

The role emphasizes shipping impactful features, exploring conversational flows, human-in-the-loop workflows, and ways to increase user trust through thoughtful design and rapid experimentation.