Jobs / United States / Asana INC
Software Engineer, AI Teammates Experience
Asana INC · 🇺🇸 San Francisco
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 43 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 32 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Asana INC paid sponsored hires in similar roles21 certified filings for “Software Engineer” (Software Developers) in CA: $171k–$220k, median $195k. Most were filed at wage level II (48%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Asana INC
The US Department of Labor certified 43 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 32 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Asana INC →
About the role
Asana is seeking an experienced and empathetic Software Engineer to join our AI Teammates Experience team. Asana’s AI Teammates are fundamentally changing the way teams collaborate in and outside of Asana by giving teams access to AI agents that can take on tasks and collaboratively work with human colleagues to complete them. You’ll be building engaging experiences that enable our customers to work effectively with their AI Teammates. You’ll build the interaction and product surfaces for teams, users, and admins, working closely with foundation teams on prompting systems, evaluation/testing infrastructure, and agent capabilities. We’re looking for an engineer who is passionate about AI, curious to learn about everything from how people interact with agents to prompt engineering. This role can be based in our San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the team AI Teammates Experience owns the end-to-end user-facing experience of AI Teammates, from first discovery and adoption through ongoing collaboration. We build for three core audiences: teams, admins, and individual users. We help teams create, discover, interact with, and manage their AI Teammates; help admins deploy AI Teammates successfully in their organization; and help users discover and work with their Personal Teammates. About Asana AI Teammates AI teammates are autonomous, specialized AI agents designed to work alongside human teams, handling complex, multi-step workflows like product management, customer service, and sales. They can help teams make progress across workflows around the clock, share context to boost productivity, and act as collaborators rather than just chatbots. What you’ll achieve • Drive full-stack development of robust systems and product surfaces that enable users to guide and work alongside their AI Teammates. • Collaborate with cross-functional product, design, and platform teams to turn cutting-edge AI capabilities into intuitive product surfaces that provide clear value for teams. • Contribute to the next generation of interaction patterns for AI, from conversational flows and human-in-the-loop workflows to experiences that maintain context over time and build user trust. • Apply empathetic product judgment and rapid experimentation to iterate on features, ensuring high quality, usability, and measurable impact. We're building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. About you • Have 3+ years experience working across the stack within large, well-maintained codebases. • Have experience building product features in complex technical domains; experience with applied AI, prompting systems, evaluation/testing infrastructure, or agent-style workflows is a plus. • Have a track record of working with your team to scope and deliver impactful features. • Are able to bring structure, judgment, and collaboration to evolving AI/product challenges. • Enjoy working in a highly cross-functional environment with product, design, and other engineering partners. • Engage with your colleagues in a spirit of openness and curiosity. • Find AI fascinating and are excited about its potential to improve how people work. • Communicate clearly and collaborate effectively across functions. • Demonstrates curiosi