Jobs / United States / Asana INC
Senior Implementation Manager
Asana INC · 🇺🇸 Chicago
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 roles1 certified filing for “Program Manager, Learning and Development” (Human Resources Managers) in CA: $186k–$186k, median $186k. Most were filed at wage level II (100%) — 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
About the Role We are looking for a consultant who thrives at the intersection of process design, cross-functional coordination, and customer outcomes. As Asana transitions from Collaborative Work Management (CWM) to AI Workflow Management (AWM), you will lead enterprise customers through that same transformation — helping them define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan, and driving measurable impact across their highest-value workflows. You will design and lead structured, time-bound engagements — from onboarding through workflow launch — that move customers from seeing Asana as just a work management platform, to a platform where teams and agents execute work together. This requires strong judgment, the ability to operate in ambiguity, and a consistent focus on connecting AI capabilities to business outcomes. You will regularly engage both executive stakeholders and front-line teams, adapting your approach to meet customers where they are and move them forward. What You'll Do You will lead customers through structured engagements in partnership with Customer Success, Sales, Solutions, and R&D to drive valuable adoption of AI. Account Setup and Implementation Planning • Lead a structured onboarding engagement — aligning customer stakeholders on platform setup, workflow priorities, and a shared definition of success, while assessing workflow complexity to identify where AI capabilities will deliver the strongest early impact. • Document and hand off a clear implementation plan — capturing recommended and prioritized workflows, known risks, and next steps so the activation phase can begin with full context and stakeholder alignment. AI Activation & Customer Check-Ins • Lead end-to-end workflow design and build – guiding customers through deep discovery and process mapping, hands-on workflow configuration, and user acceptance testing to deliver production-ready workflows with AI capabilities embedded throughout. • Coordinate cross-functional delivery across a structured time-bound engagement – aligning workflow owners, IT and business stakeholders, and end users through kickoff, training, and launch while keeping the engagement on track against defined milestones. • Develop clear documentation and forward-looking deployment plan – capturing what was built, decisions made, and a prioritized roadmap that defines how the customer scales AI usage, including recommendations on what to optimize and where to expand next to continue driving broader adoption. • Lead recurring check-ins with customers – assessing workflow performance and AI adoption, surfacing pain points, and identifying where additional implementation support can unlock new workflows or use cases - alongside account teams. Cross-Functional Responsibilities • Act as the connective tissue between delivery and growth - surface expansion signals during delivery, represent the voice of the customer internally, and partner with the account and R&D teams to translate customer momentum into growth. • Bring structure and repeatability to the delivery motion – define engagement processes, document decisions, and create repeatable frameworks that scale across a portfolio of customers to drive account momentum and program improvement. About You • Customer Experience: experience in customer-facing implementation or consulting roles, ideally leading structured onboarding or deployment engagements at a SaaS company or consulting firm. Experience deploying AI-powered workflows or enterprise AI tools is a strong plus. • AI & Platform Fluency: You have a solid understanding of AI and generative AI technologies — including AI workflow design, agent orchestration, enterprise AI platforms, and data governa