Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 20 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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Elasticsearch INC paid sponsored hires in similar roles1 certified filing for “Senior Manager, Data Science” (Sales Managers) in CA: $275k–$275k, median $275k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 20 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 Elasticsearch INC paid sponsored hires in similar roles
- 1 certified filing for “Senior Manager, Data Science” (Sales Managers) in CA: $275k–$275k, median $275k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What Is The Role
At Elastic, we believe that search is more than just a box—it's a way to solve the world's most complex data challenges. As a Senior Services Sales Executive for our Enterprise Accounts segment , you will be the primary driver of professional services growth across our highest-value relationships across our Enterprise business in the U.S. This is a quota-carrying sales role: you own the full services sales cycle—from pipeline origination through commercial close—across a portfolio of Global 500 and industry-leading accounts.
You are not just a trusted advisor; you are a closer. You arrive with an established network of senior relationships in the enterprise segment—and you know how to activate them. You translate executive credibility and long-standing trust into pipeline, navigate complex organizational dynamics, and convert ambitious customer goals into scoped, commercially sound multi-million dollar engagement programs. You partner closely with Account Executives and Solutions Engineers to embed services as a strategic pillar of every account plan, and you work hand-in-hand with our delivery leaders to ensure what you sell lands with exceptional outcomes.
What You Will Be Doing
• Own Your Number: Carry and consistently achieve a services bookings quota across a named portfolio of Enterprise accounts. Build and maintain a healthy, stage-accurate pipeline with strong forecast discipline in Salesforce.
• Drive New Business: Proactively identify and originate services opportunities within existing accounts and new-to-services logos. You don't wait for the phone to ring—you map whitespace, uncover initiatives, and create demand.
• Lead the Full Services Sales Cycle: Run discovery, lead solutioning sessions, develop Statements of Work, structure creative commercial arrangements (T&M, fixed-fee, milestone-based), negotiate terms, and close. You own this process end-to-end.
• Sell Complex, Multi-Year Engagements: Architect and sell multi-phase, multi-million dollar programs tied to customers' largest transformation bets—modernization initiatives, platform migrations, security programs, and AI/analytics buildouts.
• Activate and Expand Your Network: You bring an established book of executive relationships in the enterprise segment—and you put them to work. From day one, you leverage existing trust with CTOs, CIOs, CISOs, and SVPs of Engineering to open doors, accelerate pipeline, and land early wins. Over time, you deepen those relationships and expand your reach into new stakeholders within the accounts you own.
• Partner with the Field: Work side-by-side with Account Executives and Solutions Engineers to co-develop account plans, align on services investment strategies, and present a unified value story to customers. You amplify—not duplicate—the field team. We are not order takers, but rather help shape the larger Elastic strategy with our customers.
• Develop Compelling Business Cases: Lead ROI conversations and construct value frameworks that link Elastic's services investments to measurable customer outcomes—reduced time-to-value, improved MTTD/MTTR, lower operational costs, faster p
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