Jobs / United States / Gong Io INC

Gong Io INC

Solutions Experience Engineer

Austin | Chicago | New York City | Salt Lake City | San Francisco Posted 7 days ago

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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 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first.
  • 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.
  • What Gong Io INC paid sponsored hires in similar roles1 certified filing for “DevOps Engineer” (Software Developers) in NY: $168k–$168k, median $168k.
  • 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 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 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 Gong Io INC paid sponsored hires in similar roles
1 certified filing for “DevOps Engineer” (Software Developers) in NY: $168k–$168k, median $168k. 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).

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

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. The Solutions Experience Engineer is a high impact role focused on world class demo engineering and automation, helping others see the real business outcomes Gong can drive. This role owns the design, build, and continuous improvement of persona based demo environments, sandboxes, and the automated tooling that keeps them running at scale. Externally, the role also extends outward to support our partners and Go-To-Market teams with demo assets and technical depth. You'll sit at the center of how Gong's platform story gets told, giving you visibility into nearly every function that drives it and a direct line of sight into how Gong positions and sells its platform. RESPONSIBILITIES • Design, build, and document demo solutions and workflows that demonstrate clear business outcomes across buyer personas. • Partner with Product and Engineering to integrate new feature releases and manage end to end sandbox environments, including datasets, uptime, lifecycle, capacity, and technical issue resolution. • Create high impact technical collateral and reusable demo assets for internal GTM teams. • Leverage AI tools to build, prototype, and scale internal tooling and demo solutions that reduce manual work across the team. • Build and maintain automated pipelines for provisioning, refreshing, tearing down, and monitoring the health of demo environments and datasets. • Research emerging market trends and continuously automate improvements to demo architecture, positioning, and persona based data generation. • Lead demo based GTM initiatives, managing timelines, milestone deliverables, and technical risk mitigations. • Track sandbox adoption metrics and regularly communicate new demo features and usage trends to field teams. • Report project status, usage analytics, and performance insights to Presales and Partner Leadership and the GTM Demo Committee. • Join select strategic calls and solution reviews for key ecosystem partners where demo depth is needed. • Conduct tailored technical demonstrations to enable and upskill internal GTM teams on new platform functionality and feature updates. • Deliver platform demos at a select number of high value industry conferences, executive briefings, and analyst reviews (e.g., Gartner). QUALIFICATIONS • 5+ years of experience in Demo Engineering, Solutions Engineering, Sales Engineering, or a technical automation role. • Education & Background: Bachelor’s degree in Engineering, Computer Science, or practical experience in a comparable technical domain. • Programming & Automation: Hands-on experience with a programming or scripting language (e.g., Python, JavaScript) and/or

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