Jobs / United States / Mongodb INC
Senior Forward Deployed Engineer
Mongodb INC · 🇺🇸 United States
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 93 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 30 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 Mongodb INC paid sponsored hires in similar roles29 certified filings for “Software Engineer” (Software Developers) in NY: $132k–$161k, median $132k. Most were filed at wage level II (41%) — 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 — Mongodb INC
The US Department of Labor certified 93 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 30 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 Mongodb INC →
About the role
Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production. This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap. This role will be based remotely in the United States (East Coast). Responsibilities Customer success • Serve as the primary technical owner for customer engagements from initial discovery through production rollout • Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome • Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence Technical integration • Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments • Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams • Work effectively within customer environments that have different stacks, infrastructure, and integration constraints Product feedback loop • Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward • Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap • Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work Workstream collaboration • Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities • Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery • Make sound engineering decisions under pressure while building and iterating quickly Engagement management • Coordinate independently across internal teams and customer stakeholders to keep delivery moving • Communicate clearly across technical, business, and executive audiences Qualifications Basic qualifications • 5 - 8 years of engineering experience required • Hands-on production engineering experience, including writing code, debugging failures, and implementing fixes directly • Engineering experience in AI and agentic development • Experience with developing and deploying software within enterprise environments • Experience shipping production solutions at scale that customers relied on • Experience building integrations across existing systems and infrastructure • Strong troubleshooting and code review skills, including the ability to identify root causes and drive resolution • Willingness and ability to travel up to 30% to customer sites as needed for on-site engagements, technical reviews, and presentations Preferred qualifications • Experience with LLMs, agent frameworks, or deploying AI systems in production • Prior experience in an FDE or similar forward-deployed engineering role About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, a