Jobs / United States / Sigma Computing INC
Customer Success Architect
Sigma Computing INC · 🇺🇸 New York City, NY
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 30 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 12 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 Sigma Computing INC paid sponsored hires in similar roles1 certified filing for “Customer Success Manager” (Sales Engineers) in NY: $128k–$128k, median $128k. 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 — Sigma Computing INC
The US Department of Labor certified 30 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 12 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 Sigma Computing INC →
About the role
Customer Success Architect (CSA) team provides technical expertise for the post-sales customer experience. Customer Success Architects are responsible for making sure that our customers are meeting their objectives. They are a vital component of our company’s success, working with customers, partners, and product teams to deliver success for our valued customers. CSA supports multiple post-sales roles including GTM, Support, & Product. What You Will Be Doing • Sigma champion and product expert, customers will look to you for advice and expertise • Advisor to our customers on technical best practices including • Sigma best practices and patterns • Performance and tuning • Security including SSO, team organization, and row-level security • Embedded and API access • Related data products like CDW, ETL, and catalog tools • Capture product feedback from customers and engage with the product team to improve our product roadmap • Identify new use cases to grow accounts and find areas where Sigma can provide the most value to ensure renewals • Cultivate customer references for the marketing team • Design and develop software solutions for Business Intelligence and analytics products while providing technical expertise for post-sales customer success. • Working directly with customers to understand business and technical requirements and implementing tailored analytics solutions in customer environments; advising customers on best practices for implementation, performance, security, embedded analytics, and API access; collaborating with Product Managers and Engineering teams to deliver and improve customer solutions; • Documenting software and technical implementations; monitoring deployed solutions and troubleshooting complex technical issues; and learning product capabilities, release processes, and maintenance procedures to ensure successful customer outcomes. Qualifications We Need • Minimum 10 years of business intelligence experience working in a customer-facing technical role (customer success or consulting) • Customer relationship skills • Experience with database concepts • Data warehouse experience - cloud data warehouse preferred (Snowflake, Redshift, BigQuery) • Designing, developing, and writing software and custom solutions using technologies such as JavaScript/TypeScript, SQL, React, GraphQL, and GitHub • ETL experience • Experience implementing production business intelligence solutions • Familiarity with JavaScript and Web Development is a plus • Bachelor’s degree in computer science or related field or equivalent technical experience • Ability to work remotely full-time with up to 50% travel (eventually) Qualifications We Want (also, skills you’ll learn!) • Experience at a SaaS company or with cloud architectures • Experience with data analytics business use cases • Startup experience Additional Job details The base salary range for this position is $130k - $230k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more t