Jobs / United States / Adobe INC
Analyst, Order Management
Adobe INC · 🇺🇸 Lehi
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 1,036 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 221 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 Adobe INC paid sponsored hires in similar roles10 certified filings for “Sales Operations Analyst” (Operations Research Analysts) in CA: $145k–$215k, median $175k. Most were filed at wage level III (30%) — 3 lottery entries, ≈46% 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 — Adobe INC
The US Department of Labor certified 1,036 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 221 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 Adobe INC →
About the role
The Challenge: In Revenue Operations, our vision is to simplify and innovate to make it easy for our customers to do business with Adobe. As stewards of Adobe’s global quote-to-cash business processes, we aim to delight customers and interested parties. We do this through standardized processes and automated solutions. These are supported by inquisitive people who adapt to evolving business needs. We move quickly, so the business can move quickly and capitalize on opportunities to support the creativity of our customers. We are an organization committed to meaningful impact and foster a culture of diversity, inclusion, and continual growth and learning. Within Revenue Operations, the Growth Order Management Team facilitates the integration lifecycle for order management systems, processes, and personnel of Adobe’s acquisitions. What You'll Do • Leverage Salesforce, Microsoft Dynamics 365, SAP (S/4 HANA, CC, and CI), and related systems to review enterprise sales opportunities, quotes, and customer contracts, ensuring seamless downstream invoicing, provisioning, revenue recognition, and reporting. • Review sales pipeline activity and deal structures to proactively identify potential booking, compliance, or customer experience risks, partnering with interested parties to resolve issues during the deal lifecycle. • Perform recurring reconciliations, audits, and controls using Excel, Power BI, and other reporting tools to ensure accurate revenue booking, recording, and operational data integrity. • Collaborate with global and multi-functional teams to improve data quality, streamline processes, and enhance operational performance through automation, innovation, and systems integration. • Collaborate with Deal Desk, Revenue Assurance, Sales Operations, Credit, Legal, Sales, Professional Services, Product Delivery, Tax, Finance, and both enterprise customers and channel partners. Help support complex business transactions across these teams. • Contribute to month-end and quarter-end close activities, supporting increased operational volume and critical business deadlines when necessary. • See opportunities to reduce manual effort, improve scalability, and enhance decision-making through process improvements, automation, and adoption of AI-powered solutions. What You'll Need to Succeed Required Qualifications • Bachelor's degree in Business, Finance, Accounting, Operations, or a related field, or equivalent professional experience. • Strong written and verbal communication skills with the ability to collaborate effectively across technical and non-technical teams. • Advanced proficiency in Microsoft Excel and experience working with large datasets and complex reporting requirements. • Experience with enterprise business systems such as SAP (S4HANA, ECC, CC), Salesforce, Microsoft Dynamics, SharePoint, or comparable CRM, ERP, and information management platforms. • Strong analytical and problem-solving skills, experienced in assessing complex agreements, investigating discrepancies, and independently driving issue resolution. • Exceptional attention to detail, organizational skills, and a commitment to accuracy and operational excellence. • Demonstrable ability to manage competing priorities, adapt to changing business needs, and deliver results in a fast-paced environment. • Customer-focused mentality with good interpersonal and interested party management skills. Preferred Qualifications • Experience focused on Revenue Operations, Revenue Assurance, Order Management, Quote-to-Cash, or related operational finance functions. • Familiarity with Power BI, data visualization, and business intelligence reporting. • Demonstrated experience using AI tools responsibly to improve workflows, enhance productivity, identify au