Jobs / United States / Servicenow INC
Senior Manager - Machine Learning Engineering
Servicenow INC · 🇺🇸 Santa Clara, California, US
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 547 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 185 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 Servicenow INC paid sponsored hires in similar roles30 certified filings for “Senior Manager, Software Engineering Management” (Computer and Information Systems Managers) in CA: $227k–$255k, median $236k. 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).
- 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 — Servicenow INC
The US Department of Labor certified 547 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 185 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 Servicenow INC →
About the role
What you get to do in this role We are looking for a Senior Manager of Machine Learning Engineering to lead a team building the next generation of AI Search and Retrieval capabilities that power intelligent experiences across the ServiceNow platform including Conversational and Agentic experiences. You will lead engineers and machine learning practitioners responsible for designing and delivering highly scalable search, retrieval, ranking, recommendation, and RAG (Retrieval-Augmented Generation) systems that enable users to discover information, generate insights, and accomplish work more effectively. This leader will collaborate closely with Product Management, Applied AI, Platform Engineering, UX, and Quality Engineering to define strategy, execute roadmap commitments, and deliver AI-powered experiences that serve millions of users globally. You will play a critical role in advancing the technologies powering ServiceNow AI Search, Knowledge Retrieval, and GenAI experiences, while building a high-performing engineering culture focused on innovation, quality, and business impact. Responsibilities • Lead and grow a team of software engineers and machine learning engineers building large-scale AI Search and retrieval systems. • Drive the strategy, architecture, and execution for Search, Ranking, Relevance, Personalization, and RAG capabilities. • Partner with Product Managers and architects to define and deliver innovative AI-powered experiences. • Build scalable retrieval pipelines leveraging vector search, semantic search, ranking models, and large language models. • Improve relevance, precision, recall, and overall search quality across structured and unstructured enterprise content. • Establish architectural patterns for highly available, resilient, and performant distributed systems. • Lead the development and production deployment of machine learning models and retrieval services at enterprise scale. • Drive operational excellence, reliability, observability, and performance optimization across the platform. • Mentor engineering leaders and individual contributors while fostering a culture of collaboration, innovation, and technical excellence. • Partner with cross-functional stakeholders to evaluate emerging AI technologies and accelerate their adoption into customer-facing products. • Balance short-term delivery goals with long-term technical investments and platform evolution. To be successful in this role you have: • 12+ years of software engineering experience with a Bachelor's degree, or 10+ years with a Master's degree, or equivalent experience. • 3+ years of engineering management experience leading high-performing technical teams. • Strong expertise in Java or Python and large-scale distributed systems. • Hands-on experience with Search technologies such as Lucene, Elasticsearch, Solr, OpenSearch, Algolia, Coveo, Glean, or similar platforms. • Experience building and operating large-scale retrieval, ranking, recommendation, or search systems. • Experience with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG architectures. • Strong understanding of information retrieval, search relevance, ranking algorithms, and semantic search. • Experience deploying and operating machine learning models in production environments. • Knowledge of cloud-native architectures, microservices, observability, and performance optimization. • Strong collaboration and communication skills with the ability to influence across engineering and product organizations. • Proven track record of delivering innovative products from concept through production at enterprise scale. Preferred Qualifications • Experience building enterprise search, knowledge retrieval, or GenAI products. • Experienc