Jobs / United States / Servicenow INC

Director of Engineering, HR Service Delivery

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 roles1 certified filing for “Director, Software Engineering – Digital Technology GTM” (Computer and Information Systems Managers) in TX: $209k–$209k, median $209k. 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.

Start free →

Or apply yourself on the official page →

Sponsor Radar — Servicenow INC

547 H-1B filings certified since Oct 2025

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: 01 / Mission & Impact At ServiceNow, we are building the single, unified intelligent platform that runs the modern enterprise. HR Service Delivery is the engine that transforms employee lifecycle management from manual, distributed overhead into autonomous, AI-driven workflows. We believe the future of HR technology isn't more people managing more systems. It's fewer, smarter people operating smaller teams enabled by generative and agentic intelligence. As the Director of Engineering, HR Service Delivery, you will establish a new operational model for how engineering teams scale their impact through AI and automation. Your mandate is to reduce the organizational footprint required to operate and evolve HRSD while simultaneously expanding what the product can do. You'll prove this model works on a focused scope, then grow into a bench leader for a broader engineering area. This requires both technical depth and strategic clarity. You'll architect end-to-end automation across the engineering process itself, from defect detection through complete pull requests. You'll translate complex AI concepts into scalable, production-ready systems. And you'll build a team culture that balances velocity with engineering rigor, where automation increases quality rather than just speed. 02 / Core Responsibilities Engineering Efficiency & AI Automation (50%) Design and execute a comprehensive automation strategy for your engineering organization. This spans defect identification and triage through code review and pull request generation. Evaluate where AI can genuinely reduce work without sacrificing oversight, and where human judgment remains critical. Build the infrastructure for AI-assisted development: integrating LLM tooling into your development pipeline, establishing monitoring and validation loops, and creating feedback mechanisms so the team continuously improves the automation itself. Measure relentlessly. Track engineering velocity, defect rates, time to resolution, and team satisfaction. Use productivity gains to fund new capabilities and expand into adjacent areas. The goal is reinvestment, not cost extraction. Product Leadership & Strategic Scope (40%) Own the HRSD product roadmap and technical architecture. Start with a tightly defined scope and use it to establish product-market fit and team credibility. As you prove the model works, expand into adjacent areas within HR Service Delivery. Lead cross-functional partnerships. Work with product management to translate market needs into engineering roadmap priorities. Collaborate with customer success to understand where automation creates the most value for customers. Partner deeply with Design. You'll shape how users experience the product. Work with the design team to translate technical capabilities into intuitive workflows, ensure product decisions are grounded in both feasibility and user need, and foster a shared language between engineering and design about trade-offs. Strong design thinking is how lean teams ship products users actually want to use. Establish technical standards and cultural norms. Define what good looks like for code quality, testing rigor, and AI system governance. Instill confidence that automation makes the product safer and more reliable, not faster and more brittle. Organizational Leadership & Growth (10%) Build and lead a team of 8-12 engineers. Hire for potential and rigor; invest in their growth. As you expand, mentor new engineering managers and share the playbook for lean, AI-enabled teams across the broader engineering organization.   03 / Candidate Profile We are searching for someone who combines deep technical credibility with operational clarity and entrepreneurial judgment. Classical Computer Science Foundation:

View the official posting →

Source: smartrecruiters First seen: 2026-10-07 Last confirmed: 2026-10-07 How our data works → Report this job

Similar opportunities