Staff Software Engineer - Lead AI Deployments & Mentorship

ServiceNow

Waltham (MA)

On-site

USD 150,000 - 262,000

Full time

7 days ago
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Benefits offered by this job

Health plans
401(k) Plan with company match
ESPP

Job summary

ServiceNow is seeking a Staff Software Engineer for the GAIL Core Team to own the hardest engagements, set quality standards, and build scalable infrastructure. This hands-on, customer-facing role develops and enforces reusable patterns across deployments.

You will lead complex go-lives, evolve the playbook, and mentor engineers while partnering with product and engineering to close feedback loops.

Qualifications

  • 6+ years of software engineering experience in enterprise or customer delivery.
  • Strong coding in JavaScript and at least one of Java or Python.
  • Experience deploying AI features and GenAI models in real customer environments.
  • Familiarity with prompt engineering and tuning non-deterministic outputs.
  • Ability to follow and contribute to playbooks and standard processes.
  • Mentor and ramp engineers with strong cross-team collaboration.
  • Excellent communications across technical and non-technical stakeholders.

Responsibilities

  • Lead the most complex GAIL engagements including large-scale deployments and go-lives.
  • Own and evolve the GAIL playbook with gates and sequences.
  • Build and push shared GAIL tooling across engagements.
  • Mentor and ramp incoming GAIL engineers through onboarding and coaching.
  • Capture patterns and feed into knowledge base for reuse.
  • Drive quality standards across the GAIL practice.
  • Partner with product and engineering to surface field feedback.

Skills

JavaScript
Java
Python
GenAI deployment
Prompt engineering
Mentoring
Customer-facing comms

Tools

Now Assist
AI Agents

Job description

ServiceNow is seeking a Staff Software Engineer for the GAIL Core Team to own the hardest engagements, set quality standards, and build scalable infrastructure. This hands-on, customer-facing role develops and enforces reusable patterns across deployments.

You will lead complex go-lives, evolve the playbook, and mentor engineers while partnering with product and engineering to close feedback loops.

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