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About the Role

As a Senior Staff Engineer, you will own the architecture of a security harness with a novel exploitability engine end to end, making decisions that shape everything downstream. You will set technical direction, make defensible decisions, and multiply the impact of the engineers around you. This role is part of a zero-to-one incubation building a new class of exposure analysis that ranks security work by exploitability.

Responsibilities

Own the end-to-end architecture of the exploitability engine, from evidence ingestion and entity resolution, through the attack-path probability core and choke-point ranking, to the validation loop.
Make model-shaping architecture decisions, including calibrated probability versus ordinal rank, identity as a first-class graph edge, assume-breach seeding, and critical asset definition.
Develop the probabilistic ranking core, including edge-traversal probability, guided path search, correlated-control-failure modeling, and uncertainty bands.
Build the calibration and validation loop to turn modeled weights into evidence.
Define make-or-break metrics as first-class engineering targets, such as entity-resolution accuracy and calibration quality.
Develop the build-on strategy, extending the existing portfolio rather than rebuilding.
Lead zero-to-one work at production scale, turning ambiguous problems into reliable systems.
Drive technical direction across architecture, design, and code reviews.
Raise the engineering bar across the incubation.
Mentor senior engineers and lead by influence.
Partner with product, security R&D, and SecOps to translate customer problems into architecture and actionable decisions.
Establish AI safety, security, governance, and guardrails for agentic systems in production.

Requirements

A track record of owning architecture across a large system or multiple teams.
Deep experience operating production-quality software.
Hands-on depth in both agentic and LLM systems and probabilistic or ML-driven scoring.
Proven zero-to-one at scale experience.
Judgment to make consequential architecture decisions under uncertainty.
Command of distributed systems, APIs, cloud-native development, and data or graph systems.
Expert-level Python, and/or Java, Go, or TypeScript.
Technical leadership and mentorship that moves teams through influence.
10+ years of software engineering experience, including leading the design and delivery of complex production systems.
Demonstrated experience as the technical owner or lead for a major system or across teams.
Depth building AI/ML-powered production systems; probabilistic modeling, graph analytics, or calibration and evaluation is a strong plus.
Modern AI experience: LLMs, RAG, embeddings, vector search, agentic harness and workflows, model evaluation, or AI observability.
Strong programming experience in Python and/or Java, Go, or a similar language.
Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures.
Cybersecurity or security-product experience, or familiarity with modern security architectures and operations, is strongly preferred.
Experience with AI-assisted development tools and coding agents such as Claude Code, Codex, Cursor, or Windsurf is a plus.
Experience with AI evaluation, safety, governance, or policy guardrails is a plus.

Skills

Predictive Modeling
Graph ML
Security Analytics
Anomaly Detection
Risk Scoring
LLMs/Agentic AI
MLOps
Python
Java
Go
TypeScript
Distributed Systems
APIs
Cloud-Native Development
Data Systems
Graph Systems
AI-assisted development tools
Coding agents
AI evaluation
AI safety
AI governance
Policy guardrails
Attack-path analysis
Vulnerability management
Identity security
Threat intelligence
Detection and response
RAG
Embeddings
Vector search
Agentic harness and workflows
Model evaluation
AI observability

Location

AMS - North America and Canada

Work Type

Flexible

Experience Level

Senior Staff Engineer
10+ years of software engineering experience

Education Level

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience.

Salary/Compensations

$201,300 - $352,300

Benefits

Equity (when applicable)
Variable/incentive compensation
Health plans
Flexible spending accounts
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs

About the Company

ServiceNow is the AI control tower for business reinvention, bringing together any AI, any data, and any workflow to help businesses work smarter, faster, and better.
We're building an AI-native culture where technology and talent are unstoppable together.
The Security and Risk Engineering organization builds scalable, AI-powered security solutions that reduce risk and protect ServiceNow and its customers.
We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning.

Equal Opportunity

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law.
All qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.