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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 using canaries, purple-team and incident replay, and calibration measured by zone and vector.
- Establish make-or-break metrics as first-class engineering targets, such as entity-resolution accuracy and calibration quality.
- Define the build-on strategy, extending the existing portfolio by identifying reusable components and net-new requirements.
- Lead zero-to-one work at production scale, transforming ambiguous problems into reliable systems.
- Drive technical direction across architecture, design, and code reviews, and elevate engineering standards.
- Mentor senior engineers and lead through 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 large systems or multiple teams, with deep experience operating production-quality software.
- Hands-on depth in both agentic and LLM systems and probabilistic or ML-driven scoring, including graph modeling, calibration, search and optimization, or risk and probability engineering.
- Proven experience taking ambiguous problems to reliable production systems at scale.
- The judgment to make consequential architecture decisions under uncertainty and defend them to engineers and executives.
- 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 influences teams.
- Applied interest in security problems such as attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response is strongly preferred.
- Experience with AI-assisted development tools and coding agents is a plus.
- Experience with AI evaluation, safety, governance, or policy guardrails is a plus.
- 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.
- Familiarity with 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.
Skills
- Agentic systems
- LLM systems
- Probabilistic scoring
- ML-driven scoring
- Graph modeling
- Calibration
- Search and optimization
- Risk engineering
- Probability engineering
- Distributed systems
- APIs
- Cloud-native development
- Data systems
- Graph systems
- Python
- Java
- Go
- TypeScript
- AI-assisted development tools
- Coding agents
- AI evaluation
- AI safety
- AI governance
- Policy guardrails
- AI/ML-powered production systems
- Probabilistic modeling
- Graph analytics
- Model evaluation
- Vector search
- Agentic harness
- Agentic workflows
- AI observability
- Scalable architectures
- Cybersecurity
- Security products
- Modern security architectures
- Modern security operations
Location
- AMS - North America and Canada
Work Type
- Flexible
- Regular
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 AI, data, and workflows to help businesses work smarter, faster, and better.
- We're building an AI-native culture where technology and talent are unstoppable together.
- Join us to put AI to work for people.
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.