It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
For positions in this location, we offer a base pay of $221,200 - $387,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong understanding of agentic architectures , including planning and reasoning, tool use, context and memory, multi-agent systems, evaluation, observability, guardrails, and human-in-the-loop patterns
- Strong technical foundation in software architecture, distributed systems , cloud-native platforms , data systems, and APIs, with the ability to go deep into architecture and code
- Experience designing and building highly performant and scalable distributed systems
- Strong proficiency in Python and experience with modern AI frameworks and infrastructure, experience with Java, Go, or similar languages is valuable
- An innovator's mindset with the ability to challenge conventional approaches, identify opportunities created by rapidly evolving AI technology, and turn ambitious ideas into working products
- Ability to operate effectively in ambiguity and balance rapid experimentation with the rigor required for enterprise-grade security products
More about this role
The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products.
- Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge systems, and advanced ML techniques.
- Explore and apply emerging AI capabilities to solve complex cybersecurity problems in fundamentally new ways—not simply augment existing products with AI.
- Define technical architecture and engineering standards that improve scalability, reliability, performance, and maintainability .
- Partner closely with Product, UX, security researchers, customers, and engineering leaders to identify high-value problems and translate them into differentiated...
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