Senior Staff Software Engineer, Go-To-Market (GTM)

Palo Alto Networks•Office - USA - CA - Headquarters, CA

5d•$145,000 - $235,500•Hybrid

About The Position

As a Senior Staff Software Engineer to join our CPQ (Configure Price and Quote) team, you will serve as the recognized subject matter expert, bringing industry best practices to our architectural design. You will act as a technical leader, using first-principles thinking to dissect complex challenges and drive the development of company objectives. This role requires working autonomously to lead cross-functional teams in creating AI Led, Secure, Scalable CPQ Platform that transform our business processes. This is an in office role in our HQ, Santa Clara, CA three days/week.

Requirements

Bachelor's degree with a minimum of 10 years of related experience; or a Master's degree with 8 years of experience; or a PhD with 5 years of experience.
Proven ability to design and develop scalable web applications, and integrations using microservices architecture
Expert-lever server-side software development experience using Sprint/Spring Boot, Java, Go, and/or other comparable technologies.
In-depth knowledge about object-oriented programming, data structures, algorithms, and design patterns.
Expert in Java concepts like threading, generics, annotations etc.
Knowledge in CI/CD platforms including Kubernetes, Jenkins, Git, Spinnaker, Docker, or related tools.
Experience building production applications with LLM APIs (Google Vertex AI /Gemini, OpenAI, Anthropic, or similar)
Familiarity with Large Language Models (LLMs) and their practical application in business insights
Familiarity with vector embeddings, semantic search, and similarity-based retrieval patterns
Understanding of prompt engineering best practices and LLM security considerations (input validation, prompt injection prevention)
Must be local to the SF Bay Area for onsite/hybrid work

Nice To Haves

Experience architecting conversational AI platforms, chatbots, or Text-to-SQL systems
Knowledge of multi-turn dialogue management and conversation history patterns
Background in TypeScript/Node.js for AI agent development

Responsibilities

Architect and design scalable, highly reliable business systems across multiple services and teams
Lead the technical design and architecture of AI Led, Secure, Scalable CPQ Platform, owning the process from prototype through deployment
Build and integrate foundational and agentic AI/ML workflows, ensuring the secure and effective use of GenAI technologies in our products.
Expert at operating in an agile development environment; establish engineering standards and best practices
Balance security debt, product stability, and features against a backdrop of go-to-market pressures and timelines
Lead deep technical design reviews, perform high-impact code reviews, mentor engineers, and foster a culture of engineering excellence and continuous learning.
Establish evaluation and observability frameworks to measure AI quality (accuracy, hallucination rates, query correctness) and system reliability
Understanding of prompt engineering best practices and LLM security considerations (input validation, prompt injection prevention)