Senior Staff Software Engineer, Go-To-Market

Palo Alto Networks

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$145,000–$235,500 / yr
Posted
32 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $196k
This role $190k
$134k most similar roles pay here $246k

This role pays more than 57% of similar roles. Most pay $170,069–$222,625 — the shaded band above. At the midpoint, this role pays about $190k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Senior Staff Software Engineer, Go-To-Market

As a Senior Staff Software Engineer on the CPQ team, you will serve as a technical leader and subject matter expert responsible for architecting and designing scalable, reliable business systems. You will lead cross-functional teams to build an AI-led, secure, and scalable Configure Price and Quote platform, managing the entire lifecycle from prototype to deployment. Your daily work involves integrating foundational and agentic AI/ML workflows, establishing engineering standards in agile environments, and developing evaluation frameworks for LLM quality and system reliability. You will utilize Java, Spring Boot, Go, TypeScript, and Node.js while working with tools like Kubernetes, Jenkins, Git, Spinnaker, and Docker. The role focuses on solving complex business process challenges by implementing advanced technologies such as vector embeddings, semantic search, and prompt engineering to enhance the core go-to-market platform infrastructure.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Architect and design scalable, highly reliable business systems across multiple services and teams.
  • Lead the technical design and architecture of an AI-led, secure, and scalable CPQ platform from prototype to deployment.
  • Build and integrate foundational and agentic AI/ML workflows using generative AI technologies.
  • Establish evaluation and observability frameworks to measure AI quality and system reliability.
  • Implement prompt engineering best practices and ensure LLM security against risks like prompt injection.
  • Conduct deep technical design reviews and high-impact code reviews to foster engineering excellence.
  • Mentor engineers and establish engineering standards within an agile development environment.
  • Balance product stability and security debt against go-to-market pressures and timelines.

What we're looking for

  • Bachelor's degree with 10 years of experience, Master's with 8 years, or PhD with 5 years of related experience.
  • Proven ability to design and develop scalable web applications and integrations using microservices architecture.
  • Expert-level server-side software development experience using Spring Boot, Java, Go, or comparable technologies.
  • In-depth knowledge of object-oriented programming, data structures, algorithms, and design patterns.
  • Expertise in Java concepts including threading, generics, and annotations.
  • Knowledge of CI/CD platforms such as Kubernetes, Jenkins, Git, Spinnaker, and Docker.
  • Experience building production applications with LLM APIs and familiarity with vector embeddings and semantic search.
  • Understanding of prompt engineering best practices and LLM security considerations like input validation and prompt injection prevention.
  • Experience architecting conversational AI platforms, chatbots, or Text-to-SQL systems (preferred).
  • Knowledge of multi-turn dialogue management and conversation history patterns (preferred).
  • Background in TypeScript/Node.js for AI agent development (preferred).

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