Sr Director IT Engineering, GTM AI Applications

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Qualifications

Your Experience

Leadership and Communication

• Exceptional people-management skills, acting as a Player/Coach to inspire and foster desired behaviors.

• Outstanding verbal and written communication skills, coupled with executive presence.

• Strong enterprise communication, business acumen, and financial understanding.

• Proven track record of thought leadership (e.g., technical articles, conference speaking, open source contributions).

Business and Strategic Acumen

• Extensive experience with Go-to-Market (GTM) applications, particularly the Opportunity to Quote lifecycle.

• Excellent analytical skills and a demonstrated ability to translate detailed data analysis into actionable strategic insights to drive customer adoption and provide business recommendations.

• Demonstrated ability to work effectively across internal and external organizations, building consensus and driving results.

• Proven ability to reduce organizational friction and implement scalable mechanisms.

Technical Leadership

1. Agentic AI & Generative Workflows

• Autonomous Sales & Commerce Agents: Proven experience building agentic workflows using frameworks like LangChain, LlamaIndex, AutoGPT, or CrewAI to automate multi-step commercial processes (e.g., automated RFPs, dynamic quote generation, automated lead nurture).

• RAG (Retrieval-Augmented Generation): Deep expertise in architecting high-accuracy RAG pipelines using vector databases (Pinecone, Milvus, Weaviate, Qdrant) to ground LLMs in internal product catalogs, pricing rules, and sales collateral.

• LLM Engineering & Fine-Tuning: Fine-tuning open-source models (Llama 3, Mistral) vs. orchestrating proprietary foundation models (OpenAI GPT-4, Anthropic Claude, Google Gemini); prompt engineering, guardrailing (NeMo Guardrails), and context window optimization.

2. Predictive Analytics & Machine Learning

• CPQ ML Engines: Hands-on architecture experience with personalized recommendation algorithms (Collaborative Filtering, Neural Collaborative Filtering, Graph Neural Networks), dynamic pricing engines, search relevance engines, and automated visual search.

• Sales Intelligence ML: Predictive lead scoring, opportunity win/loss modeling, churn prediction, account propensity-to-buy (P2B) scoring, and automated deal health assessments.

3. CPQ & Revenue Ecosystem Architecture

• Commercial Platform Integrations: Direct experience embedding AI microservices into enterprise CRM and Commerce suites, including Salesforce SAP Commerce Cloud / CX, Adobe Commerce / Magento, Commercetools, or Zuora.

• Headless & Microservices Architecture: Experience deploying AI capabilities via API-first, composable architecture patterns (REST, GraphQL, gRPC) directly into customer-facing storefronts and seller interfaces.

4. MLOps, LLMOps & Enterprise Infrastructure

• Production MLOps: Enterprise experience with ML lifecycle management platforms (MLflow, Kubeflow, Databricks, AWS SageMaker, Vertex AI), model drift detection, automated retraining loops, and A/B testing infrastructure.

Preferred Qualifications

• Master's Degree or PhD in Engineering or a related STEM field is preferred.

• 15+ years of experience in Product Application Engineering.

• Expertise in enterprise AI productivity tools and platforms.

• Modernization Mindset: Proven experience in leveraging AI and automation to modernize governance. Demonstrated success in transitioning programs from manual, spreadsheet-based processes to automated, self-healing platforms.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$264,300.00 - $362,725.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes