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Sr Manager, IT Software Engineering

Palo Alto Networks

Office - USA - CA - HeadquartersFull TimeSeniorH-1B sponsor company
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Location
Office - USA - CA - Headquarters
Employment
Full Time
Work model
On-Site
Level
Senior
H-1B history
168 approvals (FY2023)
Posted

Skills

Cybersecurity

About this role

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

Sr. Engineering Manager, Sales AI & Applications Job Summary We are seeking a strong engineering leader to build and lead the next generation of AI-powered applications for our Sales organization. This role will lead teams building modern enterprise applications, AI-powered seller experiences, intelligent workflows, agentic systems, and shared platform capabilities across the Sales technology ecosystem. The scope spans full-stack product engineering, backend services, AI and context architectures, data platforms, event-driven systems, and integrations with enterprise systems. This is an application engineering leadership role. The ideal candidate has a strong software engineering and architecture foundation, has built production-grade applications at scale, and understands how to incorporate AI into real enterprise workflows, not just prototypes or isolated AI features. The leader will operate as a player/coach: setting technical direction, developing strong engineers, making architecture decisions, staying close to implementation, and driving complex initiatives from concept through production. You will partner closely with Product, Sales Operations, Data, AI, Security, and other engineering teams to build products that improve seller productivity, account intelligence, pipeline execution, opportunity management, forecasting, and the overall seller experience. This is an in-office role at our HQ in Santa Clara, CA, 3 days/week.

Key Responsibilities

Engineering Leadership: Build, lead, and develop a high-performing team of full-stack, backend, AI, and platform engineers. Establish strong engineering practices while remaining close enough to architecture and implementation to guide critical technical decisions. Sales AI Applications: Lead the architecture and delivery of AI-powered Sales applications including seller command centers, account and opportunity intelligence, conversational experiences, recommendations, next-best actions, forecasting, workflow automation, and agentic use cases. Full-Stack Product Engineering: Own modern application development across frontend experiences, APIs, backend services, application data stores, asynchronous processing, event-driven systems, and integrations with enterprise platforms. AI & Agentic Engineering: Drive practical adoption of LLMs, retrieval and context architectures, agents, tool calling, model orchestration, evaluation frameworks, observability, and human-in-the-loop workflows. Take AI capabilities from experimentation into reliable, secure, production-grade systems. Application & Platform Architecture: Define scalable architecture patterns across applications, services, AI systems, data, and integrations. Make pragmatic architectural and build-vs-buy decisions based

Listing verified . Applications go through the company's official careers site.

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