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We are seeking a high-energy, results-driven Sr Enterprise Account Executive with a proven "hunter" mentality to drive significant new business sales revenue through our SaaS licensing model. You will be responsible for defining and executing a territory and account strategy to penetrate a defined set of high-potential prospects. This is a field-based role that requires proactive engagement, relationship building, and deep consultative selling expertise, with a focus on leveraging AI to drive client value.

Join the Tech&Product team as an AI/LLM Engineer, focusing on prompt engineering, multi-agent orchestration, automated testing, and deploying integrations in production with LLM systems. You'll work closely with Backend Engineers to deliver world-class AI experiences to end users. Core responsibilities include designing and optimizing prompts for production voice and chat LLM applications, architecting multi-agent systems, and building automated testing and validation frameworks for LLM outputs.

$84,000–$115,000/yr
US Unlimited PTO

The CX Enablement Manager plays a central role in equipping Customer Experience (CX) teams with the content, training, and resources needed to perform effectively. This role will be responsible for managing the CX enablement hub, designing and deploying scalable learning content, and driving cross-functional coordination across business systems, product marketing, and leadership.

At Palo Alto Networks, you will be at the forefront of securing the evolving Artificial Intelligence (AI) landscape as an AIRS Solutions Specialist. The Solutions Specialist will support the go-to-market (GTM) strategy and execution for our rapidly growing AI security solutions. This role will be instrumental in accelerating the adoption of our solutions that help customers secure the creation and usage of AI applications, including homegrown AI and popular generative AI tools.

Strengthen analytics layer and accelerate advancements in clinical diagnostics and therapies designed to improve brain health. Design and maintain canonical data representations and automated data pipelines that power scientific products, from automated scientific reports to interactive dashboards. Develop and monitor the team’s automated biosignal processing pipelines that generate the analytics layer inputs. Turn scientific questions into robust, versioned data products, working alongside engineers, product managers, scientists, and clinicians.