Director, Product Management - AI Experiences
Cisco11 Locations$217k – $288kPosted 1 April 2026
Job Description
The application window is expected to close on: 04/01/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Product Management Director - AI Experiences Join us as we pursue our disruptive new vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people passionate about our product and seeking to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun, and, most importantly, to each other’s success. We're looking for a highly technical, design savvy, and AI forward Product Manager to lead the charge in terms of AI Experiences across Splunk. AI Experiences at Splunk represents our vision for how users will engage with AI to accelerate investigations, discover insights, and collaborate across teams. It includes defining interaction models for natural language, agentic workflows, proactive guidance, multi-modal investigation canvases, and cross-product AI patterns that unify Splunk and Cisco offerings. You will shape how AI becomes a core part of every user journey in Splunk. In this role, you will collaborate with designers to improve the user experience and work closely with engineers to bring that experience to life. Beyond design and engineering, you will also need to collaborate with marketing, program management, legal and documentation to help your team deliver success to your customers. As a PM at Splunk, your primary role is to understand your customers and help provide clarity for your team. In addition to driving the product forward and delivering high quality, you will need to bring a dose of empathy to your day-to-day in order to help your team grow. As they say, great products are built by great teams! Responsibilities: Define the vision and strategy for AI-powered user experiences across Splunk Platform Partner with AI/ML teams to translate model capabilities into meaningful customer workflows Collaborate with Design to define new interaction patterns (NL, agentic actions, conversational UX, multimodal interfaces) Engage with internal and external customers regularly to gather feedback and validate value proposition Diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software Collaborate with product marketing and technical writers to support creation of customer driven messaging and content Formulate and execute GTM strategy to drive adoption and help app developers unlock value with Splunk Requirements: BS, MS, or PhD in Engineering, Computer Science or related major 10+ years of experience in product management, consulting, co-founder or related technical role 5+ years of experience building and shipping technical products Experience building AI-native workflows in enterprise/SaaS products Familiarity with agentic systems, LLM orchestration, or natural language interfaces Strong storytelling skills and ability to define end-to-end customer journeys Proven people management and leadership skills, and a proven track record of launching data-driven products Passionate about building and fostering good engineering practices and processes, test-driven development, continuous integration, and build/test/release automation Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really ... (truncated, view full listing at source)
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