openleverjobgether
Senior Staff Product Manager, Purple AI
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-20T10:17:19.031000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:4d69b766-8b0e-4d99-af69-c96fefc1156f
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Product Manager, Purple AI based in United States. This is a high-visibility product leadership role focused on shaping the next generation of AI-powered cybersecurity. You will own the vision, strategy, and execution of agentic AI capabilities designed to transform modern security operations. The role combines enterprise product management, generative AI, cybersecurity, and conversational user experiences. You will guide products from early concept and 0-to-1 development through launch, iteration, and measurable business impact. Working closely with engineering, research, sales, marketing, pricing, and executive stakeholders, you will turn complex opportunities into scalable products. You will also define evaluation frameworks and data strategies that improve AI quality, reliability, and customer value. This is an opportunity to influence how AI reshapes security operations while operating in a fast-moving, highly collaborative environment. Define and champion the product vision and strategy for Purple AI and next-generation agentic security capabilities, aligning product priorities with customer needs and business growth. Own the complete product lifecycle, from ideation and discovery through 0-to-1 development, launch, iteration, and optimization. Use product metrics, user research, market intelligence, and customer feedback to identify opportunities and build a customer-centric roadmap. Architect product approaches for generative and agentic AI experiences, balancing technical complexity, usability, safety, quality, and business value. Establish and refine online and offline evaluation metrics that measure AI quality and customer-perceived value, while developing strategies for sourcing and improving the data that powers models and pipelines. Make informed product decisions in ambiguous or incomplete environments, clearly framing trade-offs, managing risk, and creating alignment across cross-functional teams. Partner closely with engineering and technical teams to translate product strategy into scalable AI capabilities and ensure successful execution. Collaborate with sales, marketing, and documentation teams to develop compelling product positioning, messaging, and adoption strategies. Maintain end-to-end ownership of strategic initiatives, ensuring teams remain aligned and products are delivered to a high standard. Act as a senior product leader and trusted partner to executive stakeholders, communicating complex technical and strategic concepts clearly and persuasively. Travel internationally or domestically up to approximately 15% to meet customers and collaborate with teams in person. Requirements 8+ years of enterprise product management experience, with cybersecurity product experience strongly preferred. 5+ years of hands-on experience building AI/ML products, including meaningful exposure to generative AI and agentic AI. 3+ years of experience launching 0-to-1 enterprise software products and taking products from concept through market delivery. Bachelor’s or advanced degree in computer science, data science, or a related technical field, or equivalent professional experience. Strong technical understanding of AI/ML technologies, including generative AI, agentic systems, natural language processing (NLP), and retrieval-augmented generation (RAG). Demonstrated ability to navigate ambiguity, structure complex problems, evaluate trade-offs, and make sound decisions balancing technical feasibility, user experience, and commercial value. Strong ownership mentality, with a track record of persistence, accountability, initiative, and delivering measurable outcomes. Exceptional written and verbal communication skills, with the ability to influence audiences ranging from technical teams to senior executives. Hands-on experience using AI tools to improve product management workflows
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