Principal Product Manager – Artificial Intelligence – Security
| Company | Splunk |
|---|---|
| Location | Washington, USA, California, USA |
| Salary | $144960 – $249150 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of proven success in product management.
- Application, network and infrastructure Security, SIEM, SOC and related experience.
- Deep understanding and several years of experience in product delivery of AI services, machine learning platforms and products, and generative AI.
- Strong understanding of infrastructure, networking, and security concerns in on-prem and cloud environments.
- Strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts and presentations.
- Champion an atmosphere of continuous product improvement by serving as a customer advocate and collaborating closely with sales, support, engineering to make judgment calls that best serve customers and the business.
Responsibilities
- Collaborate closely with your AI PM counterparts to deliver in depth AI integration across the entire product portfolio
- Engage with customers, develop insights into what is possible, and uncover unarticulated needs to ensure customer success.
- Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, design, TPM, and documentation.
- Collaborate with QA, SRE, and release teams to plan, drive and implement product release cycles.
- Collaborate with product marketing to support the creation of content.
- Engage with Compliance, Legal, and Finance teams to ensure products meet security, legal standards as well as address financial goals (for example cloud margin)
Preferred Qualifications
- Experience building AI capabilities at scale via platform services that serve multiple products with a focus on generative AI, machine learning, deep learning.
- Experience delivering compelling products incorporating artificial intelligence as part of the technical solution with tangible results of customer value, adoption, consumption leading to business growth.
- Deep understanding of AI and cybersecurity market and competition.
- Deep understanding of anomaly detection and its application to security and/or observability use cases.
- Continuously deliver results of product improvement through each stage of the product life cycle.
- Experience developing pricing strategy that met expectations and improved growth for the business.
- Strong negotiation skills paired with building trusting relationships within the team, the organization, customers and partners.
- Strong bias for action, creative thinking, innovation, and data-informed product decision-making.
- Exposure to cloud infrastructure and agile software development.
- Passion for solving interesting technical problems and building enterprise products with intuitive user experience.