Senior Product Manager

PROTECT - Seattle, WA

Full-time - Mid Level

Seattle, WA

Publishing Industries

About the position

Protect AI is shaping, defining, and innovating a new category within cybersecurity around the risk and security of AI/ML. Our ML Security Platform enables customers to see, know, and manage security risks to defend against unique AI security threats, and embrace MLSecOps for a safer AI-powered world. This includes a broad set of capabilities including AI supply chain security, Auditable Bill of Materials for AI, ML model scanning, signing, attestation and LLM Security. Join our team to help us solve this critical need of protecting AI!

Responsibilities

• Define the product vision, strategy, and roadmap aligned with company goals and customer needs.
• Collaborate with cross-functional teams to gather requirements, prioritize features, and manage the product backlog.
• Conduct market research and competitive analysis to identify market trends, customer pain points, and opportunities for differentiation.
• Develop user stories, epics, and product requirements documents to communicate product features and functionalities effectively.
• Work with the design team to create wireframes, prototypes, and user flows that deliver an intuitive and seamless user experience.
• Partner with engineering to ensure successful product development, testing, and deployment.
• Stay up-to-date with industry trends, emerging technologies, and competitive landscape to identify opportunities for innovation.
• Gather and analyze customer feedback to continuously improve the product and inform future roadmap decisions.

Requirements

• 4+ years of Product Management experience in enterprise software, preferably in cybersecurity or AI/ML related domains.
• Proven track record of successfully launching complex enterprise technology solutions.
• Strong technical background with the ability to understand and communicate technical concepts to both technical and non-technical stakeholders.
• Excellent problem-solving skills and the ability to think strategically while executing tactically.
• Exceptional communication and stakeholder management skills, with the ability to influence and align cross-functional teams.
• Experience in collaborating with engineering teams using lower-case 'a' agile development practices.
• Excellent verbal and written communication.

Nice-to-haves

• Experience with ML model development lifecycle and MLOps practices.
• Familiarity with AI security frameworks, standards, and best practices (MITRE's ATLAS, etc).
• Knowledge of regulatory compliance requirements related to AI systems.
• Experience with AI security tools and platforms.
• SDE, DevOps, Solution Architect, or MLOps experience in a professional capacity.

Benefits

• An exciting, collaborative work environment in a fast-growing startup.
• Spacious office in the centre of Berlin.
• Competitive salary and benefits package.
• A culture that values innovation, accountability, and teamwork.
• Opportunities to contribute to our open source projects with thousands of Github stars.
• Work with a team of talented and well-accomplished peers from AWS, Microsoft, Google, and more.
• Work with best in class tools - M3 Macbook Pro, 34" Monitor, modern tech stack and high quality collaboration tools.
• No bureaucracy and legacy systems. You are empowered to innovate and do your best work.