C

Cyberhaven

AI-driven data lineage for insider risk

Senior Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience managing successful enterprise security products to drive fast-growing businesses.
  • Experience with cross-platform endpoint software and endpoint telemetry collection, including endpoint security areas such as endpoint detection and response, endpoint protection platform, and data loss prevention.
  • Experience with large-scale endpoint software deployments and the ability to consider their implications for users and the business.
  • A history of managing successful enterprise products in early-stage startups while balancing limited engineering resources with customer and sales-team demands for features and quality.
  • Ability to communicate clearly and effectively with company executives, customers, and engineers, and collaborate with customer success and services, engineering, marketing, and sales groups.
  • Ability to build rapport with customers, prospects, analysts, and competitors, and leverage an existing network to gather market and product intelligence.
  • Deep understanding of technology, strong intuition for estimating product-feature complexity, and ability to communicate effectively with engineers.
  • Experience managing scalable enterprise software platforms and building products for large enterprises, including role-based access control, directory integration, enterprise software deployment, and performance management.
  • Proven history of developing products that meet the needs of a wide variety of large enterprise customers while remaining efficient for engineering to build.
  • Experience working closely with user experience designers, customers, and engineers to create modern user interfaces that simplify customers' work.
  • Experience using a data-driven approach to product decisions.
  • Availability to communicate frequently with a distributed engineering team in the Central European time zone and other teams in US time zones.
  • Located in Europe.

Responsibilities

  • Develop and lead the product strategy and vision for endpoint sensor capabilities.
  • Collaborate with cross-functional teams to design, build, and launch endpoint capabilities that address data detection and response use cases.
  • Interact with current and prospective customers to understand their needs and the actual and perceived value of the product.
  • Track cybersecurity and adjacent-market trends to identify market opportunities; research competitors' product functionality, pricing, and positioning, and how buyers and industry analysts perceive those products.
  • Lead endpoint product development initiatives from conceptualization through deployment, integrating AI technologies to address insider threats.
  • Prioritize the product roadmap in alignment with the product vision, sales needs and revenue objectives, and customer satisfaction.
  • Communicate product requirements and vision to Engineering; write, edit, and prioritize user stories; clarify and refine stories with engineers; track their development; and set, track, and enforce the Definition of Done.
  • Write and maintain requirements documents and ensure the team understands what is being built and why.
  • Serve as an external spokesperson, maintain a social media presence, and speak at conferences.
  • Partner with Marketing on product announcements and launches.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

Recently Posted Jobs

Explore more opportunities at Cyberhaven

See more jobs