About the role
We're looking for a QA Engineer who thrives in fast-moving, dynamic environments. You'll be the voice of quality and the advocate for our customers, ensuring every release feels polished, intuitive, and reliable. This means going beyond checking functionality - you'll deeply consider the user experience, catch rough edges before our customers do, and push for improvements that matter.
Your team is a mix of developers, QAs, SDETs, PMs, and managers building together in a startup-like setting. Things move quickly, priorities shift, and collaboration is key. You'll work closely with engineers to test complex cloud applications, debug issues across environments, and validate features that may involve AI-driven behavior and large-scale data systems. Technical skills can be learned, but the mindset we value most is being proactive, curious, and obsessed with delivering a great experience to our customers.
What you’ll do
Perform regression testing.
Find and report bugs, and maintain the bug life cycle.
Create, extend and document test plans.
Perform exploratory testing for new and existing features.
Define and implement a testing strategy.
Help prepare product releases.
Participate in product management discussions, keep close track of how the product specifications are implemented.
Who you are
Experience manually testing desktop applications with a focus on diagnosing issues through API inspection and debugging.
Eagerness to learn: have a strong passion for learning and a curiosity about new technologies and approaches in software testing and development.
Break-it mentality: can identify, anticipate, and prevent subtle software defects and various corner cases where things can go wrong.
Attention to detail with a strong focus on how product quality impacts the customer experience.
Comfortable working in a fast-moving environment and with a dynamic team.
A proactive approach to continuous improvement.
Experience with techniques for manually testing of web or cloud-based applications.
Excellent written and spoken English.
Preferred candidates will have:
Experience with techniques for manually testing Web and desktop applications.
Exposure to cloud platforms and understanding of concepts like clusters, nodes, or data pipelines.
Ability to debug or investigate issues in Kubernetes environments or BigQuery tables.
Familiarity with SaaS application integrations and testing APIs.
Understanding of cybersecurity or data security principles.
Background in startup or fast-paced product teams.
Joining Cyberhaven is a chance to revolutionize data security. Traditional tools fall short, but we’ve reimagined protection with AI-enabled data lineage that analyzes billions of workflows to understand data, detect risk, and stop threats. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, alongside experts driven to help customers protect their most valuable information.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Top Skills
What We Do
Cyberhaven was founded by computer scientists and security experts from MIT and EPFL to rethink data security. Instead of stopping threats at the perimeter, we trace the full lineage of sensitive data, where it originates, how it moves, and who uses it. This breakthrough became the foundation of our data lineage platform, now powering Cyberhaven’s leadership in data detection and response and protecting enterprises from insider threats and data loss.
Our Data Detection and Response solution transforms how enterprises protect their data with a unique technology called data lineage. Cyberhaven records every event for every piece of data – every move, copy, edit, and share to fully understand how data moves throughout your company. We developed an architecture that achieves complete visibility of your data, including as it transits unmanaged cloud apps and unmanaged devices.
As data moves throughout your company, from person to person and application to application, it fragments and gets combined with other data. We calculate the lineage for every piece of data starting with its origin through every step it takes. Our product allows you to define what is risky for your organization, enforce actions to protect data, and educate your workforce in real time.
Why Work With Us
Cyberhaven is a Series D unicorn in AI-driven data security, protecting 300+ customers like Motorola, Reddit, and Snowflake. We solve next-gen DLP by tracing full data lineage and enabling real-time insights. As a value-driven company with remote and hybrid work, you’ll grow alongside bold thinkers, making real impact.
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