Forward Deployed Engineer

Posted 4 Days Ago
Be an Early Applicant
7 Locations
In-Office or Remote
170K-190K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Cybersecurity • Generative AI • Data Privacy
Protect your data with Cyberhaven's reimagined data loss prevention and insider threat solution
The Role
As a Forward Deployed Engineer, you'll work closely with customers to deploy and validate Cyberhaven's CI stack, troubleshoot issues, and enhance product functionality while collaborating across various teams.
Summary Generated by Built In

About the role

As a Forward Deployed Engineer (FDE) in Cyberhaven’s R&D organization, you will embed deeply with enterprise customers deploying Cyberhaven’s Content Inspection (CI) stack in their own cloud or datacenter environments (AWS, GCP, Azure, Kubernetes). You operate where real customer environments meet product engineering—turning complex deployments, failures, and edge cases into concrete product and reliability improvements.This role is hands-on, highly technical, and outward-facing. You are part of R&D, and will partner with SRE, Sales Engineering, Professional Services, and Customer Support to accelerate successful customer outcomes while strengthening CI’s architecture, operability, and scalability as DSPM on-prem connectors become the norm.

What you’ll do

  • Act as an R&D owner for customer deployments of on-prem and hybrid Content Inspection (CI), ensuring real-world requirements inform product behavior and roadmap decisions.

  • Work directly with customers to architect, deploy, and validate CI in production environments, including Kubernetes, Helm, networking, security, and performance considerations.

  • Lead investigation of complex customer issues by reproducing them in lab or test clusters, either delivering fixes or driving them to resolution within R&D.

  • Serve as a technical point of contact for high-severity CI incidents, joining customer bridges and coordinating resolution across R&D, SRE, and Customer Support.

  • Partner with SRE on reliability, capacity planning, upgrade safety, and operational readiness for on-prem CI.

  • Collaborate with Sales Engineering during late-stage evaluations and technical deep dives to ensure CI can meet customer architecture, scale, and security requirements.

  • Co-lead deployments and upgrades with Professional Services, validating prerequisites, reviewing configurations, and shaping best practices for repeatable success.

  • Act as the R&D point person for DSPM on-prem connectors, supporting design partners, validating new capabilities, and enabling large-scale customer rollouts.

  • Drive product improvements by owning feedback related to diagnostics, observability, configuration safety, upgrade/rollback behavior, and supportability.

  • Create internal design notes, runbooks, and technical documentation that bridge customer reality and engineering intent.

  • Participate in design reviews, release readiness, and post-incident retrospectives to ensure customer learnings are captured and acted on.

Who you are

  • 3+ years of experience in Forward Deployed Engineering, Production Engineering, SRE, or customer-facing roles embedded within an R&D or product engineering organization.

  • Deep, hands-on experience with Linux, containers, and Kubernetes (EKS, GKE, AKS, or self-managed clusters).

  • Experience delivering and operating on-prem or hybrid enterprise software, including Kubernetes platforms and virtual appliances.

  • Strong understanding of enterprise networking and security (TLS, DNS, load balancers, proxies, firewalls).

  • Skilled at debugging distributed systems using logs, metrics, and traces, and comfortable navigating unfamiliar systems quickly.

  • Confident working directly with enterprise customers on architecture discussions, deployments, and high-severity incidents.

  • Product-minded: you naturally turn customer friction into actionable engineering improvements.

  • Clear communicator who can operate across engineering, go-to-market, and customer-facing 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

AWS
Azure
Containers
GCP
Helm
Kubernetes
Linux
Networking
Security
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The Company
HQ: Mountain View, CA
237 Employees
Year Founded: 2016

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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