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About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About Data Security Posture Management (DSPM)
DSPM is designed to provide comprehensive data visibility and contextual security for the modern AI-driven enterprise. Our platform automatically discovers, classifies, and secures sensitive data across diverse environments including AWS, Azure, Google Cloud, Oracle Cloud, on-premise infrastructure, as well as SaaS applications like Microsoft Sharepoint and Salesforce. DSPM is critical in empowering CISOs and security teams to enforce data security practices, reduce compliance risk, and maintain continuous data protection at scale.
About the team
We are a distributed team of passionate engineers dedicated to continuous learning and building impactful products. Our core product is built from the ground up in Scala, Kafka, Star Rocks, leveraging the Lightbend stack (Play/Akka).
As a key member of the DSPM team, you will contribute to developing innovative and scalable systems designed to protect the exponentially increasing volume of enterprise data. Our platform continuously maps sensitive data across all major cloud providers, and on-prem environments, automatically detecting and classifying sensitive and regulated data types such as PII, PHI, financial, and healthcare information. It flags data at risk of exposure, exfiltration, or misuse and helps prioritize and remediate issues based on sensitivity, exposure, and business impact.
Responsibilities
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Own and drive the strategic evolution of the DSPM platform to detect sensitive and high-risk data at scale across complex enterprise ecosystems.
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Lead AI/ML strategy and execution, leveraging public and private LLMs to deliver advanced analytics and intelligent risk insights.
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Architect and evolve multi-cloud, on-prem, and emerging technology support, designing systems that span multiple teams and services.
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Drive high-impact, cross-team and org-level initiatives, identifying systemic gaps and defining durable, long-term solutions.
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Provide technical leadership across the full lifecycle—from research and architecture to delivery and operational excellence.
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Partner with Product and executive stakeholders to shape clear, scalable technical direction and execution plans.
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Ensure platform reliability and customer trust through architectural rigor and resolution of complex production challenges.
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Elevate engineering standards, processes, and trade-offs across scalability, cost efficiency, and agility.
Qualifications/Requirements
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15+ years of experience building enterprise-grade software systems.
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Proven track record designing and developing distributed, scalable, high-performance cloud services, preferably on AWS.
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Expert-level programming skills in Scala or Java.
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Deep understanding of database systems and data warehousing concepts, including OLTP and OLAP architectures.
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Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
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Demonstrated ability to operate effectively in fast-paced environments, managing multiple priorities and responsibilities.
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Experience leveraging cloud-based AI services (e.g., AWS Bedrock, Sage Maker), vector databases, and Retrieval Augmented Generation (RAG) architectures is a plus.
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Proven ability to solve complex, cross-organizational technical challenges, proactively anticipate risks, and develop scalable, reusable solutions that unblock teams and drive long-term impact.
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Strong communicator who effectively aligns cross-functional stakeholders, bridges technical and business perspectives, and navigates complex situations with clarity and sound judgment.
Education
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Bachelor's degree in Computer Science.
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Masters degree strongly preferred.
Compensation:
At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.
The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions.
For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.
In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site.
Salary Range**$128,000—$260,500 USD**
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
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About Netskope

Netskope
Series F+Held company.
1,001-5,000
Employees
Denver
Headquarters
$7.5B
Valuation
Reviews
3.6
1 reviews
Work Life Balance
2.0
Compensation
3.0
Culture
2.5
Career
3.0
Management
2.5
20%
Recommend to a Friend
Cons
Poor work-life balance expectations
Required to work beyond standard 40 hours
Expected to work until 8pm local time
Salary Ranges
35 data points
Junior/L3
Junior/L3 · ANALYTICS SPECIALIST I
1 reports
$59,824
total / year
Base
$52,021
Stock
-
Bonus
-
$59,824
$59,824
Interview Experience
47 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 62%
Neutral 26%
Negative 12%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
Abstract Security partners with Netskope to bring real-time detection into security data streams - SiliconANGLE
Source: SiliconANGLE
News
·
5w ago
Telefónica Tech unveils Netskope-based SSE for UK, Ireland - IT Brief UK
Source: IT Brief UK
News
·
5w ago
Has The Recent Slide In Netskope (NTSK) Created A Fair Entry Point For Investors? - simplywall.st
Source: simplywall.st
News
·
6w ago
Massachusetts Financial Services Co. MA Makes New Investment in Netskope Inc. $NTSK - MarketBeat
Source: MarketBeat
News
·
6w ago