Jobs at White Ops
15

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Engineering Manager, Mobile

White Ops
Greater NYC Area
4 hours ago
+23
We are looking for an Engineering Manager to architect, design, develop and test our iOS and Android Mobile SDKs and continuously improve their performance, availability and scalability. Experience with fast and scalable SDKs is a must as well experience with performance benchmarking and testing strategies. You have a strong sense of ownership which drives you to find ways to do things better, faster, and cheaper You look to find new and innovative ways to solve complex problems through rigorous experimentation You are open and transparent and work in tight collaboration with the rest of White Ops

Operations Security Engineer

White Ops
Greater NYC Area
2 days ago
+23
Expertise in any combination of the following: threat modeling, secure infrastructure development, systems security. Strong knowledge of web application attacks and defense strategies (OWASP Top 10, etc.). Bachelor’s Degree in Computer Science, Cyber Security or related business discipline(s) preferred. Perform code reviews of custom applications; actively identifying security errors or software weaknesses. Experience working with SIEM & SOC procedures to identify potential issues in real time. Strong knowledge of endpoint security for OSX, Windows, & Linux. Working knowledge of TCP/IP & networking. Ability to assess risk.

Executive Assistant

White Ops
Greater NYC Area
3 days ago
+23
At White Ops, we’re all hackers. This doesn’t mean you have to hold a key to the internet (although one of our founders does!), but it does require approaching problems in unconventional ways. We are attacking criminal botnets through the ad fraud that finances their operations. Our proprietary technology detects and prevents sophisticated online fraud. By reducing the incentives for crime, we are making the internet a better place. Our mighty

Sr. Technical Account Manager-New York

White Ops
Greater NYC Area
4 days ago
+23
Operate as the primary technical contact for White Ops’ most valued enterprise security clients and taking the lead on tag generation, dashboard reporting oversight and troubleshooting reporting discrepancies. Be hyper responsive to team and partner inquiries that demand immediate attention and quick turnaround time. Work with White Ops’ Product, Detection and Operations teams to investigate and evaluate potential False Positives and False Negatives. Understand client strategies, imperatives, and critical metrics surrounding the management of Sophisticated Invalid Traffic (SIVT%). Become a student of client platform and services. Share this knowledge with internal stakeholders. Work with other business leads to develop core data and storyline for QBRs Vigilantly protect the confidentiality and privacy of client data. Provide supplemental data analyst support on non-enterprise accounts as needed.

Data Scientist, Detection

White Ops
Greater NYC Area
5 days ago
+23
Ad hoc investigations. Algorithm development. Research for case studies and white papers on fraud patterns. Creating and maintaining custom dashboards. Contribute to analysis toolkits.

Sr. DevOps Engineer

White Ops
Greater NYC Area
1 week ago
+23
Experience in establishing and delivering automation best practices for build automation and QA. Cloud architecture experience with a major cloud provider such as AWS or Google Cloud. Ability to use a wide variety of open source technologies and tools. Ability to code and script. Experience with systems and IT operations. Passion for frequent, incremental code testing and deployment. Strong grasp of automation tools. Data management skills. Understanding and focus on business outcomes. Understanding and efficiency in collaboration, open communication and reaching across functional borders.

Director of Brand and Agency Development

White Ops
Greater NYC Area
1 week ago
+23
Cultivate meaningful relationships with the largest brands and agencies in the world. Deliver strategic value messaging to key decision makers. Communicate White Ops story with conviction. Understand, interpret and negotiate sometimes complex SaaS contracts. Work with Customer Success to deliver an exceptional customer experience. Manage and execute full sales cycle from prospecting to new customer launch. Exceed new bookings and revenue quotas. Be Salesforce obsessed!

Director of Business Development

White Ops
Greater NYC Area
1 week ago
+23
As a Director of Business Development, you will be a part of White Ops front line in our mission to help protect companies from revenue and reputation risk caused by malicious bots. As our first Germany focused hire, this is an incredible opportunity to introduce White Ops’s world-class technology into the region.   A critical responsibility in achieving this goal is identifying and creating like minded partners to join in the fight to save the internet from organized cybercrime. In this role, you will prospect, sell, negotiate and nurture new business with some of world’s largest advertising and marketing technology platforms. If you move fast, excel at inspiring others to act, are a student of technology and enjoy more complex SaaS negotiations, we’d like to talk with you.

Data Intelligence, Fraud Operations Manager

White Ops
Greater NYC Area
1 week ago
+23
Recognize exceptional talent and hire a top tier Fraud Operations team consisting of operational Data Scientists within the first 3 months of hire. Identify impactful detection leads that increase velocity from time of threat identification to implementation of detection and blocking in White Ops products. Deploy stop-gap defenses for emerging threats. Facilitate Detection Research process responsible for triaging customer and internal inquiries about fraud efficacy. Implement best practices and tooling that will improve the time to understand a new detection lead and process it. Lead research for case studies and white papers on fraud patterns. Provide coaching and mentorship to team by providing challenging work, regular feedback, and fostering an environment where everyone can do their best work as measured by employee NPS, team retrospectives and feedback. Set project goals, facilitate success, and unblock team impediments. Partner with Customer Success to improve our ability to communicate the impact of the White Ops product on their internet traffic.

Application Security Engineer

White Ops
Greater NYC Area
1 week ago
+23
The Security Operations Team is responsible for keeping our applications safe, secure, & streamlined. Our team of engineers is friendly, curious, driven, and highly collaborative. We support one another and regularly hold code reviews to facilitate learning and reduce friction during our 2-week releases. We strive for clean and readable code. Our engineers also work closely with other teams in the company, including creative, product, and customer support.

Sr. Full Stack Web Engineer

White Ops
Greater NYC Area
1 week ago
+23
At White Ops, we’re all hackers. This doesn’t mean you have to hold a key to the internet (although one of our founders does!), but it does require approaching problems in unconventional ways. We are attacking criminal botnets through the ad fraud that finances their operations. Our proprietary technology detects and prevents sophisticated online fraud. By reducing the incentives for crime, we are making the internet a better place. Our mighty

Production Engineer

White Ops
Greater NYC Area
2 weeks ago
+23
Own backend services such as Kafka, DNS, VoltDB, Elastic Map Reduce and other cloud services. Develop documentation and capacity plans. Debug the hardest problems in terms of internet level scale. Share an on-call rotation and be an escalation contact for service incidents. Ship things and help others ship things with velocity and quality. Proactively remove blockers. Translate project goals into technical design. Evaluate and implement strategies to improve performance. Develop tests, tools and scripts to simplify others work.

Software Engineer, Detection

White Ops
Greater NYC Area
2 weeks ago
+23
Threat modeling: how would you game the system - taking a systematic approach to understanding the incentives of a system, as well as its payment triggers and potential bad actors, and presenting the characteristics and behaviors of those models. Raw signal development: this is where the detection team thrives and requires some level of creative problem solving. The better the technical signal we can extract from different environments, the stronger our detection and prevention abilities are. Marker development: markers are our core algorithms that take in raw signal and output a decision. We are continuously developing markers for various types of fraud, specific bots, malware packages, and other things. This is the heart of the system. Threat Intel and attribution: this area of research involves taking all the data we have and exploring attribution to software, malware, and sometimes actors. It will also involve applying data science techniques to detect potential false negatives, false positives, and signs of adversary adaptation, as well as reverse engineering applicable malware and bot samples for new detection leads. Software Development. A lot of the output of detection results in pushing code to production. We must do this in way that allows for rapid experimentation of signal without compromising safety or potential impact to end users. The system must also be secure and minimize the attack surface to compromise our payload for delivery of malware.

Data Platform Engineer

White Ops
Greater NYC Area
3 weeks ago
+23
You have a strong sense of ownership which drives you to find ways to do things better, faster, and cheaper. You look to find new and innovative ways to solve complex problems through rigorous experimentation. You are open and transparent and work in tight collaboration with the rest of White Ops.

Machine Learning Engineer

White Ops
Greater NYC Area
3 weeks ago
+23
Develop machine learning models and improve existing ones to enhance our detection capabilities. Work with different teams across White Ops to productize your solutions. Own the entire lifecycle: Research. Design. Experiment. Build. Deploy. Monitor. Maintain. Read research papers and apply state-of-the-art techniques in our problem set.