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applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
As part of this mission, we are seeking a passionate Product Documentation Specialist to join the product team and play a crucial role in bringing our innovative products to market. Focused specifically on creating detailed, accurate, and accessible documentation and knowledge resources, you will ensure that our customers have all the information they need to successfully unlock the full value of the platform easily and quickly.
Responsibilities:
Work closely with product managers, engineers, and customer support teams to identify documentation needs and develop a comprehensive content strategy for product documentation.
Create and maintain a wide range of documentation materials including user manuals, feature guides, troubleshooting guides, and release notes.
Ensure technical verbiage is easy to understand by the end-users, translating complex technical terminology into user-friendly language.
Utilize a variety of media forms including written documents, how-to videos, and interactive tutorials to enhance user comprehension.
Provide feedback to product development teams on potential improvements from a user's perspective based on insights gathered during the documentation process.
Manage the documentation lifecycle, including planning, scheduling, writing, editing, and reviewing, to ensure accuracy and consistency across all documents.
Use documentation tools and software for content creation, management, and publication.

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We are seeking a Java Backend Engineer to join our team. In this role, you will play a crucial role in designing, developing, and maintaining the backend systems that power our cutting-edge applications and services that help our customers manage huge amounts of their security data.
Responsibilities:
Develop and maintain high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and Python
Participate in design from scratch to production
Deliver high quality features for our high-scale web environment
Monitor the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrate with other team members (backend/frontend/product/UX)
Mentor junior engineers and share your expertise with the team

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We're seeking a Full Stack Engineer to join our team, specializing in data engineering. You'll play a crucial part in developing our data pipelines, ensuring seamless integration and optimization. Additionally, you'll create beautifully crafted client-side UI to streamline data configuration. Your role will be pivotal in enhancing the data infrastructure reliability and scalability, collaborating closely with cross-functional teams to deliver end-to-end solutions. If you're passionate about shaping the future of data engineering and developing E2E solutions that include both Backend & Frontend, we'd love to hear from you.
Responsibilities:
Develop our Data pipelines & backend infrastructure using Java, Spring Boot
Develop Frontend using React
Deliver high quality features for our high-scale web environment
Participate in design from scratch to production
Monitor the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrate with other team members (backend/frontend/product/UX)

The company is growing rapidly, and we seek an R&D Team Lead to join our technology department . In this role, you will be responsible for leading a team of full stack developers and directly aligning our product development with the company's vision, ensuring the delivery of high-quality solutions.

This role is reporting to the VP R&D.

The Role

Lead a team of full stack developers, fostering collaboration and innovation
Work closely with the team members on building the features, including design & code review, testing scenario definition, and troubleshooting of production issues
Managing, mentoring and providing technical training to empower team members for success
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to understand project requirements and provide technical expertise
Recruit team members
This position is 75% management and 25% hands-on.

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We are seeking a Front End Engineer (with a bit of backend development - depends on you!) to join our team. In this role, you will play a crucial role in designing, developing, and maintaining user interfaces, ensuring an exceptional user experience.
Responsibilities:
Develop user interfaces primarily using React (80%) and Java (20%)
Deliver high quality features for our high-scale web environment
Participate in design from scratch to production
Ensure the technical feasibility of UI/UX designs
Stay up-to-date with emerging front-end technologies and industry trends to make recommendations for continuous improvement
Integrate with other team members (backend/frontend/product/UX)

We're looking for an experienced Product Manager who is an owner at heart and wants to work on todays most innovative digital products! 
Our company is a digital product agency that designs & develops digital products and services for local and international companies ranging from early-stage start-ups to large corporations.
As Product Manager, you will work on various projects in diverse industries, including medical and biotech, banking and finance, insurance, smart-home, and more.
You will own and manage multiple clients and projects, and be responsible for driving high-quality and innovative product definitions and User Experience for our clients.

As a deep learning research engineer, you will conduct research projects to advance the scientific front of AI.

Your work will be done both solo and in collaboration with other deep-learning engineers and researchers. We are looking for someone versatile, displays leadership qualities, and is passionate about taking on new challenges.

As a deep learning research engineer , you will conduct empirical research of the highest quality, using and developing state-of-the-art techniques and algorithms.
Responsibilities
Design and implement DL algorithms to deliver advanced computer vision solutions.
Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers, and integrating outcomes into our product
Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers highly-skilled deep learning engineers and scientists
Mentor and collaborate with deep learning engineers

Were looking for a full-stack engineer who can solve complex system architecture challenges in the cloud, write production-grade code, and be familiar with the most advanced design methodologies.

The ideal candidate should be familiar with building solutions that use container orchestration tools (e.g., Docker, Kubernetes).

full-stack engineers work closely with deep learning engineers and scientists and become experts in the machine and deep learning production pipelines.
Responsibilities
Design, deploy, and maintain cloud-agnostic managed services that orchestrate various LLMs at large scale and truly performant-oriented environments
Integrate the latest state-of-the-art abilities into generative AI K8s clustersown large features end-to-end, from product refinement to design reviews and through to deployment
Lead and guide front and backend web development using agile methodologies. Deliver efficient and high-quality B2B solutions and see their deployment through
Profile and debug cloud performance and scaling bottleneck, meeting and improving latency and throughput SLAs

As our Marketing Analyst, you will play a crucial role in analyzing marketing data to help shape our marketing strategies and improve performance. You will work closely with the marketing team to track, report, and analyze various marketing campaigns and initiatives. Your insights will directly contribute to the optimization of marketing efforts across multiple channels.

This role is an internship in a 50% position, with a strong possibility of continuing to a full-time position.
Responsibilities
Analyze marketing campaign performance and provide actionable insights to improve efficiency and effectiveness.
Utilize Excel and Google Analytics, Hubspot, and Salesforce to collect and analyze data, creating reports that highlight key metrics and trends.
Support the marketing team with data-driven decision-making by conducting market research and various analyses.
Assist in the management of digital marketing tools and platforms to ensure accurate data collection and reporting.
Collaborate with team members to design and implement A/B testing strategies to optimize campaign performance.
Stay updated on industry trends and best practices in marketing analytics and digital marketing.

we are looking for a Sales Engineer

Responsibilities
Technical owner of the sales cycle alongside the Account Executive, responsible for the technical win. The sales cycle's main responsibilities are technical scoping, demos, and carrying out POCs.
Carry out demo sessions with prospects and potential partners, including on-site sessions/events in front of crowds.
Customer-facing domain expert in charge of discovering customers' needs and unlocking the full value of product in a consultative manner.
Sales teams technical point of contact. Managing the behind-the-scenes technical orchestra (inc. Product, R&D, etc.) to secure sales team goals. Work closely with the sales team on strategies and processes to improve customer qualification, risk mitigations, objection handling, etc.
Project manager of customer engagements (such as POCs). Responsible for defining and monitoring KPIs, identifying issues, and finding creative solutions to secure the technical win.
Maintain a close feedback loop with the Product, R&D, and CS team.
Collaborate with Marketing on technical-focused initiatives and collaterals such as webinars, demos, case studies, etc.

We are looking for an enthusiastic, experienced, and versatile full-stack engineer to take over multiple development responsibilities under the One group.
We are working with the most cutting-edge technologies, building a new and exciting cloud platform using mainly Golang, gRPC, Redis, PostgreSQL, Kubernetes, Docker and more.
How will you make an impact?
Designing and developing functional and/or technical capabilities within large scale products, making ongoing design decisions, and focusing on multiple product domains and technologies

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

Were looking for a Data Project Manager to oversee the planning, execution, and delivery of data-related projects.
Youll manage projects that impact our company and customers, collaborate with stakeholders, and drive measurable business improvements.
If you're passionate about leveraging data for positive outcomes and thrive in a collaborative environment, we welcome you to apply!
Responsibilities:
Partner with members of our Product, Engineering, BI, Analysts, Product Marketing, Customer Experience, Finance, and Marketing teams to drive successful product results
Lead the data roadmap to support our products
Own the prioritization and execution of data deliverables
Lead cross-organizational data projects, setting milestones and tracking progress
Coordinate data engineering and business intelligence projects for timely delivery
Determine project needs for quarterly planning, and set priorities based on stakeholder input
Oversee sprints, manage tasks, and foster team communication
Troubleshoot data and product issues