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Artlist is where the creative arts meet technology. If there’s one thing we all have in common, it’s a love of music and film, which is why we build innovative products to help global brands and individual creators make amazing videos. We do this by giving them the best music, footage, sound effects, and templates around. We also revolutionized the industry with a radical new music licensing model that has since become the global standard. Artlist is now the go-to platform for over 26M users worldwide. They range from top-tier global brands like Google, Apple, Amazon, Microsoft, and Calvin Klein to social creators, video editors, and more. Our products:
* Artlist: an all-in-one platform for video creation, including high-quality and curated royalty-free music, SFX, footage, templates, plugins, and more.
* Motion Array: the ultimate destination for creators, including high-quality video templates by the world’s top motion designers, presets, plugins, music, SFX, stock footage, graphics for design, motion graphics, and stock photos. As a Data Product Manager you will take part and manage projects in various aspects of data oriented solutions. From streaming data consumers up to data infrastructure projects and data dashboards, serving different key company stakeholder’s. Wake up for this:
* Have the opportunity to grab a significant role in designing various data-oriented solutions and be a part of a dynamic data-driven company
* Own the end-to-end data product life-cycle from requirement collection to release planning
* Gather business requirements, identify technical and functionality gaps, and translate the business needs to technical requirements for development
* Create and maintain documentation for data structures and processes
* Design solutions for complex BI models
* Define and prioritize the BI roadmap
* Create and priorities requirements based on low-level specs while achieving goals during short sprint iterations
* Troubleshoot data and product issues
*  Work closely with Data engineers, Business analysts, Product Managers, Business stakeholders and management teams

A fresh, dynamic startup environment
An opportunity to join in an early stage, make a real difference, and grow with the company
Ownership and independence
Working on the core of the product
Engineering problem-solving on a day-to-day basis
Working on a cutting-edge technology stack

We are looking for a senior C++ developer who is passionate about software design, code quality, and performance.
The job involves writing production-grade modern C++ code that will be shipped to thousands of endpoints. The role includes both working on high-level problems as well as collaborating closely with operating system internals to collect the necessary data.
Responsibilities:
Write production-grade, modern C++ code to create robust and high-performance software
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions
Apply SOLID principles to software design
Develop multithreaded applications
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Utilize third-party libraries such as Boost and Protobuf to enhance functionality and streamline development.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity and AI domains.

A small, passionate, independent and experienced team
Committed to continuous learning, improvement and innovation
Dedicated to shaping cutting-edge cyber security software
Highly technical individuals who deeply understand the development challenges and capabilities.
Own of the entire product organization and process


Responsibilities:

Develop and execute a product roadmap that aligns with the company's strategic vision and business goals.
Manage product managers, train them and guide them to strive for excellence
Lead strategic and special projects ranging from new features development to strategy creation
Collaborate with cross-functional teams to define product requirements, features, and functionality.
Lead market research and competitive analysis to identify trends, opportunities, and potential partnerships.
Define and track key performance indicators (KPIs) to measure the success and impact of product initiatives.
Collaborate with the marketing teams to develop go-to-market strategies
Process from inception to product delivery and reporting directly to the CEO
Work with leadership, product, engineering, and designers to formulate our vision and roadmap and then translate these to reality
Identify areas of differentiation to create great experiences for our users
Serve as an evangelist among both internal and external stakeholders to develop and execute strategy
Work with customers to determine needs and refine ideas with concepts and product feedback
Provide a business perspective when evaluating product investment decisions
Evaluate build/buy/partner options and create analysis to make decisions on expansion of the business
Maintain deep understanding of the market, our competition and latest industry trends

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.