RiskProfiler

• Develop and execute a comprehensive social media strategy across platforms such as LinkedIn, Twitter, Facebook, Instagram, and YouTube, focusing on increasing brand awareness and engagement. • Manage the day-to-day operations of all social media channels, including posting content, responding to comments, and engaging with followers. • Collaborate with the Head of Marketing to create and manage social media campaigns that align with business goals and product launches. • Craft compelling and creative content that aligns with cybersecurity themes and resonates with target audiences, including blogs, infographics, and videos. • Work with internal teams (product, sales, and content) to develop and promote content that highlights the company’s value proposition, thought leadership, and product offerings. • Monitor social media trends, cybersecurity news, and competitor activities to inform content creation and engagement strategies. • Use analytics tools to track and report on social media performance metrics, including engagement, reach, lead generation, and conversions. • Identify key performance indicators (KPIs) and regularly report progress to the Head of Marketing with actionable insights and recommendations. • Stay up to date with the latest social media trends, tools, and best practices, particularly in the cybersecurity space. • Manage paid social media advertising campaigns and budgets to ensure cost-effective lead generation. • Participate in online communities, forums, and groups related to cybersecurity to foster relationships and increase brand visibility.

• Design and implement end-to-end ML pipelines for OSINT (Open-Source Intelligence) gathering. • Collaborate with security researchers, developers, and product managers to align ML solutions with business needs. • Research and evaluate new ML techniques and technologies to improve the accuracy and efficiency of OSINT gathering for organizations or brands. • Develop and maintain strong relationships with internal and external stakeholders, including customers and partners. • Mentor and lead a team of ML engineers, offering technical guidance and support. • Stay current with industry trends and best practices in ML and OSINT gathering.

• Develop and maintain user interfaces for web applications using HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js). • Collaborate with UX/UI designers to implement design specifications and user flows. • Optimize applications for maximum speed and scalability. • Ensure the technical feasibility of UI/UX designs. • Conduct code reviews, testing, and debugging to ensure high-quality code. • Stay up-to-date with the latest industry trends, tools, and technologies.