Generate qualified leads through outbound prospecting Engage with security professionals via email, phone, and social Qualify inbound leads and schedule demos Collaborate with sales and marketing teams Maintain accurate records in CRM system 1-3 years of B2B sales or SDR experience Strong communication and interpersonal skills Experience with CRM tools (Salesforce, HubSpot) Understanding of cybersecurity or enterprise software Self-motivated and results-oriented mindset Drive growth by identifying and engaging with potential customers who need advanced data security solutions
Build LLM-powered copilots that can analyze logs, answer natural language security queries, and surface insights. Experiment with retrieval-augmented generation (RAG) for connecting enterprise security data with LLMs. Work on contextual embeddings and fine-tuning models for sensitive data classification. Develop agentic workflows that allow copilots to take investigative actions. Collaborate with the product/security team to translate CISO pain points into Copilot skills. Benchmark model performance (latency, accuracy, hallucination reduction). Strong foundation in Python, ML, and NLP/LLMs. Hands-on experience with transformers (Hugging Face, OpenAI, Llama, etc). Familiarity with RAG pipelines, vector databases, embeddings. Understanding of prompt engineering and evaluation frameworks. Knowledge of cybersecurity concepts (SIEM, logs, data security) is a plus. Currently pursuing or recently completed a degree in CS, AI/ML, Data Science. We are looking for a driven ML Intern to help us build Copilot-like capabilities into our product. You will work on LLM pipelines, natural language interfaces, and intelligent security copilots that empower CISOs and security teams to investigate and respond to threats faster. "
Build and maintain responsive UIs with React. js, Next. js, and TypeScript. Implement designs using legacy-fast code and modern CSS frameworks and component libraries as required. Integrate APIs, manage state with React Query/TanStack, and deliver reusable components. Develop interactive charts, dashboards, and real-time features using libraries like D3, Nivo, and Socket. io. Ensure performance, accessibility, cross-browser compatibility, and assist with testing/debugging. Collaborate with UX, backend, and security teams while participating in code reviews and agile workflows. Solid understanding of JavaScript (ES6+), TypeScript, React. js, and Next. js. Familiarity with modern styling (CSS Modules, Tailwind, Materialize). Experience with component libraries (MUI, Radix UI, Ant Design, etc) Good knowledge of state management & data fetching (React Query, TanStack Query, Context API). Ability to consume and integrate REST APIs Strong problem-solving skills and eagerness to learn. Understanding of performance optimization and GitHub workflows/agile collaboration. Exposure to data visualization (Chart. js, D3, Nivo) and real-time features is a plus. We re looking for passionate Frontend Trainee eager to kickstart their careers by building high-impact cybersecurity products with React. js and Next. js. You ll work on real-world interfaces, data visualizations, and interactive dashboards while learning from experienced engineers.
Design brochures, posters, banners, stickers, and marketing assets Create engaging social media creatives and digital campaign designs Support with motion graphics, animations, and video edits Maintain visual brand consistency across digital and print Collaborate with marketing and product teams on creative needs 1-2 years of experience as a graphic designer or similar role Proficiency in Adobe Illustrator, Photoshop, and InDesign Familiarity with After Effects or Premiere Pro is a plus Strong creativity and attention to detail Eagerness to learn, adapt, and grow in a fast-paced environment Matters AI is looking for a Trainee Graphic Designer to join our creative team in Bangalore You will work on digital and print design projects, social media creatives, and motion graphics while helping maintain a consistent brand identity
Research and develop novel ML algorithms for data classification Design behavioral analysis models for insider threat detection Collaborate with engineering teams to productionize research Publish research findings and represent Matters at conferences Stay current with latest developments in AI security PhD or Masters in Computer Science, AI/ML, or related field Strong background in machine learning and deep learning Experience with Python, TensorFlow/PyTorch Knowledge of data privacy and security domains Experience with NLP and computer vision techniques Lead the development of cutting-edge AI algorithms for data detection, classification, and risk assessment in enterprise environments
Design and develop full-stack features for our data security platform Collaborate with security researchers to implement AI-driven detection algorithms Build intuitive user interfaces for complex security workflows Optimize application performance and scalability Participate in code reviews and maintain high code quality standards Strong experience with React, Node. js, and TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of security principles and data protection Experience with MongoDB or similar NoSQL databases Familiarity with AI/ML concepts and implementation Join our engineering team to build scalable AI-powered security solutions that protect sensitive data across cloud, SaaS, and endpoint environments.
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