• Act as a Strategic AI Sales Representative within the assigned East Coast territory, driving adoption of DDN’s AI infrastructure solutions across enterprise and research organizations. • Drive revenue growth and achieve or exceed assigned sales quota across the East Coast region. • Develop and execute strategic territory and account plans targeting organizations building large-scale AI and high-performance computing environments. • Identify and qualify new opportunities across industries including financial services, healthcare, telecommunications, technology, research institutions, and large enterprise organizations. • Build trusted relationships with senior technical leaders, AI infrastructure teams, and executive decision-makers within target accounts. • Partner with solutions architects and engineering teams to design and present AI infrastructure and high-performance data storage solutions. • Deliver compelling presentations, product demonstrations, and proposals showcasing the value of DDN’s AI-optimized storage platforms. • Manage the full enterprise sales cycle including pipeline development, forecasting, contract negotiation, and deal closure. • Develop strong relationships with channel partners, system integrators, OEM partners, and distributors to expand market reach. • Stay current on market trends related to AI infrastructure, GPU computing, large-scale model training, and high-performance data environments. • Represent DDN at industry events, conferences, and customer engagements to generate new opportunities and strengthen market presence.

🚀 Agentic AI Project Experience Program (n8n + LLMs) Build Autonomous AI Workflows | Real Project | Portfolio-Ready Location: Remote Program Type: Project-Based Learning & Experience Program (Not a Job) Duration: 8 Weeks (Weekend Cohort) 🔍 About the Program We are introducing a next-generation, project-based program focused on Agentic AI and Workflow Automation. As industries rapidly evolve from AI-assisted tools to Agent-driven systems, this program is designed to help participants build autonomous digital workers using n8n and modern LLMs (Gemini, etc.). This is not a theoretical course — participants will work in a structured, simulated project environment, similar to real-world enterprise use cases. 🧠 What You Will Learn 📘 Phase 1: Foundations (Weeks 1–4) - Understanding Agent Architecture (LLMs, Memory, Tool Usage) - Building workflows using n8n (low-code AI orchestration) - API Integrations (LinkedIn, SerpAPI, Lusha, etc.) - Designing resilient workflows with logic, loops, and error handling - AI-driven data personalization and insights generation 🔬 Phase 2: Trace Secure Innovation Lab (Weeks 5–8) - Work on a real-world project challenge - Design and build a production-ready AI agent/tool - Collaborate in a team-based environment with mentors - Selected projects may be reviewed for deployment on internal platforms 🛠️ Key Outcomes - Hands-on experience building Agentic AI workflows - Exposure to real-world automation use cases - Project-based learning aligned with enterprise needs - Opportunity to build a portfolio-ready capstone project - Certificate of completion upon successful participation 👤 Who Can Apply - Individuals interested in AI, automation, or workflow design - Candidates with background in IT, business, analytics, or related fields - Beginners with strong interest in AI tools and automation - Professionals looking to upskill into AI-driven roles 💡 Why This Program - Learn in-demand Agentic AI skills in weeks, not years - Focus on practical implementation, not just theory - Build real, usable AI solutions - Gain experience in a project-based consulting environment ⚙️ Program Structure - Weekend-based sessions (Instructor-led) - Guided project execution with mentorship - Access to tools, workflows, and structured tasks ℹ️ Additional Information This is a paid, project-based experience program designed to provide hands-on exposure and practical skills. It is not an employment opportunity. 📩 How to Apply If you are interested in building real AI agents and automation workflows, please apply with your updated resume with us at sushma@sapsol.com. Shortlisted candidates will be contacted with further details.

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves As an AI Trainer - Junior Linguist, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing—you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. While each project involves unique tasks, contributors may: - Craft original, clear, and fact-checked responses based on project guidelines. - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Follow style and quality standards to ensure consistency. What we look for This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:  - Bachelor’s degree in Linguistics, Computational Linguistics, Translation Studies, Literature, or any related education to ensure a strong understanding of grammar and stylistic features; - At least 1 year of professional experience in Linguistics, Research in Computational Linguistics, Translation Projects, etc., with strong skills in critical thinking and working with text in English language; - Strong written English (C1/C2); - Stable internet connection.  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $30 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your resume in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves As an AI Trainer - Junior Linguist, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing—you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity. While each project involves unique tasks, contributors may: - Craft original, clear, and fact-checked responses based on project guidelines. - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Follow style and quality standards to ensure consistency. What we look for This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:  - Bachelor’s degree in Linguistics, Computational Linguistics, Translation Studies, Literature, or any related education to ensure a strong understanding of grammar and stylistic features; - At least 1 year of professional experience in Linguistics, Research in Computational Linguistics, Translation Projects, etc., with strong skills in critical thinking and working with text in English language; - Strong written English (C1/C2); - Stable internet connection.  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $30 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.