At BugRaid.AI , we are developing a robust AI-driven incident Management & response platform designed to enable engineering teams to detect, analyze, and resolve incidents with unprecedented speed. As our customer base expands from 1 to 10 to 100, we are seeking an ambitious, Intelligent, Proactive, and Aggressive SaaS B2B Sales Professional. Who knows how to hunt, close, and expand across Singapore, India, Australia, and the Middle East . Responsibilities: - Drive comprehensive B2B SaaS sales: from prospecting to contract finalization. - Engage with Chief Technology Officers, Vice Presidents of Engineering, Head of IT, Heads of DevOps, Directors, Engineering managers, and Head of Site Reliability Engineers. - Conduct LinkedIn and email outreach, cold calling, and cultivate strong regional sales pipelines. - Collaborate closely with the founders to establish go-to-market strategies, pricing, and narrative. - Manage a lucrative commission structure ( up to 30% per sale ) — earn based on your achievements. Qualifications: - A minimum of 5 years of experience in enterprise SaaS or development tools sales. - Exceptional communicator with demonstrated outbound capabilities ( LinkedIn, Apollo, Freshworks, HubSpot, etc. ). - A driven mindset — independent, resourceful, and dedicated to high performance. - Experience in selling to markets in India, Asia-Pacific, the Middle East, and Australia. - Prepared to onboard 2–3 paying customers within the first month. The primary objective is to acquire new customers. Why Join Us Now: - Attractive commissions plus the opportunity to transition into a full-time role. - A strategic position — work directly with founders. - Develop go-to-market strategies from the ground up and establish BugRaid.AI as a leader in Incident Management. - Customers worldwide are already signing up — you will be instrumental in driving the next wave of growth. 📩 To apply, please send a direct message or email: manoj.bhamidipati@bugraid.ai ravi.ankam@bugraid.ai Show more Show less

BugRaid AI is reimagining how engineering teams handle incidents — with a powerful blend of AI agents, traditional machine learning, and modern observability pipelines. We’re seeking an AI Engineer who excels at the intersection of infrastructure and intelligence — someone who enjoys solving complex technical problems with practical models that perform well in real-world scenarios. Location: Remote Preference: Hyderabad / Bangalore candidates only Type: Full-time | ESOPs + Salary Experience: 2+ years Immediate joiners only preferred Responsibilities Impactful Machine Learning: Apply and scale models like Random Forest, DBSCAN, KNN, and GNNs to understand noisy logs, alerts, and metrics in real-time and batch. Agent Intelligence : Develop lightweight reasoning agents that assist SREs in debugging, resolving, and predicting incidents. AI Agent Architecture: Design LLM-powered agents for logs, metrics, traces, and incident resolution. Prompt Engineering & Tooling: Create advanced function-calling and reasoning workflows for multi-step execution. Zero Data Retention Architecture: All data is read-only, secure, and compliant (PII, GDPR, PCI DSS) — your work resides within ephemeral AWS-native environments. Infrastructure-Aware ML: Collaborate closely with our AWS stack (Lambda, ECS, Kinesis, S3, Bedrock) to ensure scalable, secure models that serve with low latency. Feedback Loops & Fine-Tuning: Incorporate real-time signal feedback and model evaluation for precise incident response. Collaborative Development: Partner with backend and infrastructure engineers to deploy models as microservices and REST endpoints seamlessly. Data Analysis: Evaluate quality, clean, and structure raw data for downstream processing. Design scalable and accurate prediction algorithms. Collaborate with engineering teams to transition analytical prototypes into production-ready systems. Generate actionable insights to improve business operations. Qualifications Bachelor's degree or equivalent experience in a quantitative field (Computer Science, Engineering, etc.) 2+ years of practical ML experience Experience with Random Forest, DBSCAN, KNN, GNN (Graph Neural Networks) Proficiency in Python and ML libraries such as scikit-learn, XGBoost, PyTorch. Experience with RLHF, LangChain, or open-source agentic libraries Comfort with AWS services (Lambda, ECS, Kinesis, S3, SageMaker, Bedrock) Experience in log analysis, anomaly detection, or observability systems is a big plus Strong debugging skills and systems-level thinking At least 1-2 years in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms Proficiency in a programming language (Python, JavaScript) Knowledge of Big Data frameworks and visualization tools (preferred) Why Join BugRaid.AI We’re building a groundbreaking AI incident response platform. Remote-first team, open feedback loops, and high trust culture. Shareholding opportunities with meaningful equity and ownership of key AI pipeline components. Backed by real customers in our beta stage, we are addressing practical operational challenges. Ready to help redefine how AI manages software failures? 📩 Send your resume or LinkedIn profile to manoj.bhamidipati@bugraid.ai or DM me.