SDR Team Lead

AuxoAI is hiring an SDR Team Lead to lead and scale outbound SDR programs for US-based B2B clients. This role blends campaign strategy, execution, AI-powered sales operations, and people leadership. Youll be responsible for managing end-to-end SDR workflowsfrom messaging and tooling to quota achievement and team performancewhile leveraging AuxoAIs proprietary AI-SDR platform to run highly efficient, scalable outbound programs. Location : Bangalore, Hyderabad, Mumbai, and Gurgaon Responsibilities: Design and execute outbound SDR campaigns aligned to client ICPs and offerings Draft compelling outbound messaging and campaign themes Leverage AuxoAIs AI-SDR platform for prospecting, engagement, and analytics Run high-velocity campaigns using tools like Apollo, Hunter, SendGrid, and CRMs Lead, coach, and manage SDR teams to consistently achieve qualified meeting quotas Own quota delivery, campaign-level reporting, and continuous performance optimization Build and manage SDR operations, including workflows, playbooks, and process documentation Partner with internal teams (Sales Ops, Product, Client Delivery) to ensure successful execution and growth Requirements 510 years of experience in B2B Inside Sales, SDR management, or Demand Generation Proven track record of leading SDR teams and achieving outbound targets Strong expertise in email messaging, outreach sequencing, and campaign management Familiarity with US-based sales cycles, buyer personas, and B2B outbound motions Experience with sales engagement platforms (e.g., Apollo, HubSpot, Outreach) and CRMs Excellent verbal and written communication skills, with a data-driven execution mindset Preferred: Prior experience in managed services, sales outsourcing, or B2B SaaS Exposure to AI-enabled sales tools and sales workflow automation Experience building outbound programs from scratch or during scale-up Strong analytical skills and ability to present performance insights to clients and leadership

5+ years
Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience. Proven experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments. Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation. Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms. Deep understanding of cloud-native architectures, microservices, and serverless computing. Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics. Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates. Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications. Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.