Jobs at Ankercloud Technologies

Design, develop, and productionize machine learning and GenAI solutions across NLP, computer vision, forecasting, recommendations, and intelligent automation. Build MLOps pipelines and deploy scalable systems across AWS and Google Cloud using services such as SageMaker, Bedrock, and Vertex AI. Partner with customers and internal teams to define measurable ML solutions, improve model performance, establish observability and governance, and mentor engineers while contributing reusable architectures and best practices.

Own Ankercloud’s marketing strategy, positioning, brand messaging, partner marketing, and demand-generation engine across AI, data, cloud, and SaaS services. Develop annual plans, thought leadership, ABM and multi-channel campaigns, marketing automation workflows, events, and digital content. Track funnel metrics, pipeline contribution, CAC, and campaign ROI through CRM and marketing dashboards, providing actionable recommendations to leadership.

Lead delivery and operations for managed cloud services across AWS and Google Cloud. Manage service transitions, customer onboarding, SLAs, incidents, escalations, root-cause analysis, change management, operational governance, and customer service reviews. Coordinate SRE, cloud engineering, security, and DevOps teams; lead major incident communications; drive continuous improvement, automation, monitoring, and operational best practices; and support customer renewals and account growth.

Leads enterprise cloud infrastructure architecture and delivery across AWS and GCP, including migrations, modernization, landing zones, networking, security, resiliency, automation, and platform engineering. Designs reference architectures and roadmaps, guides implementation, establishes infrastructure-as-code and DevOps standards, and partners with senior customer stakeholders. Mentors architects and engineers, drives governance and operational excellence, and shapes reusable architecture practices across consulting engagements.

Build, deploy, and optimize machine learning solutions across NLP, OCR, computer vision, forecasting, recommendation, generative AI, and agentic AI use cases. Prepare data, engineer features, train models, integrate APIs, and support production deployments in AWS and GCP. Apply MLOps practices including versioning, CI/CD, monitoring, troubleshooting, and experimentation. Collaborate with engineers, architects, customers, and stakeholders on solution delivery, documentation, demos, and reusable components.

Leads strategic technical pre-sales engagements for cloud migration, modernization, generative AI, and data solutions. Prepares SOWs and RFP responses, conducts customer workshops, and delivers tailored demos, proofs of concept, and technical proposals. Acts as a trusted advisor to senior stakeholders, partners with sales leadership on pre-sales strategy, and mentors junior pre-sales engineers while improving processes.

Drive revenue growth across North India by acquiring and expanding enterprise cloud customers. Manage the full sales lifecycle from prospecting and qualification through solution positioning, proposals, negotiations, and closing. Build relationships with customers, Google Cloud, and technical teams; identify opportunities involving cloud modernization, data and analytics, AI/ML, security, and application modernization; execute joint go-to-market initiatives; maintain the sales pipeline; and achieve revenue targets.