Top Tech Jobs & Startup Jobs

Drive revenue growth across enterprise cloud and IT services accounts by prospecting, generating qualified opportunities, closing new business, and expanding existing client relationships through cross-selling. Build and manage sales pipelines, achieve annual targets, collaborate with cloud OEM and distributor partners, maintain customer relationships, and prepare regular business reports. The role requires consultative selling, cloud services knowledge, strong enterprise customer connections, and willingness to meet customers across Bangalore.

Owns paid performance and growth marketing across Google, Bing, Meta, LinkedIn, YouTube, display, affiliate, native, and programmatic channels. Responsibilities include budget allocation, campaign planning and execution, audience and keyword strategy, optimization, remarketing, CRO, dashboard development, and ROI tracking. The role manages campaigns for Indian and international B2B and B2C audiences, collaborates on creative and landing pages, and is accountable for reducing CAC, improving ROAS, generating leads, and driving revenue growth.

Lead graphic design across digital and print formats, including websites, landing pages, UI/UX, motion graphics, videos, GIFs, brochures, eBooks, and case studies. Mentor designers, manage multiple projects, collaborate with stakeholders and partners, maintain brand consistency, and deliver high-quality creative work aligned with marketing objectives.

Manage and grow key client accounts across global and local markets. Responsibilities include building client relationships, serving as the primary contact, coordinating internal teams, supervising account teams, preparing account reports and forecasts, developing customized solutions, negotiating contracts, and achieving sales and client growth targets.

Lead enterprise cloud presales pursuits by designing cloud, AI/ML, and DevOps architectures; develop modernization roadmaps, technical proposals, statements of work, and bid presentations. Align solutions with customer goals and constraints while ensuring security, scalability, and compliance. Guide reusable architecture frameworks, inform pricing and risk modeling, and collaborate with sales and delivery leadership on large transformation opportunities.

Lead proof-of-concepts, cloud architecture validation and implementation across multi-cloud environments. Troubleshoot cloud platforms, resolve complex technical problems, enforce cloud, networking, security, and monitoring best practices, and mentor junior associates. The role requires deep AWS expertise, multi-account experience, cloud automation knowledge, certification in at least two cloud platforms, and team leadership experience.

Manage end-to-end non-IT recruitment across lateral and campus hiring programs. Responsibilities include workforce planning, sourcing, screening, negotiations, interview coordination, offer rollout, campus relationships, employer branding, vendor management, recruiter leadership, stakeholder collaboration, hiring analytics, and compliance. The role covers Sales, Marketing, Operations, HR, Finance, Customer Success, Training, and other business functions in a fast-paced Bengaluru office environment.

Supports planning and delivery of cloud-based projects by maintaining schedules, documentation, budgets, and work plans. Coordinates communication among internal, external, and partner stakeholders, tracks project progress, and helps manage projects through their full lifecycle. The trainee is expected to work accurately under pressure, collaborate effectively, communicate professionally, and develop project management practices and technology knowledge.

Implement and enhance machine learning and data analytics solutions using cloud-native AWS tools. Participate in customer discussions, troubleshoot infrastructure, contribute to solution architecture and proofs of concept, and monitor emerging AI/ML and cloud trends. The role requires collaboration, documentation, analytical problem-solving, and hands-on work with Python, SQL, PySpark, Spark, NLP, transformer models, statistics, and AWS machine learning services.

Develop and maintain scalable Python-based data pipelines, ETL processes, workflow automations, and dataset integrations. Ensure data quality, validation, performance, and integrity while deploying and monitoring production workflows. Collaborate with data engineers, analysts, stakeholders, and machine learning teams to provide reliable, production-ready data solutions. Work with databases, cloud data services, orchestration tools, APIs, and CI/CD practices.