Top Tech Jobs & Startup Jobs in Bangalore

Lead and grow a technical writing team responsible for MongoDB product documentation. Prioritize documentation projects, collaborate with Engineering and Product, coach writers, oversee hiring and planning, and guide AI-assisted research, writing, and review workflows. Ensure documentation is technically accurate, clear, and useful for global users while contributing to complex reference documentation and tutorials.

Leads the setup and commissioning of a lithium-ion battery testing laboratory, including infrastructure, equipment, validation, SOPs, and quality systems. Oversees testing and certification programs for cells, modules, packs, and energy storage systems. Reviews designs and test data, conducts failure analysis and safety evaluations, advises clients, coordinates technicians and resources, supports standards development, and ensures compliance with global safety, regulatory, accreditation, and operational requirements.

Own the Fraud & Risk product roadmap, strategy, and metrics across merchant onboarding, payments, payouts, and disputes. Partner with engineering, data science, operations, compliance, legal, and payments teams to develop fraud detection, risk decisioning, AI automation, and chargeback solutions. Balance fraud loss prevention, customer friction, growth, and operational efficiency while delivering compliant, scalable products.

Partners with India sales leadership to drive forecasting rigor, pipeline health, revenue analytics, territory planning, productivity, and process excellence. Analyzes sales performance, identifies risks and opportunities, improves Salesforce data quality and workflows, and delivers executive-ready insights. Supports operating cadences, business reviews, user adoption, and cross-functional initiatives while serving as a subject matter expert for sales operations tools and reporting.

Own and maintain operations data, ensuring accuracy, consistency, and reliability. Analyze data to support business discussions, translate stakeholder needs into documented requirements, and create repeatable process documentation. Identify efficiency improvements, manage reporting deliverables, prioritize projects, and collaborate with operations leads to drive better business outcomes.

Troubleshoot customer issues involving New Relic products, including installation, configuration, data exploration, and application monitoring. Collaborate with engineering and product teams on complex problems, advocate for customers, provide product feedback, and maintain support KPIs such as resolution time, SLA adherence, productivity, and CSAT.

Operate and improve large-scale Kubernetes platforms across public clouds, custom data centers, and business-critical Linux environments. Responsibilities include incident response, cluster upgrades, capacity changes, monitoring, alerting, Go-based automation, platform reliability improvements, tooling evaluation, documentation, mentoring, and cross-time-zone on-call support. The role also involves using AI technologies to improve operational workflows and decision-making.

Own the full B2B sales cycle for Airwallex’s SME prospects in the AMER region, from inbound lead qualification through discovery, solutioning, negotiation, closing, onboarding, and activation. Drive pipeline growth and revenue targets, manage CRM workflows and sales processes, negotiate commercial agreements, and collaborate with sales, marketing, operations, product, legal, finance, and strategy teams. Share best practices and help scale global sales operations.

Provides Level 1 and Level 2 technical support for premium SaaS customers. Responsibilities include troubleshooting, log analysis, issue reproduction, ticket resolution, engineering escalations, service recovery, Jira ticket management, knowledge-base maintenance, deployment monitoring, and customer advocacy.

Lead enterprise AI strategy and delivery, building and scaling LLM-powered applications, agentic systems, RAG/vector retrieval, orchestration, evaluation, governance, and production-grade AI platforms. Partner with engineering, data, cloud, security, and business stakeholders to deploy secure, observable, and scalable AI solutions and drive organizational adoption and transformation.