Top Tech Jobs & Startup Jobs in Chennai

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven services, and background jobs. Improve performance and reliability across large multi-tenant pipelines while handling consistency, caching, sharding, observability, and incident response. Build AI-assisted CRM features using existing LLM APIs, including context assembly, response handling, cost and latency controls, and graceful degradation. Occasionally ship Vue.js UI changes and operate services through deployment and on-call.

Design and build scalable user management systems for a multi-tenant SaaS: authentication, authorization, IAM/RBAC, session and token flows, auditing, data sync across stores, search integration, performance optimization, compliance, and mentoring teammates while collaborating with product, security, and DevOps.

Build and operate production Node.js and Go services for a high-scale, multi-channel messaging platform. Develop Vue 3 interfaces, work with SQL and NoSQL databases, and implement queues, caches, rate limiters, tests, monitoring, and rollout processes. Own services end to end, write design documentation, participate in code reviews and on-call rotations, and learn distributed-systems concepts including consistency, retries, idempotency, ordering, and backpressure.

Own revenue operations analytics, reporting, dashboards, attribution, workflow management, and process improvement for a designated revenue segment. Build and maintain CRM automations, track KPIs, identify growth opportunities, develop business cases, execute strategic initiatives, and communicate insights to leadership. The role also supports onboarding, training, change management, troubleshooting, and ad hoc analysis while operating independently in ambiguous situations.

Lead HighLevel’s Commerce product organization across business operations, fulfillment, and finance. Set the catalog-to-cash strategy, manage and develop Product Managers, and own roadmaps spanning product information, pricing, inventory, fulfillment, payments, invoicing, and accounting. Drive platform coherence, measurable growth, reliability, and merchant adoption while partnering with engineering, design, finance, operations, and executive stakeholders.

Own measurement and reporting for an AI product portfolio. Responsibilities include defining metrics, running business reviews, building Superset dashboards, querying ClickHouse and Snowflake, analyzing retention and adoption, calculating AI usage economics, evaluating product quality, reconciling data sources, and informing roadmap decisions through instrumentation, experimentation, and product analytics.

Own the roadmap and execution for HighLevel’s payment orchestration platform, including provider routing, transaction lifecycles, receipts, webhook processing, APIs, reliability, observability, security, and compliance. Partner with engineering and cross-functional teams to improve transaction success, authorization rates, provider coverage, developer experience, and platform reliability using payments data and measurable outcomes.

Build and own full-stack product features from requirements through deployment. Develop accessible React and TypeScript interfaces, scalable Node.js and Express backend services, APIs, and data models. Collaborate with product, design, and platform teams, use analytics to measure outcomes, maintain code quality through testing and documentation, and improve engineering processes, technical debt, and user experience.

Own revenue operations analytics, reporting, attribution, process design, pipeline management, and workflow automation for a designated revenue segment. Build dashboards, track KPIs, identify growth opportunities, develop business cases, execute initiatives, troubleshoot systems, and partner with leadership on performance and change management.

Own the strategy and roadmap for HighLevel’s Custom Objects and CRM data platform. Define scalable entities, relationships, permissions, APIs, integrations, and data capabilities across workflows, reporting, AI, and other products. Partner with Engineering and Architecture on data modeling, scalability, performance, integrity, and platform extensibility. Lead discovery through delivery, adoption, and iteration while aligning cross-functional teams and measuring customer and platform outcomes.