Top Tech Jobs & Startup Jobs in Delhi

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.

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven systems, and background jobs. Improve performance and reliability for high-volume, multi-tenant SaaS workloads through indexing, sharding, caching, and query optimization. Build occasional Vue.js UI features, instrument production systems, and lead incident response and postmortems. Translate ambiguous customer and business needs into reliable production services with strong data correctness and operational excellence.

Principal-level backend engineering role leading architecture and reliability for a global payments and commerce platform. Responsibilities include designing multi-tenant distributed services, payment orchestration, ledgers, reconciliation, APIs, schemas, observability, security, compliance, disaster recovery, and production operations. The role establishes engineering standards, mentors teams, supports hiring, drives technical strategy, and partners cross-functionally. Core technologies include Go, ConnectRPC, GCP, Kubernetes/GKE, Pub/Sub, Redis, MongoDB, Firestore, ClickHouse, and OpenTelemetry.

Leads Revenue Operations for the Support organization, partnering with leadership on planning, forecasting, business reviews, financial modeling, KPI governance, and cost optimization. Builds analytics connecting support performance to retention, churn, and customer lifetime value. Oversees AI support measurement, automation strategy, workflow redesign, data integrity, tooling requirements, and change management. Develops high-performing analyst teams and influences cross-functional Product, GTM, Systems, and AI stakeholders through rigorous, data-backed recommendations.