Top Tech Jobs & Startup Jobs in Delhi

Lead regional sales for solar/grid-tied inverter products in Varanasi, mentor Area Business Managers, generate and convert leads, build channel partnerships, manage customer relationships, and use company sales software to meet growth and targets.

Design and build scalable backend systems and AI-powered solutions (LLMs, RAG, retrieval, agents). Own projects end-to-end, optimize performance, drive AI engineering standards, mentor engineers, and integrate AI with enterprise systems.

The Senior Product Manager will lead product roadmaps, mentor teams, manage execution, collaborate with engineering, and monitor product performance across multiple regions.

Lead AI-first product work across discovery, prototyping, documentation, execution, automation, and analytics. Work with stakeholders to identify pain points, build LLM-based proofs of concept, create handoff-ready specs, coordinate releases and rollouts, and track adoption. Automate repetitive processes and use data to drive product usage. Role is remote India with travel to Sun King markets.

The Software Engineer - Infrastructure will improve IAC and incident response, manage AWS services, deploy Kubernetes resources, and design CI/CD pipelines.

Own and automate end-to-end incentive calculation pipelines, translate business rules into auditable data workflows, build monitoring and reconciliation dashboards, ensure accuracy and auditability across multiple products and countries, and partner with Sales, Finance, and field teams to resolve discrepancies and support escalations.

The role involves managing end-to-end operations including warehousing, logistics, inventory management, and SAP transactions while optimizing costs and improving processes across multiple locations in India.

Design, train, optimize, and productionize deep learning models for speech/audio and computer vision. Build scalable training pipelines, perform model inference optimization, integrate models into production services, monitor performance, and collaborate with software and product teams to deliver low-latency, reliable ML features.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.