Top Tech Jobs & Startup Jobs in Chennai

Leads QA strategy and quality initiatives for AI products, architecting scalable automation frameworks and developing testing methodologies for RAG, hallucination, drift, and bias. Owns the AI quality charter and roadmap, influences architecture and cross-functional teams, coaches QA staff, and drives reliability and risk reduction. Bonus responsibilities include CI/CD, cloud platforms, MLOps monitoring, and AI workload performance testing.

Leads performance and scalability testing for distributed, production-scale systems. Builds shared load-testing frameworks, workload models, production-like Kubernetes and cloud environments, and automated CI/CD regression checks. Conducts load, stress, soak, and spike testing; performs capacity planning and root-cause analysis across APIs, databases, queues, and frontends. Establishes performance targets, interprets observability data, influences engineering decisions, and mentors junior team members.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Own a Conversations product area end to end, including customer discovery, strategy, roadmap, requirements, prototyping, delivery, launch, growth, experimentation, and performance analysis. Lead agency customer calls, translate feedback into product opportunities, collaborate with engineering, design, marketing, support, and customer success, and build AI-native messaging features. The role also involves tracking activation, adoption, engagement, retention, and time to value while supporting planning and mentoring junior product managers.

Build and ship frontend-first CRM Opportunities features in Vue.js, including scalable drag-and-drop pipeline boards, dynamic deal views, filters, saved views, bulk actions, and reporting. Optimize performance for large datasets, manage client-side state, support real-time collaboration, extend NestJS APIs, write automated tests, instrument production behavior, and maintain accessibility and responsive design. Participate in on-call, debugging, design documentation, and code reviews while progressively owning larger product areas.

Lead complex, cross-functional initiatives across Marketing, Sales, Success, and Support. The role owns projects from intake through delivery and retrospectives, translates strategic priorities into execution plans, manages risks and dependencies, tracks project health, and measures ROI and operational impact. The Project Manager also supports PMO governance, reporting systems, capacity planning, change management, and continuous improvement while partnering with senior leaders and executive stakeholders.

Own email platform modules end to end, from architecture and prototyping through production operation and optimization. Build scalable Node.js and TypeScript services, Vue.js interfaces, APIs, sending infrastructure, analytics, and AI-powered features supporting 40M+ daily emails. Ensure reliability through idempotency, retries, caching, monitoring, testing, security, and data integrity. Operate production systems, respond to incidents, improve deliverability, and make architecture decisions for large-scale growth.

Own end-to-end product analytics for HighLevel’s lead-generation portfolio. Analyze customer behavior, funnels, cohorts, retention, conversion, monetization, experiments, and product adoption. Define metrics and instrumentation, build dashboards, identify data quality issues, conduct customer research, and translate findings into recommendations for product prioritization. Partner cross-functionally with Product, Engineering, Design, Data, and GTM teams, communicate decision-oriented insights, and mentor junior analysts.

Twelve-month remote apprenticeship providing customer support through chat, email, Zoom, and calls. Responsibilities include troubleshooting product and configuration issues, documenting and escalating complex problems, delivering empathetic customer experiences, learning SaaS products and support processes, collaborating with team members, and using AI tools to improve support efficiency. The role includes mentorship, hands-on training, and potential conversion to full-time employment.

Architect and build production-grade agentic systems and shared AI platform services at enterprise scale. Develop agent orchestration, tool and MCP integrations, LLM gateways, evaluation frameworks, observability, safety controls, and cloud infrastructure. Drive reliability, cost optimization, AI-first engineering practices, technical standards, cross-team alignment, and mentorship while remaining hands-on with coding, architecture, and production debugging.