Top Tech Jobs & Startup Jobs in Chennai

Own product metrics definitions and trees, investigate anomalies and conversion bottlenecks, validate hypotheses, conduct data mining, and prioritize growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, data tracking, quality checks, and actionable recommendations. Collaborate with Product and functional leads in a fully remote environment.

Provide comprehensive administrative and personal support to the CEO: manage calendars, meetings, communications, documents, travel, payments, and vendor coordination. Handle confidential matters, routine tasks independently, and assist with personal appointments and events.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Monitor product and infrastructure health, investigate alerts using Grafana and Zabbix, perform first-level Linux and Windows troubleshooting, follow runbooks, resolve or escalate incidents, and support senior administrators during major incidents. The role includes rotating day and night shifts, independent duty coverage after onboarding, and collaboration with a distributed team.

Develop and optimize marketing reports, monitor product and advertising campaign KPIs, integrate and visualize data, investigate performance deviations, analyze campaigns, and recommend improvements. The role requires strong Google Sheets skills, basic SQL, A/B testing, mathematical statistics, and English proficiency. Python, web analytics, Google Ads, and BI experience are preferred. This is a fully remote position.

Owns a product area end to end, identifying growth opportunities, developing hypotheses, defining requirements, driving cross-functional delivery, and analyzing experiments and product metrics. The role partners with engineering, design, and analytics teams to validate ideas, optimize outcomes, and scale successful solutions in a fast-moving, remote environment.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Drive quality assurance for web features from technical handoff through production release. Responsibilities include test planning, test case creation, functional and exploratory testing, regression, UI/UX, cross-browser, responsive, API, and end-to-end testing. Support releases through build validation and monitoring, document and review tests, collaborate with product and engineering teams, improve QA metrics, and optionally contribute to test automation.