Top Tech Jobs & Startup Jobs in Chennai

Leads a cross-functional software engineering team while remaining hands-on in technical design, architecture, delivery, and operational excellence. Manages people, hiring, development, performance, and team culture. Owns product delivery, roadmaps, technical debt, security, reliability, cloud costs, incident response, and system scalability. Partners with Product and architecture teams to define requirements, guide technical decisions, maintain high-quality software, and ensure resilient production operations.

Manage and improve legal content workflows across Asia: validate metadata and structured content, ensure AI-readiness, support content conversion and publishing, drive automation and operational improvements, coordinate vendors and stakeholders, maintain documentation, metrics, and testing for platform and product enhancements.

Develop, design, and maintain backend services within a squad. Translate requirements into code, perform unit testing, troubleshoot and optimize performance, participate in code reviews, and support cloud-native deployments using containerization, orchestration, CI/CD, and distributed system patterns.

Senior QA Test Engineer responsible for owning test automation strategy and execution across API, app, and UI layers. Develop and maintain automated tests, identify and document defects, collaborate with engineering/product/UX, and ensure security-focused testing including OWASP risks. Participate in planning and daily stand-ups.

Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality, data discoverability, testing, feature releases, quality standards, and customer-focused insights. Uses scientific expertise, Python and Bash scripting, databases, cloud platforms, and AI-enabled testing workflows to improve data integrity and platform performance. Coordinates stakeholders, documents work, presents findings, and drives cross-functional projects.

Leads global Analytical Editorial Operations across a 150-person organization, setting strategy, operating models, budgets, quality standards, and performance measures. Drives GenAI-enabled content transformation, including Agentic Content Platform adoption and automated updating, while improving content currency, retrieval quality, customer outcomes, and operational efficiency. Partners with Product, Technology, Data Science, commercial, and editorial stakeholders; manages authors, vendors, workforce development, organizational change, and financial performance.

Drive full-cycle sales for complex, high-value AI research workspace opportunities. Originate and close new business, support strategic renewals, expand stakeholder relationships, lead value-based workshops, and translate AI and research analytics capabilities into measurable customer outcomes. Engage senior decision-makers across enterprise, government, academic, and research organizations while developing pipelines, territories, business cases, negotiations, and long-term account growth.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.