Top Tech Jobs & Startup Jobs in Chennai

Designs, develops, and supports complex enterprise Salesforce solutions across Apex, LWC, Flow, integrations, and large-scale data models. The role translates business requirements into scalable architecture, resolves technical issues, governs releases, and develops AI-driven agents and automations using Agentforce and related tooling. It also requires code reviews, testing, compliance alignment, stakeholder collaboration, and mentoring junior engineers.

Own end-to-end UX design for Salesforce-based enterprise platforms supporting academic editors. Responsibilities include user research, workflow analysis, information architecture, wireframing, prototyping, user testing, high-fidelity UI design, design-system contribution, accessibility compliance, and post-launch feedback measurement. Collaborate with product, engineering, and global editorial stakeholders to create and iteratively improve complex, data-rich workflows.

Owns quality strategy and test engineering for Salesforce-based deterministic and AI-driven systems. Designs automated functional, regression, integration, performance, and AI evaluation testing; develops golden datasets, rubrics, and regression benchmarks; investigates defects, hallucinations, bias, drift, and inconsistent outputs; supports compliance evidence and production monitoring; and mentors junior QA engineers. Collaborates with developers, analysts, product owners, and administrators to establish testable requirements and responsible-AI standards.

Develop and support Salesforce CRM solutions for global editorial, licensing, sales, and marketing teams. Responsibilities include end-user support, business analysis, requirements gathering, integrations, troubleshooting, documentation, UAT support, process improvement, solution reviews, and Salesforce development. The role serves as a business-facing Salesforce subject matter expert and works with stakeholders to maintain a stable, scalable, and reliable Salesforce deployment.

Independently perform complex analytics and large-scale data preparation using Databricks, Snowflake, SQL, Python and Spark. Collaborate with Product Owners and Data Scientists to validate data products, evaluate model precision/recall, produce insights and recommendations, and communicate findings to stakeholders. Ensure data quality and support product improvements.

Runs multilingual AI quality evaluations across translation tools and models, manages reviewer networks, and maintains terminology assets such as term bases and style guides. Presents quality findings and recommendations to product and localization teams, supports stakeholders on evaluation and terminology processes, and collaborates with AI, data science, platform, and content teams in a global matrixed environment.

Develop and execute automated functional and non-functional tests using JavaScript, TypeScript, Playwright, and Selenium. Build scalable test frameworks, perform primarily end-to-end and API testing, ensure appropriate feature coverage, and investigate production incidents. Collaborate with agile teams to support consistent, on-time delivery of high-quality software.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality evaluation, data discoverability, testing, feature releases, customer-focused insights, and quality standards. Uses scientific expertise, data analysis, scripting, databases, cloud platforms, and AI-enabled testing workflows to improve platform reliability and relevance. Coordinates stakeholders, advances projects, documents work, and presents recommendations for product and data improvements.

Owns the full sales cycle for complex, high-value AI research workspace opportunities, from prospecting and discovery through negotiation and closure. Builds executive stakeholder relationships, generates new business, supports strategic renewals, leads workshops, develops business cases, and communicates measurable value from AI-powered research and knowledge workflow solutions. Requires enterprise sales expertise, AI fluency, consultative selling skills, and extensive regional travel.