Top Tech Jobs & Startup Jobs in Mumbai

The Associate Financial Analyst will analyze financial documents, evaluate AI model outputs, and collaborate on data annotation for GenAI projects, ensuring data quality and consistency.

The Content Analyst role involves researching and onboarding content, ensuring quality control, and providing content-related support to clients. You'll collaboratively work with product managers, software engineers, and content vendors to enhance AlphaSense's content offerings and resolve content issues.

Join AlphaSense's talent community to explore opportunities in a collaborative environment focused on team players who value growth and teamwork.

Manage AR email queue and vendor onboarding, resolve billing and collections inquiries, perform vendor record validation, resubmit invoices, handle banking/TIN validations, support monthly close and account reconciliations, and coordinate escalations to billers and internal teams while meeting SLA targets.

Design, build, and operate scalable, automation-driven enterprise platforms focused on identity and access management. Implement IaC, CI/CD, secure access (Zero Trust), system integrations, and collaborate with security and cross-functional teams to improve reliability and reduce manual work.

The role involves architecting reliability solutions, incident management, promoting SRE practices, and mentoring engineers within the Site Reliability Engineering team.

Lead the evolution of AlphaSense's application portfolio by integrating AI and architecting solutions. Mentor engineers and drive initiatives in a dynamic, full-stack environment.

As a Content Analyst, you'll enhance AlphaSense financial content by evaluating and onboarding new data, monitoring content quality, and supporting content-related inquiries. A background in financial data collection and strong analytical skills is preferred.

Lead design and implementation of scalable AI-driven content ingestion and extraction systems. Research and prototype LLM and computer vision solutions, architect high-throughput backend services, solve production ML challenges (latency, variance, robustness), and mentor engineering teams to deploy mission-critical pipelines processing millions of documents daily.

Lead architecture and build scalable AI-driven content ingestion and processing systems. Research and prototype LLM and computer vision solutions, solve production AI challenges (latency, variance, prompt engineering), design fault-tolerant pipelines for millions of documents daily, and mentor engineering teams to productionize mission-critical capabilities.