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The Sr. Analyst, Client Insights and Analytics will analyze advertiser metrics related to digital marketing and advertising, focusing on programmatic initiatives. Responsibilities include reporting insights, optimizing campaign performance, collaborating with teams, ensuring data accuracy, and delivering presentations to inform clients and internal stakeholders.

As a Senior Software Engineer in Test at DeepIntent, you will create comprehensive test plans and test cases, work on QA automation frameworks, and collaborate with Product Managers and Developers to enhance application testability. Your role includes overseeing quality assurance processes, using various testing methodologies, and improving metrics in a fast-paced team environment.

The Client Success Manager at DeepIntent is responsible for managing post-sales activities, providing exceptional client service, and driving revenue and renewals for media buys. They build client relationships, monitor campaign performance, and collaborate with Sales and Strategy for account growth.

The SVP of Platform Operations will maximize revenue through effective management of media campaigns on the DeepIntent platform, overseeing platform support teams, and ensuring client satisfaction. The role involves collaborating with Sales, Client Success, Product, and Engineering teams to address delivery issues and improve platform functionality, as well as leading the onboarding of new clients and providing feedback to enhance the product.

The Senior Software Engineer at DeepIntent is responsible for ensuring timely and top-quality product delivery, driving architecture/design decisions, conducting feasibility analysis, providing code reviews, and troubleshooting complex issues. The role requires expertise in Java, scalability, relational databases, and excellent communication skills.

Senior Software Engineer role at DeepIntent in Pune, India, focusing on data architectures, pharma research, and analytics methodologies. Responsibilities include optimizing queries, building data architectures, implementing DataOps practices, and collaborating with various teams.