Avoma

36 Total Employees
Year Founded: 2017

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Jobs at Avoma

Search the 5 jobs at Avoma

Recently posted jobs

2 Days Ago
Pune, Maharashtra, IND
Artificial Intelligence • Natural Language Processing • Software
As a Senior Software Engineer at Avoma, you'll design and maintain the backend for the B2B SaaS platform. Your responsibilities include developing features, collaborating with product management, ensuring code quality through reviews, building RESTful APIs, and integrating machine learning models.
2 Days Ago
India
Artificial Intelligence • Natural Language Processing • Software
The Account Executive at Avoma is responsible for managing the sales process, from prospecting to closing deals. The role involves cultivating new sales opportunities, conducting product demonstrations, negotiating agreements, and ensuring customer onboarding and relationship growth. A strong focus on achieving sales targets and understanding market trends is essential.
3 Days Ago
Pune, Maharashtra, IND
Artificial Intelligence • Natural Language Processing • Software
As a Customer Success Manager at Avoma, you will lead initiatives to ensure customer outcomes, gather and analyze customer feedback, and drive onboarding and retention strategies. You will manage a portfolio of accounts, support customer engagement, and collaborate with engineering for software configurations. Your role is critical in representing customer voices and enhancing product development through insights and best practices.
6 Days Ago
Pune, Maharashtra, IND
Artificial Intelligence • Natural Language Processing • Software
As a Senior SRE, you will lead initiatives to improve application reliability, enhance the infrastructure, and drive automation efforts. Responsibilities include scaling APIs, maintaining CI/CD infrastructure, and implementing high availability architecture.
8 Days Ago
Pune, Maharashtra, IND
Artificial Intelligence • Natural Language Processing • Software
Join Avoma as a Senior ML Engineer specializing in NLP to work on challenging NLP problems and improve algorithms for extracting key insights and topics from conversations. Responsibilities include improving the Insights Engine, creating new models, working with LLMs, developing Deep Learning models, and staying up-to-date with NLP advancements.