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As a Sales Development Representative, the candidate will qualify leads, generate opportunities through cold calling, and assist the sales team by maintaining a sales pipeline in Salesforce. The role requires effective communication, understanding of customer needs, and the ability to overcome objections while representing the Smarsh brand.

As a Research Engineer II at Smarsh, you will analyze unstructured communications data, develop machine learning models, and collaborate with teams to create data-driven solutions. Responsibilities include model development, data annotation, and stakeholder engagement, contributing to research discussions and enhancing existing capabilities.

The VP of Marketing Revenue leads the development and execution of marketing strategies to maximize revenue and pipeline growth. Responsibilities include managing marketing teams, overseeing marketing technology, optimizing campaigns, analyzing performance, and ensuring budget efficacy.

The Account Executive will engage with prospective clients, managing sales processes in government sectors, driving lead generation, and maintaining relationships with existing customers. This role requires consistent interaction with management for forecasting and reporting, utilizing sales tools and maintaining accurate records in Salesforce while striving to meet sales goals.

Sell SaaS-based compliance solutions to top enterprise accounts, manage end-to-end sales cycles, present to C-level executives, and develop strategic business relationships. Drive lead generation, manage opportunities, maintain forecasts, and negotiate contracts while consistently meeting quotas and delivering an outstanding customer experience.

Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.