Senior Solutions Engineer

February 28

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Smarsh

Smarsh is the global leader in communications data and intelligence, focusing on digital communications compliance and risk management in regulated industries. With over two decades of experience, Smarsh delivers AI-enabled solutions to unlock business insights from communications data at scale. Trusted by 95% of top financial firms and managing billions of messages monthly, Smarsh offers services like chat capture, email archiving, and digital risk surveillance. Their platforms are designed to meet the diverse and evolving needs of financial services, government, healthcare, and other industries, enhancing productivity and ensuring compliance with digital communication governance challenges.

cloud-based solutions • data-leak prevention • risk-based surveillance • information governance solutions • digital communications compliance

1001 - 5000 employees

Founded 2001

💸 Finance

🏢 Enterprise

☁️ SaaS

💰 Private Equity Round on 2016-01

📋 Description

• Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. • Our community counts on Smarsh to help them spot compliance, legal or reputational risks in 80+ communication channels. • You’ll be the primary point of contact for the technical/solutions portion(s) of an enterprise, B2B sales cycle. • You’ll partner closely with enterprise sales team, product teams, success management, and professional services. • You will support a handful of account executives across multiple product lines.

🎯 Requirements

• Product knowledge across multiple product lines • Software demonstration skills aligned with industry best practices • Domain knowledge (compliance and IT) • Knowledge and ability to present/demonstrate business processes/workflows associated with compliance (capture/archive/surveillance) use-cases • Industry knowledge (Financial Services and other highly regulated industries) • Solution Selling, Demo2Win, and MEDDIC/MEDDPICC experience • Strategic Thinking • Validation event (POV) scoping/execution • AI and LLM familiarity • Recommended Traits: Curiosity, effective time management, collaborative, attention to detail, urgency, self-starter and mentorship • Bachelor’s degree or equivalent educational experience • 5+ years of enterprise SaaS

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