Jobs at Vega (vega.io)

The Regional Sales Manager will drive revenue growth in enterprise accounts, handling complex sales cycles and positioning Vega's cybersecurity solutions effectively.

The role involves partnering with sales teams, engaging with enterprise customers, conducting technical evaluations, and designing modern security architectures for high-stakes accounts.

Own the demand generation engine, running experiments with paid search, social media, SEO, and nurture strategies. Manage budgets and analyze performance using AI tools and HubSpot.

As a Software Engineer, develop full-stack features, design distributed systems, create responsive UIs, and ensure high code quality while collaborating across teams.

The Director of Technical Product Marketing will lead a team to develop and execute go-to-market strategies for cybersecurity products, focusing on messaging and market presence.

As a Demand Generation Manager at Vega, you will drive demand through various channels, analyze results, and optimize strategies using AI tools. You'll also collaborate on landing pages and manage nurturing in HubSpot.

The Senior Product Designer will design complex interfaces for security analytics, lead user research, and shape design systems, collaborating with teams to ensure user-centered design.

As a Solutions Architect in the CTO Office, you will manage strategic accounts, solve complex problems, influence product development, and produce technical content. Your role demands deep security knowledge and hands-on experience in cloud environments while engaging directly with customers and influencing R&D.

As a Threat Hunting Researcher, you'll identify and analyze emerging threats, craft detection strategies, work with customers on security pain points, and produce technical content on threat detection.

The role involves owning and growing revenue across large enterprise accounts, driving sales cycles, and building account strategies in cybersecurity sales.

As an AI Engineer at Vega, you'll design and implement AI systems, develop LLM-based applications, and optimize AI performance for cybersecurity solutions.

Design and maintain database connectors and indexing capabilities, manage technical decisions, and collaborate with various teams on integration and technical direction.