Jobs at SecurityScorecard

The Principal Product Manager will drive product strategy, execution, and enhancements for AI-related features, ensuring customer value and collaboration among teams.

Lead Revenue Operations and build AI-native systems at SecurityScorecard, overseeing pipeline management, forecasting, and the tech stack for sales and customer success.

Serve as a pre-sales technical advisor to Sales and prospects, deliver demos and PoVs, gather metrics, translate business needs into technical solutions, influence product roadmap, and champion customers while supporting industry events and cross-functional teams.

The Chief Architect will lead the architectural direction of SecurityScorecard's platform, focusing on customer migrations, agentic product features, and evolving engineering practices. Responsibilities include setting architectural standards, managing teams, prototyping solutions, and mentoring engineers while collaborating with the CTO and other leaders.

Sell SecurityScorecard's cybersecurity ratings to net-new enterprise accounts (5,000+ employees or $750M+ revenue). Own a $1.75M net-new ARR quota, drive MEDDPIC-led discovery, navigate complex buying committees and channel-assisted deals, and maintain accurate pipeline and forecasts.

Lead customer marketing initiatives, optimize customer journey, drive retention and expansion revenue, and build advocacy programs while collaborating cross-functionally.

As a Business Development Representative, you'll generate leads and qualify potential clients, facilitating initial connections and assisting Field Sales Representatives in securing meetings.

The Senior Software Engineer will lead technical initiatives, design scalable systems using Node.js and AWS, mentor engineers, and improve platform reliability.

The Senior AI Engineer will design and implement AI-driven product features, lead architecture reviews, and manage projects from inception to production, using tools like TypeScript and AWS.

The Staff AI Engineer will lead AI product initiatives, design technical architecture for AI systems, and enhance engineering practices with AI integration while collaborating with product and CTO teams.

The VP, Revenue Operations & GTM Engineer will lead and optimize revenue operations, drive AI-native GTM workflows, and manage the revenue tech stack to enhance efficiency and forecasting accuracy.