Job Overview
Location
Rome, Italy
Job Type
Full-time
Category
Sales
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • Strategic Account Executives at Datadog drive new business acquisition with the company’s largest and most strategic customers, focusing on organizations operating or migrating to cloud environments at scale. This role is critical to expanding Datadog’s market presence by identifying customer pain points and delivering tailored monitoring and observability solutions that enable digital transformation and infrastructure visibility.
- • You will prospect into Fortune 1000 companies, manage end-to-end sales cycles, and build deep, data-driven relationships with key stakeholders. Your day-to-day involves researching target accounts, developing account-specific strategies, engaging C-suite and technical decision-makers, conducting value-based selling, negotiating complex deals, and ensuring accurate forecasting while expanding both the breadth and depth of customer engagements.
- • You will own and evolve relationship maps for your territory, combining existing contacts with aspirational targets to create a strategic roadmap for growth. This includes understanding each customer’s business objectives, technical environment, and buying process to position Datadog as a trusted partner in their cloud journey.
- • Datadog operates as a hybrid-first, people-first organization that values collaboration, innovation, and work-life harmony. The company fosters an inclusive culture where employees are encouraged to bring their authentic selves to work, supported by community guilds, mentorship programs, and continuous learning opportunities that drive both personal and professional growth.
- • In this role, you will develop advanced enterprise sales expertise, mastering methodologies like MEDDIC and Command of the Message while gaining deep insight into cloud infrastructure, SaaS business models, and enterprise buying behaviors. You’ll have the opportunity to significantly impact revenue growth, earn performance-based compensation, and grow into a trusted advisor to some of the world’s most innovative organizations.
🎯 Requirements
- • 5+ years of proven closing experience, with a mix of field selling in mid-market and enterprise environments
- • Consistent track record of meeting or exceeding $1M+ in annual sales goals, with an average deal size of $100k+
- • Demonstrated ability to independently prospect, build pipeline, and execute a disciplined sales process
- • Experience selling into Fortune 1000 companies, including winning new logos in complex, competitive environments
- • Background in innovative technology companies, preferably SaaS, IT infrastructure, or related domains
- • Willingness and ability to travel regularly to client sites using various modes of transportation (car, train, air) as business needs require
🏖️ Benefits
- • High income potential through performance-based compensation, including uncapped commission structures
- • New hire equity via RSUs and access to the Employee Stock Purchase Plan (ESPP)
- • Comprehensive medical, dental, and vision benefits, plus retirement savings with company match
- • Ongoing professional development, including product training, sales enablement (MEDDIC, Command of the Message), and career pathing
- • Inclusive culture with access to Community Guilds, mentorship and buddy programs, and pet adoption/insurance support
- • Hybrid work flexibility designed to support work-life harmony and employee well-being
Skills & Technologies
Datadog
Remote
About Datadog, Inc.
Datadog, Inc. provides a cloud-scale monitoring and analytics platform that unifies infrastructure metrics, application performance traces, and log data. It offers real-time dashboards, machine-learning alerts, distributed tracing, synthetic monitoring, and security analytics for cloud, on-premises, and hybrid environments. The company serves technology, financial services, retail, and government organizations worldwide, helping them reduce downtime, optimize resource usage, and improve software performance across dynamic, containerized architectures.
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