Conduct ongoing field listening (shadows, 1:1s, syncs with first-line leaders) to maintain a strong pulse on business needs, gaps, and strengths across APAC markets; share insights with the broader enablement team to shape programs and priorities.
Lead reinforcement and coaching to drive post-program adoption, including designing activities (role plays, deal clinics, skill practice sessions) that connect training to measurable behavior change in real, complex customer scenarios.
Partner with Curriculum, Program Management, and Operations to share field insights and pilot or co-build content, and work closely with first-line Sales leaders to build trusted relationships, diagnose challenges, and deliver ad hoc training in response to emerging needs.
Use AI tools to accelerate delivery and reinforcement — including synthesizing field feedback and surfacing patterns — and model effective AI use for the teams you train.
Who You Are
3–5 years of experience in sales enablement, field enablement, training, or a related GTM role, with a proven delivery track record supporting Sales and/or Customer Success teams in a SaaS or technology environment.
Strong facilitator with experience delivering engaging live and virtual training sessions to senior, sophisticated audiences, and familiarity with sales methodologies/frameworks such as MEDDICC, Command of the Message, Challenger, Sandler, etc. (certification a plus).
Strong business acumen and comfort using performance data, field feedback, and qualitative insights to inform enablement decisions; experience with Asana or similar project management tools is a plus.
Foundational understanding of Datadog and/or the broader technology industry, including foundational knowledge of Datadog's core product pillars (Infrastructure, APM, Logs) and the ability to connect product capabilities to customer value.
Highly collaborative and relationship-oriented — you build trust quickly with sellers, managers, and cross-functional partners.
Organized, adaptable, and comfortable operating independently across a large, diverse region.
Willing and able to travel approximately 25% across APAC.
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits & Growth
Generous and competitive benefits package
New hire stock equity (RSUs) and employee stock purchase plan
Continuous career development and pathing opportunities
Employee-focused best in class onboarding
Internal mentor and cross-departmental buddy program
Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
