Regional Manager, Sales Engineering - Majors (West)

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region.

You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development
• Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities
• Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team 
• Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression

• Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement
• Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory
• c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience
• Drive operational excellence across the region by improving processes, maintaining data quality, scaling evaluation frameworks, and contributing to initiatives that improve team effectiveness and business impact

Who You Are: 

• 3+ years of experience leading Sales Engineers and/or frontline leaders in a customer-facing technical organization with proven ability to manage team performance, develop team members, and scale high-performing teams 
• 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role
• Proven ability to partner with senior Sales leadership on regional strategy, long-range planning, and forecast alignment as a strategic peer
• Ability to operate at both strategic and operational levels, balancing multi-quarter planning with day to day team execution and priorities 
• Strong cross-functional collaborator with the ability to influence across teams and at senior levels
• Background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability
• Demonstrated capability of utilizing AI tooling and scaling it 
• Growth mindset of embracing change and being curious 
• Willingness to travel as needed to support customer engagements

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 and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks 

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

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. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

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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.