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Regional Manager, Sales Engineering – Key Accounts (East)

AI Summary
Datadog is seeking a Regional Manager, Sales Engineering to lead Sales Engineers and frontline leaders supporting key accounts in the Eastern US region. The role combines people leadership, regional operating management, technical sales execution, and strategic partnership with senior Sales leadership. The manager will oversee hiring, coaching, capacity planning, resource allocation, KPI performance, and strategic customer opportunities. Candidates need substantial sales engineering leadership experience and technical credibility across public cloud, Kubernetes, observability, security, and developer experience.
Remote from
USA
Salary
USD 150k–200k / yr
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
12 Dec 2026
Listing views
12
Application actions
0
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Opportunity details

About this role.

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.

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.

The reasonably estimated yearly salary for this role at Datadog is:

$150,000—$200,000 USD


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.

Privacy and AI Guidelines:

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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior regional leadership position requiring both deep technical sales expertise and ownership of team performance across complex enterprise opportunities. Success depends on influencing executives, managing managers, and planning several quarters ahead while remaining engaged in critical deals.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$175,000
US market range (per year)$160k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Datadog explicitly lists a yearly base salary range of $150,000 to $200,000 USD, with a midpoint of $175,000. A reasonable estimated US market range for a regional Sales Engineering leadership role is $160,000 to $220,000 USD yearly, excluding variable compensation and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you improved the performance of a Sales Engineering team while maintaining employee engagement?

I establish clear operating metrics, regular coaching cadences, and individualized development plans. I pair quantitative measures such as win rate, evaluation velocity, and utilization with qualitative feedback from sellers and customers, then use those insights to remove blockers and recognize strong performance.

How would you approach regional capacity planning for a growing enterprise sales organization?

I would analyze pipeline coverage, account segmentation, opportunity complexity, historical technical effort, hiring ramp time, and current utilization. I would translate this analysis into capacity scenarios, identify coverage risks early, and align recommendations with Sales leadership during multi-quarter planning.

Describe how you would support a strategic customer opportunity without taking ownership away from the assigned Sales Engineer.

I would clarify the account strategy with the team, identify executive and technical risks, and provide senior-level credibility where it adds value. My role would be to coach the Sales Engineer, unblock cross-functional resources, and reinforce the team's plan rather than replace the individual owner.

What operational metrics would you use to manage regional Sales Engineering effectiveness?

I would track coverage and utilization, technical win rate, evaluation conversion, time spent by deal stage, forecast quality, ramp progress, and customer engagement outcomes. Metrics should be reviewed in context, so I would also inspect account complexity, segment mix, and team feedback before making decisions.

How does your technical background in cloud and observability help you lead a Sales Engineering organization?

Technical fluency enables me to ask informed questions, assess solution quality, and build credibility with customers and internal stakeholders. It also helps me coach teams on connecting cloud, Kubernetes, security, APM, and observability capabilities to concrete customer outcomes.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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