Senior Sales Engineer - Majors (West)

Datadog
California, CA
Remote

Who this role is best for

Senior technical professionals with enterprise sales engineering experience and cloud expertise will find this hybrid, high-impact role in the West region suits their background and career goals.

Best fit for

  • Candidates with 7+ years in enterprise sales engineering and a consultative approach to customer engagement
    — “7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment
  • Individuals skilled in public cloud, Kubernetes, and observability who can translate technical needs into business outcomes
    — “Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability
  • Candidates who can lead complex technical evaluations and influence multiple stakeholders across departments
    — “Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process

Things to consider

  • The role may require travel to support customer engagements despite the hybrid work arrangement
    — “Willingness to travel as needed to support customer engagements
  • Candidates should be prepared to mentor peers and contribute to team enablement initiatives
    — “Experience mentoring peers or contributing to team enablement initiatives

How to stand out

  • Highlight experience in leading technical evaluations and aligning solutions to business outcomes
    — “Full ownership of the technical evaluations (POVs) end-to-end
  • Emphasize ability to influence stakeholders at all levels, including executives
    — “Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives
  • Demonstrate a history of resolving technical and organizational blockers across teams
    — “Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted
  • Include examples of contributing to product direction through field feedback
    — “Contribute to product direction through active participation in structured product and engineering field feedback sessions
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Led complex technical evaluations
  • Influenced key stakeholders
  • Delivered engaging product demos
Typical background
7+ years of experience in Sales Engineering or Solutions EngineeringAdvanced background in public cloud services

Skills & requirements

Required

Sales EngineeringTechnical PresentationsSolution WorkshopsPublic Cloud ServicesKubernetesApm/tracingSecurityDeveloper ExperienceObservabilityInfluencing Technical StakeholdersManaging Technical EvaluationsMentoring PeersDriving Operational ExcellenceCollaborating Across Teams

Preferred

AI ToolingProduct DirectionField Feedback SessionsCustomer Engagement

Stack & domain

Public CloudAWSAzureGCPKubernetesApm/tracingSecurityDeveloper ExperienceObservabilityInfluencingCommunicationConsultativeProblem-solvingCustomer EngagementMentoringTeam EnablementEnterprise SalesTechnical SalesCustomer SuccessProduct Direction

About the role

Original posting from Datadog

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities.

This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts.

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:

Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won

Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes 

Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives 

Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process

Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle 

Contribute to product direction through active participation in structured product and engineering field feedback sessions, bringing field insights and customer patterns to PM and engineering teams

Drive operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems 

Identify and proactively resolve technical and organizational blockers by collaborating across Product, Support, and GTM teams before customers are impacted

Contribute to team enablement by mentoring peers, sharing best practices, and creating reusable assets that scale knowledge across the region

Who You Are: 

7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment

Skilled at influencing and adapting communication across technical, business, and executive audiences 

Advanced background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability

Strong communication skills, with the ability to explain technical concepts to a range of audiences

A consultative, outcome - oriented approach to problem-solving and customer engagement

Demonstrated ability to manage multiple opportunities and priorities in a fast-paced environment

Experience mentoring peers or contributing to team enablement initiatives

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:$149,000—$198,000 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.

Source: Datadog careers

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