Senior Sales Engineer - New England

Datadog, Inc.

United States

On-site

USD 149,000 - 198,000

Full time

14 days+

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Benefits offered by this job

RSUs and equity
Employee stock purchase plan (ESPP)
Healthcare
Dental
Mental health benefits
401(k) with match
Paid time off
Fitness reimbursements
Discounted ESPP

Job summary

Datadog is seeking an Enterprise Sales Engineer in the United States to bridge business goals with technical solutions and drive adoption. You will own the technical strategy with Account Executives, run discovery, deliver compelling demos, and manage end-to-end POVs across opportunities.

You’ll collaborate with Product, Support, and GTM teams, maintain accurate CRM records, and travel as needed to support customers. The role offers a hybrid work model and a competitive compensation package.

Qualifications

  • 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment.
  • Skilled at navigating multi-stakeholder environments and adapting communication style to technical, business, and executive audiences.

Responsibilities

  • 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 the company solutions
  • Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes
  • Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process
  • Identify and cultivate technical champions within customer accounts, empowering them to advocate for the company adoption and drive consensus internally
  • Participate actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction
  • Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems
  • Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers

Skills

Sales Engineering
Public Cloud
Kubernetes
Observability
APM/Tracing
Security
Developer Experience
Executive Communication

Job description

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of the company and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption.

You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts.

*At the company, 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 the company solutions
  • Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes
  • Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process
  • Identify and cultivate technical champions within customer accounts, empowering them to advocate for the company adoption and drive consensus internally
  • Participate actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction
  • Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems
  • Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve technical blockers
Who You Are:
  • 5+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role within an enterprise environment
  • Skilled at navigating multi-stakeholder environments and adapting communication style to technical, business, and executive audiences
  • Proficient 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 approach to problem-solving and customer engagement
  • Ability to manage multiple opportunities and priorities in a fast-paced environment
  • Growth mindset by embracing change and AI tools
  • Willingness to travel as needed to support customer engagements
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 the company.*

the company 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, the company 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 the company is:

$149,000—$198,000 USD

About the company:

the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company:

the company 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.

the company 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 the company as part of your application will be processed in accordance with the company’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at the company AI Guidelines.

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