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Why this grade This listing scored 33/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Director Sales
As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog 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.
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
- 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 Datadog adoption and drive consensus internally
- Participat e 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
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.
#LI-Remote
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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Where this listing came from
- 18 Aug 2026 Jobicy first sighting
Seen on 1 board over 30 days.