Sales Engineer 2 (Customer Success) - Denver
Datadog is hiring a Sales Engineer 2 (Customer Success) - Denver (United States). It pays $92k-$122k a year and Level rates it ; you can apply on Datadog.
Level's read on this job
- On Level's scale, this customer service role is Little AI ●○○○: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Kubernetes, Cloud Platforms and Containers.
- Level classifies it as a mid-level role.
- Level lists 433 other open roles at Datadog.
AI in this role
Own technical engagements, product demonstrations, and POCs as a sales engineer supporting customer success at Datadog.
Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). As a Sales Engineer 2, you will independently own technical engagements throughout the sales cycle, partnering closely with Customer Success Managers to align customer business objectives with Datadog's platform. You will also collaborate across Engineering, Support, Product, and various other cross-functional teams to resolve customer concerns, advocate for customer needs, and serve as a trusted technical advisor throughout the evaluation process.
If you want to join a friendly, passionate team with limitless potential, we'd love to meet you!
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:
- Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle.
- Deliver tailored product demonstrations and technical presentations that map customer challenges to Datadog solutions.
- Assist with technical discovery by identifying customer business objectives, technical challenges, and success criteria.
- Own technical evaluations (POCs) from kickoff through successful completion, proactively driving customer engagement and removing technical blockers.
- Continually expand your expertise across Datadog's platform while building competitive knowledge and technical credibility.
- Develop trusted relationships with customer technical stakeholders, communicating business value to buying teams and helping position accounts for a successful long-term partnership that sets the stage for future growth.
- Contribute to team success by sharing best practices, mentoring newer Sales Engineers, and supporting enablement initiatives.
- Think creatively to solve a wide variety of technical challenges throughout the sales cycle.
Who You Are:
- Ideally 1.5 years or greater as a Sales Engineer or in a comparable customer-facing technical role
- Strong understanding of cloud infrastructure, modern application architectures, observability, and/or DevOps technologies
- Experience with modern infrastructure technologies, such as cloud platforms, containers, Kubernetes, microservices, networking, and/or operating systems
- Able to translate technical capabilities into meaningful business outcomes for customers
- Comfortable independently leading technical presentations, product demonstrations, and evaluations
- Skilled at navigating multiple customer stakeholders while managing several active evaluations simultaneously
- Effective communicator and collaborator with both technical practitioners (Developers, SREs, Platform Engineers, Operations teams) and business stakeholders
- Curious, adaptable, and eager to continually learn and expand technical expertise
- Enjoys a hybrid office culture and spending time in-person at our Denver office
- Able to sit for up to 4 hours while traveling to and from client sites
- Able to travel via auto, train, or air up to 25% of the time
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 excited to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-class onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program
- New hire stock equity (RSUs) and Employee Stock Purchase Plan (ESPP)
- Continuous professional development, product training, and career growth opportunities
- An inclusive company culture with 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:$92,000—$122,000 USDAbout 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.
How we rate this
Sales Engineer 2 (Customer Success) - Denver at Datadog rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $92k
- Typical customer service job
- $100k
This posting starts 8% below the typical customer service job. See customer service jobs
Questions you could be asked
- Tell me about a project where sales engineering was part of your work. What did you do?
- Tell me about a project where technical presentations was part of your work. What did you do?
- Tell me about a project where proof of concept was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Sales Engineering, Technical Presentations, Proof Of Concept, DevOps, and Kubernetes. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote customer service jobs by email
One email a week with the new remote customer service jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Customer Support roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step