Senior Security Sales Engineer

Before you apply

Job source

Ats

Applying on

careers.datadoghq.com

Workplace

Fully remote

US state

FL

Category

Sales

Link last checked

6 hours ago

Posted

2 months ago

Closes

No stated closing date

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About the role

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. 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, Datad

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