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.
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.
Задачи
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
Требования
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
Условия
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
Паспорт вакансии
История публикации
Появилась в Вакандии30 днейв источнике с 28.11.2024
Перепубликации2 разапубликаций всего: 3
Проверяли на источникеВидели 25 дней назад
Среди похожихдольше 97%сравнение с 228 вакансиями той же роли и грейда
Долго открыта
Вакансия висит дольше 97% похожих вакансий. Это не значит, что она закрыта, но откликаться стоит с этой оговоркой.
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыУдалённо
ГеографияСингапур
Зарплата≈ 17 812 USD в месяцнаша оценка, в вакансии не названа
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Свежесть3свежее 3% похожих вакансий
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
3
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greenhouseПовторная публикация · 2024-11-28
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greenhouseОсновная публикация · 2026-05-04
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Работодатель
Datadog
50 активных вакансий · вилка работодателя указана в 20%