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.
Datadog SQL (DDSQL) and Sheets are two of the newest products within Graphing, Datadog’s most-used product area. Together, they give customers flexible ways to query, combine, analyze, visualize, and share data across Datadog.
This role owns the product direction and user experience for both products. Your goal is to help users move from raw data to trustworthy answers quickly—whether they prefer writing SQL, working in a spreadsheet, or building visual analyses.
Doing this well requires more than adding analytical features. Real-world analysis involves nuanced decisions about data models, joins, aggregations, time windows, missing data, query performance, and the transition from exploration to reusable work. You’ll work closely with design and engineering to make these capabilities understandable without limiting their analytical power.
Задачи
Own DDSQL and Sheets end to end: roadmap, adoption, and growth strategy
Partner closely with design to establish a high bar for information architecture, interaction design, and visual polish across complex analytical workflows
Use product analytics and customer research to identify friction, improve onboarding, and measure whether users are reaching useful answers faster
Define the experience for querying, transforming, visualizing, and sharing data, from query composition and results exploration to errors, performance feedback, and collaboration
Define and execute the strategy for bringing third-party data into Datadog: from market research and use-case definition through pricing
Expand Datadog SQL from a standalone editor into a platform-wide query capability on all graphs
Redesign how users discover and get started with Graphing products: rethink list pages, build onboarding flows, and create entry points that don't assume prior Datadog expertise
Identify and pitch net-new investment areas for the Graphing suite: new products, new personas, or new capabilities that emerge from what you learn scaling DDSQL and Sheets
Требования
You have experience building customer-facing analytics, BI, notebook, spreadsheet, visualization, or other data-intensive products
You have strong UI and UX judgment
You can reason through information architecture, interaction patterns, progressive disclosure, and the edge cases that make complex tools feel either excellent or frustrating
You are analytically hands-on and comfortable using SQL, spreadsheets, BI tools, or notebooks to explore data and answer your own product questions
You're energized by ambiguity, comfortable forming a point of view with incomplete data, and excited to define problems
You have a strong technical background and can hold your own in conversations about query engines, data schemas, and storage architecture
You have excellent verbal and written communication skills and the willingness to present and defend your ideas to technical stakeholders and executives alike
4+ years product experience
Actual compensation is based on factors such as the candidate's skills, qualifications, and experience
The reasonably estimated yearly salary for this role at Datadog is
Условия
Datadog offers a competitive salary and equity package, and may include variable compensation
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
156,000 — $195,000 USD
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 30 дней назад
Среди похожихНет данныху карточки не хватает полей, чтобы найти похожие
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыне указан
ГеографияНью-Йорк, СШАвычитано из текста вакансии
Зарплата≈ 15 042 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 карточки753 из 4 полей: грейд, формат, география, зарплата
Зарплата названа0вилки работодателя нет, показана наша оценка
Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
Посмотреть публикации и даты
greenhouseОсновная публикация · 2026-08-10
D
Работодатель
Datadog
50 активных вакансий · вилка работодателя указана в 20%