Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team. A great platform needs an exceptional developer experience
Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production
Задачи
You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD
You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows
You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation
You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management
You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces
You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners
You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams
RDQ427R130
You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks
You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production
Требования
5+ years of experience as a Product Manager working on platform products
Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
Experience being a hands-on builder, must be comfortable using our own developer-facing products
Passion for designing products that simplify user experience of technically complex products
The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Паспорт вакансии
История публикации
Появилась в Вакандии30 дней
Перепубликации1 разпубликаций всего: 2
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.
ГрейдSeniorвычитано из текста вакансии
Формат работыне указан
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата≈ 17 921 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
2
Посмотреть публикации и даты
greenhouseОсновная публикация · 2025-12-05
greenhouseПовторная публикация · 2025-12-05
D
Работодатель
Databricks
50 активных вакансий · вилка работодателя указана в 21%