Monster Jobs lê cada vaga aberta e diz, de 0 a 100, o match dela com o seu currículo — de graça. Você está vendo esta página sem a parte mais importante dela: a sua.

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Pode ser 94. Pode ser 31.

O ponteiro só crava quando lemos o seu currículo. Leva 1 minuto, de graça.

DOSSIÊ MJ-5931 · ACESSO PARCIAL

Sr. Product Manager, Databricks Repos

Databricks · San Francisco, California

PresencialNão informadoGerente

Esta é 1 de 65.420 vagas encontradas nos últimos 30 dias. Nós comparamos todas com o seu currículo — hoje, esta página nem sabe quem você é.

Grátis, sem cartão. Só o seu currículo.

Encontrada há 9 meses

Se candidatar no escuro custa uma noite.
Saber custa um minuto.

A conta que ninguém faz

Você, sozinho, numa noite

~20

vagas abertas e lidas uma a uma — a maioria descartada no terceiro parágrafo, quando o requisito que você não tem finalmente aparece. Dias assim, toda semana.

O Monster Jobs, enquanto isso

65.420

vagas já lidas e entendidas, prontas para ganhar nota contra o seu currículo no momento em que ele chegar. Você não procura mais vaga — recebe as que merecem a sua atenção.

Recrutador faz triagem de candidato.
Aqui, o recrutador é você — de vagas.

Cada uma chega com nota e motivo. Seu único trabalho é dizer sim ou não.

RELATÓRIO DE COMPATIBILIDADE · GERADO POR VAGA, POR PESSOA

Por que essa nota

Para quem tem conta, este bloco explica a nota em português — escrito sobre o seu histórico, não um texto genérico:

O raciocínio da nota é gerado para cada currículo depois do cadastro gratuito.

Aderência técnicapeso 0.45
Senioridadepeso 0.25
Localização e modelo de trabalhopeso 0.2
Setor e contextopeso 0.1

A seu favor

O que do seu histórico pesa a favor aqui.

O que falta

O que a vaga pede e seu currículo ainda não mostra.

Liberar meu relatório grátis

1 minuto: você envia o currículo, nós escrevemos o resto.

Ninguém caça sozinho. Esta vaga foi encontrada por outra pessoa e entrou no acervo de todo mundo. A caça continua enquanto você lê isto — e a sua parte do acervo (65.420 vagas, comparadas com o seu currículo) só passa a existir quando você entra.

O que você decide sobre cada vaga

Cada vaga vira um caso com histórico: candidatei, entrevista, proposta. Estes botões são os reais — só falta a conta.

Descrição da vaga

<p data-pm-slice="1 1 []">RDQ427R130</p> <p>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.&nbsp;</p> <p><strong>More about the team:&nbsp;</strong></p> <p>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. 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.</p> <p>We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.</p> <p>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.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>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.</li> <li>You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.</li> <li>You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.</li> <li>You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.</li> <li>You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.</li> <li>You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.</li> <li>You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.&nbsp;&nbsp;</li> </ul> <p><strong>What we look for:</strong></p> <ul> <li>5+ years of experience as a Product Manager working on platform products</li> <li>Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users</li> <li>Experience being a hands-on builder, must be comfortable using our own developer-facing products.</li> <li>Passion for designing products that simplify user experience of technically complex products.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Zone 1 Pay Range</div><div class="pay-range"><span>$156,600</span><span class="divider">&mdash;</span><span>$215,250 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;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 <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>
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