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Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

 and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more 

Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions

Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards

Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access

Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production

Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement

Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable

Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

BS degree in Computer Science or related technical field, or equivalent technical experience

12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership

12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)

8+ years of Python development experience, including building and maintaining production data pipelines

Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains

Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns

Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures

Experience leading orchestration or platform modernization efforts at scale

Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar

Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)

Track record of establishing data engineering standards and best practices in a federated analytics organization

Staff / Principal Level

Education

On-call rotation

Experience

Dropbox is seeking a Staff Data Engineer to join the Analytics Data Engineering team. The role focuses on modernizing the analytics platform, designing scalable data models, and establishing data governance standards. Key technical requirements include deep expertise in SQL, Python, dbt, and Airflow to build robust analytics pipelines.

Analytics Data Engineering (Sub Team)

Remote - US: Select locations

Canada

Mexico

Staff Data Engineer, Analytics Data Engineering

Full Time

Dropbox is seeking a Staff Data Engineer to join the Analytics Data Engineering team. You will lead the design of scalable data models, modernize orchestration infrastructure, and drive data governance standards using SQL, Python, Airflow, and dbt to power product and business decisions.

Remote - Canada: Select locations

Dropbox is seeking a Head of Scaled Sales to build and lead our sales-assisted growth motion from the ground up. This is a foundational leadership role for an entrepreneurial builder who is energized by creating a new motion from 0 to 100 and pairing product-led growth with the right sales touch to accelerate conversion, expansion, and efficiency. This leader will design the segmentation, coverage, and experimentation systems that determine when, where, and how sales engages self-serve customers, while partnering closely with marketing, data science, and sales analytics to turn signals into action. The right candidate will bring a strong operator mindset, deep fluency in PLG and hybrid GTM models, and a clear point of view on how to balance AI and human judgment to improve outcomes at scale.

Build a self-serve segmentation model that identifies the right customers for the right sales motion, maximizing cost efficiency, conversion, and speed through the funnel.

Design and implement a highly efficient coverage model that introduces sales engagement at the optimal point in the customer journey.

Partner closely with data science and sales analytics to develop and operationalize a data-driven targeting strategy.

Work cross-functionally with marketing to deliver targeted campaigns to the right customers at the right time with the right message, improving take rates and product expansion.

Define how AI should be deployed across the scaled sales motion to improve productivity and business outcomes, while making sound decisions about where human engagement adds the most value.

Build and run a strong experimentation framework that enables rapid testing, learning, and iteration across segmentation, outreach, coverage, and conversion strategies.

Establish clear operating rhythms, performance metrics, and diagnostic frameworks to understand business drivers and inform resourcing and investment decisions.

Lead execution with a strong bias for action, using data to continuously improve funnel performance and scale a repeatable sales-assisted PLG motion.

10+ years of experience in SaaS sales, revenue strategy, growth, or go-to-market leadership, including experience in scaled, high-velocity, or hybrid PLG and sales-assisted environments.

Proven track record designing or scaling segmentation, coverage, or targeting models that improved conversion, efficiency, or expansion outcomes.

Experience partnering closely with analytics, data science, marketing, and sales operations teams to translate insights into GTM execution.

Strong analytical fluency with the ability to define success metrics, inspect performance, identify root causes, and make data-driven decisions.

Demonstrated success building new programs, motions, or teams from the ground up in ambiguous, fast-changing environments.

Experience designing and evaluating experimentation frameworks to test GTM hypotheses and improve business performance over time.

Strong executive communication and cross-functional influence skills, with the ability to align stakeholders around new ways of working.

Experience building or leading a PLG-assist or sales-assisted growth motion in a multi-product SaaS company.

Experience applying AI or automation to improve sales productivity, targeting precision, or customer engagement outcomes.

Background in both strategy and execution, with comfort moving between high-level GTM design and hands-on operational problem solving.

Familiarity with customer lifecycle marketing, product signals, and expansion motions within self-serve or managed funnels.

Experience in environments undergoing GTM transformation, including introducing new motions, redefining ownership boundaries, or building new operating models.

Cross Functional Leadership

Dropbox is seeking a Director, Head of Scaled Sales to build and lead a sales-assisted growth motion from the ground up. This leadership role involves designing segmentation and coverage models to integrate product-led growth with sales engagement. The successful candidate will leverage AI and data analytics to optimize conversion and expansion across the customer journey.

CSO Projects & Vendor Management (Sub Team)

Remote - US: All locations

Director, Head of Scaled Sales

As a Senior Software Engineer on the Storage team, you will help design, build, and operate Dropbox’s large-scale storage systems that provide high durability and scalability for millions of users across all of Dropbox products. The Storage team owns the distributed storage infrastructure at the heart of Dropbox, systems responsible for storing exabytes of user data across multiple data centers worldwide.

You’ll collaborate with experienced engineers across infrastructure and product teams to improve reliability, optimize performance, and evolve the architecture of Dropbox’s storage layer. This role offers deep exposure to distributed systems and storage challenges such as replication, erasure coding, consistency tradeoffs, and performance tuning at massive scale.

It’s an ideal opportunity for engineers who love building resilient infrastructure, learning from complex production systems, and growing into technical leadership. You’ll gain hands-on experience operating mission-critical services, influence architectural decisions, and directly improve how Dropbox keeps user data safe, durable, and available.

Design, implement, and maintain large-scale distributed storage systems that ensure data durability, availability, and performance.

Collaborate with peers to evolve the architecture of Dropbox’s core storage infrastructure for improved scalability and efficiency.

Contribute to the design of replication, erasure coding, and system lifecycle management systems that balance cost, reliability, and performance.

Write high-quality, performant, and maintainable code in Go and Rust.

Participate in the on-call rotation, gaining firsthand experience operating Dropbox’s production storage systems

Investigate and resolve complex production issues, performing root cause analysis and driving continuous reliability improvements.

Partner with cross-functional teams (Networking, Hardware, Capacity Planning) to deliver end-to-end reliable and cost-efficient storage solutions

Take ownership of scoped projects and demonstrate growth toward leading larger, cross-team technical initiatives.

9+ years of strong understanding of distributed systems principles, including replication, consistency, and fault tolerance.

Experience developing and debugging production services in C++, Go, or Rust.

Familiarity with distributed storage systems, file systems, or data infrastructure at scale.

Demonstrated ability to write efficient, reliable, and maintainable code in mission-critical environments.

Experience troubleshooting complex systems and participating in on-call or operational rotations.

Solid communication and collaboration skills, with the ability to work across infrastructure and product teams.

Eagerness to learn, grow, and contribute to multi-year infrastructure evolution initiatives.

Experience building and operating large-scale object storage or distributed storage systems (e.g. S3, Ceph, GFS/Colossus).

Deep interest in systems performance, profiling, and low-level optimization.

Familiarity with replication protocols, erasure coding, and data placement algorithms.

Experience with production monitoring, observability, and incident response workflows.

Contributions to infrastructure projects, open-source systems, or developer tooling that improved reliability and performance.

 human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:

 Evaluate information and make decisions in complex situations.

 Learn, adjust, and stay effective through change.

 Communicate, collaborate, and build trust.

To learn more about why these skills matter and what the data shows about thriving through change, read this 

 from our Chief People Officer, Melanie Rosenwasser.

Senior Level

Communication

Dropbox is seeking a Senior Infrastructure Software Engineer for its Storage Core team to design and operate large-scale distributed storage systems. The role focuses on ensuring data durability and scalability using Go, Rust, and C++. Key responsibilities include optimizing replication, erasure coding, and system performance at a massive scale.

Storage Platform (Sub Team)

Senior Infrastructure Software Engineer, Storage Core

Dropbox is seeking a Senior Infrastructure Software Engineer for its Storage Core team. You will design, build, and operate large-scale distributed storage systems using Go, Rust, and C++. The role focuses on ensuring data durability and scalability for millions of users while optimizing performance and reliability.

As a Senior Infrastructure Engineer, your role will be crucial in shaping and constructing the robust systems that not only support our current flagship products but also lay the groundwork for the next wave of engineering innovations. From optimizing user experiences across various projects to ensuring seamless scalability and data integrity, you'll be at the forefront of shaping the technological backbone of our platform.

Collaborating closely with cross-functional teams, you'll leverage your expertise to tackle audacious challenges and push the boundaries of what's possible. Your contributions will directly impact millions of users, as every line of code you write furthers our mission to revolutionize the way people work and collaborate.

Join us in redefining the future, where your passion for building scalable, reliable systems will drive meaningful change on a global scale.

Build a Next-Generation Search Platform: Develop a robust, highly scalable in-house search platform to power Dropbox Dash -AI-powered search for work.

Unify Search Experiences: Design and implement a singular search platform that integrates search for Dropbox Dash with Dropbox’s file and folder search, delivering a seamless and cohesive user experience.

Support Diverse Search Use Cases: Enable a wide range of search and retrieval capabilities, including lexical search, vector search, multi-modal search, Q&A, and recommendations, to meet evolving customer needs.

Scale the Indexing Platform: Build a highly scalable indexing infrastructure capable of handling trillions of documents while ensuring performance, reliability, and efficiency.

Drive International Expansion: Expand the search platform's capabilities to support Dropbox’s growing global user base, ensuring a consistent, high-quality experience worldwide.

BS, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience

9+ years of professional software development experience

Proven track record constructing and managing expansive, multi-threaded, geographically dispersed backend systems

Proficient in programming and debugging across a range of languages such as Python, Go, C/C++, or Java

Extensive experience working with operating system internals, filesystems, databases, networks, and compilers considered advantageous

Ability to navigate and thrive in ambiguous situations, showcasing adaptability and open-ended problem solving.

Capable of taking ownership of long-term projects and seeing them through to completion.

Ability to set medium-to-long term strategy for business-impacting projects.

Experience working with Search Infrastructure tools such as ElasticSearch

Dropbox is hiring a Senior Infrastructure Software Engineer to develop a highly scalable, next-generation search platform for Dropbox Dash. The role focuses on building robust indexing infrastructure and unified search experiences using Python, Go, C/C++, or Java. You will tackle complex challenges in distributed systems to support a global user base.

Search indexing / Dash MCP (Sub Team)

Senior Infrastructure Software Engineer, Search Platform

Dropbox is seeking a Senior Infrastructure Software Engineer to join the Search Platform team. You will design and build highly scalable, next-generation search infrastructure to power Dropbox Dash, utilizing technologies like Python, Go, and Elasticsearch. This role focuses on developing robust backend systems capable of handling trillions of documents to support global user needs.

As a Site Reliability Engineer focused on company-wide reliability strategy, you will play a crucial role in advancing Dropbox’s stability, observability, incident response, and operational excellence as AI technologies reshape how software is built and operated. You will help define the reliability strategy for a new chapter of agentic development and AI-enabled software delivery, including preparing Dropbox for increases in pull request volume, service complexity, incident patterns, and demand for debugging and monitoring tools. You will partner across Engineering, Product, and leadership teams to raise the bar for reliability, guide long-term platform investments, and ensure Dropbox continues to deliver dependable experiences for millions of users.

Define and evolve Dropbox’s company-wide technical reliability strategy to support the changing engineering environment created by AI-assisted and agentic software development.

Set multi-year reliability goals, standards, and roadmaps across observability, debugging, incident management, service health, and operational readiness.

Lead cross-team initiatives that reduce reliability risk as software delivery velocity, pull request volume, service complexity, and incident volume increase.

Partner with engineering leaders and platform teams to improve monitoring, alerting, debugging, SLOs, SLAs, and incident response systems at company scale.

Identify emerging reliability risks introduced by AI-enabled development workflows and design scalable systems, processes, and guardrails to mitigate them.

Provide technical leadership and mentorship to engineers across teams, raising engineering quality, reliability judgment, and operational excellence.

Drive clear communication and alignment with senior stakeholders on reliability priorities, tradeoffs, risks, and execution progress.

BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.

12+ years of experience in software engineering, site reliability engineering, infrastructure engineering, or related technical roles.

Proven ability to define and deliver multi-year, multi-team reliability, infrastructure, or platform strategies with measurable business and customer impact.

Deep experience with distributed systems, production operations, observability, incident response, SLOs/SLAs, debugging, and reliability risk management.

Demonstrated ability to diagnose complex technical problems, debug production systems, automate operational workflows, and design resilient software components.

Experience influencing engineering roadmaps across multiple teams and making technical decisions that optimize for the broader engineering organization.

Strong communication and collaboration skills, with the ability to align cross-functional stakeholders through ambiguity and drive execution across teams.

Experience adapting reliability strategies, developer tooling, or operational processes for AI-assisted software development workflows.

Experience building or scaling observability, debugging, incident management, or developer productivity platforms for large engineering organizations.

Experience leading reliability improvements in environments with high deployment velocity, complex service dependencies, and large-scale production systems.

Track record of mentoring senior engineers, setting technical standards, and spreading reliability best practices through documentation, reviews, talks, or architecture guidance.

Familiarity with AI-enabled tooling, agentic development workflows, or operational risks introduced by rapid automation in the software development lifecycle.

Dropbox is seeking a Staff Site Reliability Engineer to lead company-wide reliability strategy and operational excellence. This role focuses on advancing observability, incident response, and distributed systems stability as AI technologies reshape software delivery. You will define multi-year technical roadmaps and partner with engineering leaders to ensure dependable experiences for millions of users.

Cloud Platform (Sub Team)

Staff Site Reliability Engineer, Production Engineering

Dropbox is hiring a Staff Site Reliability Engineer to define and evolve the company's technical reliability strategy. The role involves leading cross-team initiatives in observability, incident management, and distributed systems to support AI-enabled software delivery. The ideal candidate will drive operational excellence and scalability for millions of users.

Dropbox is on a journey to becoming a multi-product company, either through acquisitions or through building net new products from the ground up. The Identity platform and services need to evolve to enable this strategic shift from single product to multi-product. In this role, you will re-architect the Identity systems to enable Dropbox’s success as a multi-product company. You will contribute to large scale distributed systems design, API design, phased data migrations, persistent storage design and other foundational work that not only helps to develop the Identity Platform services at scale but also lends itself for ease of operations.

Collaborate with product engineering and internal teams which depend on Identity to implement their wide spanning use cases. Communication and collaboration is very important to be able to work with our dependent teams across the company.

Have a bias for action and deliver work of high quality.

Mentor more junior engineers on the team and be a partner to your EM in building a successful team.

Cultivate a collaborative and inclusive culture, championing team members and upholding our company values.

Ensure software and architecture excellence through quality feedback, risk mitigation, and alignment with technical strategy and business goals.

8+ years of software engineering or related industry experience.

Experience working with and supporting high QPS platform services running in production.

Experience in executing on a system-focused roadmap for a major distributed system at scale and leading its phased implementation.

Prior experience with Identity & Auth concepts like OAuth, SSO, OIDC, SAML, MFA, RBAC.

Dropbox is hiring a Senior Infrastructure Software Engineer for the Identity & Auth Engineering team to re-architect identity systems for a multi-product company shift. The role focuses on large-scale distributed systems, API design, and phased data migrations using Python and Go. Responsibilities include mentoring junior engineers and ensuring architecture excellence.

Business Platform (Sub Team)

Senior Infrastructure Software Engineer, Identity & Auth Engineering

Dropbox is seeking a Senior Infrastructure Software Engineer for its Identity & Auth Engineering team. The role focuses on re-architecting identity systems to support a multi-product strategy, involving large-scale distributed systems design and API development. Primary technologies include Python, Go, and identity protocols such as OAuth and SAML.

 to lead our global field and partner marketing organization and drive pipeline growth across our 

 business and strategic partner ecosystem. 

This executive Go-To-Market (GTM) leader will own the regional marketing strategy, account-based execution, mid-to-bottom funnel demand engines, and partner marketing required to scale business-to-business revenue globally.  While our PLG team focuses on the frictionless, self-serve transactional customer lifecycle, this leader owns the end-to-end marketing journey for sales-engaged and partner-led motions. 

This role requires an exceptional strategic operator who can orchestrate targeted account-based marketing (ABM) and regional demand generation alongside localized partner programs—including managing co-marketing initiatives with strategic AI technology ecosystems (ChatGPT, Claude, and Gemini) and supporting our distribution networks. Partnering closely with regional Sales and Channel leaders, this executive will oversee integrated campaigns, joint partner value propositions, content strategies, and comprehensive PLG to SLG customer lifecycle initiatives.

 Own the strategic vision and performance metrics (creation, coverage, and acceleration) for both direct field pipeline and indirect partner-led business globally.

 Lead the Integrated Marketing team to design and deploy highly optimized mid- and bottom-funnel acquisition campaigns that move prospects effectively through the sales pipeline.

 Oversee the upstream Campaigns team to deliver compelling content frameworks and high-impact customer marketing initiatives that drive post-sale engagement, adoption, brand advocacy, and net revenue retention (NRR).

 Develop and execute high-impact joint marketing programs with strategic AI and productivity ecosystem partners (including ChatGPT, Claude, Gemini). Build compelling value propositions that position Dropbox as the core content layer for modern workflows.

 Oversee marketing strategies to and through Dropbox’s distribution networks and cloud marketplaces to support our incremental channel revenue stream.

 Build, scale, and institutionalize Dropbox’s ABM framework. Define account selection, tiering, multi-channel orchestration, and tailored campaigns for high-value corporate and mid-market accounts.

 Partner closely with the PLG Digital Marketing and Product teams to identify accounts with high existing self-serve usage, triggering targeted field and partner campaigns to convert them into larger team or corporate agreements.

 Establish trusted partnerships with regional Sales VPs and the Alliance organization to align on territory strategies, partner incentives, target account lists, and quarterly outbound cadences.

 Oversee the global portfolio of regional field events, proprietary customer advisory boards (CABs), executive roundtable programs, and major industry tech activations.

 Manage, mentor, and scale a multi-disciplinary, globally distributed team spanning four core functions: 

 (Content & Customer Marketing). Foster a high-performance culture tied directly to pipeline health and business outcomes.

 of B2B marketing experience with increasing leadership responsibility spanning field marketing, partner/channel marketing, and demand generation.

 of experience leading, scaling, and managing multi-disciplinary marketing teams, including direct oversight of demand generation, content/creative production, or customer marketing functions.

 Proven track record of managing joint marketing programs with major technology platforms, SaaS alliances, or AI ecosystems.

 Experience partnering directly with Sales VPs, directors, and external partner leadership in a multi-tiered GTM environment.

 Deep understanding of multi-month B2B sales cycles, buying committees, account progression, and revenue attribution models.

 Strong analytical orientation with hands-on experience using pipeline metrics, win rates, funnel velocity, and ROI modeling to drive investment decisions.

 Proven success working within a hybrid B2B model, specifically leveraging product-led metrics (PQLs, active usage) to fuel sales pipelines and partner co-selling.

 Experience supporting multi-region sales and partner organizations, with a strong ability to balance global consistency with local market nuances.

 Familiarity with modern business tech stacks (PRM/Partner Relationship Management systems, CRM, MAP, and ABM/intent data platforms).

 Strong understanding of the modern AI landscape, developer tool ecosystems, and cloud productivity paradigms.

 Exceptional communication and presentation skills, with the ability to confidently command attention and influence internal leadership and external clients/partners.

People Management

Stakeholder Management

Pipeline Management

Dropbox is hiring a Head of Field and Partner Marketing to lead its global field and partner marketing organization. This executive GTM leader will drive pipeline growth for the Sales-Led Growth (SLG) business and strategic AI partner ecosystems using ABM and integrated demand generation.

Marketing Strategy and Operations (Sub Team)

Head of Field and Partner Marketing 

As an Account Executive on the Growth team, you will help Dropbox expand how we bring our Product Suite and emerging AI products to new customers.

In this role, you’ll focus on identifying, engaging, and developing opportunities with net new customers. You’ll work with prospects to understand their needs, learn which use cases resonate, and help create successful outcomes.  You’ll be expected to execute consistently, manage your pipeline effectively, and contribute feedback that helps improve our sales motion, messaging, and approach over time.

This is an opportunity to build strong sales experience across a growing portfolio of products while contributing to Dropbox’s next phase of growth.

Own the full sales cycle from pipeline generation through close and renewal within your territory

Build pipeline from scratch by prospecting into new teams, departments, and executive stakeholders

Expand beyond existing motions to uncover new use cases and opportunities

Consistently generate pipeline through outbound efforts, account mapping, events, and partner collaboration

Forecast accurately and manage pipeline to consistently meet or exceed revenue targets

Lead strong discovery to uncover customer challenges, priorities, and desired outcomes

Apply structured qualification and value-selling frameworks (e.g., MEDDICC, SPICED) to advance deals

Dropbox is hiring an Account Executive for its Growth team to drive the adoption of its Product Suite and AI tools. The role focuses on full-cycle sales, from pipeline generation to closing deals with mid-market and enterprise customers. Key requirements include experience with B2B SaaS, value-selling frameworks like MEDDICC, and proficiency in Salesforce.

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