Role Description

As a Risk & Governance Manager at Dropbox, you will join the Governance, Risk, & Compliance (GRC) team, you will help mature and scale programs that enable Dropbox to make thoughtful, risk-informed decisions. This is a broad, cross-functional role supporting multiple areas of the GRC program, including enterprise risk management, AI governance, business resilience, third-party risk, internal controls, audit readiness, and risk reduction initiatives.

You will partner closely with teams across Security, Privacy, Engineering, Product, Legal, and Compliance to identify, assess, prioritize, and reduce risk across Dropbox’s products, services, and operations. This role is ideal for someone who enjoys working across domains, can bring structure to ambiguous problems, and is comfortable translating complex technical, regulatory, and business considerations into practical governance programs.

Additionally, you will be responsible for implementing programs and controls to help us maintain user trust and adhere to Dropbox’s AI principles and trust policies. You will help both Dropbox and our customers make informed decisions about the use of AI products and services. 

Responsibilities

Governance Program Management

• Support the design, implementation, and continuous improvement of Dropbox’s Governance, Risk, and Compliance programs, including quantitative risk management (FAIR), governance, controls, compliance readiness, issue management, and risk reporting.
• Plan and execute risk assessments, gap analyses, certification readiness activities, compliance reviews, and audit support processes across areas such as security, privacy, AI, reliability, third-party services, and operational risk.
• Partner with cross-functional stakeholders to identify risks, assess impact and likelihood, define mitigation plans, assign owners, and track risk reduction efforts through completion.
• Drive risk reduction projects that strengthen Dropbox’s control environment, improve operational maturity, and help teams make risk-informed decisions.
• Coordinate improvements to internal risk management systems, workflows, documentation, reporting, and policies to increase consistency, transparency, and program effectiveness.
• Collaborate with internal and external auditors throughout compliance engagements, including evidence collection, stakeholder coordination, gap remediation, and management reporting.
• Support risk reviews of third-party service providers and help connect third-party findings to broader enterprise risk, compliance, and customer trust objectives.
• Lead or support complex, cross-functional governance initiatives, such as software asset management, control rationalization, audit readiness, or risk remediation programs.
• Play an active role in risk incident readiness and response by helping teams prepare for, mitigate, respond to, recover from, and learn from risk events.

AI Governance

• Help implement, maintain, and mature programs that support Dropbox’s AI governance framework, company AI Principles, legal and regulatory obligations, and customer trust commitments.
• Partner with Product, Engineering, Security, Privacy, Legal, Compliance, and business teams to assess AI use cases and define practical governance requirements for intake, documentation, review, approval, monitoring, and issue remediation.
• Support AI risk assessments that consider security, privacy, transparency, reliability, misuse, bias and fairness, data governance, compliance, and operational risk.
• Translate emerging AI regulatory, ethical, and industry expectations into scalable internal policies, standards, controls, and operating practices.
• Develop metrics, KPIs, dashboards, and reporting to communicate AI governance maturity, risk posture, compliance status, and remediation progress to stakeholders and leadership.
• Provide risk-informed guidance to stakeholders and leadership on AI governance decisions, policy updates, regulatory developments, and responsible AI practices.

Business Resilience and Operational Risk

• Support Dropbox’s business resilience program, including business continuity planning, business impact assessments, tabletop exercises, incident readiness, recovery planning, and after-action reviews.
• Partner with key teams to identify critical services, dependencies, operational risks, continuity requirements, and resilience gaps.
• Drive or support tabletop exercises and scenario-based reviews for key teams, helping document lessons learned, owners, timelines, and follow-up actions.
• Track resilience risks and remediation activities, escalating themes, blockers, and emerging risks to appropriate stakeholders or governance forums.
• Help connect business resilience work to broader risk management, compliance, customer trust, audit readiness, and incident response objectives.

Requirements

• 7+ years of experience building or maintaining risk, governance, compliance, audit, business resilience, security, privacy, or related programs
• Experience at a publicly traded, fast paced SaaS company
• Experience managing and reducing AI, security, privacy, or reliability risks
• Knowledge of FAIR quantitative risk methodologies
• Familiarity with a broad range of technical concepts relevant to cloud computing and SaaS environments: logical access, agile development process, security architecture, information security, network security, and privacy
• Strong project management and organizational skills
• Collaborative working style and strong relationship-building skills, with the ability to work effectively with both technical and non-technical teams
• Excellent writing, communication, organizational skills, and strong attention to detail
• Ability to confidently convey nuanced information to senior leaders
• Related professional certifications such as AIGP (AI Governance Professional) or CIPP (Certified Information Privacy Professional) preferred

Preferred Qualifications

• Deep subject matter knowledge in AI governance, security, privacy, or reliability risk, i.e. sufficient technical knowledge to have effective conversations with Dropbox engineers
• Self starter and ability to navigate ambiguity, proven history of owning and delivering a project end-to-end, has strong Executive presence
• Experience completing complex cross-functional projects that can turn into self-sustaining programs as part of a risk team

Compensation

Role Description

As a Risk & Governance Manager at Dropbox, you will join the Governance, Risk, & Compliance (GRC) team, you will help mature and scale programs that enable Dropbox to make thoughtful, risk-informed decisions. This is a broad, cross-functional role supporting multiple areas of the GRC program, including enterprise risk management, AI governance, business resilience, third-party risk, internal controls, audit readiness, and risk reduction initiatives.

You will partner closely with teams across Security, Privacy, Engineering, Product, Legal, and Compliance to identify, assess, prioritize, and reduce risk across Dropbox’s products, services, and operations. This role is ideal for someone who enjoys working across domains, can bring structure to ambiguous problems, and is comfortable translating complex technical, regulatory, and business considerations into practical governance programs.

Additionally, you will be responsible for implementing programs and controls to help us maintain user trust and adhere to Dropbox’s AI principles and trust policies. You will help both Dropbox and our customers make informed decisions about the use of AI products and services. 

Responsibilities

Governance Program Management

• Support the design, implementation, and continuous improvement of Dropbox’s Governance, Risk, and Compliance programs, including quantitative risk management (FAIR), governance, controls, compliance readiness, issue management, and risk reporting.
• Plan and execute risk assessments, gap analyses, certification readiness activities, compliance reviews, and audit support processes across areas such as security, privacy, AI, reliability, third-party services, and operational risk.
• Partner with cross-functional stakeholders to identify risks, assess impact and likelihood, define mitigation plans, assign owners, and track risk reduction efforts through completion.
• Drive risk reduction projects that strengthen Dropbox’s control environment, improve operational maturity, and help teams make risk-informed decisions.
• Coordinate improvements to internal risk management systems, workflows, documentation, reporting, and policies to increase consistency, transparency, and program effectiveness.
• Collaborate with internal and external auditors throughout compliance engagements, including evidence collection, stakeholder coordination, gap remediation, and management reporting.
• Support risk reviews of third-party service providers and help connect third-party findings to broader enterprise risk, compliance, and customer trust objectives.
• Lead or support complex, cross-functional governance initiatives, such as software asset management, control rationalization, audit readiness, or risk remediation programs.
• Play an active role in risk incident readiness and response by helping teams prepare for, mitigate, respond to, recover from, and learn from risk events.

AI Governance

• Help implement, maintain, and mature programs that support Dropbox’s AI governance framework, company AI Principles, legal and regulatory obligations, and customer trust commitments.
• Partner with Product, Engineering, Security, Privacy, Legal, Compliance, and business teams to assess AI use cases and define practical governance requirements for intake, documentation, review, approval, monitoring, and issue remediation.
• Support AI risk assessments that consider security, privacy, transparency, reliability, misuse, bias and fairness, data governance, compliance, and operational risk.
• Translate emerging AI regulatory, ethical, and industry expectations into scalable internal policies, standards, controls, and operating practices.
• Develop metrics, KPIs, dashboards, and reporting to communicate AI governance maturity, risk posture, compliance status, and remediation progress to stakeholders and leadership.
• Provide risk-informed guidance to stakeholders and leadership on AI governance decisions, policy updates, regulatory developments, and responsible AI practices.

Business Resilience and Operational Risk

• Support Dropbox’s business resilience program, including business continuity planning, business impact assessments, tabletop exercises, incident readiness, recovery planning, and after-action reviews.
• Partner with key teams to identify critical services, dependencies, operational risks, continuity requirements, and resilience gaps.
• Drive or support tabletop exercises and scenario-based reviews for key teams, helping document lessons learned, owners, timelines, and follow-up actions.
• Track resilience risks and remediation activities, escalating themes, blockers, and emerging risks to appropriate stakeholders or governance forums.
• Help connect business resilience work to broader risk management, compliance, customer trust, audit readiness, and incident response objectives.

Requirements

• 7+ years of experience building or maintaining risk, governance, compliance, audit, business resilience, security, privacy, or related programs
• Experience at a publicly traded, fast paced SaaS company
• Experience managing and reducing AI, security, privacy, or reliability risks
• Knowledge of FAIR quantitative risk methodologies
• Familiarity with a broad range of technical concepts relevant to cloud computing and SaaS environments: logical access, agile development process, security architecture, information security, network security, and privacy
• Strong project management and organizational skills
• Collaborative working style and strong relationship-building skills, with the ability to work effectively with both technical and non-technical teams
• Excellent writing, communication, organizational skills, and strong attention to detail
• Ability to confidently convey nuanced information to senior leaders
• Related professional certifications such as AIGP (AI Governance Professional) or CIPP (Certified Information Privacy Professional) preferred

Preferred Qualifications

• Deep subject matter knowledge in AI governance, security, privacy, or reliability risk, i.e. sufficient technical knowledge to have effective conversations with Dropbox engineers
• Self starter and ability to navigate ambiguity, proven history of owning and delivering a project end-to-end, has strong Executive presence
• Experience completing complex cross-functional projects that can turn into self-sustaining programs as part of a risk team

Compensation

As an 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.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

• Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections.
• Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems.
• Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes.
• Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide.
• Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team.
• Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.

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, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• 5+ 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
• Proficiency with operating system internals, filesystems, databases, networks, and compilers.
• Proven track record of defining & delivering well-scoped milestones/projects
• Ability to independently define right solutions for ambiguous, open-ended problems

• Familiarity with Semaphores and Mutexes 

Compensation

As an 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.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

• Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections.
• Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems.
• Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes.
• Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide.
• Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team.
• Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.

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, MS, or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• 5+ 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
• Proficiency with operating system internals, filesystems, databases, networks, and compilers.
• Proven track record of defining & delivering well-scoped milestones/projects
• Ability to independently define right solutions for ambiguous, open-ended problems

• Familiarity with Semaphores and Mutexes 

Compensation

Role Description

As the Head of Sales Ops and Analytics at Dropbox, you will lead the strategy, operating model, and team responsible for scaling a data-driven, efficient, and predictable go-to-market engine. This leader sits at the center of sales execution, partnering across Sales, Finance, Strategy, Marketing, Product, Customer Success, and Engineering to translate business priorities into durable systems, trusted metrics, streamlined processes, and actionable insights.

You will play a central role in sales planning, forecasting support, territory and account planning, pipeline visibility, seller productivity, and business performance analytics. You will also help shape the data and systems foundation that powers revenue execution, ensuring leaders and frontline teams can make faster, better decisions with confidence.

This is a highly visible leadership role for someone who enjoys building high-performing teams, simplifying complexity, and driving cross-functional outcomes. You will have the opportunity to influence senior leadership decisions, modernize critical GTM workflows, and create measurable impact on seller efficiency and business performance.

Responsibilities

• Lead the Sales Operations and Analytics function, including strategy, organizational design, prioritization, and operating rhythms for the team.
• Own the sales operating backbone across planning, forecasting support, territory and account planning, pipeline visibility, reporting, and productivity measurement.
• Build and evolve the authoritative sales data foundation, including standardized metric definitions, trusted reporting tables, governance, SLAs, and cross-functional alignment.
• Partner across Sales, Finance, Strategy, Marketing, Product, Customer Success, and Engineering to design scalable processes, systems, dashboards, and insights that improve execution and decision-making.
• Drive automation and workflow improvements across core seller motions including account planning, quoting and approvals, outbound routing, and related revenue workflows.
• Establish a high-bar analytics practice that delivers actionable insights embedded in seller and leadership workflows.
• Hire, coach, and develop senior operations and analytics leaders while building a culture of rigor, urgency, and business impact.

Requirements

• 15+ years of experience in sales operations, revenue operations, business operations, analytics, or closely related go-to-market leadership functions.
• 7+ years of people leadership experience, including leading senior managers and building high-performing, cross-functional teams.
• Deep experience with sales planning, forecasting, pipeline management, performance reporting, and operational cadence design in a complex B2B go-to-market environment.
• Proven track record of partnering effectively with executive stakeholders across Sales, Finance, Strategy, Product, and Engineering.
• Strong analytical and systems thinking, with experience building trusted metrics, data governance practices, and scalable reporting foundations.
• Experience driving process redesign and workflow automation across CRM, forecasting, quoting, or seller productivity workflows.
• Excellent communication and executive influence skills, including the ability to turn ambiguous business needs into clear operating plans and measurable outcomes.

Role Description

Dropbox is looking for an Influencer Marketing Manager to execute creator programs that drive brand awareness across our product portfolio. You'll own campaigns end-to-end—from sourcing creators to shaping briefs, coming up with content, and measuring impact—working closely with Brand, Social, Comms, Events, Integrated Marketing, and Paid Media.

You'll help place Dropbox at the center of cultural conversations by bringing narrative-driven content to life through creator partnerships that support product launches and integrated brand activations. You'll diversify our creative mix toward work that feels native and surprising, ensuring every partnership is strategic, measurable, and built to reach the right audience.

This role sits within the Brand Marketing team and reports to the Head of Partnerships and Influencer.

Responsibilities

• Execute and evolve our influencer marketing strategy to drive top-of-funnel brand awareness and engagement, including support for product launches and integrated brand campaigns.
• Help position Dropbox within relevant cultural conversations through thoughtful, high-impact creator partnerships.
• Drive the creation of engaging, shareable content across TikTok, YouTube, Instagram, and emerging platforms.
• Own end-to-end campaign execution including planning, timelines, budgets, briefs, and deliverables.
• Build and scale an always-on creator and UGC program to support ongoing brand storytelling.
• Partner with agencies to source and evaluate creators using both data and strong brand judgment (audience fit, content quality, brand safety, performance history).
• Develop clear, compelling creative briefs that balance brand standards with authentic creator voice; manage reviews and approvals.
• Coordinate campaign execution including content schedules, tracking links/UTMs, and whitelisting/ads permissions.
• Maintain program operations including creator databases, templates, and briefs
• Stay current on creator trends, platform changes, and emerging tools; proactively bring new ideas and opportunities to the team.

Requirements

• 4+ years of influencer marketing experience, with a proven track record of executing end-to-end campaigns (in-house or agency).
• Strong project management skills and ability to run multiple campaigns simultaneously with high attention to detail.
• Excellent creator taste and brand judgment, paired with a data-informed approach to decision-making.
• Experience managing influencer partnerships, with a strong understanding of key contract terms (deliverables, timelines, usage rights, exclusivity, FTC compliance, brand safety).
• Ability to define KPIs, analyze performance, and translate results into actionable insights.
• Strong writing and communication skills, especially in developing creator-facing briefs. 
• Proven ability to collaborate cross-functionally.
• Self-starter with strong ownership and a bias toward action.
• Familiarity with AI or tech/productivity tools is a plus.

Role Description

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.

Responsibilities

• 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.

Requirements

• 12+ 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.

Role Description

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.

Responsibilities

• 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.

Requirements

• 12+ 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.

Role Description

As a Dropbox Product Counsel, you’ll have a broad range of responsibilities and will have the opportunity to help counsel our product and security teams and privacy program. We're looking for someone to work closely with our product, security, and infrastructure teams to ensure Dropbox continues to be an industry leader in protecting user data, implementing privacy by design, responding to security incidents, and using AI and machine learning technology responsibly. You will have immediate impact with your substantive knowledge, analytic rigor, sophisticated judgment, effective interpersonal skills, and ability to get things done. If you love a challenging, team-focused and fast environment, then this is the place for you. (This role will be filled at the Associate Counsel or Counsel level, depending on experience.)

Responsibilities

• Counsel on user privacy and data protection issues in a dynamic and evolving environment
• Investigate and assess security and privacy incidents, analyze legal responsibilities, and drive legal and regulatory responses
• Provide legal support to Dropbox’s incident response program, which deals with a wide range of business issues beyond security and privacy
• Advise on cross-functional company projects related to data protection, privacy by design, and AI and machine learning
• Review new products and features for launch readiness
• Provide sophisticated advice to engineers working on security, threat intelligence, and abuse issues

Requirements

• You have experience of counseling or litigating product, security, or data privacy issues (1-3+ years)
• You are broadly knowledgeable in data privacy law, information security and cybersecurity, AI/ML, copyright, consumer protection, content regulation, and free expression issues
• You possess exceptional written and verbal communication skills adaptable to different audiences
• You have sound business judgment
• You've nurtured phenomenal interpersonal skills and ability to work collaboratively and adapt in a dynamic environment
• You are willing to support incident response outside of traditional business hours
• You have a JD, are admitted to a US state bar, and have a distinctive academic record.

Preferred Qualifications

• You've got deep expertise in, and real passion for, technology
• You’ve previously worked with SaaS, AI, or other online companies, either as outside counsel or in-house
• You have experience counseling or managing an incident response or other security program

Compensation

Role Description

As a Dropbox Product Counsel, you’ll have a broad range of responsibilities and will have the opportunity to help counsel our product and security teams and privacy program. We're looking for someone to work closely with our product, security, and infrastructure teams to ensure Dropbox continues to be an industry leader in protecting user data, implementing privacy by design, responding to security incidents, and using AI and machine learning technology responsibly. You will have immediate impact with your substantive knowledge, analytic rigor, sophisticated judgment, effective interpersonal skills, and ability to get things done. If you love a challenging, team-focused and fast environment, then this is the place for you. (This role will be filled at the Associate Counsel or Counsel level, depending on experience.)

Responsibilities

• Counsel on user privacy and data protection issues in a dynamic and evolving environment
• Investigate and assess security and privacy incidents, analyze legal responsibilities, and drive legal and regulatory responses
• Provide legal support to Dropbox’s incident response program, which deals with a wide range of business issues beyond security and privacy
• Advise on cross-functional company projects related to data protection, privacy by design, and AI and machine learning
• Review new products and features for launch readiness
• Provide sophisticated advice to engineers working on security, threat intelligence, and abuse issues

Requirements

• You have experience of counseling or litigating product, security, or data privacy issues (1-3+ years)
• You are broadly knowledgeable in data privacy law, information security and cybersecurity, AI/ML, copyright, consumer protection, content regulation, and free expression issues
• You possess exceptional written and verbal communication skills adaptable to different audiences
• You have sound business judgment
• You've nurtured phenomenal interpersonal skills and ability to work collaboratively and adapt in a dynamic environment
• You are willing to support incident response outside of traditional business hours
• You have a JD, are admitted to a US state bar, and have a distinctive academic record.

Preferred Qualifications

• You've got deep expertise in, and real passion for, technology
• You’ve previously worked with SaaS, AI, or other online companies, either as outside counsel or in-house
• You have experience counseling or managing an incident response or other security program

Compensation

Role Description

As a Revenue Accountant, you will join a high-performing Order to Cash accounting team responsible for delivering accurate and timely financial results while supporting a collaborative team culture. In this role, you will play a key part in revenue accounting operations, including supporting the monthly close and quarterly reporting processes, ensuring compliance with accounting policies, and maintaining effective internal controls.

You will partner cross-functionally with Sales, Marketing, Finance, and Engineering teams to support and scale revenue programs, while also helping drive process improvements as Dropbox continues to grow and evolve. You will primarily support Dropbox’s outbound business, taking ownership of the accounting for emerging initiatives, Sales Compensation, and Market Development Funds (MDF) programs. You will develop technical accounting conclusions in these areas and ensure programs are accounted for in compliance with relevant accounting guidance.

This role offers the opportunity to partner cross-functionally and take ownership of the accounting for key business programs, while influencing scalable accounting processes and exploring the use of AI and automation to enhance accounting workflows. The Revenue Accountant will report to the Revenue Manager and collaborate closely with stakeholders across the organization. This role may require light travel to meet with internal team members

Responsibilities

• Support the monthly and quarterly close processes, including preparation of journal entries, account reconciliations, flux analysis, and financial reporting deliverables within areas of ownership
• Own accounting for outbound revenue programs, including emerging programs, Sales Compensation, Market Development Funds (MDF), ensuring accurate and timely recognition in accordance with accounting policies
• Evaluate and document technical accounting conclusions in accordance with ASC 606 and ASC 340 for new and evolving go-to-market initiatives
• Partner cross-functionally with Sales, Marketing, Finance, Engineering, and Channel teams to understand program design, provide accounting guidance, and thoughtfully evaluate program structures to ensure appropriate accounting treatment
• Develop, document, and enhance revenue accounting processes and internal controls, including ensuring compliance with Sarbanes-Oxley (SOX) requirements
• Drive process improvements and automation initiatives, including evaluating and leveraging AI tools, in partnership with Systems and other teams to improve the efficiency and scalability of revenue accounting operations
• Support internal and external audits and contribute to ad hoc projects and business initiatives

Requirements

• 4+ years of experience in revenue accounting, including experience in public accounting (Big 4 preferred) or a high-growth technology company
• Strong understanding and practical application of revenue recognition guidance (ASC 606 & ASC 340)
• Experience working with complex revenue arrangements, preferably in a SaaS or subscription-based business model
• Experience evaluating, documenting, and communicating technical accounting conclusions, including drafting accounting memos and policies in compliance with accounting standards
• Demonstrated ability to drive process improvements through automation and innovative solutions to enhance efficiency and scalability
• Advanced Excel skills, including the ability to analyze large datasets, prepare journal entries, and perform ad hoc analyses
• Strong analytical and problem-solving skills, with attention to detail and the ability to manage multiple priorities
• Ability to operate effectively in a fast-paced environment, including navigating ambiguity and evolving business processes
• Effective communication and collaboration skills, with the ability to partner cross-functionally and explain accounting concepts to non-accounting stakeholders

Preferred Qualifications

• CPA or equivalent professional certification
• Familiarity with Oracle ERP systems
• Experience working with Salesforce or similar CRM platforms
• Strong understanding of ASC 606 in a SaaS or subscription-based business model, including ratable and usage-based revenue recognition
• Has worked cross functionally with a Go-to-Market organization
• Exposure to sales compensation, rebates, or Market Development Fund (MDF) accounting
• Demonstrated ability to drive process improvements or implement scalable accounting processes

Compensation

Role Description

As a Revenue Accountant, you will join a high-performing Order to Cash accounting team responsible for delivering accurate and timely financial results while supporting a collaborative team culture. In this role, you will play a key part in revenue accounting operations, including supporting the monthly close and quarterly reporting processes, ensuring compliance with accounting policies, and maintaining effective internal controls.

You will partner cross-functionally with Sales, Marketing, Finance, and Engineering teams to support and scale revenue programs, while also helping drive process improvements as Dropbox continues to grow and evolve. You will primarily support Dropbox’s outbound business, taking ownership of the accounting for emerging initiatives, Sales Compensation, and Market Development Funds (MDF) programs. You will develop technical accounting conclusions in these areas and ensure programs are accounted for in compliance with relevant accounting guidance.

This role offers the opportunity to partner cross-functionally and take ownership of the accounting for key business programs, while influencing scalable accounting processes and exploring the use of AI and automation to enhance accounting workflows. The Revenue Accountant will report to the Revenue Manager and collaborate closely with stakeholders across the organization. This role may require light travel to meet with internal team members

Responsibilities

• Support the monthly and quarterly close processes, including preparation of journal entries, account reconciliations, flux analysis, and financial reporting deliverables within areas of ownership
• Own accounting for outbound revenue programs, including emerging programs, Sales Compensation, Market Development Funds (MDF), ensuring accurate and timely recognition in accordance with accounting policies
• Evaluate and document technical accounting conclusions in accordance with ASC 606 and ASC 340 for new and evolving go-to-market initiatives
• Partner cross-functionally with Sales, Marketing, Finance, Engineering, and Channel teams to understand program design, provide accounting guidance, and thoughtfully evaluate program structures to ensure appropriate accounting treatment
• Develop, document, and enhance revenue accounting processes and internal controls, including ensuring compliance with Sarbanes-Oxley (SOX) requirements
• Drive process improvements and automation initiatives, including evaluating and leveraging AI tools, in partnership with Systems and other teams to improve the efficiency and scalability of revenue accounting operations
• Support internal and external audits and contribute to ad hoc projects and business initiatives

Requirements

• 4+ years of experience in revenue accounting, including experience in public accounting (Big 4 preferred) or a high-growth technology company
• Strong understanding and practical application of revenue recognition guidance (ASC 606 & ASC 340)
• Experience working with complex revenue arrangements, preferably in a SaaS or subscription-based business model
• Experience evaluating, documenting, and communicating technical accounting conclusions, including drafting accounting memos and policies in compliance with accounting standards
• Demonstrated ability to drive process improvements through automation and innovative solutions to enhance efficiency and scalability
• Advanced Excel skills, including the ability to analyze large datasets, prepare journal entries, and perform ad hoc analyses
• Strong analytical and problem-solving skills, with attention to detail and the ability to manage multiple priorities
• Ability to operate effectively in a fast-paced environment, including navigating ambiguity and evolving business processes
• Effective communication and collaboration skills, with the ability to partner cross-functionally and explain accounting concepts to non-accounting stakeholders

Preferred Qualifications

• CPA or equivalent professional certification
• Familiarity with Oracle ERP systems
• Experience working with Salesforce or similar CRM platforms
• Strong understanding of ASC 606 in a SaaS or subscription-based business model, including ratable and usage-based revenue recognition
• Has worked cross functionally with a Go-to-Market organization
• Exposure to sales compensation, rebates, or Market Development Fund (MDF) accounting
• Demonstrated ability to drive process improvements or implement scalable accounting processes

Compensation

Role Description

This is a high-impact corporate finance role with direct exposure to senior leadership and company-wide decision-making. The role sits at the center of Dropbox’s corporate finance function, offering a unique, end-to-end view of the P&L and a cross-company perspective on how the business operates across revenue and expense.

Operating as a generalist, you will contribute to and help operationalize topline forecasting in close partnership with revenue finance leadership, support expense planning and consolidation, and synthesize trends across the company—translating business signals into decision-ready forecasts and insights for senior leadership.

You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve how performance is modeled, interpreted, and communicated, with the goal of providing leadership with earlier visibility into trends, risks, and tradeoffs. This role focuses on connecting and interpreting signals across the full P&L, ensuring forecasts translate into clear, actionable insights for decision-making.

Over time, the role expands into deeper strategic exposure, with increasing influence on corporate planning, investment tradeoffs, and executive-level communication.

Responsibilities

• Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
• Partner closely with business teams to understand performance drivers, challenge assumptions, and align on a shared view of what is changing in the business and why.
• Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
• Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
• Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.
• Help create and continuously uplevel corporate materials, ensuring clear, consistent, and decision-oriented communication.
• Collaborate across Data Science, Accounting, Treasury/Tax, and FP&A to ensure data accuracy, consistency, and a cohesive view of performance across the CFO organization.

Requirements

• At least 5+ years of experience in FP&A, corporate finance, or a related field.
• Strong analytical and financial modeling skills, with experience working on complex, multi-driver models.
• Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
• Experience partnering with cross-functional teams to understand business performance and drivers.
• Ability to explain variances, challenge assumptions, and reconcile differences between data, models, and business performance, including forming a clear point of view when they diverge.
• Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
• Strong communication skills, including experience contributing to executive-level materials.
• Comfort working in ambiguity and bringing structure to evolving processes and datasets.
• Proven ability to operate independently on high-visibility workstreams.

Role Description

This is a high-impact corporate finance role with direct exposure to senior leadership and company-wide decision-making. The role sits at the center of Dropbox’s corporate finance function, offering a unique, end-to-end view of the P&L and a cross-company perspective on how the business operates across revenue and expense.

Operating as a generalist, you will contribute to and help operationalize topline forecasting in close partnership with revenue finance leadership, support expense planning and consolidation, and synthesize trends across the company—translating business signals into decision-ready forecasts and insights for senior leadership.

You will partner closely with FP&A partner teams, Data Systems, and Data Science to improve how performance is modeled, interpreted, and communicated, with the goal of providing leadership with earlier visibility into trends, risks, and tradeoffs. This role focuses on connecting and interpreting signals across the full P&L, ensuring forecasts translate into clear, actionable insights for decision-making.

Over time, the role expands into deeper strategic exposure, with increasing influence on corporate planning, investment tradeoffs, and executive-level communication.

Responsibilities

• Drive key aspects of integrated planning and forecasting across revenue and expense, including planning cadence, key assumptions, and executive narrative.
• Partner closely with business teams to understand performance drivers, challenge assumptions, and align on a shared view of what is changing in the business and why.
• Improve forecast quality by identifying gaps between modeled outputs and business reality, particularly in situations with incomplete or conflicting data.
• Surface and frame key tradeoffs, risks, and uncertainties to support decision-making, especially when data is inconclusive or evolving.
• Partner with Investor Relations and LRP teams to ensure alignment between internal forecasts, long-range planning, and external messaging.
• Help create and continuously uplevel corporate materials, ensuring clear, consistent, and decision-oriented communication.
• Collaborate across Data Science, Accounting, Treasury/Tax, and FP&A to ensure data accuracy, consistency, and a cohesive view of performance across the CFO organization.

Requirements

• At least 5+ years of experience in FP&A, corporate finance, or a related field.
• Strong analytical and financial modeling skills, with experience working on complex, multi-driver models.
• Ability to interpret data and translate it into clear, decision-oriented insights for stakeholders.
• Experience partnering with cross-functional teams to understand business performance and drivers.
• Ability to explain variances, challenge assumptions, and reconcile differences between data, models, and business performance, including forming a clear point of view when they diverge.
• Comfort making judgment calls and forming perspectives in the absence of perfect or complete data.
• Strong communication skills, including experience contributing to executive-level materials.
• Comfort working in ambiguity and bringing structure to evolving processes and datasets.
• Proven ability to operate independently on high-visibility workstreams.

Role Description

Dropbox is seeking an experienced Senior Analyst to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.

This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.

Responsibilities

• Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
• Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
• Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
• Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
• Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
• Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization

Requirements

• At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
• Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
• Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
• Advanced Excel and modeling skills; experience with BI and data tools (e.g., Tableau, Databricks, Oracle Financials)
• Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
• Strong communication, storytelling, and cross-functional influence skills

Role Description

Dropbox is seeking an experienced Senior Analyst  to drive forecasting, analysis, and strategic insights across revenue-related metrics. This role sits within Corporate Finance and partners closely with Revenue FP&A and cross-functional stakeholders to deliver a unified, high-quality view of business performance and outlook.

This is a highly dynamic role with significant ownership over complex, high-impact areas. The ideal candidate will drive forecast rigor, improve processes, and influence decision-making across Finance and business leadership.

Responsibilities

• Own forecasting across revenue-related metrics, including billings, revenue, NNPU, ARPU, merchant fees, and contra revenue items, leveraging NNARR and upstream inputs and maintaining methodologies that translate bookings into revenue (cohorting, ramp, retention, and revenue recognition timing)
• Support guidance and executive communication by partnering with Investor Relations and Corporate Finance leadership, developing forecasts and scenarios, and translating analyses into clear narratives for senior stakeholders
• Drive insight and decision support by analyzing key drivers across billings and revenue metrics to identify risks and opportunities and providing a centralized financial perspective for strategic decisions and investment trade-offs
• Partner across Finance and business teams, aligning with Revenue FP&A and collaborating with Accounting, Tax, Treasury, LRP, Corporate FP&A, Finance Systems, and business teams to ensure consistency in assumptions, reporting, and financial narratives
• Improve forecasting processes and systems by driving initiatives that enhance accuracy, scalability, and efficiency and partnering with Analytics, Business Platform, and IT to improve data quality and tooling
• Contribute to Finance excellence by ensuring consistency in forecasting methodologies and elevating analytical rigor and standards across the organization

Requirements

• At least 8+ years of experience in FP&A or Corporate Finance, with a focus on forecasting and revenue-related metrics
• Deep experience with SaaS models and operating metrics, including how NNARR informs billings and revenue
• Strong understanding of revenue mechanics, including revenue waterfall, deferred revenue, merchant fees, contra revenue, and revenue recognition timing
• Advanced Excel and modeling skills; experience with BI and data tools (e.g., Tableau, Databricks, Oracle Financials)
• Proven ability to independently own complex forecasting areas and ambiguous, high-impact projects
• Strong communication, storytelling, and cross-functional influence skills

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits within that ecosystem, with a focus on enabling our customer-facing GTM teams through AI-powered tools and workflows.

As a Product Manager, GTM Systems, you will define and drive how AI is applied across our GTM systems. This includes identifying high-impact use cases, evaluating and integrating first-party and third-party tools, and ensuring solutions work seamlessly within the broader GTM ecosystem.

You will partner closely with engineering, technical architects, design, analytics, operations, and enablement to turn business needs into production-ready solutions that improve how sales, marketing, and customer teams operate day to day.

You will own the product lifecycle from problem definition through execution and adoption, including rapid prototyping to explore and validate ideas. You will set priorities and make tradeoffs that balance speed with long-term system health. 

Success in this role requires strong product judgment, systems thinking, and a practical understanding of applied AI in operational environments.

Responsibilities

Shape and drive the AI roadmap and priorities for GTM systems

• Define how AI is applied across customer-facing GTM workflows
• Identify, compare, and prioritize the highest-impact opportunities across sales, marketing, and customer success
• Balance near-term impact with longer-term platform capabilities such as decisioning and orchestration

Define and operationalize AI-driven workflows

• Shape how systems determine and trigger next best actions across the customer lifecycle
• Define how customer context, priority, and signals inform decisions and automation
• Establish when actions are handled by AI versus human teams, and how those interactions are coordinated

Deliver AI-powered solutions end to end

• Translate GTM needs into scalable product requirements
• Use rapid prototyping to explore ideas and de-risk decisions early
• Lead development from problem definition through launch in partnership with engineering and technical architects
• Ensure solutions are embedded in core systems and usable in day-to-day workflows

Drive adoption and business impact

• Partner with operations and enablement to drive adoption and change how GTM teams operate
• Define success metrics and iterate based on performance and user feedback
• Collaborate with engineering, technical architects, design, analytics, operations, and enablement to align on priorities, tradeoffs, and execution

Requirements

• Demonstrated product management experience, preferably in SaaS or internal platforms
• Strong understanding of CRM and GTM systems such as Salesforce and adjacent tools
• Proven ability to set product direction, prioritize effectively, and drive execution across cross-functional teams
• Strong analytical skills, including defining metrics and making data-informed decisions
• Experience evaluating and integrating third-party tools alongside first-party development
• Familiarity with applying AI to business workflows such as automation, decisioning, or copilots
• Ability to operate with speed and make sound tradeoffs under ambiguity
• Clear communication skills and ability to align engineering, technical architects, analytics, operations, and enablement stakeholders

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.)
• Experience working in hybrid PLG and sales-led environments
• Experience with tools for experimentation, analytics, or workflow automation
• Experience driving simplification or consolidation across a fragmented tool or system landscape
• Experience leveraging AI/LLM-powered tools and workflows to improve product experiences, accelerate experimentation/analysis, and inform product decision-making (e.g., prototyping, AI-assisted analytics/insight generation).

Compensation

Role Description

GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits within that ecosystem, with a focus on enabling our customer-facing GTM teams through AI-powered tools and workflows.

As a Product Manager, GTM Systems, you will define and drive how AI is applied across our GTM systems. This includes identifying high-impact use cases, evaluating and integrating first-party and third-party tools, and ensuring solutions work seamlessly within the broader GTM ecosystem.

You will partner closely with engineering, technical architects, design, analytics, operations, and enablement to turn business needs into production-ready solutions that improve how sales, marketing, and customer teams operate day to day.

You will own the product lifecycle from problem definition through execution and adoption, including rapid prototyping to explore and validate ideas. You will set priorities and make tradeoffs that balance speed with long-term system health. 

Success in this role requires strong product judgment, systems thinking, and a practical understanding of applied AI in operational environments.

Responsibilities

Shape and drive the AI roadmap and priorities for GTM systems

• Define how AI is applied across customer-facing GTM workflows
• Identify, compare, and prioritize the highest-impact opportunities across sales, marketing, and customer success
• Balance near-term impact with longer-term platform capabilities such as decisioning and orchestration

Define and operationalize AI-driven workflows

• Shape how systems determine and trigger next best actions across the customer lifecycle
• Define how customer context, priority, and signals inform decisions and automation
• Establish when actions are handled by AI versus human teams, and how those interactions are coordinated

Deliver AI-powered solutions end to end

• Translate GTM needs into scalable product requirements
• Use rapid prototyping to explore ideas and de-risk decisions early
• Lead development from problem definition through launch in partnership with engineering and technical architects
• Ensure solutions are embedded in core systems and usable in day-to-day workflows

Drive adoption and business impact

• Partner with operations and enablement to drive adoption and change how GTM teams operate
• Define success metrics and iterate based on performance and user feedback
• Collaborate with engineering, technical architects, design, analytics, operations, and enablement to align on priorities, tradeoffs, and execution

Requirements

• Demonstrated product management experience, preferably in SaaS or internal platforms
• Strong understanding of CRM and GTM systems such as Salesforce and adjacent tools
• Proven ability to set product direction, prioritize effectively, and drive execution across cross-functional teams
• Strong analytical skills, including defining metrics and making data-informed decisions
• Experience evaluating and integrating third-party tools alongside first-party development
• Familiarity with applying AI to business workflows such as automation, decisioning, or copilots
• Ability to operate with speed and make sound tradeoffs under ambiguity
• Clear communication skills and ability to align engineering, technical architects, analytics, operations, and enablement stakeholders

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.)
• Experience working in hybrid PLG and sales-led environments
• Experience with tools for experimentation, analytics, or workflow automation
• Experience driving simplification or consolidation across a fragmented tool or system landscape
• Experience leveraging AI/LLM-powered tools and workflows to improve product experiences, accelerate experimentation/analysis, and inform product decision-making (e.g., prototyping, AI-assisted analytics/insight generation)

Role Description

As an Account Executive on the Growth team, you will play a key role in helping Dropbox evolve how we go to market as we expand into newer products like Dash. This role goes beyond traditional account expansion. You’ll be responsible for building and scaling how we sell across new use cases and buying centers within our install base and with net new customers. You’ll work through ambiguity to identify what resonates with customers, what drives real outcomes, and how we can create repeatable success.

You will operate at the intersection of execution and problem-solving, closing business while helping shape our sales motion, messaging, and approach.

This is an opportunity to have a direct impact on how Dropbox grows its next generation of products, with high visibility across GTM leadership.

Responsibilities

• 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
• Clearly articulate business impact and position Dropbox solutions around outcomes, not features
• Drive deal momentum by building urgency, aligning stakeholders, and establishing clear next steps
• Contribute to evolving GTM strategy by refining ICP, messaging, and use cases (e.g., Dash)
• Collaborate cross-functionally and bring insights from the field to influence Product and GTM

Requirements

• 6+ years of B2B SaaS sales experience, ideally including time in early-stage, new product, or evolving GTM environments
• Proven ability to generate pipeline and close deals in ambiguous or evolving markets
• Strong experience with qualification frameworks such as MEDDICC, SPICED, or similar
• Demonstrated use of value selling methodologies such as Command of the Message or equivalent
• Experience selling to mid-market and enterprise customers, including executive stakeholders
• Consistent track record of meeting or exceeding sales targets
• High ownership mentality - you take initiative and move things forward without waiting for direction
• Thrive in ambiguity and are comfortable operating without a fully defined playbook
• Curious and business-oriented, with the ability to connect customer problems to solutions
• Resourceful and adaptable - you figure things out and adjust quickly
• Strong collaborator who contributes positively to team culture
• Experience using Salesforce or similar CRM tools to manage pipeline and forecast
• Strong organizational skills and ability to manage multiple complex deals

Preferred Qualifications

• Experience selling a new or emerging product within an existing portfolio
• Experience working in high-change or transformation environments
• BA/BS degree or equivalent experience
• General familiarity with AI or productivity tools

Compensation

Role Description

As a Compliance Program Manager on the Governance, Risk, & Compliance team, you will play a crucial role in building Compliance across our product set.

Protecting Dropbox and our users is critical to being worthy of trust. As a Compliance Program Manager at Dropbox, you will join a growing team to design, implement, and coordinate programs to promote user trust and manage risks to their data. You will work with teams across the organization, including Engineering, Product, Design, and Sales, in order to manage risks to Dropbox and users alike. You will work in depth with other parts of the business to ensure Dropbox meets our security, privacy, and regulatory commitments.

If you are passionate about protecting Dropbox and our users, are looking for an opportunity to stretch and grow yourself in a dynamic team, and thrive in an environment where you can constantly learn, then this role is for you.

Responsibilities

• Promote and foster a culture of trust within and outside of Dropbox.
• Partner with teams to execute on cross-team and/or multi-phase projects from design through implementation against a wide variety of regulatory and compliance frameworks, especially AI-specific standards/frameworks
• Identify the right solutions to clarify and solve ambiguous, open-ended problems across various compliance programs. 
• Mature our overall compliance program. Improve and implement controls for internal systems, processes, and policies through bold and innovative approaches and leveraging automation and AI-enabled processes 
• Facilitate ongoing AI Governance, Risk and Compliance initiatives and monitor control effectiveness.
• Collaborate with internal teams and external auditors throughout compliance assessments.
• Play an active part in responding and mitigating compliance challenges across multiple time zones and jurisdictions.
• Drive automation efforts across the Compliance function via the AI-enabled GRC automation tools
• Identify opportunities impacting the Compliance function and establish the strategy and cross-functional alignment to achieve these objectives.  
• Conduct gap assessments to identify areas of non-compliance or areas for improvement, and develop action plans to address these gaps.
• Provide guidance to management on the impact of new laws and regulations and recommend changes in business practices where necessary

Requirements

• 4+ years of experience building or maintaining programs to mitigate risks around security, confidentiality, integrity, availability, and privacy
• Independently executes and manages projects with high-level direction from a manager
• Consistently utilize AI tools to enhance workflows, evaluate outputs with critical judgment, and help others adopt tools where appropriate.
• Experience facilitating or being the subject of SOC, ISO, HIPAA and/or PCI audits at a fast-paced technology company, public accounting firm, or similar environment
• Experience partnering with Engineering, Product, & Development teams to define compliance needs in a multi-product environment
• Moderate familiarity with a broad range of technical concepts relevant to cloud computing environments: logical access control, agile development process, secure coding principles, security architecture, information security, network security, and privacy
• Experience with implementing compliance programs for emerging new products, including AI enabled products
• Moderate understanding of cloud-based technologies and their implications for governance, risk, and compliance, with a focus on AI compliance needs
• Strong project management and organizational skills - must drive your own projects to completion with high-level direction from a manager, while also fostering collaboration and bringing teams together to achieve common objectives.
• Great people skills and ability to work well in fast paced team environment with a wide range of technical and non-technical teams
• Excellent writing, communication, and organizational skills - strong attention to detail
• Passion to aim higher and develop new skills
• CISA, CISSP, CCSK, CIPP, or other professional certifications/associations required 

Preferred Qualifications

• Experience in scaling compliance programs in high-growth technology company

Compensation

Role Description

As a Compliance Program Manager on the Governance, Risk, & Compliance team, you will play a crucial role in building Compliance across our product set.

Protecting Dropbox and our users is critical to being worthy of trust. As a Compliance Program Manager at Dropbox, you will join a growing team to design, implement, and coordinate programs to promote user trust and manage risks to their data. You will work with teams across the organization, including Engineering, Product, Design, and Sales, in order to manage risks to Dropbox and users alike. You will work in depth with other parts of the business to ensure Dropbox meets our security, privacy, and regulatory commitments.

If you are passionate about protecting Dropbox and our users, are looking for an opportunity to stretch and grow yourself in a dynamic team, and thrive in an environment where you can constantly learn, then this role is for you.

Responsibilities

• Promote and foster a culture of trust within and outside of Dropbox.
• Partner with teams to execute on cross-team and/or multi-phase projects from design through implementation against a wide variety of regulatory and compliance frameworks, especially AI-specific standards/frameworks
• Identify the right solutions to clarify and solve ambiguous, open-ended problems across various compliance programs. 
• Mature our overall compliance program. Improve and implement controls for internal systems, processes, and policies through bold and innovative approaches and leveraging automation and AI-enabled processes 
• Facilitate ongoing AI Governance, Risk and Compliance initiatives and monitor control effectiveness.
• Collaborate with internal teams and external auditors throughout compliance assessments.
• Play an active part in responding and mitigating compliance challenges across multiple time zones and jurisdictions.
• Drive automation efforts across the Compliance function via the AI-enabled GRC automation tools
• Identify opportunities impacting the Compliance function and establish the strategy and cross-functional alignment to achieve these objectives.  
• Conduct gap assessments to identify areas of non-compliance or areas for improvement, and develop action plans to address these gaps.
• Provide guidance to management on the impact of new laws and regulations and recommend changes in business practices where necessary

Requirements

• 4+ years of experience building or maintaining programs to mitigate risks around security, confidentiality, integrity, availability, and privacy
• Independently executes and manages projects with high-level direction from a manager
• Consistently utilize AI tools to enhance workflows, evaluate outputs with critical judgment, and help others adopt tools where appropriate.
• Experience facilitating or being the subject of SOC, ISO, HIPAA and/or PCI audits at a fast-paced technology company, public accounting firm, or similar environment
• Experience partnering with Engineering, Product, & Development teams to define compliance needs in a multi-product environment
• Moderate familiarity with a broad range of technical concepts relevant to cloud computing environments: logical access control, agile development process, secure coding principles, security architecture, information security, network security, and privacy
• Experience with implementing compliance programs for emerging new products, including AI enabled products
• Moderate understanding of cloud-based technologies and their implications for governance, risk, and compliance, with a focus on AI compliance needs
• Strong project management and organizational skills - must drive your own projects to completion with high-level direction from a manager, while also fostering collaboration and bringing teams together to achieve common objectives.
• Great people skills and ability to work well in fast paced team environment with a wide range of technical and non-technical teams
• Excellent writing, communication, and organizational skills - strong attention to detail
• Passion to aim higher and develop new skills
• CISA, CISSP, CCSK, CIPP, or other professional certifications/associations required 

Preferred Qualifications

• Experience in scaling compliance programs in high-growth technology company

Compensation

Role Description

​​GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits at the center of that ecosystem.​

​​As a Technical Architect, you will define how our GTM platforms work together in practice. That means translating business strategy and process into scalable system design across Salesforce, marketing automation, customer success, support platforms, and our broader data and AI stack.​

​​This is not a pure “draw the diagram” architecture role. You will work directly with engineering, product, operations, and data teams to ensure what we design is actually buildable, adopted, and durable. You’ll help us move faster with fewer handoffs, while keeping a high bar for data quality, system integrity, and long-term maintainability.

Responsibilities

• Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
• Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
• Ensure clean handoffs, consistent data models, and scalable automation across domains.
• Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
• Partner with data teams to align system design with the GTM data model and downstream analytics needs.
• Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
• Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
• Design reliable, scalable integrations across internal and third-party systems.
• Define how systems share data, stay in sync, and interact without conflicts.
• Set and enforce standards for system design, data quality, and technical implementation.
• Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
• Evaluate tools and capabilities in the context of the broader ecosystem.
• Drive consolidation and simplicity where possible.
• Partner closely with engineering leads to ensure architecture translates cleanly into execution.
• Mentor engineers and program managers on system design and tradeoffs.

Requirements

• 8+ years of demonstrated success designing and delivering complex, multi-system. architectures within SaaS or comparable environments.
• Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems.
• Strong understanding of data modeling, integrations, and system design patterns.
• Experience working across Sales, Marketing, Customer Success, or Support workflows.
• Proven ability to balance speed vs. long-term scalability without over-engineering.
• Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.).
• Background working in a hybrid PLG + sales-led motion.
• Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures).
• Exposure to CPQ, billing, or commercial systems.
• Experience navigating platform consolidation or large-scale tech stack simplification.
• Prior involvement in architecture governance or cross-org design councils.

Compensation

Role Description

​​GTM TechOps owns the systems, data, and automation that power the full customer lifecycle, from first touch through renewal and expansion. This role sits at the center of that ecosystem.​

​​As a Technical Architect, you will define how our GTM platforms work together in practice. That means translating business strategy and process into scalable system design across Salesforce, marketing automation, customer success, support platforms, and our broader data and AI stack.​

​​This is not a pure “draw the diagram” architecture role. You will work directly with engineering, product, operations, and data teams to ensure what we design is actually buildable, adopted, and durable. You’ll help us move faster with fewer handoffs, while keeping a high bar for data quality, system integrity, and long-term maintainability.

Responsibilities

• Define how systems connect across the full lifecycle (lead → opportunity → close → onboarding → adoption → renewal → expansion).
• Structure solutions around core business capabilities to reduce fragmentation and improve reuse.
• Ensure clean handoffs, consistent data models, and scalable automation across domains.
• Lead architecture for Salesforce, marketing automation, customer success platforms, and support tooling.
• Partner with data teams to align system design with the GTM data model and downstream analytics needs.
• Define how AI is embedded into GTM workflows (agent assist, seller workflows, automation, enrichment).
• Ensure solutions are practical, governed, and integrated into core systems rather than one-off tools.
• Design reliable, scalable integrations across internal and third-party systems.
• Define how systems share data, stay in sync, and interact without conflicts.
• Set and enforce standards for system design, data quality, and technical implementation.
• Participate in cross-functional architecture reviews with Enterprise Engineering and domain architects.
• Evaluate tools and capabilities in the context of the broader ecosystem.
• Drive consolidation and simplicity where possible.
• Partner closely with engineering leads to ensure architecture translates cleanly into execution.
• Mentor engineers and program managers on system design and tradeoffs.

Requirements

• 8+ years of demonstrated success designing and delivering complex, multi-system. architectures within SaaS or comparable environments.
• Deep experience with CRM platforms (Salesforce strongly preferred) and adjacent GTM systems.
• Strong understanding of data modeling, integrations, and system design patterns.
• Experience working across Sales, Marketing, Customer Success, or Support workflows.
• Proven ability to balance speed vs. long-term scalability without over-engineering.
• Comfortable operating in a cross-functional environment with engineering, operations, and business stakeholders.

Preferred Qualifications

• Experience with AI/automation in GTM workflows (agent assist, enrichment, copilots, etc.).
• Background working in a hybrid PLG + sales-led motion.
• Familiarity with modern data stacks (Databricks, reverse ETL, event-driven architectures).
• Exposure to CPQ, billing, or commercial systems.
• Experience navigating platform consolidation or large-scale tech stack simplification.
• Prior involvement in architecture governance or cross-org design councils.

Compensation

Role Description

As a Customer Systems Administrator on the Customer Systems team within Dropbox's Go-To-Market organization, you will play a crucial role in platform administration, access governance, and operational reliability across the systems that power Dropbox's customer-facing operations. Day to day, you'll be configuring and maintaining platforms across the customer lifecycle, enforcing security and access control policies, and driving AI-powered tooling and automations. You'll gain direct ownership of production systems that the business relies on daily, deep cross-functional exposure to Engineering and Customer Experience and Success, access to industry-leading AI tooling, and the opportunity to shape how customer tooling scales at Dropbox.

Responsibilities

• Manage and evolve the team's portfolio of support and post-sales platforms to meet the changing needs of the Customer Experience and Customer Success organizations.
• Serve as a primary on-call responder, owning incident resolution and stakeholder communication during platform disruptions.
• Drive the adoption and integration of AI-powered tools and automations across customer platforms to improve user efficiency and customer outcomes.
• Partner with Engineering and Customer Experience and Success  to translate business needs into platform solutions.
• Identify and execute platform improvements that reduce operational friction, increase reliability, and scale with the business.
• Build and maintain the team's automation tooling and scripting infrastructure.
• Establish and maintain the documentation standards that keep the team operationally resilient, including SOPs, runbooks, and system guide.

Requirements

• 4+ years of proven experience administering enterprise support or customer platforms in a production environment.
• Proficiency with AI tools and scripting languages (e.g., Python, Bash, JavaScript), with a demonstrated comfort incorporating both into daily workflows to increase efficiency and output.
• Demonstrated experience managing multi-platform environments.
• Experience governing platform access — provisioning, role-based access control, and security policy enforcement.
• Track record of shipping platform changes through structured processes: scoping, testing, communicating, and deploying without disruption.
• Operational maturity with demonstrated experienced owning incident response, triaging escalations, and maintaining composure under pressure.
• Ability to produce and maintain clear, structured documentation — SOPs, runbooks, and system guides that are accessible to both technical and non-technical. audiences

Preferred Qualifications

• Experience administering support platforms such as Zendesk, Amazon Connect, or similar contact center and ticketing systems.
• Proven experience deploying AI tooling or automation frameworks to improve team workflows and operational efficiency.
• Working knowledge of AWS services, cloud infrastructure fundamentals, and familiarity with modern data platforms such as Databricks.
• Experience with sales platforms, supporting Sales & Customer Success operations such as Highspot, Planhat, Outreach.
• Platform admin certifications (e.g., Zendesk Admin, Salesforce Certified Admin).

Compensation

Role Description

As a Customer Systems Administrator on the Customer Systems team within Dropbox's Go-To-Market organization, you will play a crucial role in platform administration, access governance, and operational reliability across the systems that power Dropbox's customer-facing operations. Day to day, you'll be configuring and maintaining platforms across the customer lifecycle, enforcing security and access control policies, and driving AI-powered tooling and automations. You'll gain direct ownership of production systems that the business relies on daily, deep cross-functional exposure to Engineering and Customer Experience and Success, access to industry-leading AI tooling, and the opportunity to shape how customer tooling scales at Dropbox.

Responsibilities

• Manage and evolve the team's portfolio of support and post-sales platforms to meet the changing needs of the Customer Experience and Customer Success organizations.
• Serve as a primary on-call responder, owning incident resolution and stakeholder communication during platform disruptions.
• Drive the adoption and integration of AI-powered tools and automations across customer platforms to improve user efficiency and customer outcomes.
• Partner with Engineering and Customer Experience and Success  to translate business needs into platform solutions.
• Identify and execute platform improvements that reduce operational friction, increase reliability, and scale with the business.
• Build and maintain the team's automation tooling and scripting infrastructure.
• Establish and maintain the documentation standards that keep the team operationally resilient, including SOPs, runbooks, and system guide.

Requirements

• 4+ years of proven experience administering enterprise support or customer platforms in a production environment.
• Proficiency with AI tools and scripting languages (e.g., Python, Bash, JavaScript), with a demonstrated comfort incorporating both into daily workflows to increase efficiency and output.
• Demonstrated experience managing multi-platform environments.
• Experience governing platform access — provisioning, role-based access control, and security policy enforcement.
• Track record of shipping platform changes through structured processes: scoping, testing, communicating, and deploying without disruption.
• Operational maturity with demonstrated experienced owning incident response, triaging escalations, and maintaining composure under pressure.
• Ability to produce and maintain clear, structured documentation — SOPs, runbooks, and system guides that are accessible to both technical and non-technical. audiences

Preferred Qualifications

• Experience administering support platforms such as Zendesk, Amazon Connect, or similar contact center and ticketing systems.
• Proven experience deploying AI tooling or automation frameworks to improve team workflows and operational efficiency.
• Working knowledge of AWS services, cloud infrastructure fundamentals, and familiarity with modern data platforms such as Databricks.
• Experience with sales platforms, supporting Sales & Customer Success operations such as Highspot, Planhat, Outreach.
• Platform admin certifications (e.g., Zendesk Admin, Salesforce Certified Admin).

Compensation

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

Responsibilities

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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.

Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Role Description

Responsibilities

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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.

Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Compensation

Role Description

Responsibilities

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.
• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.
• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.
• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.
• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.
• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.
• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

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.

Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.
• 12+ years of professional software development experience.
• Proven expertise in building and maintaining large-scale, distributed backend systems.
• Strong system design skills, particularly in complex, stateful, or workflow-driven systems
• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability
• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems
• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)
• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures
• Experience working on revenue-critical or monetization platforms at scale
• Experience improving data consistency and integrity across distributed systems
• Demonstrated ability to influence technical direction across teams without direct authority

Compensation

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

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.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

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.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Role Description

We’re looking for an Associate Commercial Counsel to be a key member of Dropbox’s global commercial legal team focusing on general commercial deal work, including both sales and procurement related deals, processes, and procedures. Reporting to the Senior Commercial Counsel - North America Lead, this role offers an exciting opportunity to have company-wide impact primarily supporting Dropbox’s global sales and procurement strategies and other cross functional teams. 

This role is for an attorney in the commercial legal space with a client-first mindset and experience working closely with sales and procurement teams in a world class commercial legal function in support of Dropbox’s business goals. You’ll be part of a team of attorneys and professionals responsible for drafting, reviewing, and negotiating a high volume of complex commercial contracts with Dropbox vendors, customers, and other business partners around the world. You'll get an opportunity to gain experience handling a wide variety commercial transactions and partnering with our business teams to deliver efficient, scalable approaches to commercial matters.

The ideal candidate is a commercial attorney who has experience partnering with in-house business teams and is passionate about supporting the business and who thrives in solving legal, technology and business issues. The ideal candidate must be empathetic and a team player who is effective in collaborating with others, while being a proactive partner to internal business teams (and will hopefully get to enjoy a little fun and a few laughs along the way!).

Responsibilities

• Engage personally in complex sales and procurement deals and work collaboratively with various company teams to implement company initiatives. Our team works on every kind of contract that Dropbox signs: sales, vendor procurement, marketing, M&A, real estate, infrastructure, etc. A lot of opportunity to learn different types of agreements and negotiation settings. 
• Work with cross-functional business teams to implement innovative strategies to increase the efficiency and effectiveness of delivering commercial legal support to Dropbox’s business.
• Be an active and trusted leader, problem solver, and innovator to key stakeholders across the company.
• Develop and refine team playbooks, fallback guides, cross-functional resource documents, and training materials

Requirements

• Minimum of 2+ years as a practicing commercial attorney, including substantive experience in drafting and negotiating complex commercial agreements, including SaaS, licensing, technology, equipment, and marketing agreements
• Has experience managing and interacting directly with clients and opposing counsel, has robust experience drafting and negotiating contracts themselves 
• Ability to translate complex legal issues into clear and simple guidance, and to partner effectively across all levels of the company
• Passion for client service and efficiency
• High integrity, strong ethics, and an unflappable demeanor
• Self-starter, eagerness to learn both substantive law, negotiation skills and team policies and procedures
• J.D. with strong academic credentials and demonstrated record of success as a lawyer
• Member in good standing of bar and (if applicable) in-house counsel registration
• Desire or experience to work in a virtual first environment, demonstrated initiative qualities 

Role Description

We’re looking for an Associate Commercial Counsel to be a key member of Dropbox’s global commercial legal team focusing on general commercial deal work, including both sales and procurement related deals, processes, and procedures. Reporting to the Senior Commercial Counsel - North America Lead, this role offers an exciting opportunity to have company-wide impact primarily supporting Dropbox’s global sales and procurement strategies and other cross functional teams. 

This role is for an attorney in the commercial legal space with a client-first mindset and experience working closely with sales and procurement teams in a world class commercial legal function in support of Dropbox’s business goals. You’ll be part of a team of attorneys and professionals responsible for drafting, reviewing, and negotiating a high volume of complex commercial contracts with Dropbox vendors, customers, and other business partners around the world. You'll get an opportunity to gain experience handling a wide variety commercial transactions and partnering with our business teams to deliver efficient, scalable approaches to commercial matters.

The ideal candidate is a commercial attorney who has experience partnering with in-house business teams and is passionate about supporting the business and who thrives in solving legal, technology and business issues. The ideal candidate must be empathetic and a team player who is effective in collaborating with others, while being a proactive partner to internal business teams (and will hopefully get to enjoy a little fun and a few laughs along the way!).

Responsibilities

• Engage personally in complex sales and procurement deals and work collaboratively with various company teams to implement company initiatives. Our team works on every kind of contract that Dropbox signs: sales, vendor procurement, marketing, M&A, real estate, infrastructure, etc. A lot of opportunity to learn different types of agreements and negotiation settings. 
• Work with cross-functional business teams to implement innovative strategies to increase the efficiency and effectiveness of delivering commercial legal support to Dropbox’s business.
• Be an active and trusted leader, problem solver, and innovator to key stakeholders across the company.
• Develop and refine team playbooks, fallback guides, cross-functional resource documents, and training materials

Requirements

• Minimum of 2+ years as a practicing commercial attorney, including substantive experience in drafting and negotiating complex commercial agreements, including SaaS, licensing, technology, equipment, and marketing agreements
• Has experience managing and interacting directly with clients and opposing counsel, has robust experience drafting and negotiating contracts themselves 
• Ability to translate complex legal issues into clear and simple guidance, and to partner effectively across all levels of the company
• Passion for client service and efficiency
• High integrity, strong ethics, and an unflappable demeanor
• Self-starter, eagerness to learn both substantive law, negotiation skills and team policies and procedures
• J.D. with strong academic credentials and demonstrated record of success as a lawyer
• Member in good standing of bar and (if applicable) in-house counsel registration
• Desire or experience to work in a virtual first environment, demonstrated initiative qualities 

Role Description

Responsibilities

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

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.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine highly reliable AI agents operating at massive scale. Your work will power Dropbox Dash’s universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on the work that truly matters

Responsibilities

• Design and productionize agentic AI frameworks — including multi-agent coordination, planning, tool-use, and memory — that allow agents to maintain long-term context and execute complex tasks across the Dropbox ecosystem.
• Lead the end-to-end design of ML systems, from fine-tuning (SFT, RLAIF) and advanced prompting to inference optimization and production monitoring.
• Establish rigorous safety, alignment, and evaluation frameworks to ensure our autonomous systems are helpful, honest, and harmless.
• Collaborate across Product, Design, Infra, and Frontend teams to translate ambiguous user needs into concrete AI capabilities that move the needle for the business.
• Mentor junior engineers and serve as a core contributor to the broader Dropbox AI strategy, fostering a culture of technical excellence.

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.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

The Dropbox Business Development team develops and manages 3rd-party relationships on behalf of the company to deliver high-impact partnerships that generate material revenue and enable our product strategy. We work with a variety of partners, including hardware and software providers, strategic partners, and distribution partners.

Dropbox is seeking an ambitious Product and Platform Partnerships Manager who is passionate about technology and business strategy to own and lead a portfolio of our most strategic partnerships. In addition to relationship management and negotiation experience, this position requires critical thinking, creativity, project management, and execution skills, as you'll be called upon to conceive and drive major partner initiatives while working cross-functionally with our Product, Sales, Marketing, Legal, and Finance teams.  This individual will play a crucial role in the success of our product strategy and revenue targets by:

1) Building and managing thriving product partner ecosystems around new platforms and products 

2) Identifying ways to find product market fit and increase reach through these product partnerships 

3) Working closely with our product team to define the future of Dropbox via AI/ML partnerships

Responsibilities

• Play an integral role in driving the product and platform partnerships strategy by identifying new opportunities for partnerships across Dropbox’s current and future product lines.
• Focus on AI/ML partnerships, both inbound (bolstering Dropbox’s products with AI) and outbound (integrating Dropbox in to other AI driven platforms)
• Work cross-functionally with Product and Engineering leaders to define priorities and roadmaps and execute on the strategy for partner-led or partner-involved initiatives. Work will include product alignment, business case, negotiations, integration development, GTM plans, and account management.
• Build joint business plans with our partners for initiatives, including end-to-end GTM plans as well as a robust set of KPIs, success metrics, joint accountability and governance. 
• Manage technical and business negotiations, and partner with our legal team to develop and negotiate custom partnership agreements and repeatable templates to scale to broader ecosystem partnerships.
• Work cross-functionally and collaborate with all levels of management internally and externally to build and maintain mutually beneficial partnerships.

Requirements

• 8+ years of experience in business development or partnership management. 
• Experience with AI/ML partnerships 
• Experience with SaaS.
• A hardworking “0 to 1 deal-maker” who has brought a number of impactful product partnerships to life from conception to execution.
• Exceptional presentation, communication, and interpersonal skills.
• Adept at understanding and contributing to conversations with colleagues in technical functions around product specifications.
• Motivated, self-directed, and confident individual contributor who can thrive in a dynamic environment. You maintain composure in high pressure and ambiguous situations.
• Ability to develop, review and negotiate complex contracts and familiarity with standard deal structures.
• Strong organization, prioritization, and project management skills.
• Structured and analytical thinker with the ability to distill complex issues into structured frameworks and concrete plans.
• Undergraduate degree

Preferred Qualifications

• MBA and/or management consulting background

Compensation

Role Description

The Dropbox Business Development team develops and manages 3rd-party relationships on behalf of the company to deliver high-impact partnerships that generate material revenue and enable our product strategy. We work with a variety of partners, including hardware and software providers, strategic partners, and distribution partners.

Dropbox is seeking an ambitious Product and Platform Partnerships Manager who is passionate about technology and business strategy to own and lead a portfolio of our most strategic partnerships. In addition to relationship management and negotiation experience, this position requires critical thinking, creativity, project management, and execution skills, as you'll be called upon to conceive and drive major partner initiatives while working cross-functionally with our Product, Sales, Marketing, Legal, and Finance teams.  This individual will play a crucial role in the success of our product strategy and revenue targets by:

1) Building and managing thriving product partner ecosystems around new platforms and products 

2) Identifying ways to find product market fit and increase reach through these product partnerships 

3) Working closely with our product team to define the future of Dropbox via AI/ML partnerships

Responsibilities

• Play an integral role in driving the product and platform partnerships strategy by identifying new opportunities for partnerships across Dropbox’s current and future product lines.
• Focus on AI/ML partnerships, both inbound (bolstering Dropbox’s products with AI) and outbound (integrating Dropbox in to other AI driven platforms)
• Work cross-functionally with Product and Engineering leaders to define priorities and roadmaps and execute on the strategy for partner-led or partner-involved initiatives. Work will include product alignment, business case, negotiations, integration development, GTM plans, and account management.
• Build joint business plans with our partners for initiatives, including end-to-end GTM plans as well as a robust set of KPIs, success metrics, joint accountability and governance. 
• Manage technical and business negotiations, and partner with our legal team to develop and negotiate custom partnership agreements and repeatable templates to scale to broader ecosystem partnerships.
• Work cross-functionally and collaborate with all levels of management internally and externally to build and maintain mutually beneficial partnerships.

Requirements

• 8+ years of experience in business development or partnership management. 
• Experience with AI/ML partnerships 
• Experience with SaaS.
• A hardworking “0 to 1 deal-maker” who has brought a number of impactful product partnerships to life from conception to execution.
• Exceptional presentation, communication, and interpersonal skills.
• Adept at understanding and contributing to conversations with colleagues in technical functions around product specifications.
• Motivated, self-directed, and confident individual contributor who can thrive in a dynamic environment. You maintain composure in high pressure and ambiguous situations.
• Ability to develop, review and negotiate complex contracts and familiarity with standard deal structures.
• Strong organization, prioritization, and project management skills.
• Structured and analytical thinker with the ability to distill complex issues into structured frameworks and concrete plans.
• Undergraduate degree

Preferred Qualifications

• MBA and/or management consulting background

Compensation

Role Description

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.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• 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.

Requirements

• 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

Preferred Qualifications

• 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

Compensation