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US: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"IT","description":"<p>Dropbox is building the knowledge layer that connects content, context, and action. As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails.</p>\n<p>This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to act on. You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows.</li>\n<li>Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains.</li>\n<li>Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceable and safe as AI capabilities evolve.</li>\n<li>Lead platform and connector strategy across the content stack. Drive decisions on what is refactored, migrated, indexed in place, or consolidated, and partner with IT and Engineering on connector architecture and how AI systems are granted access to tools and sources.</li>\n<li>Build the federated operating model for enterprise content: stewardship across functions, domains accountable for their own accuracy within shared standards, and lifecycle policies covering review cadence, expiration, material-change triggers, and retirement, tied to business criticality.</li>\n<li>Define content quality in an AI context. Stand up retrieval and grounding evaluations for priority use cases, extend measurement to workflow traces and policy conformance as systems begin to act, and route findings back into the content lifecycle.</li>\n<li>Co-own the criteria for AI content eligibility, sensitivity classification, and permissions modeling with Legal, Privacy, and Security, including access boundaries for the tools AI systems can reach.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>7+ years designing how information is structured, owned, and maintained at enterprise scale, including at least 2 years applying that work to AI retrieval and grounding.</li>\n<li>Direct experience preparing content for AI consumption, with working fluency in retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.</li>\n<li>Hands-on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption.</li>\n<li>Track record building federated operating models across functions outside direct reporting lines, with evidence of metadata standards or authoring frameworks adopted at scale.</li>\n<li>Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.</li>\n<li>Sound judgment on balancing central standards with domain expertise.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Hands-on experience with enterprise platforms such as ServiceNow, Atlassian, Microsoft 365 or Copilot Search, Slack, or Notion.</li>\n<li>Familiarity with structured authoring (such as DITA), controlled vocabularies, or knowledge operations methodologies such as KCS.</li>\n<li>Experience with AI evaluation tooling and frameworks for measuring retrieval quality, groundedness, and answer relevance.</li>\n<li>Background working in regulated, policy-heavy, or high-risk content domains.</li>\n<li>Working knowledge of NIST AI RMF, OWASP GenAI guidance, or comparable risk frameworks.</li>\n</ul>\n<h3>Durable Skills</h3>\n<p>AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<h3>Compensation</h3>\n<p>US Zone 1 This role is not available in Zone 1 US Zone 2 $159,100-$215,300 USD US Zone 3 $141,400-$191,400 USD</p>","enriched_at":1785773686012},{"id":"job_0f72506a-20c","title":"Senior Product Marketing Operations Manager","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8070685","location":"Remote - US: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Marketing","description":"<p>Dropbox is seeking a Senior Product Marketing Operations Manager to build and run the operating systems that help Product Marketing work with greater clarity, consistency, and impact.</p>\n<p>The successful candidate will have broad visibility across Dropbox&#39;s product and go-to-market priorities and the opportunity to shape how a growing PMM organization operates at a strategic level.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build, operate, and continuously improve the Product Marketing operating model across team planning, portfolio and roadmap visibility, foundational content systems, launch governance, and cross-functional accountability.</li>\n<li>Establish the lifecycle for messaging, positioning, and related PMM foundations, including templates, inventories, accountable owners, review and sign-off, refresh cadences, quality standards, and a discoverable source of truth.</li>\n<li>Create and maintain a consolidated product roadmap that connects product direction to customer-facing roadmap inputs, release and launch planning, campaign and communications needs, sales and channel enablement, and other downstream go-to-market dependencies.</li>\n<li>Own the PMM-side launch strategy and governance system, including intake, launch classification and tiering recommendations, required strategic inputs, PMM readiness criteria, decision forums, escalation paths, handoff to marketing partners, and post-launch learning.</li>\n<li>Partner with PMM, Solutions Marketing, Integrated Marketing, Product, Communications, Sales, Customer Success, Enablement, and program-management teams to codify roles, decision rights, required inputs, and handoffs, then steward adoption and surface gaps or exceptions for leadership resolution.</li>\n<li>Build scalable templates, reporting, knowledge systems, and responsible AI- or automation-enabled workflows; establish measures of adoption and effectiveness; and simplify or retire processes that do not create sufficient value.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>10+ years of experience in product marketing, product marketing operations, marketing operations, product operations, go-to-market operations, or a closely related discipline.</li>\n<li>Demonstrated experience designing and leading launch or commercialization operating models across multiple products, teams, or audiences.</li>\n<li>Working knowledge of Product Marketing fundamentals, including positioning, messaging, audiences, go-to-market planning, launch strategy, and the lifecycle of customer- and seller-facing assets.</li>\n<li>Track record of influencing senior stakeholders without direct authority, clarifying decision rights, resolving competing priorities, and sustaining behavior or process change across functions.</li>\n<li>Experience building a new operating capability or materially redesigning an existing one.</li>\n<li>Excellent written and verbal communication skills.</li>\n<li>Experience using data, retrospectives, and responsible AI or automation practices to improve recurring workflows.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience building or materially redesigning a Product Marketing, Marketing, Product, or GTM operating capability from an early stage or following an organizational integration.</li>\n<li>Experience in a multi-product, multi-audience, product-led and/or sales-assisted SaaS business.</li>\n<li>Experience establishing messaging and positioning governance, content lifecycle management, knowledge-management systems, or reusable product and solution playbooks.</li>\n<li>Experience supporting complex launches, migrations, deprecations, packaging or pricing changes, APIs, or other customer-impacting product transitions.</li>\n</ul>\n<p>Durable Skills:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<p>Compensation:</p>\n<ul>\n<li>US Zone 2: $185,100-$250,500 USD</li>\n<li>US Zone 3: $164,600-$222,600 USD</li>\n</ul>","enriched_at":1785424625417},{"id":"job_2f695e2c-72b","title":"Senior Manager, Data Engineering","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8090062","location":"Remote - US: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are seeking a Senior Manager, Data Engineering to lead the team responsible for the reliability, quality, cost, and velocity of Dropbox&#39;s core data platform.</p>\n<p>In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work.</p>\n<p>The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Data Quality &amp; Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics.</li>\n<li>Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy.</li>\n<li>Cost &amp; Efficiency: Own the unit economics of the data platform , compute and storage efficiency , and drive measurable improvements without sacrificing reliability.</li>\n<li>Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast.</li>\n<li>Engineering Culture: Establish rigorous engineering practices , code review, testing, CI/CD for data, incident response, and postmortems , and champion the effective, measured use of AI coding tools to improve engineering productivity.</li>\n<li>Team Leadership: Lead, mentor, and grow a high-talent-density team of data engineers, fostering a culture of ownership, technical excellence, psychological safety, and continuous learning.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>8+ years of data engineering or backend/data infrastructure experience with increasing scope, ideally in high-scale environments.</li>\n<li>3+ years of experience directly managing and growing engineering teams, including hiring, coaching, performance management, and team design.</li>\n<li>Deep Technical Expertise: Proven track record building and operating large-scale batch and streaming pipelines (e.g., Spark, dbt, Airflow/orchestration) on a modern lakehouse or warehouse stack (e.g., Databricks, Snowflake, BigQuery).</li>\n<li>Reliability &amp; Quality: Demonstrated ownership of data SLAs, observability, lineage, and incident response for business-critical pipelines.</li>\n<li>Systems &amp; Modeling: Strong data modeling fundamentals and the ability to design a semantic layer and data contracts that serve many downstream consumers.</li>\n<li>Stakeholder Management: Excellent communication and the ability to align engineering, data science, analytics, and business partners around shared reliability and quality goals.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Platform / Self-Serve Experience: Track record building self-serve data or analytics platforms that reduced bespoke request volume and increased partner autonomy.</li>\n<li>AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the engineering workflow, with a measured approach to impact and guardrails.</li>\n<li>Cost Discipline: Demonstrated success improving compute/storage unit economics without regressing reliability.</li>\n<li>Familiarity with modern data governance, privacy, and access-control practices.</li>\n<li>Experience operating in a pod or embedded model serving multiple business partners.</li>\n</ul>\n<h3>Compensation</h3>\n<p>US Zone 1 This role is not available in Zone 1 US Zone 2 $202,700-$274,300 USD US Zone 3 $180,200-$243,800 USD</p>","enriched_at":1785424580442},{"id":"job_372ac26e-894","title":"Senior Director, Revenue Operations","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8067362","location":"Remote - US: All locations","job_type":"full-time","experience_level":"executive","work_arrangement":"remote","category":"Operations","description":"<p>Dropbox is seeking a Senior Director, Revenue Operations to lead and scale the operational foundation of the company&#39;s global B2B go-to-market organization.</p>\n<p>This role will be responsible for driving operational excellence across the revenue engine, enabling predictable, efficient growth across SMB, Mid-Market, and Enterprise segments.</p>\n<p>The Senior Director, Revenue Operations will own revenue planning, forecasting, revenue operations, incentives, systems, analytics, and GTM infrastructure.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own and continuously improve Dropbox&#39;s end-to-end revenue operating model, including segmentation, account coverage, territory design, role clarity, and cross-functional handoffs across Sales, Marketing, Customer Success, and Support</li>\n<li>Lead annual and quarterly revenue planning processes, including bookings targets, quota setting, capacity planning, territory design, and ramp assumptions</li>\n<li>Establish forecasting rigor, pipeline management processes, inspection cadences, and performance management standards that improve visibility and predictability across the business</li>\n<li>Define, track, and operationalize core revenue and GTM KPIs (e.g., pipeline coverage, win rates, ACV, sales cycle, productivity, CAC, velocity, retention, and expansion), identifying performance gaps and driving operational improvements</li>\n<li>Lead revenue operations across the customer lifecycle, from lead routing and opportunity management through renewal and expansion, ensuring scalable processes, governance, and execution excellence</li>\n<li>Partner with Data Science on analytical support and insights, experimentation and cadence for biz performance updates</li>\n<li>Partner with Finance on revenue planning, pricing operations, discounting frameworks, deal governance, sales compensation, and incentive design to support growth and operational discipline</li>\n<li>Partner with Customer Success and Support leadership to improve retention, renewal, and expansion outcomes through operational insights, reporting, and process optimization</li>\n<li>Enable GTM readiness and operational execution for new product launches, packaging changes, pricing updates, and growth initiatives</li>\n<li>Deliver executive-level reporting, business reviews, and performance insights that support decision-making across revenue leadership</li>\n<li>Build, lead, and develop a high-performing Revenue Operations organization, driving operational excellence, scalable processes, and the adoption of AI-enabled solutions that improve productivity and business performance</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>12+ years of experience in Revenue Operations, Sales Operations, GTM Operations, Finance, or related functions within a scaled SaaS or product-led growth company</li>\n<li>Proven experience leading revenue operations for multi-segment B2B organizations across SMB, Mid-Market, and Enterprise customer segments</li>\n<li>Deep expertise in forecasting, revenue planning, territory design, quota management, sales productivity, incentive compensation, and pipeline management</li>\n<li>Strong understanding of SaaS business models, revenue motions, and key operational drivers across acquisition, expansion, and retention</li>\n<li>Demonstrated ability to identify operational challenges and implement scalable, data-driven solutions that improve business performance</li>\n<li>Strong cross-functional leadership skills with the ability to influence senior stakeholders across Sales, Finance, Product, Marketing, and Customer organizations</li>\n<li>Experience supporting organizations through significant growth and GTM evolution, including PLG, sales-assisted, and enterprise motions</li>\n<li>Strong analytical and problem-solving capabilities, with extensive experience leveraging data to drive operational and business decisions</li>\n<li>Track record of building, developing, and leading high-performing revenue operations teams in a fast-paced, evolving environment</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Proven track record implementing AI-enabled revenue solutions that deliver measurable improvements in efficiency, productivity, and business outcomes</li>\n<li>Demonstrated experience owning and scaling GTM technology ecosystems, with deep expertise in Salesforce and related revenue platforms</li>\n</ul>","enriched_at":1785344955466},{"id":"job_80d30906-2c2","title":"Senior Fullstack Product Software Engineer, Web Experience","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8074704","location":"Remote - US: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>As a Senior Fullstack Product Software Engineer on Dropbox’s Browse &amp; Navigate Web Experience team, you will own and evolve the customer-facing web experiences and supporting systems behind Browse, Navigate, Preview, and related workflows.</p>\n<p>You will lead ambiguous, multi-phase work from technical discovery and design through rollout and operational ownership, partnering with Product, Design, Data, Infrastructure, and platform teams.</p>\n<p>You will combine full-stack execution with sound architecture, production judgment, and approved AI-assisted workflows while remaining accountable for final technical quality.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own multi-phase full-stack product capabilities from requirements and technical design through staged rollout, measurement, and ongoing operation.</li>\n<li>Design and evolve scalable web experiences, services, APIs, and data models for Browse, Navigate, Preview, App Shell, window chrome, and shared web capabilities.</li>\n<li>Make architecture and scope tradeoffs that balance customer needs, delivery constraints, reliability, performance, security, privacy, and maintainability.</li>\n<li>Improve observability, testing, incident readiness, and on-call health, and lead debugging and production-risk decisions when systems fail.</li>\n<li>Use approved AI and automation tools for implementation, testing, debugging, documentation, and operational workflows; validate outputs and standardize practices that preserve engineering quality.</li>\n<li>Align cross-team dependencies and create leverage through reusable components and services, design and code reviews, runbooks, technical documentation, and mentoring.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>9+ years of professional software engineering experience, including experience building full-stack product systems, or equivalent practical experience.</li>\n<li>Experience designing, shipping, and operating large-scale, customer-facing web applications and multi-component systems.</li>\n<li>Strong frontend engineering skills with TypeScript or JavaScript and modern web frameworks such as React, plus experience with at least one backend language such as Python, Go, Java, or C++.</li>\n<li>Demonstrated end-to-end ownership of ambiguous, multi-phase initiatives, including adjusting scope based on customer, business, and technical constraints.</li>\n<li>Experience making architecture tradeoffs across frontend systems, APIs, data models, reliability, performance, observability, and production operations.</li>\n<li>Ability to learn unfamiliar systems, codebases, and approved AI or automation workflows while validating generated output for correctness, security, privacy, and maintainability.</li>\n<li>Ability to communicate technical decisions clearly and align dependencies across Engineering, Product, Design, Data, Infrastructure, and platform partners.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience with large-scale content, file, collaboration, or productivity systems.</li>\n<li>Deep experience with React and TypeScript together with backend APIs, services, and data modeling.</li>\n<li>Experience with AI-assisted product experiences, recommendation systems, or operational automation.</li>\n<li>Experience leading cross-team migrations, staged rollouts, or platform integrations and improving SLOs, observability, or test strategy.</li>\n</ul>\n<h3>Durable Skills</h3>\n<p>AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<h3>Compensation</h3>\n<p>US Zone 2 $202,700-$274,300 USD US Zone 3 $180,200-$243,800 USD</p>","enriched_at":1784895053775},{"id":"job_61e3f914-ba0","title":"Senior Fullstack Product Software Engineer, Web Experience","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8074709","location":"Remote - Mexico","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>As a Senior Fullstack Product Software Engineer on Dropbox&#39;s Browse &amp; Navigate Web Experience team, you will own and evolve the customer-facing web experiences and supporting systems behind Browse, Navigate, Preview, and related workflows.</p>\n<p>You will lead ambiguous, multi-phase work from technical discovery and design through rollout and operational ownership, partnering with Product, Design, Data, Infrastructure, and platform teams.</p>\n<p>You will combine full-stack execution with sound architecture, production judgment, and approved AI-assisted workflows while remaining accountable for final technical quality.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own multi-phase full-stack product capabilities from requirements and technical design through staged rollout, measurement, and ongoing operation.</li>\n<li>Design and evolve scalable web experiences, services, APIs, and data models for Browse, Navigate, Preview, App Shell, window chrome, and shared web capabilities.</li>\n<li>Make architecture and scope tradeoffs that balance customer needs, delivery constraints, reliability, performance, security, privacy, and maintainability.</li>\n<li>Improve observability, testing, incident readiness, and on-call health, and lead debugging and production-risk decisions when systems fail.</li>\n<li>Use approved AI and automation tools for implementation, testing, debugging, documentation, and operational workflows; validate outputs and standardize practices that preserve engineering quality.</li>\n<li>Align cross-team dependencies and create leverage through reusable components and services, design and code reviews, runbooks, technical documentation, and mentoring.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>9+ years of professional software engineering experience, including experience building full-stack product systems, or equivalent practical experience.</li>\n<li>Experience designing, shipping, and operating large-scale, customer-facing web applications and multi-component systems.</li>\n<li>Strong frontend engineering skills with TypeScript or JavaScript and modern web frameworks such as React, plus experience with at least one backend language such as Python, Go, Java, or C++.</li>\n<li>Demonstrated end-to-end ownership of ambiguous, multi-phase initiatives, including adjusting scope based on customer, business, and technical constraints.</li>\n<li>Experience making architecture tradeoffs across frontend systems, APIs, data models, reliability, performance, observability, and production operations.</li>\n<li>Ability to learn unfamiliar systems, codebases, and approved AI or automation workflows while validating generated output for correctness, security, privacy, and maintainability.</li>\n<li>Ability to communicate technical decisions clearly and align dependencies across Engineering, Product, Design, Data, Infrastructure, and platform partners.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience with large-scale content, file, collaboration, or productivity systems.</li>\n<li>Deep experience with React and TypeScript together with backend APIs, services, and data modeling.</li>\n<li>Experience with AI-assisted product experiences, recommendation systems, or operational automation.</li>\n<li>Experience leading cross-team migrations, staged rollouts, or platform integrations and improving SLOs, observability, or test strategy.</li>\n</ul>","enriched_at":1784895034875},{"id":"job_ebee96b7-45d","title":"Senior Director, Revenue Operations","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8067367","location":"Remote - Canada: Select locations","job_type":"full-time","experience_level":"executive","work_arrangement":"remote","category":"Operations","description":"<p>Dropbox is seeking a Senior Director, Revenue Operations to lead and scale the operational foundation of the company&#39;s global B2B go-to-market organization.</p>\n<p>This role will be responsible for driving operational excellence across the revenue engine, enabling predictable, efficient growth across SMB, Mid-Market, and Enterprise segments.</p>\n<p>The Senior Director, Revenue Operations will own revenue planning, forecasting, revenue operations, incentives, systems, analytics, and GTM infrastructure.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own and continuously improve Dropbox&#39;s end-to-end revenue operating model, including segmentation, account coverage, territory design, role clarity, and cross-functional handoffs across Sales, Marketing, Customer Success, and Support</li>\n<li>Lead annual and quarterly revenue planning processes, including bookings targets, quota setting, capacity planning, territory design, and ramp assumptions</li>\n<li>Establish forecasting rigor, pipeline management processes, inspection cadences, and performance management standards that improve visibility and predictability across the business</li>\n<li>Define, track, and operationalize core revenue and GTM KPIs (e.g., pipeline coverage, win rates, ACV, sales cycle, productivity, CAC, velocity, retention, and expansion), identifying performance gaps and driving operational improvements</li>\n<li>Lead revenue operations across the customer lifecycle, from lead routing and opportunity management through renewal and expansion, ensuring scalable processes, governance, and execution excellence</li>\n<li>Partner with Data Science on analytical support and insights, experimentation and cadence for biz performance updates</li>\n<li>Partner with Finance on revenue planning, pricing operations, discounting frameworks, deal governance, sales compensation, and incentive design to support growth and operational discipline</li>\n<li>Partner with Customer Success and Support leadership to improve retention, renewal, and expansion outcomes through operational insights, reporting, and process optimization</li>\n<li>Enable GTM readiness and operational execution for new product launches, packaging changes, pricing updates, and growth initiatives</li>\n<li>Deliver executive-level reporting, business reviews, and performance insights that support decision-making across revenue leadership</li>\n<li>Build, lead, and develop a high-performing Revenue Operations organization, driving operational excellence, scalable processes, and the adoption of AI-enabled solutions that improve productivity and business performance</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>12+ years of experience in Revenue Operations, Sales Operations, GTM Operations, Finance, or related functions within a scaled SaaS or product-led growth company</li>\n<li>Proven experience leading revenue operations for multi-segment B2B organizations across SMB, Mid-Market, and Enterprise customer segments</li>\n<li>Deep expertise in forecasting, revenue planning, territory design, quota management, sales productivity, incentive compensation, and pipeline management</li>\n<li>Strong understanding of SaaS business models, revenue motions, and key operational drivers across acquisition, expansion, and retention</li>\n<li>Demonstrated ability to identify operational challenges and implement scalable, data-driven solutions that improve business performance</li>\n<li>Strong cross-functional leadership skills with the ability to influence senior stakeholders across Sales, Finance, Product, Marketing, and Customer organizations</li>\n<li>Experience supporting organizations through significant growth and GTM evolution, including PLG, sales-assisted, and enterprise motions</li>\n<li>Strong analytical and problem-solving capabilities, with extensive experience leveraging data to drive operational and business decisions</li>\n<li>Track record of building, developing, and leading high-performing revenue operations teams in a fast-paced, evolving environment</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Proven track record implementing AI-enabled revenue solutions that deliver measurable improvements in efficiency, productivity, and business outcomes</li>\n<li>Demonstrated experience owning and scaling GTM technology ecosystems, with deep expertise in Salesforce and related revenue platforms</li>\n</ul>","enriched_at":1784895004759},{"id":"job_8845eb7d-9b1","title":"Senior Fullstack Product Software Engineer, Web Experience","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8074707","location":"Remote - Canada: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>As a Senior Fullstack Product Software Engineer on Dropbox&#39;s Browse &amp; Navigate Web Experience team, you will own and evolve the customer-facing web experiences and supporting systems behind Browse, Navigate, Preview, and related workflows.</p>\n<p>You will lead ambiguous, multi-phase work from technical discovery and design through rollout and operational ownership, partnering with Product, Design, Data, Infrastructure, and platform teams.</p>\n<p>You will combine full-stack execution with sound architecture, production judgment, and approved AI-assisted workflows while remaining accountable for final technical quality.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own multi-phase full-stack product capabilities from requirements and technical design through staged rollout, measurement, and ongoing operation.</li>\n<li>Design and evolve scalable web experiences, services, APIs, and data models for Browse, Navigate, Preview, App Shell, window chrome, and shared web capabilities.</li>\n<li>Make architecture and scope tradeoffs that balance customer needs, delivery constraints, reliability, performance, security, privacy, and maintainability.</li>\n<li>Improve observability, testing, incident readiness, and on-call health, and lead debugging and production-risk decisions when systems fail.</li>\n<li>Use approved AI and automation tools for implementation, testing, debugging, documentation, and operational workflows; validate outputs and standardize practices that preserve engineering quality.</li>\n<li>Align cross-team dependencies and create leverage through reusable components and services, design and code reviews, runbooks, technical documentation, and mentoring.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>9+ years of professional software engineering experience, including experience building full-stack product systems, or equivalent practical experience.</li>\n<li>Experience designing, shipping, and operating large-scale, customer-facing web applications and multi-component systems.</li>\n<li>Strong frontend engineering skills with TypeScript or JavaScript and modern web frameworks such as React, plus experience with at least one backend language such as Python, Go, Java, or C++.</li>\n<li>Demonstrated end-to-end ownership of ambiguous, multi-phase initiatives, including adjusting scope based on customer, business, and technical constraints.</li>\n<li>Experience making architecture tradeoffs across frontend systems, APIs, data models, reliability, performance, observability, and production operations.</li>\n<li>Ability to learn unfamiliar systems, codebases, and approved AI or automation workflows while validating generated output for correctness, security, privacy, and maintainability.</li>\n<li>Ability to communicate technical decisions clearly and align dependencies across Engineering, Product, Design, Data, Infrastructure, and platform partners.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience with large-scale content, file, collaboration, or productivity systems.</li>\n<li>Deep experience with React and TypeScript together with backend APIs, services, and data modeling.</li>\n<li>Experience with AI-assisted product experiences, recommendation systems, or operational automation.</li>\n<li>Experience leading cross-team migrations, staged rollouts, or platform integrations and improving SLOs, observability, or test strategy.</li>\n</ul>\n<h3>Durable Skills</h3>\n<p>AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<h3>Compensation</h3>\n<p>Canada Pay Range $190,400-$257,600 CAD</p>","enriched_at":1784894990416},{"id":"job_84b38131-be2","title":"Business Development Manager","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8048847","location":"Remote - US: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Sales","description":"<h3>Role Description</h3>\n<p>The Dropbox Business Development team builds and grows strategic partnerships that expand Dropbox&#39;s reach, deepen product adoption, and drive long-term customer and revenue growth. As a Business Development Manager, you will own a portfolio spanning AI, platform/developer, hardware, AI, and SaaS ecosystems. You will manage the full partnership lifecycle,from opportunity identification and commercial strategy through launch, ongoing growth, and partner success.</p>\n<p>You will play a key role in shaping Dropbox&#39;s partnership strategy by identifying growth opportunities, evaluating business cases, and translating partner needs into integrated customer experiences. You will work closely with Product, Engineering, Finance, Legal, Marketing, and Sales to execute partnerships across device distribution and AI agent ecosystems. This role offers significant exposure to senior leaders and external executives while owning partnerships with meaningful strategic and commercial impact.</p>\n<p>AI and automation are increasingly embedded in our workflows, accelerating research, partner preparation, and administrative work. Success in this role comes from using these capabilities to increase efficiency while focusing your time on strategic decision-making, commercial negotiations, and relationship management.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Own and grow strategic distribution and ecosystem partnerships to drive customer acquisition, product adoption, and revenue growth.</li>\n<li>Identify, evaluate, and develop commercial opportunities with existing and prospective partners.</li>\n<li>Build business cases and financial models that inform partnership strategy and investment decisions.</li>\n<li>Lead or support commercial negotiations while balancing strategic objectives, customer value, and financial outcomes.</li>\n<li>Build trusted executive relationships through regular business reviews, strategic planning, and cross-functional collaboration.</li>\n<li>Analyze partner performance and leverage data, experimentation, and AI-enabled tools to optimize commercial outcomes.</li>\n<li>Partner effectively across Product, Engineering, Finance, Legal, Marketing, and Sales to execute complex partnership initiatives.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>5+ years of experience in business development, distribution partnerships, product management, or related commercial roles within SaaS, cloud services, or technology.</li>\n<li>Demonstrated success building and growing strategic business partnerships that drive measurable business results.</li>\n<li>Strong analytical and financial modeling skills with experience evaluating partnership investments and ROI.</li>\n<li>Excellent negotiation, communication, and executive presentation skills.</li>\n<li>Ability to influence cross-functional stakeholders and navigate ambiguity in fast-paced environments.</li>\n<li>Experience leveraging AI and automation tools to improve research, analysis, communication, or workflow efficiency.</li>\n<li>Bachelor&#39;s degree or equivalent practical experience.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>MBA, consulting, or corporate strategy experience.</li>\n<li>Strong understanding of consumer technology ecosystems.</li>\n<li>Experience leading complex cross-functional initiatives across product and commercial organizations.</li>\n<li>Demonstrated success using AI-enabled workflows to improve commercial execution.</li>\n</ul>\n<h3>Durable Skills</h3>\n<p>AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<h3>Compensation</h3>\n<p>US Zone 2: $162,200-$219,400 USD US Zone 3: $144,200-$195,000 USD</p>","enriched_at":1784805125110},{"id":"job_37a57bef-faa","title":"Senior Compensation Business Partner","source_url":"https://job-boards.greenhouse.io/dropbox/jobs/8050991","location":"Remote - Canada: Select locations","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"HR","description":"<p>We’re looking for an experienced Compensation Business Partner to join our Compensation Team. We collaborate with HR partners and business leaders to design and implement compelling compensation programs. We advise on complex compensation matters with in-depth analytics and strategic alignment to business goals. In this role, you will be client-facing and serve as a trusted partner to senior leadership to support their unique needs.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Drive Dropbox’s compensation philosophy, design and programs for your client teams.</li>\n</ul>\n<ul>\n<li>Build a consultative and collaborative relationship with HR business partners, business leaders, and executive leadership on compensation programs evolution and compensation initiatives.</li>\n</ul>\n<ul>\n<li>Act as a trusted advisor on compensation decisions. Support decisions with sound judgement and data-backed recommendations.</li>\n</ul>\n<ul>\n<li>Proactively research compensation best practices and trends. Perform analysis on effectiveness, competitiveness and fairness of existing programs. Present findings and thoughtful alternative solutions that are aligned with Dropbox’s philosophy.</li>\n</ul>\n<ul>\n<li>Contribute to the design, delivery, and continuous improvement of enterprise-wide compensation programs and processes, including job architecture, market benchmarking, compensation review cycles, and global compensation practices.</li>\n</ul>\n<ul>\n<li>Design and implement programs with an understanding of fulfilling business need and impact on global employee base.</li>\n</ul>\n<ul>\n<li>Build and deliver compensation-related training and education materials to your client teams.</li>\n</ul>\n<ul>\n<li>Work with the Recruiting team to deliver a delightful new hire process by applying Dropbox compensation policies in fair and equitable ways. This includes new hire offer package consultation to ensure alignment to market and internal peers.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>BA/BS in related field</li>\n</ul>\n<ul>\n<li>7+ years of experience in-house or advising, preferably for the technology industry or compensation consulting firm</li>\n</ul>\n<ul>\n<li>Experience with job evaluation, market matching, job pricing, compensation review cycles, and global compensation practices</li>\n</ul>\n<ul>\n<li>Demonstrated adaptability and experience in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Solid eye for business and the ability to influence and develop strong working relationships with multiple partners, including executives, line management, and peers.</li>\n</ul>\n<ul>\n<li>Experience in a client-facing role working and supporting Corporate Groups or EPD teams</li>\n</ul>\n<ul>\n<li>Strong change management and project management skills</li>\n</ul>\n<ul>\n<li>Strong written, presentation, and verbal communication skills</li>\n</ul>\n<ul>\n<li>Excellent analytical skills with the ability to synthesize complex data into clear outputs and recommendations to inform decision-making.</li>\n</ul>\n<ul>\n<li>Advanced Excel skills (interview process may include an Excel test). We’ll love it if you know Tableau, SQL, or have used AI for compensation analytics though not a requirement.</li>\n</ul>\n<h3>Preferred Qualifications</h3>\n<ul>\n<li>Experience using data visualization tools, such as Tableau, to communicate compensation insights and trends to business and HR stakeholders.</li>\n</ul>\n<ul>\n<li>Working knowledge of SQL, Databricks, or similar tools to analyze large or complex compensation datasets.</li>\n</ul>\n<ul>\n<li>Experience using AI tools for compensation analytics and reporting.</li>\n</ul>\n<h3>Durable Skills</h3>\n<p>AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:</p>\n<ul>\n<li>Awareness: Understand yourself and others.</li>\n</ul>\n<ul>\n<li>Judgment: Evaluate information and make decisions in complex situations.</li>\n</ul>\n<ul>\n<li>Adaptability: Learn, adjust, and stay effective through change.</li>\n</ul>\n<ul>\n<li>Connection: Communicate, collaborate, and build trust.</li>\n</ul>\n<h3>Compensation</h3>\n<p>Canada Pay Range $130,500-$176,500 CAD</p>","enriched_at":1784632452410}],"category_normalised":[{"category":"engineering","count":10},{"category":"sales","count":5},{"category":"design","count":4},{"category":"operations","count":2},{"category":"marketing","count":2},{"category":"hr","count":2},{"category":"it","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":1},{"week_start":"2026-04-20","count":2},{"week_start":"2026-05-11","count":1},{"week_start":"2026-06-15","count":5},{"week_start":"2026-06-22","count":2},{"week_start":"2026-06-29","count":2},{"week_start":"2026-07-06","count":1},{"week_start":"2026-07-13","count":1},{"week_start":"2026-07-20","count":7},{"week_start":"2026-07-27","count":4}],"trend":"accelerating","wow_pct":-43},"momentum":{"recent_14d":11,"prior_14d":2,"growth_pct":450,"classification":"stable"},"salary_vs_industry":{"company_median":257850,"industry_median":null,"percentile":null,"sample_size":14,"by_region":[{"region":"Remote","company_median":257850,"industry_median":null,"sample":14}],"transparency_pct":54,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":26,"industry_total":26,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.226,"skill_weighted_score":0.288,"top_exposed_titles":[{"title":"Senior Fullstack Product Software Engineer, Web Experience","count":3,"score":0.288},{"title":"Principal Software Engineer, Core Sharing & Collaboration","count":2,"score":0.288},{"title":"Principal Product Designer","count":2,"score":0}],"top_exposed_skills":[{"skill":"Python","count":6,"score":0.288},{"skill":"Go","count":6,"score":0.288},{"skill":"Java","count":5,"score":0.288},{"skill":"Databases","count":4,"score":0.288},{"skill":"Computer Science","count":3,"score":0.288},{"skill":"Software Development","count":3,"score":0.288},{"skill":"JavaScript","count":4,"score":0.288},{"skill":"React","count":4,"score":0.288},{"skill":"TypeScript","count":3,"score":0.288},{"skill":"C++","count":3,"score":0.288}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"Remote","count":26,"share_pct":100}],"emerging":[],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":3,"exec_prior_90d_avg":1.3,"exec_growth_pct":131,"notable_exec_hires":[{"title":"Senior Director, Revenue Operations","location":"Remote - US: All locations","posted_at":"2026-07-29"},{"title":"Senior Director, Revenue Operations","location":"Remote - Canada: Select locations","posted_at":"2026-07-24"},{"title":"Head of Field and Partner Marketing","location":"Remote - US: Select locations","posted_at":"2026-07-08"}]},"posting_dynamics":{"median_days_open":41,"industry_median_days_open":null,"long_open_count":5,"closure_rate_pct":60}}}}