Dropbox

👥 1001-5000💰 $600,000,000 Debt Financing about 8 years ago🫂 Last layoff almost 2 years agoPrivate CloudWeb HostingFile SharingEnterprise SoftwareCollaboration📈 Public Company
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Dropbox is a company that offers secure file sharing, collaboration, and storage solutions, aiming to revolutionize the way people work and unleash their creative potential.

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Jobs at this company:

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📍 Canada

💸 99500.0 - 134600.0 CAD per year

🔍 SaaS or technology

  • Bachelor’s degree in Business, Marketing, or a related field.
  • At least 5 years of experience in channel programs, partner management, or related roles in the SaaS or technology industry.
  • Strong project management skills with the ability to work independently on complex initiatives.
  • Experience working with partner ecosystems, including resellers, distributors, and technology alliances.
  • Strong analytical skills and ability to translate data insights into actionable improvements.
  • Excellent communication and collaboration skills in a cross-functional environment.
  • Work directly with high-potential partners and Partner/Disti Sales Managers to identify revenue and sales growth opportunities.
  • Collaborate on joint business plans and GTM program initiatives tailored to specific partner and market challenges for Top 20 Partners.
  • Analyze partner performance trends and recommend actions to maximize ROI, integrating key insights into executive QBRs and GSC Business Reviews
  • Serve as a bridge between the Partner Success Manager and Channel Reporting Lead to ensure data insights translate into actionable strategies
  • Triangulate growth and risk trends with regional sales leaders, PxMs weekly, monthly, quarterly
  • Run Partner QBRs with PSMs, DSMs on priority partners, orchestrating requirements and insights with proposed programmatic solutions
  • Recommend and monitor key performance indicators (KPIs) for channel activities, providing regular performance updates and insights to the executive leadership team.
  • Implement data-driven strategies to continuously improve channel effectiveness and efficiency.
  • Analyze partner sales pipelines and identify ways to accelerate deal cycles.
  • Work with internal teams (sales, marketing, and enablement) to create joint GTM campaigns, incentives, and co-marketing opportunities.
  • Collaborate with the Channel Reporting Lead to create dashboards showing partner performance trends (e.g., revenue contribution, deal velocity, customer lifetime value).
  • Use data to identify opportunities for upselling, cross-selling, or capturing new customer segments through partners.
  • Regularly evaluate partner profitability by analyzing cost-to-serve, incentives, and deal margins.
  • Collaborate with the finance and Channel Strategy and Programs team (CSP) to model ROI for partner programs, considering factors like deal size, product mix, and retention rates.
  • Provide recommendations to restructure incentive programs or terminate underperforming partnerships.

Project ManagementSQLBusiness IntelligenceData AnalysisSalesforceAnalytical SkillsRESTful APIsSales experienceData visualizationCRMFinancial analysisData modelingData analyticsData managementSaaS

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📍 Poland

🔍 Software Development

  • BS degree in Computer Science or related technical field, or equivalent experience.
  • 2+ years of experience in front-end development, with demonstrated experience working with a design system or within an design systems team.
  • Strong proficiency in HTML, CSS, and JavaScript, with a deep understanding of modern web development practices.
  • Experience with modern JavaScript frameworks like React, Vue, or Angular, and a proven ability to build and maintain complex single-page applications.
  • Proficiency in design tools such as Figma, and the ability to translate designs into responsive components and patterns.
  • Demonstrated understanding of accessibility standards and best practices, including WCAG guidelines and ARIA attributes.
  • Excellent communication, collaboration, and problem-solving skills, with a proven ability to work effectively in cross-functional teams.
  • Develop, maintain, and enhance UI components for our design system, ensuring they are accessible, performant, and scalable.
  • Collaborate closely with designers to translate designs and specifications into clean, efficient, and reusable code.
  • Contribute to the overall architecture and design decisions for new UI development across Dropbox’s products.
  • Ensure the design system adheres to WCAG guidelines and accessibility standards.
  • Write clear, concise, and robust documentation for the design system components and usage guidelines for both developers and designers.
  • Participate actively in code reviews, design critiques, and technical discussions to improve code quality and ensure adherence to Dropbox’s high standards.
  • Stay informed about the latest front-end technologies, trends, and best practices in design systems to continuously improve our system.
  • Troubleshoot and resolve internal customer issues related to the design system, providing timely solutions and maintaining the integrity of the system.
  • Collaborate effectively with product managers and engineers to understand their needs and provide guidance on leveraging the design system.

FigmaFrontend DevelopmentGitHTMLCSSJavascriptReact.jsUI DesignProduct DevelopmentCommunication SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsSoftware Engineering

Posted about 1 month ago
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🔥 Lifecycle Marketing Manager
Posted about 2 months ago

📍 US

💸 128200.0 - 195200.0 USD per year

🔍 Marketing

  • Minimum of 8+ years of experience in Marketing, with at least 5+ years focused on demand generation, customer acquisition lifecycle management (LCM), and/or integrated marketing roles
  • Established track record of bringing customer data, segments, channel, creative, content, and offers together to drive needed business outcomes via nurture strategies
  • Expert in end-to-end campaign development, execution, and measurement, specifically working with Marketing operations in the set up, execution and optimization of nurture programs
  • Craft and optimize demand generation nurture campaigns across product lines and geographies to monetize and retain users.
  • Implement lead generation programs to drive marketing-sourced pipeline for Sales.
  • Collaborate with marketing operations and sales team to understand lead quality and make data-driven adjustments to improve conversion rates.

SQLData AnalysisSalesforceMarketingLead GenerationDigital MarketingCRMSaaSA/B testing

Posted about 2 months ago
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📍 US: All locations

🧭 Internship

💸 11000.0 - 12000.0 USD per month

🔍 Software Development

  • PhD Student in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI (e.g., NLP, multimodal learning, LLMs, or similar).
  • Graduation date in Spring 2026
  • Proven experience in applied AI, through research publications, significant projects, or internships where you built or tested advanced ML solutions.
  • Strong coding skills (e.g., Python), plus an ability to quickly prototype and iterate on cutting-edge ideas.
  • Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs.
  • Explore & Prototype: Investigate cutting-edge research in areas like knowledge distillation, agentic AI, and multilingual LLMs, translating conceptual ideas into working demos or internal proofs of concept.
  • Applied AI Research: Work on real-world challenges—e.g., how to efficiently summarize large collections of documents, build agentic workflows, or orchestrate advanced reasoning models—and apply novel techniques to solve them.
  • Collaborate & Iterate: Partner closely with product managers, designers, and other engineers to brainstorm innovative applications, gather feedback, and iterate on prototypes.
  • Experiment & Evaluate: Design experiments to test your hypotheses, evaluate AI model performance, and analyze user impact. You’ll move quickly, learning what works and discarding what doesn’t.
  • Champion New Ideas: Help identify emerging trends in AI that could benefit Dropbox users, providing technical insight and feasibility assessments for future product initiatives.

PythonData AnalysisKerasMachine LearningNumpyPyTorchAlgorithmsData StructuresTensorflowResearch skillsData modeling

Posted about 2 months ago
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🔥 Emerging Partner Sales Manager
Posted about 2 months ago

📍 United States

🧭 Full-Time

💸 218800.0 - 296000.0 USD per year

🔍 Sales

  • 5+ years of Channel Sales experience
  • Strong sales track record with KPIs
  • Bachelor's Degree or equivalent
  • Prior IT Selling experience
  • Strong negotiation skills
  • Identify and evaluate potential partners based on strategic fit
  • Build and execute engagement tactics for recruitment
  • Manage partner progression through onboarding and activation
  • Drive joint go-to-market planning with partners
  • Negotiate partnership agreements

Business DevelopmentStrategic ManagementNegotiationSaaS

Posted about 2 months ago
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📍 Canada

💸 199800.0 - 270300.0 CAD per year

🔍 Software Development

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related technical field
  • 8+ Years experience designing, building, and deploying ML models for security-related use cases such as anomaly detection, behavior analysis, predictive modeling, and adversarial threat detection
  • Experience developing ML-driven real-time detection systems using tools like Apache Kafka, AWS Kinesis, or Google Pub/Sub
  • Proficiency with graph-based ML models, clustering techniques, and graph neural networks (GNNs) for detecting coordinated malicious activities
  • Proficiency in Python, Scala, or Java for developing and deploying ML solutions
  • Familiarity with scalable data systems (e.g. Databricks, Spark, data lakes and with systems such as binary and function signals)
  • Familiarity with security domains such as phishing detection and account takeover prevention
  • Design, build, and deploy machine learning models to detect and mitigate security threats, such as account takeovers, phishing, and malicious content distribution.
  • Develop algorithms for anomaly detection, behavior analysis, and predictive modeling to proactively identify risks and abuse patterns.
  • Develop graph, cluster and other adversarial risk signals for detecting and enforcing on bulk and coordinated operation among Dropbox accounts.
  • Work closely with Threat Intelligence, Product Trust & Safety, and Security Engineering teams to define and prioritize ML projects aligned with organizational goals.
  • Partner with data scientists, software engineers, and security analysts to integrate ML models into existing workflows and platforms.
  • Analyze large, complex datasets from multiple sources, including user behavior, telemetry, and external threat intelligence feeds.
  • Develop ML-driven solutions for real-time threat detection and response, including automation of security workflows.
  • Collaborate on initiatives to enhance user safety, such as URL reputation scoring, and abuse prevention.

PythonCybersecurityData AnalysisJavaMachine LearningAlgorithmsApache KafkaData engineeringData scienceSparkRESTful APIsScalaData modelingSoftware Engineering

Posted 2 months ago
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📍 United States

💸 221000.0 - 336400.0 USD per year

🔍 Software Development

  • 10+ years of experience in data engineering preferably in a tech company
  • Proven track record in architecting and building large-scale, high-performance data platforms and pipelines in a cloud environment (e.g., AWS).
  • Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Databricks).
  • Solid understanding of data modeling, ETL processes, and real-time data processing.
  • Expertise in leading enterprise business intelligence tools to support development of automated dashboards
  • Ability to influence prioritization and execution of high impact data initiatives
  • Proven ability in regards to managing and communicating data warehouse plans to internal clients.
  • Excellent verbal and written communication skills
  • Translate business requirements into technical requirements and vice versa.
  • Develop and execute a data strategy aligned with the company’s objectives, ensuring scalability, security, and performance.
  • Drive the adoption of best practices in data architecture, engineering, and governance across the organization.
  • Oversee the development of tools and frameworks for efficient and secure data access, analysis, and processing.
  • Ensure high availability and reliability of data systems, focusing on real-time, streaming, and batch processing capabilities.
  • Design and implement the long-term vision and architecture for data and analytics to support growth and multi-product efforts.
  • Partner with cross-functional teams (Data Science, Engineering, Product, and others) to understand and deliver on their data needs.
  • Define and design data integrations, data quality frameworks, and evaluate open-source or vendor tools for data lineage.
  • Establish and manage processes to achieve operational excellence, including defining SLAs for production data sets and processes.
  • Develop a data aggregation and reporting strategy, including delivering high-impact dashboards, data sets, and visualizations to inform key decisions.
  • Train and assist users in transforming data into actionable insights, fostering self-sufficiency in data usage.
  • Define and enforce data governance policies to ensure data quality, security, privacy, and compliance across platforms.
  • Collaborate with security and compliance teams to manage risks associated with data usage and storage.
  • Mentor and grow the team, supporting the development of talented data and platform engineers.

AWSLeadershipSQLApache HadoopBusiness IntelligenceCloud ComputingData AnalysisETLApache KafkaData engineeringData scienceRDBMSCommunication SkillsAgile methodologiesRESTful APIsMentoringExcellent communication skillsData visualizationData modelingData analyticsData management

Posted 2 months ago
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📍 Canada

💸 153900.0 - 208100.0 CAD per year

  • Minimum 7+ years of expert-level experience in Workday tools and technologies.
  • Workday module certifications preferred (e.g., WorkdayPro, HR / HCM, Integration).
  • Strong interpersonal and project management skills.
  • Outstanding communication and influencing skills.
  • Proficiency in data analysis within Workday, including report generation.
  • Leadership and team development skills.
  • Deep knowledge of People processes and a passion for technology solutions.
  • Data-driven approach to decision-making.
  • Experience with Workday integrations, Web Services, and reporting tools.
  • Lead end-to-end Workday projects, including implementation, enhancements, and process improvements across all active modules.
  • Partner cross-functionally with HR, IT, Finance, and other teams to understand business needs and identify user pain points.
  • Prioritize features and enhancements based on business impact, user feedback, and technical feasibility.
  • Drive innovation within Workday, exploring new functionalities and integrations that align with Dropbox’s People Technology roadmap.
  • Manage design, implementation, delivery, and support of integration projects using various Workday tools.
  • Create, maintain, and process standard and custom reports to meet business needs.
  • Work on system troubleshooting, manage severity assignments, and resolve issues.
  • Investigate methods for improving automation based on market trends.
  • Build and develop the Workday team, promoting best practices and technical growth.

SQLData AnalysisREST API

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📍 US

🧭 Full-Time

💸 204300.0 - 276300.0 USD per year

🔍 Technology

  • 15+ years of relevant experience in learning strategy and execution for leadership and employee development.
  • Expertise in learning design and adult learning methodologies.
  • Experience in leadership development and learning technology, including AI and ML.
  • Strong people management experience in a remote/hybrid context.
  • Experience in analytics to inform strategy and decision-making.
  • Partner with key stakeholders to identify skill gaps and influence talent strategy.
  • Craft and execute leadership development programs and curricula.
  • Pilot learning innovations to enhance learning experiences.
  • Manage a team responsible for various learning programs and ensure optimal employee experience.
  • Measure ROI and impact across all learning initiatives.

Artificial IntelligenceData AnalysisPeople Management

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📍 Poland

💸 249100.0 - 337000.0 PLN per year

  • 4+ years of product management experience, ideally ownership of customer-facing product.
  • Impact driven with a history of delivering measurable results.
  • Deep understanding and empathy for end-users.
  • Proven ability to work cross-functionally and drive decisions.
  • Ability to analyze quantitative and qualitative data.
  • Strong written and verbal communication skills.
  • Own features and experiments end-to-end.
  • Write product requirement documents, drive cross-functional execution.
  • Work with Engineering and Design to balance trade-offs and drive outcomes.
  • Be an expert at prioritization, balancing the roadmap.
  • Know your customer by collaborating with sales, customer experience, and design.
  • Identify problems and develop solutions that forecast impact.
  • Navigate challenges, ensure communication with stakeholders.

Data AnalysisProduct ManagementCross-functional collaboration

Posted 2 months ago
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