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Role Description As the Senior Manager of Lifecycle Marketing, you will own Dropbox's lifecycle marketing strategy across onboarding, engagement, retention, monetization, expansion, cross-sell, and re-engagement. You will lead a team of lifecycle marketers and build a portfolio of programs that help customers discover value, expand their use of Dropbox, and deepen their relationship with our products over time. This is a senior people leadership role with direct accountability for business outcomes. You will set the lifecycle strategy and roadmap, determine where the team should invest, establish how programs are prioritized and measured, and stay close enough to the work to raise the quality of execution and unblock the highest-priority initiatives. You will work closely with Product Growth, Product, Product Marketing, Data Science, Marketing Operations, and other marketing teams. Lifecycle Marketing will own customer communication strategy, channel planning, lifecycle program design, and marketing execution. The opportunity is broader than running an email program. Dropbox has a large global customer base, multiple products, and both product-led and sales-assisted customer motions. The Head of Lifecycle Marketing will define how those pieces connect across the customer lifecycle and build the operating model needed to move from individual campaigns toward scalable growth programs. Responsibilities Own Dropbox's lifecycle marketing strategy and roadmap across onboarding, engagement, retention, monetization, expansion, and multi-product adoption. Lead, coach, and develop a team of lifecycle marketers, with clear goals, operating rhythms, and accountability for business outcomes. Build and manage a portfolio of lifecycle programs using customer behavior, product usage, segmentation, triggers, and personalization to improve adoption, retention, and revenue. Partner with Product Growth, Product Marketing, Data Science, Marketing Operations, and other cross-functional teams to connect lifecycle communications with activation, in-product discovery, monetization, and expansion while maintaining clear ownership across teams. Establish a strong experimentation and measurement approach, using controlled tests, holdouts, cohort analysis, customer behavior, and revenue to determine what creates incremental impact. Build the operating model for lifecycle marketing, including prioritization, planning, governance, and the technical and data capabilities required to execute reliably at scale. Requirements 10+ years of experience across lifecycle marketing, CRM, retention, growth marketing, customer engagement, or closely related disciplines, ideally in a SaaS, subscription, or product-led business. Significant people-management experience, with a track record of hiring, coaching, and leading high-performing teams. Demonstrated experience setting lifecycle strategy and translating it into programs that improve customer adoption, retention, monetization, expansion, or revenue. Deep experience with customer segmentation, behavioral triggers, personalization, experimentation, and marketing automation. Strong technical fluency across CRM and lifecycle systems, customer data, campaign orchestration, measurement, deliverability, and related operational requirements. Strong business judgment and experience working across Product, Product Growth, Data Science, Marketing Operations, Engineering, and Product Marketing to turn complex inputs into clear priorities and decisions. Preferred Qualifications Experience leading lifecycle marketing in a product-led growth business with both self-serve and sales-assisted motions. Experience building expansion, cross-sell, or multi-product programs across a broad existing customer base. Experience with Iterable or comparable enterprise lifecycle and marketing automation platforms. Durable Skills 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: Awareness: U nderstand yourself and others . Judgment: E valuat e information and mak e decisions in complex situations . Adaptability: L earn, adjust, and stay effective through change . Connection: C ommunicat e , collaborat e , and build trust . To learn more about why these skills matter and what the data shows about thriving through change, read this  blog post from our Chief People Officer, Melanie Rosenwasser. Compensation US Zone 1 This role is not available in Zone 1 US Zone 2 $181,500 — $245,500 USD US Zone 3 $161,300 — $218,300 USD

Role Description As a Learning Experience Designer within Dropbox's Customer Advocacy organization, you will create engaging, accessible, and effective learning experiences that help customers and administrators understand Dropbox products, complete key tasks, and achieve their goals. You will design and maintain customer education across Dropbox Learn, product-launch education, learning paths, multimedia tutorials, and other self-service learning experiences. Working closely with cross-functional partners, you will translate complex product capabilities and customer needs into clear, actionable instruction. You'll combine instructional design principles, digital content production, and responsible AI-assisted workflows to develop scalable learning experiences. Your work will contribute to helping customers become more confident and successful with Dropbox products while improving the consistency, quality, and accessibility of customer education. Responsibilities Design, develop, publish, and maintain engaging, accessible, and accurate customer learning experiences across Dropbox products and education platforms. Create and update web-based training, learning paths, product-launch education, tutorials, multimedia content, and other instructional resources. Translate complex product workflows and customer needs into clear, task-oriented instruction with logical sequencing and actionable next steps. Author, publish, and maintain learning content using Contentful and related content-management and learning-delivery platforms, including quality assurance and localization preparation. Collaborate with Product, Product Marketing, Customer Advocacy, Support, subject-matter experts, and program managers to deliver education aligned with customer and business needs. Responsibly leverage AI tools to support content drafting, storyboarding, synthesis, analysis, and production efficiency while validating outputs for accuracy, accessibility, instructional quality, and customer relevance. Support continuous improvement of learning experiences through reusable templates, documented processes, customer feedback, performance insights, and content-quality standards. Requirements Experience creating or maintaining customer-facing learning, instructional, technical, enablement, or product education content. Ability to translate complex product concepts and workflows into clear, structured, task-oriented instruction. Experience using content-authoring, learning-management, or publishing platforms. Ability to collaborate effectively with subject-matter experts and cross-functional stakeholders to develop and refine instructional content. Understanding of instructional quality principles, including accuracy, accessibility, consistency, and learner usability. Strong organizational skills and the ability to manage multiple content deliverables, incorporate feedback, and meet deadlines. Ability to learn and responsibly use AI-assisted tools to improve productivity while maintaining accountability for content quality and accuracy. Preferred Qualifications Experience developing web-based training, interactive learning, quick-start guides, video tutorials, or progressive learning paths. Familiarity with Contentful, Articulate, Wistia, or comparable content and learning-production tools. Experience supporting product launches, localization, or customer self-service education programs. Experience using learning analytics, customer feedback, or content-performance data to inform improvements. Experience collaborating with distributed teams in a technology or SaaS environment. Durable Skills 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: Awareness: U nderstand yourself and others . Judgment: E valuat e information and mak e decisions in complex situations . Adaptability: L earn, adjust, and stay effective through change . Connection: C ommunicat e , collaborat e , and build trust . To learn more about why these skills matter and what the data shows about thriving through change, read this  blog post from our Chief People Officer, Melanie Rosenwasser. Compensation Ireland Pay Range €37.800 — €51.200 EUR

We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We're especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana's infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana's long-term vision for storage reliability. Debug production issues across the stack. Yes, there's an on-call rotation – but this isn't a pager monkey role. You're here to fix things properly and make sure they don't break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you're comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you're only comfortable with scripting, this isn't the right role . We're looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You'll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

  About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: We are seeking an experienced L4 People Technology Developer to lead the design, configuration, and optimization of Workday solutions that power our HR and payroll processes. The ideal candidate brings advanced, wide-ranging Workday expertise, applies creative and effective solutions to complex business problems, and guides the development of new approaches and best practices. This role operates with a high degree of independence, mentors others on Workday functionality, and partners closely with the People Team, IT, and cross-functional stakeholders to ensure Workday delivers scalable, business-ready outcomes. About the Team: The People Operations, Services, and Technology team is transforming how Gusto supports its people by pairing cutting-edge AI with smart automation. We optimize workflows, enhance service delivery, and free up teams to focus on meaningful, high-impact work to support a more responsive, efficient, and future-ready people experience. Day To Day:   Workday Configuration & Enhancements Lead configuration of Workday modules (e.g., Payroll, Absence, Time Tracking, HCM, Talent, Compensation) on complex business requirements, applying in-depth evaluation to determine optimal approaches. Architect and guide development of Workday Business Processes, calculated fields, condition rules, and security roles; exercise judgment in selecting methods and techniques on new assignments. Lead evaluation and adoption of new features with each Workday release; identify creative solutions and guide policy development for optimization across modules. Reporting & Analytics Develop and own advanced, matrix, composite, and dashboard reports in Workday; apply in-depth analytical judgment to surface actionable workforce insights for senior stakeholders. Drive data quality and integrity standards across Workday and connected systems; provide in-depth analytical insights to inform workforce decisions and cross-functional planning. Own audit readiness through proactive reporting, documentation, and control frameworks; determine appropriate methods independently. Testing & Quality Assurance Design and lead test strategies including test plans, scripts, and UAT coordination; exercise independent judgment in defining testing approaches and resolving complex issues. Lead regression and functional testing for biannual Workday releases; determine procedures and guide team approach to ensure quality and business continuity. Collaboration & Support Network with key contacts across functions; adapt communication style to diverse audiences and frequently advise others—including senior partners—on complex Workday matters, using persuasion and judgment to drive alignment. Provide expert-level Workday system support; independently diagnose and resolve complex issues, and develop scalable solutions that prevent recurrence. Mentor and upskill team members and key users on Workday functionality; act as an internal subject matter authority on system capabilities and best practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, HR Technology, or related field (or equivalent experience). 5-7 years of hands-on Workday analyst or configuration experience Advanced, wide-ranging knowledge of Workday security, business processes, reporting, and calculated fields; proven ability to independently determine methods and techniques on new, complex assignments. Demonstrated ability to work on complex, ambiguous issues requiring in-depth evaluation; exercises independent judgment in selecting approaches, with work reviewed upon completion rather than in progress. Preferred Qualifications Workday certifications (Payroll, Absence, HCM, Benefits, Time Tracking, Reporting). Experience in HR, payroll, benefits, or related domains. Experience working in an agile environment; track record of guiding new policy development and mentoring junior team members on system best practices. Compensation: At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto's compensation philosophy and benefits offerings please view our Total Rewards Approach page. Our cash compensation range for this role is $128,000/yr to $160,000/yr in Denver & most remote locations, and $154,000/yr to $193,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. At Gusto, we don't use titles the traditional way, as a signal of rank or hierarchy. Instead, our titles describe two things at once — your craft (what you do, e.g. Engineering, Design) and your scope of ownership (what you're accountable for) — which is why you'll see something like "Head of X" instead of a rank word like "Director" that tells you neither. Because of this, the title on this posting may look different from what you'd expect based on the scope and seniority of the role, and from how similar roles are typically titled elsewhere. If you have questions about how this role compares to your current title or level, your recruiter can help translate. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.  When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Reliable, consistent presence: We expect regular and predictable attendance, whether you're working in-office, hybrid, or fully remote, so that you stay closely connected to your team, customers, and stakeholders in real time and ensure colleagues and customers receive the timely support and responsiveness they deserve. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.  Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer . Personal information collected and processed as part of your Gusto application will be subject to  Gusto's Applicant Privacy Notice .

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $95,040 - $118,800.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $95,040 - $118,800.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

The MongoDB Query Testing Tools Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system. Our Team builds tooling that allows us to ship Query Engine features with high confidence in both correctness and performance, making it a great fit if you like seeing your work protect real customers at scale. The team develops advanced testing frameworks (end-to-end testing, fuzzing, property-based testing) as well as performance measurement tools, including high-volume workload generation tools. The team is part of the Query organization which is responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads. Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly. The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous development, testing and automation strategies. This role can be based out of our Dublin/Cork office, or remotely in Ireland. Candidate Profile 5+ years of experience in software development and/or performance engineering Fluency in Python, Javascript or Typescript Enjoys chasing down difficult problems in a distributed environment Able to make complex concepts easy to grasp in written and spoken English Able to decompose and solve complex problems and can rapidly iterate by validating new hypotheses and rethinking current assumptions Demonstrating hands-on experience working with relational or NoSQL databases is a plus B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus Experience in developing automation test frameworks is a plus Experience in query processing engine testing is a strong plus Experience in developing performance test plans and monitoring frameworks is a strong plus Background in database query engines or compilers is a strong plus Position Expectations Design, develop, and maintain automated testing frameworks, Performance automated tests and internal tooling for the MongoDB query engine Collaborate closely with peers to understand new features and functionalities, ensuring testability, test frameworks, tooling and coverage for automating tests of both happy-path and edge-case scenarios Provide feedback in code reviews, focusing on the robustness and reliability of code changes Success Measures Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine. You have contributed to several code bases on Mongodb engine internal tooling By six months, you have established yourself as a key owner of automated test frameworks, and demonstrated improvements in test efficiency and coverage After twelve months, you are instrumental in ensuring quality of major new features, setting an example for new team members in best practices for correctness and performance test automation and internal tooling About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 3273588903

About the Job MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB. We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The Ideal Candidate Will Have 3-5+ years (Mid-Level) or 5+ years (Senior) of commercial software development experience with strong proficiency in Python and/or Java Experience(or extensive experience for senior candidates) designing and building scalable, high-performance APIs and backend services Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation Good understanding of algorithms, data structures, and their time and space complexity Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack Degree in Computer Science or a similar field, or equivalent practical experience Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and written communication skills Nice to Have Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically Familiarity with MongoDB Experience with cloud-native distributed systems (e.g., Kubernetes or similar) Contributions to open-source projects Position Expectations Contribute high-quality, well-tested code to the App Analysis & Modelling team's backend and frontend services Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features Drive technical design and architecture for complex features (for senior candidates), or deliver robust implementations following established designs (for mid-level candidates) Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap Participate actively in code reviews to enforce best practices and maintain a high bar for code quality Give and solicit feedback on technical design documents and pull requests Help troubleshoot and resolve complex technical issues across the stack Perform tasks related to engineering process such as CI/CD, quality, and testing Mentor and guide team members while elevating engineering best practices (for senior candidates) Success Measures Within the first three months, you will have: Familiarised yourself with the MongoDB database and aggregation language Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure Set up your software development environment and begin contributing to the codebase Started collaborating with your peers and contributed to code reviews and design discussions Within six months, you will have: Familiarised yourself with the full stack including the React/TypeScript frontend Worked on and delivered a large-scale feature in the product Contributed to and helped deliver multiple product releases Reviewed and contributed to scope and technical design documents Within twelve months, you will have: Become a core technical leader (for senior candidates) or an independent owner of complex features (for mid-level candidates) Delivered at least one large-scale feature that spans the entire tech stack Helped recruit and interview new members of the team Collaborated effectively with other teams at MongoDB on cross-functional projects Help recruit, mentor, and interview new members of the team (emphasized for senior candidates) About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID : 426487

MongoDB is seeking a Regulatory Change Management Program manager to help anticipate regulatory developments within Technology, Cyber Security and AI spaces, assess their implications for the business, and ensure material obligations are identified and addressed before they create unexpected risk or exposure. This role reports to the Director of Operations within MongoDB's Assurance, Risk & Compliance (ARC) team. You will monitor the regulatory environment, assess applicability and compliance impact, and give the ARC team a clear view of emerging obligations, exposure, and readiness. In addition to working within ARC, you will work across Privacy, Legal, Product, Engineering, People, and other business teams, providing the insight, interpretation, and escalation that help accountable owners respond early and proportionately. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you will do Regulatory horizon scanning and change management Monitor and triage developments in data protection, privacy, cybersecurity, digital resilience, artificial intelligence, online services, and other regulations relevant to MongoDB Maintain a forward-looking regulatory change inventory, including source, effective date, applicability, affected business areas, accountable stakeholders, and current assessment status Collaborate with legal to assess whether a regulatory development is relevant to MongoDB's products, services, entities, customers, suppliers, workforce, or operating model Prepare concise impact assessments, obligation summaries, briefing notes, and escalation papers for senior stakeholders within ARC group and Global Security Organization Coordinate regulatory change assessments across subject-matter experts Track decisions, dependencies, risks, and overdue responses; identify where ownership or interpretation is unclear Surface emerging themes and potential blind spots Data protection and Data classification  Collaborate with the Security team, the Privacy and Legal teams with GDPR and related data-protection analysis across products, business processes, and third-party relationships Escalate potential compliance gaps, or unresolved interpretation questions Help maintain and evolve a practical data-classification framework aligned to regulatory, security and business requirements Advise teams from Compliance perspective on classification decisions for information used in internal systems, customer engagements, and third-party services Review Compliance related classification challenges and exceptions for consistency, proportionality, and traceability Oversight, reporting, and assurance Develop dashboards and reporting that show exposure, readiness, ownership, overdue decisions, and material trends rather than activity for its own sake Support internal compliance requests, regulatory enquiries, and control assessments by coordinating evidence and explaining the basis for conclusions Contribute to policies, standards, playbooks, and training content where regulatory interpretation or risk context is required What we are looking for Five or more years of experience in regulatory change management in compliance, privacy, or a closely related discipline Practical knowledge of data-protection principles, especially GDPR and UK GDPR, including lawful processing, accountability, data minimisation, transfers, retention, and individual rights Exposure to DORA, NIS2, the EU AI Act, ePrivacy requirements, digital-services regulation, or comparable technology regulation Experience working with in-house legal teams to interpret laws, regulations, regulatory guidance, or contractual requirements and translating them into obligations, applicability assessments, risks, and decisions Experience supporting regulatory change management, horizon scanning, obligations management, or compliance impact assessments Understanding of data classification, information governance, records management, or data-handling frameworks Strong analytical and problem-solving skills, with the ability to distinguish material risk from noise and draw clear conclusions from incomplete information Excellent written communication skills, including the ability to produce concise briefings, evidence-based recommendations, and documentation for technical and non-technical audiences Strong stakeholder-management and collaboration skills, with the confidence to work across Legal, Privacy, Security, Engineering, Product, Procurement, People, and customer-facing teams High attention to detail and strong organisational skills, including the ability to manage multiple priorities, deadlines, dependencies, and follow-ups A proactive, questioning mindset: you look for what could be missed, what has changed, who is affected, and what evidence would change the conclusion Ability to work independently, exercise sound judgement, and escalate appropriately when ownership, applicability, or risk is unclear Nice to have Experience in a technology, SaaS, cloud, platform, or other highly regulated environment Familiarity with information-security and assurance frameworks such as ISO 27001, SOC 2, NIST CSF, or the Cloud Security Alliance controls Experience working with regulatory inventories, GRC platforms, privacy-management tools, data catalogues, or workflow systems A relevant qualification such as CIPP/E, CIPM, CIPT, IAPP FIP, CISA, CRISC, or an equivalent professional credential What success looks like Leaders receive early, decision-useful insight into regulatory developments that could affect MongoDB Regulatory changes have a clear applicability assessment, accountable owner, documented rationale, and visible next step Data-classification questions are answered consistently, with uncertainty and residual risk made explicit The organisation can distinguish between a confirmed obligation, an interpretation requiring legal advice, an implementation task, and an unresolved risk Audits, customer reviews, and regulatory conversations are supported by current evidence and a clear explanation of how conclusions were reached Teams are less likely to be surprised by new obligations, missed dependencies, unclear ownership, or unsupported compliance claims About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 3273589204