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All Openings (5)

Ordered by most recently published

Senior Manager, Software Engineering (Integrity)

On-sitefull timeSeniorSan Francisco, United States
Apply Now

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes, for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Senior Manager, Software Engineering, Integrity to help lead the engineering team that protects donors and campaign organizers across GoFundMe and GoFundMe Pro. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week. The Job You will lead the software engineering team that protects donors and campaign organizers across GoFundMe and GoFundMe Pro. You will own end-to-end detection, content moderation, enforcement, moderation tooling, and appeals pipelines. You will build high-throughput systems that keep harmful content off the platform while preserving seamless fundraising for authentic causes. You will operate in a high-stakes technical environment where automated decisions directly affect active fundraisers and donation flows. You will set rigorous precision and recall standards that balance automated intervention with human review, and you will hold the line on accuracy before models reach production. You will expand platform coverage into key integrity domains, including donor and fundraiser privacy, nonprofit impersonation prevention, and high-volume coordinated abuse detection. You will deliver robust transparency reporting and appeals workflows that satisfy regulatory obligations. Manage, recruit, and mentor software engineers building detection, moderation, enforcement, and appeals systems. Review system architecture designs, write code, resolve critical technical incidents, and prototype new detection methods. Direct the full integrity lifecycle, from signal ingestion and machine learning classification to reviewer queues, automated actions, enforcement actions, user transparency, and user appeals. Track key operational metrics, including model precision, recall against human baselines, detection coverage, time to enforcement, review throughput, and appeal reversal rates. Deliver technical capabilities for privacy protection, abuse prevention, transparency reporting, and regulatory compliance across global jurisdictions. Build a sustainable, scalable set of internal tools that analysts and investigators use to research individual and coordinated abuse. Evaluate, integrate, and manage third-party vendor platforms for content detection and case management. Lead engineering incident response during platform abuse events and conduct post-mortem root-cause analyses. You Bachelor's degree in Computer Science or equivalent practical experience. 7 years of experience writing, reviewing, and operating production software systems in an on-call capacity. 4 years of experience managing software engineering teams, including hiring and performance management. Experience building trust, safety, fraud, or risk mitigation systems for online consumer platforms or marketplaces. Experience managing complete policy enforcement pipelines spanning signal detection, human review queues, enforcement actions, and appeals workflows. Experience collaborating with policy and legal teams to convert written platform policies into executable automated systems. Preferred Experience navigating platform regulations, including the Digital Services Act, Online Safety Act, state privacy regulations, and charitable solicitation legal requirements. Experience producing regulatory transparency reports and responding to data audit requests from governing authorities. Experience selecting, integrating, or replacing vendor software for detection and case management. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position in this location is $243,000–$364,000+ equity + benefits. Our salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please fill out this accommodation form . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘26 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .

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Software Engineering
Verified3 days ago

Senior Staff Software Engineer (Identity & Access Management)

On-sitefull timeLead / StaffSan Francisco, United States
Apply Now

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes, for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Senior Staff Software Engineer, Identity & Access Management to help build the identity platform behind gofundme.com and GoFundMe Pro, our platform for nonprofits and enterprise partners. You will own the layer that every product team and partner signs in through, from individual donors and organizers to organizations ranging from three-person grassroots nonprofits to large institutions. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week. The Job Build and run the identity platform that product teams and partners depend on: login, sessions, accounts, account linking, and identity resolution. Ship identity for both individuals and organizations, from a first-time donor to a grassroots nonprofit to a large institution. Own SSO and provisioning for our customers' users using SAML, OIDC, and SCIM, across a wide mix of identity setups. Decide where to build and where to buy, and lead migrations between identity providers without downtime. Shape how access decisions are enforced across services, working alongside our Policy & Data and Risk Intelligence partners. Make identity measurable, so we see problems before our users do. Write production code, review designs and code, and mentor engineers across the Platform Tribe. This is an individual contributor role with no direct reports. You 8+ years of software engineering, with significant time at senior, staff, or principal level on platform or product infrastructure systems. You have built or owned login, signup, account, or identity systems in production, such as merging duplicate accounts, converting guests to accounts, linking social or cross-device identities, or shipping passkeys. Working depth in OAuth 2.x, OpenID Connect, and SAML 2.0, enough to debug a failing flow, not just configure one. Strong judgment on sessions, tokens, and the tradeoffs that come with them. A track record of shipping, with a clear story about a tradeoff you owned. Preferred Experience at an early-stage, growth-stage, or mid-size company where you owned identity end to end. Identity work on both a consumer product and a multi-tenant B2B product. Experience integrating or migrating commercial identity platforms. Experience with SCIM, multi-tenant roles and permissions, or enterprise SSO for customers. Familiarity with policy engines such as OPA or Cedar. Familiarity with SOC 2, PCI DSS, GDPR, or CCPA. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The annual U.S. salary range for this full-time position is $233,500 - $321,200. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected] . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom . Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees. We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here . The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact [email protected] .

View more...
Software Engineering
Verified8 days ago

Staff Data Scientist (Pricing)

On-sitefull timeLead / StaffSan Diego, United States
Apply Now

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Staff Data Scientist (Pricing) to serve as the senior individual contributor driving the science, strategy, experimentation and AI deployment behind pricing and yield optimization at GoFundMe. This role sits at the intersection of economics, behavioral science, experimentation, and machine learning, with direct responsibility for optimizing donation conversion, donation amounts, and donor experience across the product. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week. The Job Own donation pricing and amount optimization end-to-end: Define the analytical strategy, modeling frameworks, and success metrics for pricing recommendations across product surfaces, balancing conversion, donation amounts, and long-term donor trust. Model human behavior using economics and AI: Apply economic theory, behavioral science, and machine learning to understand donor decision-making, estimate elasticity, and predict responses to changes in product design and choice architecture. Leverage non-transactional behavioral signals: Model sparse and indirect signals (e.g., navigation, hesitation, context, device, timing) to detect shifts in intent and interaction patterns beyond observed transactions. Build adaptive and reinforcement-aware systems: Design models that learn over time using experimentation signals, feedback loops, and reinforcement concepts (e.g., contextual bandits or sequential decision-making) where appropriate. Lead experimentation and causal learning: Partner with Product and Engineering to design robust experimentation and measurement frameworks, ensuring pricing and donation models are causal-aware, interpretable, and safe to deploy at scale. Incorporate external data and context: Augment behavioral models with external datasets (macroeconomic indicators, seasonality, regional or temporal signals) to better understand and anticipate donor behavior. Translate insights into action: Convert complex economic and behavioral analyses into deployable models, clear product recommendations, and measurable business impact. Influence through storytelling and leadership: Communicate insights effectively to senior leaders, humanize donor behavior through narrative, and serve as a trusted thought partner on pricing and donation strategy. Raise the technical bar: Set best practices for modeling rigor, validation, monitoring, and iteration; mentor other data scientists and elevate pricing science across the organization. You Experience & Education Either a Ph.D. in Economics, Applied Economics, or a closely related quantitative field, demonstrating the ability to push the boundaries of applied research and translate theory into practical modeling approaches OR 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company, with a proven track record of owning and scaling pricing or decisioning systems. Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. Demonstrated ability to own ambiguous, high-impact problems and deliver measurable business outcomes. Core Skills Strong foundation in econometrics, causal inference, and behavioral modeling. Deep understanding of price elasticity, choice modeling, and decision science. Experience modeling noisy, sparse, or non-transactional behavioral data. Hands-on experience designing and interpreting experiments and causal signals. Familiarity with reinforcement learning, bandits, or adaptive optimization concepts (applied or research-driven). Technical Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyMC/Stan or equivalent) and SQL, with the ability to build, validate, and iterate on complex analytical and modeling workflows. Demonstrated ability to leverage modern AI tools and coding agents (e.g., LLM-based assistants, autonomous or semi-autonomous coding agents, model-driven feature generation, synthetic data generation) to accelerate research, prototyping, and productionization of models. Experience designing or applying LLM-based or AI-assisted solutions to complex decisioning problems (e.g., feature extraction from unstructured data, rapid experimentation, simulation, or model orchestration), beyond basic prompt usage. Leadership & Collaboration Exceptional ability to tell clear, compelling stories from complex data. Comfortable influencing product direction and executive decision-making. Demonstrated ability to lead without authority and elevate team practices. Preferred but not required Experience in consumer pricing, marketplaces, or digital payments/donations. Experience partnering with engineering to productionize models and AI-driven systems, including monitoring, evaluation, and iteration in live environments. Familiarity with modern data platforms (Snowflake, Databricks) and experimentation infrastructure; experience with model versioning and validation is a plus. Strong data visualization, documentation, and presentation skills, with an emphasis on clarity and executive-ready communication. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The annual U.S. salary range for this full-time position is $179,500 - $269,500 . The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected] . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom . Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees. We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here . The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact [email protected] .

View more...
AI / ML & Data Science
Verified9 days ago

Staff Data Scientist (Pricing)

On-sitefull timeLead / StaffSan Francisco, United States
Apply Now

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Staff Data Scientist (Pricing) to serve as the senior individual contributor driving the science, strategy, experimentation and AI deployment behind pricing and yield optimization at GoFundMe. This role sits at the intersection of economics, behavioral science, experimentation, and machine learning, with direct responsibility for optimizing donation conversion, donation amounts, and donor experience across the product. Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week. The Job Own donation pricing and amount optimization end-to-end: Define the analytical strategy, modeling frameworks, and success metrics for pricing recommendations across product surfaces, balancing conversion, donation amounts, and long-term donor trust. Model human behavior using economics and AI: Apply economic theory, behavioral science, and machine learning to understand donor decision-making, estimate elasticity, and predict responses to changes in product design and choice architecture. Leverage non-transactional behavioral signals: Model sparse and indirect signals (e.g., navigation, hesitation, context, device, timing) to detect shifts in intent and interaction patterns beyond observed transactions. Build adaptive and reinforcement-aware systems: Design models that learn over time using experimentation signals, feedback loops, and reinforcement concepts (e.g., contextual bandits or sequential decision-making) where appropriate. Lead experimentation and causal learning: Partner with Product and Engineering to design robust experimentation and measurement frameworks, ensuring pricing and donation models are causal-aware, interpretable, and safe to deploy at scale. Incorporate external data and context: Augment behavioral models with external datasets (macroeconomic indicators, seasonality, regional or temporal signals) to better understand and anticipate donor behavior. Translate insights into action: Convert complex economic and behavioral analyses into deployable models, clear product recommendations, and measurable business impact. Influence through storytelling and leadership: Communicate insights effectively to senior leaders, humanize donor behavior through narrative, and serve as a trusted thought partner on pricing and donation strategy. Raise the technical bar: Set best practices for modeling rigor, validation, monitoring, and iteration; mentor other data scientists and elevate pricing science across the organization. You Experience & Education Either a Ph.D. in Economics, Applied Economics, or a closely related quantitative field, demonstrating the ability to push the boundaries of applied research and translate theory into practical modeling approaches OR 8+ years of industry experience in data science, applied economics, pricing, marketplace optimization, or monetization at a high-tech digital company, with a proven track record of owning and scaling pricing or decisioning systems. Deep experience applying economic reasoning, causal inference, and behavioral modeling to real-world decision-making problems. Demonstrated ability to own ambiguous, high-impact problems and deliver measurable business outcomes. Core Skills Strong foundation in econometrics, causal inference, and behavioral modeling. Deep understanding of price elasticity, choice modeling, and decision science. Experience modeling noisy, sparse, or non-transactional behavioral data. Hands-on experience designing and interpreting experiments and causal signals. Familiarity with reinforcement learning, bandits, or adaptive optimization concepts (applied or research-driven). Technical Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, PyMC/Stan or equivalent) and SQL, with the ability to build, validate, and iterate on complex analytical and modeling workflows. Demonstrated ability to leverage modern AI tools and coding agents (e.g., LLM-based assistants, autonomous or semi-autonomous coding agents, model-driven feature generation, synthetic data generation) to accelerate research, prototyping, and productionization of models. Experience designing or applying LLM-based or AI-assisted solutions to complex decisioning problems (e.g., feature extraction from unstructured data, rapid experimentation, simulation, or model orchestration), beyond basic prompt usage. Leadership & Collaboration Exceptional ability to tell clear, compelling stories from complex data. Comfortable influencing product direction and executive decision-making. Demonstrated ability to lead without authority and elevate team practices. Preferred but not required Experience in consumer pricing, marketplaces, or digital payments/donations. Experience partnering with engineering to productionize models and AI-driven systems, including monitoring, evaluation, and iteration in live environments. Familiarity with modern data platforms (Snowflake, Databricks) and experimentation infrastructure; experience with model versioning and validation is a plus. Strong data visualization, documentation, and presentation skills, with an emphasis on clarity and executive-ready communication. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering program. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The annual U.S. salary range for this full-time position is $179,500 - $269,500 . The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected] . Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom . Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees. We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here . The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact [email protected] .

View more...
AI / ML & Data Science
Verified9 days ago

Staff Data Engineer, Analytics Engineering

On-sitefull timeLead / StaffBuenos Aires, Argentina
Apply Now

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for our next Staff Data Engineer to join our Analytics Engineering squad within the Data team. In this role, you’ll help make our data reliable, high-performing, and easy to use for analysts, scientists, engineers and business teams. You’ll also explore using AI to assist our team in building and maintaining data models, ensuring we move fast without sacrificing quality. You’ll have a unique chance to own the normalized layer, improve how we monitor and test our models, and shape the way our analytics work at the company. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job Own and improve our normalized data layer, ensuring consistency, scalability, and high performance. Build automated tests and monitoring to catch issues before they reach production. Work closely with engineers, analysts and scientists to ensure data pipelines and models produce accurate, consistent, and well-structured data, coordinating on model design, testing, and quality checks to support reliable reporting and analytics. Contribute to warehouse performance and cost optimization, helping ensure queries are fast, reliable and efficient. Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies. Maintain clear documentation and standards so everyone on the team can move fast with confidence. You 8+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data. Proficiency with building and orchestrating data pipelines using ETL/data preparation tools. Strong SQL and python skills. Experience with data observability, automated testing, and monitoring frameworks. Comfortable with Snowflake performance tuning and managing large datasets. Collaborative and proactive — you like helping teams move faster and more reliably. Fluent in English (written and spoken). Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers. DBT experience. Preferred Experience with AI tools like GitHub Copilot, OpenAI API, or LangChain to assist engineering workflows. Experience working with Snowflake or Databricks a plus Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected]. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .

View more...
Data Engineering & BI
Verified24 days ago