Do you want to change the world? At Cabify, that's what we're doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we've still got a long way to go...fancy joining us?

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating, Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Right now, we have more than 20 million users around the world. We work across 8 countries and 90 cities, adapting our product fast to be leaders in all those markets and taking care about sustainability.

The job:

We are looking for engineers with experience working with any backend technology, you will be working with Go, Elixir or Ruby for your day-to-day work. We believe that even if you have worked in other programming languages such as Java all your life you can still pick up Elixir or Go quickly. For us, it is more important to have someone who is adaptable and learns programming languages quickly.

Check our Public Tech Handbook >https://cabify.tech/handbook/< to know a bit more about us!

At Technology you will:

• Collaborate with the principal engineers on developments planning and architecture designs.
• Coordinate subprojects, building and maintaining distributed, clean, testable and data oriented applications.
• Improve services reliability, scalability and performance.
• Own your code all the way to production with a self-service continuous delivery pipeline and production infrastructure.
• Dive deep into host-level problem-solving and help to improve detection methods.
• Play a vital role in nurturing our engineering culture, emphasizing quality through peer-reviews, monitoring, and on-call best practices.
• Mentor junior developers to help them grow.
• Collaborate closely with the Data Science team on data oriented feature development.
  
  

Our Ideal candidate has:

• Great alignment with our principles.
• Knowledge of common algorithms & data structures.
• Experience in developing medium/large-scale web applications and distributed systems in a production environment.
• Experience with common design and architectural patterns.
• Ability to work on your own, but being a good team player too.
• Ability to understand and help to make great product and business choices.
• Ability to achieve results in a fast-paced, changing environment.

What’s it like to work at Cabify?

We’re a company full of motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-perfomance team.

• 💶Excellent Salary conditions: up to 72K
• 🏝️Recharge days! (10 Free Fridays annually)
• 🌍Our office is located in Madrid. 
• ⌚Flexible work environment & hours.
• 🙌Regular team events.
• 🚗Cabify staff free rides.
• 🚀Personal development programs based on our career paths.
• 📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
• 📐Free access to O'Reilly - The largest technical leading platform for engineers.
• 🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
• 💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
• 🐱A pet room ,so you don’t have to leave your furry friend at home
• ☕️And last but not least...free coffee and fruit!

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating, Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Join us!

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

Estamos buscando un Data Engineer talentoso y motivado para unirse a nuestro equipo. Las responsabilidades de este rol incluyen diseñar, construir y mantener una plataforma de datos sólida, de autoservicio, escalable y segura, así como pipelines de datos de extremo a extremo que permitan a Data Scientists generar insights y impulsar la toma de decisiones estratégicas.

Responsabilidades de un Data Engineer en QuintoAndar:

• Construir y mantener una plataforma de datos de alto rendimiento que satisfaga las necesidades de la empresa, se conecte con las soluciones de producto y lidere la innovación analítica, habilitando arquitecturas robustas y plataformas eficientes.

• Crear y mantener pipelines de datos, considerando la lógica de negocio que mejor se aplica al área en cuestión, eligiendo niveles de agregación, agrupación y transformación de campos, verificando la calidad de los datos y realizando su limpieza.

• Crear modelos de datos y flujos de trabajo de transformación, permitiendo la creación de abstracciones de datos claras y accesibles.

• Ser responsable de todo el ciclo de vida del desarrollo de código (monitoreo de despliegues, documentación, rendimiento, seguridad, incorporación de métricas y alertas, cumplimiento del presupuesto de SLO, entre otros).

• Investigar inconsistencias y ser capaz de rastrear el origen de las diferencias (data troubleshooting).

• Permitir que los equipos de toda la empresa accedan y utilicen los datos de manera más efectiva mediante herramientas de autoservicio y datasets bien modelados.

• Alinear con stakeholders para comprender sus necesidades principales, manteniendo una visión holística del problema y proponiendo soluciones extensibles, escalables e incrementales.

• Realizar PoCs y benchmarks para determinar la mejor herramienta para un problema determinado, y decidir si se debe utilizar una solución existente o desarrollar una internamente.

• Contribuir a definir la visión estratégica, cruzando límites entre equipos y servicios para resolver problemas.

• Promover el valor del análisis y la ingeniería de datos dentro de la organización y fomentar una cultura data-driven.

• Ser una referencia dentro del chapter en conceptos técnicos, herramientas y/o mejores prácticas de desarrollo.

Lo que buscamos:

• 7 o más años de experiencia en roles de Data Engineering.

• Especialización en tecnologías, soluciones y conceptos de Big Data (Spark, Hadoop, Hive, MapReduce) y múltiples lenguajes (YAML, Python).

• Experiencia con Airflow, Spark, AWS y Databricks.

• Base sólida en principios de ingeniería de software, con experiencia trabajando en sistemas centrados en datos.

• Experiencia con soluciones de almacenamiento columnar y/o conceptos de data lakehouse.

• Dominio de Python, u otro de los principales lenguajes de programación, y pasión por escribir código limpio y mantenible.

• Conocimiento sólido en optimización del rendimiento de consultas SQL.

• Experiencia construyendo modelos de datos multidimensionales (esquemas Star y/o Snowflake).

• Comprensión del ciclo de vida de los datos y conceptos como lineage, gobernanza, privacidad, retención, anonimización, entre otros.

• Conocimientos en áreas de infraestructura como contenedores y orquestación (Kubernetes, ECS), estrategias de CI/CD, infraestructura como código (Terraform), observabilidad (Prometheus, Grafana), entre otros.

• Dominio del inglés: nuestro código, documentación, herramientas y materiales suelen estar estructurados en inglés.

• Excelentes habilidades de comunicación, compartiendo de forma proactiva y colaborando tanto con stakeholders técnicos como no técnicos para traducir necesidades de negocio en soluciones de datos escalables.

• Experiencia como tech lead / project lead o similar.

• Curiosidad, atención al detalle y capacidad para desenvolverse en un entorno dinámico y orientado a datos.

Te destacarás si:

• Has participado en la construcción de plataformas de datos a gran escala para grandes volúmenes de datos y equipos, utilizando tecnologías de Big Data como Spark, Trino, Hive, Atlas, Ranger, entre otras.

• Tienes experiencia en la construcción de capas semánticas (semantic layers).

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-SF4

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

En nuestro equipo de Data Science, tendrás la oportunidad de trabajar como parte de nuestros product squads, desarrollando funcionalidades que enriquecen nuestro producto y brindan la experiencia de primer nivel por la que somos reconocidos. Trabajarás junto a profesionales brillantes con distintas especialidades: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, entre otros. Prepárate para el trabajo de tu vida: desafíos complejos, altas expectativas, mentes brillantes trabajando juntas, conversaciones significativas y una productividad extraordinaria.

Algunos de los problemas específicos en los que trabajamos en el equipo de Data Science incluyen sistemas de búsqueda y recomendación; mejora de la experiencia del cliente utilizando machine learning (como el enrutamiento automático de tickets); modelos de pricing, liquidez y crédito; y la construcción de una plataforma que nos permita desarrollar y desplegar todas estas soluciones.

Nota: Esta es una posición senior. Esperamos que tengas al menos 3+ años de experiencia aplicando Data Science y creando modelos de machine learning. Si tienes las habilidades pero estás comenzando tu carrera en Data Science, te recomendamos postularte a la posición de Data Scientist.

Responsabilidades

• Arquitectar, desarrollar y desplegar sistemas de machine learning en producción. Los principales casos de uso están relacionados con chatbots y sistemas de búsqueda.

• Diseñar y ejecutar experimentos.

• Analizar una amplia variedad de datos (estructurados y no estructurados, observacionales y experimentales) para mejorar los modelos actuales o crear nuevos.

• Aplicar el método científico para desarrollar aplicaciones impulsadas por LLMs, incluyendo probar diferentes prompts, explorar y comprender las capacidades de los LLMs, evaluar agentes y prompts, analizar guardrails de aplicaciones de IA y construir PoCs para validar la viabilidad de IA generativa en funcionalidades de producto.

• Participar activamente en discusiones y decisiones relacionadas con todo el chapter de Data Science (Guilds, Design Reviews, Demos, etc.).

Lo que buscamos

• Personas que quieran aprender y generar impacto real a través de Data Science.

• Conocimiento experto en conceptos de machine learning: regresión y clasificación, clustering, redes neuronales, selección de features, validación cruzada, curse of dimensionality, bias-variance tradeoff, explicabilidad de modelos, entre otros.

• Buena comprensión de los desafíos de ingeniería para desplegar sistemas de machine learning en producción.

• Dominio de Python.

• Conocimientos o experiencia con Deep Learning.

• Experiencia brindando asesoramiento técnico a otros data scientists (liderazgo técnico).

• Excelentes habilidades de comunicación técnica escrita y verbal. Buscamos a alguien apasionado por Data Science y Machine Learning, dispuesto a compartir su conocimiento con los demás miembros del Data Science Chapter.

• Buen nivel de inglés (oral y escrito) es obligatorio.

Te destacarás si

• Tienes un MSc. (o licenciatura + experiencia sólida) en machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing u otros campos relevantes.

• Tienes experiencia con IA generativa aplicada: agentes de IA, prompt engineering, fine-tuning de LLMs (LoRA, QLoRA, PEFT), LLM routing, monitoreo de LLMs y LLM guardrails.

• Tienes experiencia trabajando en startups de rápido crecimiento.

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-FS4

Staff Software Engineer – Buenos Aires, Argentina (Hybrid)

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page  https://international.nubank.com.br/careers/.

About the role

Our Engineering team helps Nu create and scale the technology that powers the best financial products in Latin America. We strive for state-of-the-art software development practices, using a variety of technologies and architectures to build resilient, secure, and highly scalable systems.

As a Staff Software Engineer, you will play a key role in shaping the technical direction of multiple teams, driving the design and evolution of large-scale distributed systems that serve millions of customers. While we value experience with our tech stack, we are confident that engineers who are eager to learn will be successful here — and we will teach you Clojure as our main backend language.

You will build and evolve:

• Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging functional programming techniques and hexagonal architecture
• High-throughput jobs and inter-service communication using Kafka
• Continuous Integration and Deployment pipelines on AWS
• Data storage solutions using Datomic and DynamoDB
• Monitoring and observability with Prometheus
• Services running as much as possible in Kubernetes

We are a process-light organization that values human interactions. We work in small, independent teams that feel like startups within the company and avoid unnecessary coupling and centralization whenever realistic. We understand that execution is key to success and continuously optimize our processes to remove bottlenecks.

You'll be responsible for

• Working with large-scale distributed systems and understanding their broad architecture and trade-offs
• Setting technical direction for multiple teams, ensuring alignment with Business Areas and architecture strategies
• Driving pragmatic innovation while ensuring resilient, secure, and flexible solutions that scale across products and geographies
• Mentoring engineers across teams and helping maintain a high technical bar organization-wide
• Writing, testing, instrumenting, documenting, and maintaining high-quality code
• Pairing and participating in code reviews to support the growth of others in and around your teams
• Collaborating closely with Product, Design, and Engineering leaders to build new end-to-end experiences
• Ensuring comprehensive observability, performance monitoring, and robust error handling across team services
• Participating in on-call rotations for your team and responding to incidents as necessary
• Focusing primarily on backend applications, while being open to contributing to mobile and frontend development according to business needs

We are looking for a person who has

• At least 8 years of experience developing digital products in complex environments
• Deep expertise in distributed systems, microservices architecture, and cloud technologies
• A proven track record of designing and delivering large-scale systems that serve thousands or millions of users
• A strong background in object-oriented or functional programming languages, with the ability to work across multiple languages
• Demonstrated ability to lead technical initiatives across multiple teams, even without direct authority
• Experience mentoring senior engineers and raising the technical bar across organizations
• Practical knowledge of agile software development methodologies and prior experience with CI/CD
• Strong communication skills to identify and prevent risks, and explain trade-offs clearly to both technical and non-technical stakeholders
• Advanced English skills

Location

Buenos Aires, Argentina.

Our Benefits

Our benefits are designed to support your wellbeing, development, and life outside of work. They include:

• Chance of earning equity
• Health Insurance
• Life Insurance
• NuCare
• International business travel insurance
• NuLanguage
• Vacations
• Parental leaves
• Work from home allowance

Even if you feel you don't meet every qualification, we encourage you to apply — your unique skills and experiences may be just what we're looking for, and we're excited to learn more about what you can bring to our team.

Work Model for this Role

Hybrid 2–3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit  https://building.nubank.com/nu-hybrid-work-model/.

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 Pro team is searching for a Staff Software Engineer to drive the technical vision and execution of our Integrations platform. You’ll serve as a senior IC on a high-impact team responsible for core integration surfaces including Public APIs, Webhooks, Salesforce integrations (NPC, NPSP), and Integration Platform as a Service (iPaaS) tools like Workato and Zapier. You’ll lead architecture efforts, mentor engineers, and work closely with cross-functional partners to build robust, scalable integration solutions that connect GoFundMe to the broader ecosystem. This role is ideal for a seasoned technical leader who thrives on solving complex problems, setting architectural direction, and leading by example through hands-on contributions.

Candidates considered for this role will be located in the Buenos Aires, Argentina.

The Job

• Define and drive the technical roadmap for our Integrations platform, ensuring it scales with product growth and business complexity.
• Lead the design and implementation of core integration components: Public/Private APIs, webhooks, internal/external system connectivity, and automation workflows.
• Serve as a hands-on expert and role model in software design, system architecture, and best practices.
• Guide the team’s use of AWS services (e.g., Glue, Lambda, API Gateway, Step Functions) to power scalable and maintainable integration workflows.
• Evaluate and integrate with third-party platforms like Salesforce (NPC/NPSP, Experience Cloud), Workato, and Zapier.
• Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to boost engineering quality and efficiency.
• Mentor and support engineers across the team through design reviews, pair programming, incident reviews, and informal technical coaching.

You 

• Strong and varied startup experience.
• Have 10+ years of software engineering experience with a deep focus on backend and systems integration (APIs, GraphQL, Webhooks, TypeScript, AWS, MySQL).
• Have proven expertise in designing and building robust APIs and scalable integration architectures like Microservices and event driven architectures.
• Have strong experience in analyzing, diagnosing, and preventing performance and scale problems, with expertise in application performance monitoring and log analytics tools like NewRelic and BugSnag.
• Are proficient in at least two of the following: Node.js, Python, Java
• Have strong AWS experience, particularly with services relevant to data and integration (e.g., AWS Glue, Step Functions, Lambda, SQS/SNS).
• Bring a product mindset and a pragmatic approach to technical decision-making to the team.
• A strong mentoring orientation and a desire to elevate those around you.

Preferred

• Experience building or maintaining Salesforce integrations and familiarity with nonprofit-specific packages (NPC, NPSP, Experience Cloud)
• Experience working with a CRM product and have a good understanding on how different CRMs work.
• Have demonstrated use of AI development tools to accelerate delivery and maintain high standards.
• Working experience with PHP Laravel.

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.

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 accommodationrequests@gofundme.com. 

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.

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 Analytics Engineer to join our Data Platform team! 

In this position, you will help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets. This role sits at the intersection of data engineering, analytics, and product, and is critical to enabling high-quality decision-making across the organization. You’ll partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. 

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job

• Design, build, and maintain scalable data models that power analytics, reporting, and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent, trusted business definitions
• Build curated, analytics-ready datasets from multiple sources (event data, transactional systems, third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing, validation, and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive, well-documented data models
• Support and scale experimentation frameworks, including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development
• Help shape how the team uses AI-assisted analytics — enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models, metrics, and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions, versioning, and access controls
• Drive adoption of best practices in analytics engineering across the organization

You 

• 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
• Strong expertise in SQL (advanced querying, optimization, window functions, etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift
• Strong understanding of data modeling best practices (star schema, dimensional modeling, etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling, documentation, and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker, Tableau, Sigma, or similar
•  

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g., LookML, MetricFlow, Cube, Transform)
• Experience with event tracking tools (GA, Heap, Segment, CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow, Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g., Hightouch, Census)

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.

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 accommodationrequests@gofundme.com. 

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.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

NuPay is a primary pillar in Nubank’s mission to revolutionize BNPL (Buy Now, Pay Later) solutions, creating a seamless bridge between customers and merchants. By stripping away the friction of traditional e-commerce checkouts, we are building an ecosystem where secure, instant payments are accessible across all channels—from online carts to physical stores via digital wallets.

You will join the NuPay team as a technical anchor, driving the evolution of a payments stack that balances massive scale with ironclad reliability. This role is about more than just moving bits; it’s about architecting the financial infrastructure that millions of people and businesses rely on to grow, ensuring every transaction is a bridge of trust between Nubank and our partners.

As a senior technical leader, you will oversee the technical direction of our payment features, navigating the complexities of authorization and settlement while mentoring the next generation of engineers. You will sit at the intersection of product innovation and platform stability, ensuring our checkout experience remains the gold standard for Latin American fintech.

Responsibilities

• Architect scalable systems for the NuPay domain, ensuring seamless and robust integration with our global internal payment platforms.

• Lead technical design for core payment lifecycles—including authorization, capture, settlement, and reconciliation—while balancing performance with security.

• Scale the payments platform to maintain high availability during extreme traffic surges, such as Black Friday or major retail events.

• Partner with Product Managers to iterate on the checkout journey, optimizing for high conversion and low churn while maintaining a world-class NPS.

• Define engineering standards for architecture, observability, and security, influencing multiple squads to uphold a high quality bar.

• Collaborate with Risk and Finance teams to engineer solutions that satisfy complex regulatory requirements without compromising the user experience.

Required Qualifications

• Track record of technical leadership in architecting complex, distributed software environments at scale.

• Deep expertise in high-availability systems, with demonstrated ability to perform rigorous trade-off analysis for long-term scalability.

• Background in high-criticality FinTech, specifically within Payments or Core Banking environments governed by strict SLAs.

• Evidence of delivering high-throughput systems using modern engineering practices, including automated testing, observability, and safe rollout strategies.

• Experience mentoring senior engineers, fostering a culture of technical excellence and shared ownership across organizational boundaries.

Nice to Have

• Experience with acquiring, sub-acquiring, or payment gateway architecture.

• Previous involvement with e-commerce or marketplace platforms managing proprietary payment stacks.

Location & Work Model

This role is based in São Paulo or Campinas, Brazil or Toronto, Canada or Buenos Aires, Argentina on a Hybrid model.

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For information on how we handle your data, please see our Candidate Privacy Notice on our careers site.

As a DFM Project Engineer – 3D Printing, you're primarily responsible for working with customers across an array of industries including general machine building, commercial, automotive, industrial and medical devices. It is critical that you have the ability to evaluate manufacturability of customer designs and recommend solutions utilizing Xometry’s extensive portfolio of 3D printing technologies and materials.

Responsibilities:

• You will use your expertise to develop and implement the applicable sourcing strategy
• Once an order is placed, you will be responsible to aid production in troubleshooting order execution to ensure customer success
• To do this, you must interface directly with 3D printing shops, internal staff members and management, as well as customers
• Additionally, you will take on special projects related to expanding the capabilities of our manufacturing partner network, working with OEM equipment makers, and our internal team of experts to improve our core competencies

Qualifications:

• Bachelor of Science Degree in Manufacturing Engineering, technical or related field preferred
• 5+ years in engineering and manufacturing environment in 3D printing, preferably at a multi-technology 3D printing shop
• Knowledge will include optimum 3D printing technology and material selections, printing cycle times, material limitations and costs and geometry limitations
• Experience working with suppliers, OEM equipment providers, and customers
• Knowledge of GD&T and inspection/QA practices of the USA is a plus
• Experience with 3D printing software is necessary (Materialise Magics, Rhino - Rhinoceros 3D)
• Experience with general 3D CAD modeling software is a plus (SolidWorks preferred)
• Ability to identify design for manufacturing (DFM) issues based on 3D models and drawings
• Prior experience in Design for Manufacturing 3D Printed components is a plus
• Injection Molding experience is a plus 
• Ability to work with customers on the fly and solve problems quickly
• Exceptional communication English skills
• Able to work with Partners in troubleshooting production issues and answering partner questions
• Able to work well in a fast-paced start-up environment

Additional Experience:

• Familiarity with different types of post-processing and finishes for printed parts
• Material selection knowledge is a plus
• Experience with Aerospace manufacturing/requirements is a plus
   

#LI-Remote

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 GoFundMe as our next Staff Machine Learning Engineer (Pricing). In this role, you will design, develop, and deploy machine learning systems that power pricing and monetization programs across GoFundMe such as personalized donation and checkout experiences, donation yield optimization (one-time and recurring), recurring donor LTV optimization, fundraising goal suggestions, and more. This role requires strong end-to-end execution and deep expertise in building production ML systems (data → training → online inference → measurement) with rigorous experimentation and monitoring.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina.

The Job…

• Own end-to-end ML systems for pricing optimization, from problem framing and metric definition (e.g., donation yield, conversion, retention, LTV) to model development, launch, and iteration in production.
• Design and implement backend model pipelines including feature engineering, training, and evaluation.
• Build low-latency real-time inferencing services, including API design, caching strategies, model packaging, and deployment on Kubernetes.
• Collaborate with teams to develop instrumentation and event pipelines to capture user and campaign activity required for training and evaluation (e.g., impression/click/submit, donation amount, tip amount, recurring enrollment/cancellation), ensuring schema quality, lineage, and privacy-by-design.
• Apply causal and experimental methodologies to measure impact and avoid biased optimization, including online A/B testing design, guardrail metrics, sequential testing considerations, and counterfactual/causal approaches when needed.
• Develop optimization approaches appropriate for pricing-like problems, such as uplift modeling, bandits, constrained optimization, calibration, and multi-objective tradeoffs (e.g., yield vs. donor trust, short-term conversion vs. long-term retention).
• Establish ML operational excellence by implementing model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, rollback strategies, and incident response playbooks for pricing systems.
• Partner cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into measurable technical deliverables and ship safely.
• Mentor and set technical direction for other engineers and scientists through design reviews, architecture decisions, and shared best practices for production ML in monetization.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems. (Full-stack experience—e.g., integrating with web clients and experimentation frameworks—is a plus.)

You…

• 7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.
• Strong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability).
• Demonstrated experience in pricing/monetization or growth optimization domains preferred.
• Experience designing and deploying real-time model serving (sub-100ms to low-hundreds ms latency targets), including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).
• Strong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.
• Working knowledge of experiment design and causal measurement for monetization systems, including pitfalls such as selection bias, interference, and delayed outcomes; familiarity with uplift modeling, bandits, or constrained optimization is a strong plus.
• Experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and operating models in production.
• Ability to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively with strong stakeholder communication.
• Strong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for ML-powered pricing systems.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• Sense of humor is optional but appreciated.

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.

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 accommodationrequests@gofundme.com. 

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.