Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

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

#OLATAM #REQID17227

The Team:

The Engineering Foundation team is a newly formed team responsible for ensuring the overall architecture supports the company’s rapid growth and provides an excellent experience for all CookUnity users.

We’re undertaking a large re-architecture of many systems across the engineering stack, and we’ll shape (and build) the future frameworks, technologies, and patterns for the rest of the engineering org to leverage.

The Role:

This is a rare opportunity to work at a rapid growth scaleup company and build on an entirely net new system to set the engineering foundation and principles across the org.

As a Staff Data Engineer on the Engineering Foundation team, you’ll play a critical role in defining the direction for the future of CookUnity’s data engineering architecture. You will design & build net new data pipelines and systems that form the future base of our B2C data engineering stack, and set in place best practices and patterns for the entire CookUnity data engineering org to adopt.

We’re looking for someone excited about the prospect of taking an existing product that’s growing rapidly and helping to rebuild key components of our system. This will help set CookUnity up to scale gracefully for our next years of rapid growth, reduce overall system complexity, enable greater product experimentation, and enable product teams to build incredible features faster.

Responsibilities:

• Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth.
• Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production.
• Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices.
• Optimize data models to support fast, efficient decision-making across high-impact product and business use cases.
• Partner closely with product, engineering, and data science teams to quickly translate evolving business needs into scalable, production-ready data solutions.
• Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow.
• Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement.
• Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent.

Qualifications:

• 7+ years of relevant industry experience.
• Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries.
• Proven track record of driving innovation within highly technical, distributed teams. You have driven complex projects to completion and are motivated by solving high-impact problems and building for the best user UX.
• Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets.
• Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines.

Preferred Requirements:

• Experience designing data architectures to power a variety of use cases, including enabling experimentation
• Be opinionated on engineering best practices and help contribute to our strong engineering culture.
• Experience with cloud-native technologies (Kubernetes, containers, etc).
• Past experience working in a rapid growth company or an early stage startup environment.
• A passion for food!

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

Learn More About CookUnity:

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.  

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.

Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.

What you’ll do: 

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
• Lead optimizations in database and query performance.
• ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
• Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.

• Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
• Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
• Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

What We look for: 

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
• Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
• Advanced proficiency in SQL.
• Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
• Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.

Preferred Knowledge and Skills:

• Prior experience in high-growth, data-intensive fintech or similar regulated environments.
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
• High enthusiasm for using AI to be as productive as possible.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)

Job Title: Data / Platform Engineer (AWS & Data Pipelines)

We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.

In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.

Key Responsibilities

• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.

• Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.

• Develop and maintain data workflows using Python and SQL.

• Orchestrate and monitor pipelines using Apache Airflow.

• Build and deploy containerized applications using Docker and Kubernetes.

• Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.

• Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.

• Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.

• Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

Required Qualifications

• Strong professional experience with Python and SQL.

• Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).

• Proven experience building and operating both streaming and batch data pipelines.

• Professional experience with Apache Airflow, Docker and Kubernetes.

• Ability to translate high-level system designs into actionable technical tasks and realistic estimates.

• Comfortable working in dynamic and fast-paced environments and in distributed teams.

• Strong interest in automation and monitoring.

• Strong hands-on experience with Apache Spark.

• Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.

• Proven ability to transfer knowledge and support ownership handovers.

• Fluent or professional working proficiency in English (both written and spoken).

Nice to Have

• Previous experience in the telecom industry.

• Experience with machine learning systems and/or event-driven architectures.

• Experience with Apache Iceberg.
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

Type: Contract, per-project.
Location: Remote - within LATAM time zones (GMT-3 to GMT-5) - Remote with meetings across U.S. time zones
Availability: Contractor (40 hours per week)

Windows Application Developer - Partner Engineer
We’re looking for a Windows Application Developer - Partner Engineer to join our Windows Ecosystem Enablement team.
This role is focused on helping strategic ISV partners bring their desktop applications into the Windows ecosystem and the Microsoft Store. You will work directly with senior engineers, solve complex packaging and platform issues, build reference implementations, and navigate Microsoft’s internal teams to unblock partner success.
This is not a traditional Windows developer role. We are looking for someone with deep understanding of the Windows ecosystem—someone who understands how software is packaged, distributed, installed, and integrated at the OS level.

Core Responsibilities
Partner Technical Support & Onboarding

• Support ISV partners with packaging, publishing, and onboarding applications into the Microsoft Store

• Resolve technical blockers related to installers, Store dependencies, Windows Update, drivers, policies, and OS-level integrations

• Help partners adopt the right architecture across Win32, .NET, UWP, WebView2, PWA, MSIX, and unpackaged app models

Prototyping & Technical Problem Solving

• Build small tools, sample apps, sandbox environments, and reference implementations to reproduce and solve partner issues

• Create proof-of-concepts without touching client codebases

• Deliver targeted fixes across packaging workflows, SDK usage, and publishing processes

Internal Microsoft Collaboration

• Work across Microsoft teams including Windows Store, WinGet, Copilot, and platform engineering groups

• Identify the right internal stakeholders, escalate technical blockers, and drive solutions across siloed teams

• Support high-priority partner escalations in fast-moving, cross-functional environments

Documentation & Best Practices

• Create technical guides, internal playbooks, and reusable reference implementations based on partner learnings

• Document packaging best practices and onboarding standards for Microsoft teams and ISV partners

• Help establish scalable technical guidance for future partner onboarding

Partner Outreach

• Support outreach efforts to software vendors not yet publishing in the Microsoft Store

• Help qualify leads, follow up with ISVs, and support partner adoption initiatives

Required Experience
Strong Windows Ecosystem Background

• 5+ years of experience working with Windows applications and desktop software distribution

• Strong understanding of installers, drivers, OS-level APIs, software packaging, and Windows platform integrations

• Experience across Win32, .NET, UWP, WebView2, PWAs, or similar desktop architectures

Commercial Software Distribution Experience

• Background working at companies that ship and distribute commercial software products

• Exposure to packaging, deployment, signing, Store submission, and operating system integration

• Experience only building internal business systems is not enough for this role

Prototyping & Troubleshooting Mindset

• Ability to independently reproduce issues, create sandbox environments, and build reference implementations

• Strong problem-solving skills across low-level platform issues and technical ambiguity

Strong Communication & Ownership

• Comfortable working directly with clients and senior engineers

• Able to explain technical tradeoffs clearly and drive solutions proactively

• Strong ownership mindset with a bias toward action

Nice to Have

• Experience with MSIX, unpackaged apps, Xbox-to-Windows migration, PWA packaging, and Windows Store publishing

• Familiarity with installer technologies such as WiX

• Experience with GitHub Actions, SDK fixes, and CI publishing workflows

• Data pipeline literacy (Spark, Fabric, large-scale systems)

• Experience using AI tools like Copilot for prototyping and workflow acceleration

• Previous Microsoft experience is a strong plus
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Senior Software Development Engineer in Testing 

Job Description: We are looking for a Senior Software Development Engineer in Testing to join our team. The ideal candidate will have extensive experience in designing and implementing automated testing solutions. As an SDET, you are an expert in the field of test automation, using your expertise to advocate for best practices, coach other SDETs, and implement test frameworks from the ground up. Your experience and leadership will shape the foundation of the test automation framework.

Responsibilities:

• Implement test automation of architectural framework and integrated components.
• Write comprehensive testing suites for large scale, complex systems.
• Execute automated test cases and analyze results.
• Identify, document, and track software defects.
• Collaborate with development teams to ensure quality throughout the software development lifecycle.
• Stay updated with the latest industry trends and technologies.
• Own the test automation of complex projects or features for the full project lifecycle.
• Execute on complex test plans and collaborate with QA and development team for feedback.
• Write automated test coverage for complex security and performance problem areas.
• Create opportunities for self-improvement outside of normal testing scope.
• Guide and define CI/CD pipeline design and execution.
• Guide automation test strategy at all levels of application architecture.
• Interested in improving quality and accelerating delivery as a partner to engineering teams.
• Experience mentoring testers and developers to improve how teams test whether there are testers on the team or not.
• Experience implementing or working in a team that uses Continuous Delivery, TDD, Pair Programming
• 2+ years in a senior or lead role.
• Experience implementing BDD, TDD, Acceptance Test Driven Development a plus
• Good understanding of Holistic Testing, Agile Testing, Modern Testing, Continuous Delivery or similar model based around testing through the entire process and whole team ownership of testing and quality.
• Experience improving  QA and Dev process end to end including agile practices and monitoring/logging in production.
• Skill in writing tests and test automation that is fast, reliable, maintainable, and supports the ability to make changes safely. 
• Builds test code to the same standard as production code
• Believes that developers can test if they are given the tools, time, and taught the skills. 

Requirements:

9+ years in the software development field  in a a professional environment and/or comparable experience such as:Wide breath of engineering experience.Proven experience leading teams of engineers.Hands-on expertise with application design, software development, and automated testing.Experience with distributed (multi-tiered) systems, algorithms, and relational databases.Bachelor’s degree in computer science, computer science engineering, or related experience required; advanced degree preferred.Java: 4+ years.Automation 6+ yearsJavaScript: React preferred Database experience.

Desirable:

• Proven experience leading and mentoring quality assurance teams, including setting technical direction and driving execution across multiple initiatives.
• Deep understanding of authorizations domain and industry standards (e.g., OAuth2, OpenID Connect, SAML).
• Expertise in  distributed systems with a focus on performance, scalability, and security.
• Experience in implementing authentication and authorization flows within enterprise-scale applications.
• Cloud experience
• FinTech, Banking domain knowledge.
• Familiarity with modern DevOps practices and CI/CD pipelines.
• Strong collaboration and communication skills, with experience engaging cross-functional teams including product, design, and infosec.

Tech Stack: 

• Db2 (POA Postgres)
• SOAP (POA REST)
• REST via OneData powered by Vertex
• ETL via Ab Initio (POA Spark)
• Java
• gRPC
• Microservices
• On-prem/Cloud

Advanced English: Excellent verbal and written communication skills in English.

Location: Argentina or Mexico City 

We are looking for a hands-on Senior Data Engineer to join a small team (2 Data Engineers + 1 Data Analyst). You will help scale our AWS-based data infrastructure, working primarily with industrial data sources and high-volume time-series data.

Responsibilities Will Include:  

• Engage directly with end users to understand how they consume data, and design solutions that serve their needs.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time processing, including high-frequency time-series ingestion.
• Evolve the Data Lakehouse—optimizing storage, performance, and data consistency.
• Manage orchestration workflows with complex dependencies and error handling.
• Implement data governance, security controls, and audit policies across the AWS ecosystem, leveraging services such as AWS Lake Formation for centralized data lake permissions and governance.
• Optimize performance and cost (FinOps); identify and resolve technical bottlenecks.
• Partner with the Data Analyst to deliver production-ready, analytics-optimized datasets.
• Build monitoring, alerting, and data quality testing for platform reliability.

Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related discipline is required.
• At a minimum, 5+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Deep hands-on experience with core AWS data services: Glue, Athena, Step Functions, Lambda, Kinesis, and Lake Formation.
• Hands-on experience with Apache Iceberg (required).
• Expert proficiency in Python (PySpark / Python Shell) and advanced SQL (window functions, CTEs, execution plan tuning).
• Solid grasp of ETL/ELT tooling and dimensional modeling best practices (Kimball).
• Experience preparing data architectures for visualization tools and operational/management reporting.
• Practical experience with NoSQL engines (e.g., DynamoDB) and relational SQL databases.
• Infrastructure as Code: Terraform or AWS CloudFormation.

Preferred Experience:

• Apache Airflow (MWAA experience preferred) or native AWS orchestration.
• Familiarity with dbt, Airbyte, or Fivetran.
• Experience automating CI/CD for Glue jobs or Lambda deployments.

Soft Skills:

• Senior peer mindset—leads through code reviews and mentorship, not hierarchy.
• Pragmatic decision-maker who picks the right tool for cost, efficiency, and project needs.
• Strong ownership of end-to-end data quality and system availability.
• Clear communicator who can translate business needs into technical solutions. 

The Opportunity

This is a senior technical client leadership role that blends deep hands-on ML expertise with strategic advisory and consulting skills. You will be the most experienced ML voice across a diverse and expanding book of customer engagements — from early-stage companies bringing ambitious ML ideas to market, to established enterprises modernizing how they build and operate AI systems on AWS.

You will shape strategy, influence architecture, and leave every team you touch better than you found it. You bring the scientific depth to design and evaluate models rigorously, the engineering depth to architect production ML systems at scale, and the consulting instincts to translate both into business value for customers.

If you have led the hard conversations, shaped the architecture decisions that mattered, and built the things others benchmark against — and you are looking to do that across a growing portfolio of varied and interesting customers — this is the role for you.

What You'll Do

• Lead end-to-end ML assessments across infrastructure, data pipelines, model lifecycle, and organizational readiness — producing recommendations that drive executive decision-making and earn Caylent the next engagement.
• Partner with sales and solutions teams through the proposal and scoping phase, contributing the technical depth needed to shape well-grounded statements of work.
• Serve as the senior technical authority on client engagements — possibly across multiple projects simultaneously — providing architectural guidance, ensuring technical quality from your project team members, and getting hands-on when the engagement demands it, without owning day-to-day implementation responsibilities.
• Own or orchestrate high-quality POCs that give customers confidence before committing to a larger initiative.
• Advise customers on ML operations standards and architecture — covering MLOps pipeline design, model lifecycle management, LLMOps patterns, and production monitoring frameworks — translating operational complexity into decisions and guardrails their teams can own and sustain.
• Shape how Caylent wins its most technically complex opportunities — contributing the architectural thinking and credibility that turns prospects into customers.
• Strengthen the ML practice from the inside — through peer guidance, technical interviews, and contributions to accelerators, reference architectures, and thought leadership content.

What You Bring

The non-negotiables

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether traditional ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards and decisions that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization (quantization, vLLM), and distributed training (DeepSpeed, FSDP) — combined with RAG and agentic system design, including multi-agent architectures, event-driven workflows, MCP integration, and human-in-the-loop patterns on AWS. Technical authority to prescribe the right approach and set architectural standards that teams can execute against.
• Proven ability to operate independently in complex customer environments — navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Hands-on experience designing and deploying SRE agents and AI-driven operations workflows in production — spanning automated incident detection, triage, and remediation — with the ability to integrate across observability platforms and translate AI operations outcomes into measurable business value.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI

AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)

Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts

AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly

Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue

Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate

Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama

MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness

LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation

Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers.  We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.  You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

• Work with a team to deliver machine learning solutions on AWS for customers
• Participate in and contribute to daily standup meetings
• Develop and implement ML models, MLOps, and analytics
• Big data processing and preparation of training data for models

Your Qualifications

• Strong experience in building ML models for real world applications
• Strong experience in at least one of these:
• AWS ML Services/SageMaker
• ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
• MLOps tools such as MLflow, Kubeflow, Airflow
• Advanced analytics using time series forecasting and/or inferential statistics
• Strong experience in one or more of these data processing solutions:
• Big data processing platforms like Spark, Hadoop, or streaming platforms
• Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
• Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
• Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
• Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
• Excellent written and verbal communication skills

Benefits 

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs. 

The Mission

We are seeking an Engineering Manager for our Cloud Data Engineering Practice. The right candidate is someone who is technically strong, can manage a team of Architects and Engineers, oversee data delivery engagements and is passionate about working with our customers, partners and employees to drive the business forward.

Your Assignment

• Manage a team of 5 - 8 cloud engineers and architects
• Interface with clients and internal teams to propose technical improvements using your cloud and engineering knowledge
• Take on hands-on technical responsibilities, including technical tasks in sprints 
• Lead technical discussions with customers
• Handle code reviews and pull request management
• Manage task assignments within sprints
• Perform technical leadership activities like roadmap and vision checks, best practices implementation, and risk identification
• In-project mentoring (understand people on project & creation of growth opportunities) and sharing feedback for team members on the project
• Technical accountability on the delivery
• Kickoff new client engagements and act as a point of technical escalation
• Develop and review proposals and contracts and present these to clients
• Perform technical interviews for Architect and Engineer candidates
• Perform weekly 1:1s with your direct reports and guide their career development
•  

Your Qualifications

• Strong experience in AWS data landscape
• Expertise in at least two major areas of Cloud Data Engineering:
  • Relational database design, optimization and migration
  • Big data processing using Spark, Hadoop, EMR etc
  • Machine Learning and MLOps
  • Advanced analytics using time series forecasting, descriptive and inferential statistics
  • BI dashboards and visualizations
  • Data Governance and MDM
• Experience with most of these:
  • Infrastructure as Code tools
  • CI/CD pipelines
  • Application modernization and migration with a strong focus on databases
• Excellent written and verbal communication skills

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development

Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.   

We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description:

We are looking for a Senior Full-Stack Developer with expertise in React and heavy focus in Java to join our team. The candidate will oversee all technical aspects of our authorization layer that powers not only the global application but also over 70+ mission critical servicing applications. The successful candidate will focus on implementing our Point of Arrival (POA) authorization layer and delivery of features and enhancements for the entire global registration portfolio, including a top priority compliance initiative for our org.

Requirements:

• 10+ years of software development experience in a professional environment and/or comparable experience such as:
  • Wide breath of engineering experience.
  • Proven experience leading teams of engineers.
  • Hands-on expertise with application design, software development, and automated testing.
  • Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
  • Bachelor’s degree in computer science, computer science engineering, or related experience required; advanced degree preferred.
  • Deep understanding of authorizations domain and industry standards (e.g., OAuth2, OpenID Connect, SAML).
  • Java: 7+ years.
  • React: 3+ years.
  • RDBMs: 2+ years.
•  Advanced English proficiency is required (Excellent verbal and written communication skills).

Desirable:

• Proven experience leading and mentoring engineering teams, including setting technical direction and driving execution across multiple initiatives.
• Expertise in designing and developing distributed systems with a focus on performance, scalability, and security.
• Experience in implementing authentication and authorization flows within enterprise-scale applications.
• Database migration experience.
• Cloud experience.
• FinTech, Banking domain knowledge.
• Familiarity with modern DevOps practices and CI/CD pipelines.
• Strong collaboration and communication skills, with experience engaging cross-functional teams including product, design, and infosec.

Tech Stack: 

• Db2 (POA Postgres)
• SOAP (POA REST)
• REST via OneData powered by Vertex
• ETL via Ab Initio (POA Spark)
• Java
• gRPC
• Microservices
• On-prem/Cloud

📍 Location

• México City — Hybrid Position (office presence required) 
  Candidate will be expected to come into the office at least 2 days per month in Mexico City.
  
  or 
  
  
• Argentina - Hybrid Position (office presence required) 
  Candidate will be expected to come into the office at least 2 days per month in Argentina.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental.

Job Description: Machine Learning Engineer

We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling.

Responsibilities

• Model Development & Deployment: Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience.
• Continuous Improvement: Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops.
• Architecture & Scalability: Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines.
• Cross-functional Collaboration: Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment.
• Operational Excellence: Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability.
• Innovation: Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge.

Requirements

• Education: Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
• Experience: 3+ years of experience designing, building, and operating production-scale machine learning systems.
• Technical Mastery: Expert-level programming in Python with extensive experience using PySpark and distributed data platforms (e.g., Databricks) for large-scale datasets.
• Deep Learning & Frameworks: Strong experience with Scikit-Learn, MLlib, and PyTorch, including regression, time series, clustering, and deep learning.
• Distributed Systems: Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs).
• Data & Cloud: Strong SQL expertise and experience deploying ML workloads to AWS (EC2, S3, DynamoDB, Lambda).
• Ops: Experience implementing MLOps / LLMOps practices.

Key Competencies

• Ownership: Ability to manage strategic initiatives in a rapidly evolving QSR environment.
• Adaptability: Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.
• Outcome-Oriented: Focus on analyzing and visualizing data to drive continuous improvement across the business.
• Professionalism: Maintain transparency and professionalism in communication within the team and with stakeholders.

📍 Location

• Flexible / Remote options available.

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

The Governance team at Domino is aimed at making Domino become the leading platform that enables enterprises to govern their AI projects effectively and efficiently. This is meant to  support innovation cycles for our customers, while allowing them to build models and outputs responsibly and safely.

The Data Product team at Domino is responsible for developing the integrations with services, systems and sources that data scientists rely on for their model development and analytics work. Our mission is to make access to data seamless and comprehensive such that data scientists can incorporate data into their workflows without worrying about how. We take satisfaction in making sure that data scientists can derive insights and produce predictions knowing that they have the full availability of data without worrying about engineering complexity.

The two teams have been working interchangeably and smoothly to fulfill their respective missions.

What your impact will be

In your first year, you will:

• Design and develop software solutions that improve Domino’s user experience with regards to the new, highly-sought Governance feature
• Extend and contribute enhancements to the open-source software powering Domino
• Create technical designs and clearly communicate them to cross-functional stakeholders
• Enable fellow engineers to achieve high quality through design and code reviews
• Work with product managers to ensure solutions are well planned and delivered on-time

What we look for in this role

• 5+ years of experience in backend development, especially in distributed computing with Hadoop, Spark, Kafka
• Experience in API design and development, e.g. RESTful APIs, GraphQL and similar, with a focus on integrating backend and front-end systems
• Strong proficiency in Java, Scala, Go, or Python, dedicated to building high-performance backend solutions
• Skilled in enhancing backend performance in cloud environments, well-versed in Docker, Kubernetes, and CI/CD practices.
• Experience building production grade software, preferably in Scala or Go.
• Comfortable in dynamic, fast-paced settings, possessing strong problem-solving skills and a comprehensive understanding of system design and architecture
• Strong familiarity with service-oriented architecture (SOA), adept at designing and developing modular, maintainable services for seamless system integration
• Ability to work independently and be a reliable teammate

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

The Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey. From development and training to deployment and management, we empower teams to turn data into actionable insights. Our platform supports:

• Seamless API Integration: Deploy models as APIs for consistent use across applications, whether on-premises, in enterprise infrastructures, or through third-party hosting.
• Collaboration and Discoverability: Use our model registry to version, store, and easily find models across the organization.
• Scalable Training Resources: Leverage advanced tools like GPUs, Ray, and Spark to meet the needs of diverse AI projects.

By supporting organizations in developing, registering, and scaling AI models, we enable impactful insights and innovation across the enterprise.

What your impact will be

In your first year, you will:

• Integrate model monitoring to provide a holistic view of deployment health and performance
• Enhance tagging capabilities across Domino entities to improve discoverability and tracking
• Expand LLM hosting capabilities to address customer needs for scale, performance, and logging
• Innovate within our Domino Apps offering by incorporating feature requests from major customers

What we look for in this role

• Building Scalable Systems: Hands-on experience developing and managing high-performance back-end systems in distributed computing environments
• Collaboration Across Teams: Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services
• API Development: Designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
• Performance Optimization: Profiling and optimizing back-end performance, especially in cloud environments or with container technologies like Docker and Kubernetes.
• Testing and CI/CD: Using robust testing frameworks (unit, integration, end-to-end) and setting up CI/CD pipelines
• ML Model Deployment: Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow is a big plus
• Distributed Computing: Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus
• Cloud Platforms: Proficiency with cloud providers (AWS, Azure, GCP) and deploying services in these environments
• Back-End Development: Expertise in languages such as Python, Java, Scala, or Go

What we value

• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

About the Role

This role requires high-level autonomy, where you will define your own direction within strategic goals, influence multiple teams, and navigate high complexity and ambiguity to deliver tangible business results. You will bridge the gap between technical innovation and real-world business challenges by applying advanced statistical and machine learning techniques to build predictive models and derive actionable insights.

What we are looking for

• Experience & Education: Bachelor's degree in Computer Science or Engineering with 8–12 years of relevant experience leading complex technical projects with multi-team impact.
• Advanced ML & Statistics: Expert capability in designing end-to-end ML systems for complex problems (including imbalanced data and concept drift), applying advanced statistical methods (mixed models, survival analysis, Bayesian approaches), and demonstrating a deep understanding of causal inference techniques, experimentation design (A/B testing, MABs), and deep learning architectures for unstructured data (e.g., NLP, Computer Vision).
• Core Technology Stack: Expertise in Python (including libraries like Pandas and NumPy) or R, proficiency with cloud platforms and their data/ML services (e.g., AWS Sagemaker, GCP Vertex AI, Azure ML Services), experience with big data technologies (e.g., Spark, Hadoop), and familiarity with MLOps tools (e.g., Kubeflow, MLflow, Docker).
• Business Immersion: Proven ability to immerse in operations to acquire deep domain expertise, thinking like an insider to translate seamlessly between business needs and engineering solutions.
• Full-Stack Agility: Ability to build complete applications rapidly across any technology stack, selecting the right tools to balance technical debt with delivery speed.
• Data Strategy & Integration: Experience architecting scalable data strategies across diverse teams and complex enterprise landscapes. This includes defining data governance policies, mastering data quality frameworks, building robust integration solutions for undocumented schemas and disparate systems, and driving the adoption of modern data warehousing and lakehouse architectures.
• AI Evaluation & Governance: Experience leading AI governance initiatives, creating evaluation standards, and training teams on rigorous AI verification and risk management.
• Rapid Prototyping: Proficiency in leading rapid delivery initiatives using a prototype-first approach to validate solutions quickly before scaling.
• Problem Discovery: A track record of seeking out undefined problems, embedding with users to discover latent needs, and turning ambiguity into clear problem statements.
  
  

Who you are

• Polymath Oriented: You bridge gaps between engineering, design, business, and science, rapidly immersing yourself in new domains to speak the language of the business.
• Curious Explorer: You seek out ambiguity rather than avoiding it, driving team curiosity through challenging questions and creating an environment that encourages experimentation.
• Outcome Owner: You drive an accountability culture focused on business impact rather than just deliverables, owning relationships and making trade-offs between custom solutions and generalizable work.
• Systems Thinker: You map complex system interactions across technical and business domains, anticipating cascading effects and understanding how technology changes impact operations.
• Precise Communicator: You translate seamlessly between technical and business language, ensuring requirements are clear enough to enable AI generation and facilitate productive discussions with stakeholders.
• Problem Discoverer: You embed with users to discover latent needs, turning ambiguity into clear problem statements rather than waiting for defined tasks.

What Appnovation Offers 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

THE ROLE

You'll be the person ultimately accountable for the studio's success, measured by client satisfaction, team performance, creative quality, and commercial health. This is a role that sits at the intersection of client services, leadership, strategy, and commercial management. You won't be in the day-to-day detail of every project, but you'll have clear oversight of what's moving through the studio, and you'll set the standard for how the team operates, collaborates, and delivers.

We're looking for someone with a strong agency background who understands the complexities of working embedded within a major global brand. Someone who can partner with Brand Directors and senior marketing leaders as a trusted adviser, not just a service provider. Someone who can develop, coach, and inspire a multi-disciplinary team while keeping a sharp eye on commercial performance and growth opportunities.

Success means a client team that sees the studio as an indispensable partner, a studio team that is motivated, developing, and delivering its best work, and a commercial position that is healthy, growing, and clearly demonstrating value.

WHAT YOU'LL DO

Client Partnership

• Act as the senior client lead for the studio, building strong, trusted relationships with Brand Directors, senior marketing leaders, and key stakeholders.

• Partner with the client as a long-term strategic adviser, contributing to the development of brand and marketing strategy, not just executing briefs.

• Be the escalation point for any client issues, approaching problems with a solutions-focused attitude and resolving them quickly while protecting both the relationship and the team.

• Challenge the client constructively when needed, negotiating to create outcomes that work for both the brand and the studio, while maintaining a positive, productive partnership.

• Ensure the studio consistently delivers to the expected levels of client service, quality, and responsiveness.

Leadership and Team Development

• Lead the studio team by example, line managing senior team leads across social, creative, strategy, production, and content.

• Develop, coach, and guide team leads and their teams to consistently add value, challenge briefs, and deliver outstanding social-first creative work.

• Maintain oversight of the studio's work-in-progress and project pipeline, directing teams to deliver without being pulled into the day-to-day management of individual projects.

• Spot potential in your team members, support their growth, and create an environment where people are motivated, accountable, and producing their best work.

• Foster a studio culture that is collaborative, inclusive, and grounded in creative ambition and operational excellence.

Growth

• Be responsible for growing the studio's offering, proactively identifying opportunities to expand the scope of work, push capabilities, and increase the studio's value to the client.

• Build relationships with senior stakeholders beyond the immediate brand team, keeping the studio front of mind for new briefs, projects, and strategic needs across social, content, creative, and data.

• Advocate for the studio's capabilities in social-first creative, content production, creator partnerships, strategy, and data and insight, pushing to extend the studio's role from production into more strategic and upstream work.

• Identify emerging client needs and market trends, positioning the studio to respond with relevant, compelling proposals.

Operations and Commercial Management

• Manage the studio's P&L, forecasting operational income and tracking commercial performance against targets on a regular basis.

• Ensure the team works to established processes, while challenging and refining ways of working to improve efficiency, effectiveness, and output quality.

• Oversee resource planning and allocation across the studio's workstreams, ensuring the right people are on the right work and capacity is managed sustainably.

• Report on studio performance, commercial health, and growth to senior management with clarity and accountability.

WHAT YOU BRING

• 10+ years of relevant agency experience, with a significant portion in client services, account leadership, or business management roles.

• Proven experience leading teams of 15+ people across multi-disciplinary functions, including creative, social, content, strategy, and production.

• A track record of building and maintaining trusted partnerships with senior clients at Brand Director or VP level within major consumer brands.

• Experience working with large FMCG or beauty and personal care clients, with a strong understanding of how global brand organisations operate.

• A strong grounding in the commercial management of accounts, including P&L responsibility, forecasting, scope management, and growth planning.

• Demonstrated ability to grow accounts and expand studio scope, identifying and converting opportunities that extend the offering beyond production into strategy, creative, and data.

• Experience developing, coaching, and leading senior team members, with a track record of building high-performing, motivated teams.

• Strong strategic thinking, with the ability to contribute meaningfully to brand and marketing strategy conversations, not just operational delivery.

• The ability to balance oversight and delegation effectively, maintaining visibility of the studio's output without getting caught in day-to-day project detail.

• A solutions-focused approach to problem-solving, with the composure and judgement to handle escalations, shifting priorities, and complex stakeholder dynamics.

• Experience working in an in-house agency, embedded studio, or on-site model is a strong advantage, with an appreciation for the nuances of working within a client's organisation daily.

• Professional proficiency in English; additional languages are a plus.

Gen AI and Agentic Thinking

• A strong understanding of how Gen AI tools and capabilities are changing social content creation, creative production, and marketing strategy, with the ability to articulate this to clients and guide teams accordingly.

• Agentic leadership mindset: a systematic approach to complex business challenges, identifying the most effective path forward and enabling the team to execute with clarity and accountability.

• Experience guiding or sponsoring the adoption of AI tools and workflows within a creative or content studio, with a focus on practical value, responsible use, and client confidence.

• The ability to position AI capability as a growth lever for the studio, incorporating it into proposals, scope discussions, and strategic conversations with the client.

• Understanding of AI limitations and the importance of balancing technology with human creativity, judgement, and oversight.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Experience specifically leading social-first or content-led studio operations.

• Multi-market or global account leadership experience.

• A background that includes creative, strategy, or production roles before moving into client services and leadership.

• Experience with transformation programmes, studio stand-ups, or capability building within embedded agency models.

• Familiarity with social analytics, performance measurement, and data-led decision-making at a strategic level.

#OLATAM #REQID16844

THE ROLE

You'll be one of the key creatives behind social content, producing work that makes the brand one of the most engaging and trusted voices online. This isn't about polished ad campaigns adapted for social. It's about content that feels native to each platform, content that resonates because it reflects real people, real moments, and real conversations.

Working at the intersection of brand purpose and social culture, you'll create content that sits naturally alongside the creators, conversations, and trends your audience already follows. You understand that the most effective brand content doesn't feel like brand content at all. It feels honest, relevant, and worth sharing.

We're looking for someone who is culturally plugged in, creatively resourceful, and comfortable producing content end to end. Someone who can spot a content opportunity, concept it quickly, produce it with care, and deliver it while it's still relevant. Success means content that people genuinely want to engage with, that strengthens brand affinity, and that drives saves, shares, comments, and conversation.

WHAT YOU'LL DO

• Concept, shoot, edit, and produce social-first content across TikTok, Instagram Reels, YouTube Shorts, Stories, static, and emerging formats.

• Develop content ideas that translate brand purpose and product messaging into authentic, platform-native moments that audiences relate to and want to share.

• Create lo-fi, high-impact content using a mix of smartphone, DSLR, and simple lighting and production setups, prioritising authenticity over polish.

• Storyboard and present content concepts, clearly articulating the creative idea and platform rationale.

• Stay current with social trends, viral formats, platform features, creator culture, and emerging content styles, flagging relevant opportunities to the team and translating them into content ideas.

• Produce reactive and real-time content that connects the brand to cultural moments and trending conversations while staying true to its voice and values.

• Edit and adapt content across formats and platforms, reimagining a single shoot or asset in multiple ways to maximise reach and relevance (using Premiere Pro, CapCut, and native platform editing tools).

• Collaborate with social media managers to align content with publishing calendars, campaign timelines, and community engagement priorities.

• Support shoots and content production involving content creators, influencers, and real people, ensuring the process is inclusive, respectful, and representative.

• Experiment with new formats, techniques, and creative approaches, sharing what works and what doesn't with the wider team.

• Use Gen AI tools to support content creation, from ideation and visual references to editing and copy exploration.

• Ensure all content meets platform specifications, brand guidelines, accessibility standards, and compliance requirements.

WHAT YOU BRING

• A portfolio demonstrating 2–4 years of social content creation, with examples of platform-native work that generated genuine audience engagement (shares, saves, comments, conversation).

• Technical confidence across the content creation process: concepting, shooting, editing, and publishing, with comfort moving between smartphone and DSLR setups.

• Solid editing skills in Premiere Pro, Canva, CapCut, or equivalent, with the ability to adapt content across formats and platforms.

• Fluency in social platforms (TikTok, Instagram, YouTube, and emerging channels), including an understanding of what performs, why, and how content is discovered and shared.

• A feel for cultural relevance, with the ability to spot trending moments, formats, and conversations and turn them into content ideas quickly.

• Experience creating content for consumer brands, with an understanding of how to communicate product or brand messages in a way that feels genuine and relatable rather than forced.

• The ability to work at social speed, managing your time and priorities to deliver quality content on tight turnarounds.

• A collaborative, proactive attitude, with a willingness to pitch in across different types of content and production needs.

• An interest in inclusive content creation, including authentic representation in casting, imagery, and storytelling.

• Professional proficiency in English; additional languages are a plus.

Gen AI and Agentic Thinking

• Basic proficiency with Gen AI tools (such as ChatGPT, Midjourney, Adobe Firefly, DALL-E) to support ideation, mood boarding, visual exploration, and content iteration.

• An agentic approach to your work: ability to self-organise, break down creative tasks, find efficient solutions, and deliver independently.

• Willingness to experiment with AI tools as part of the content creation process, understanding when they add value and when human creativity and judgement are needed.

• Understanding of AI limitations, with an eye for outputs that feel authentic versus generic.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Experience working on beauty, personal care, wellness, or lifestyle brands.

• Experience in an in-house agency, embedded studio, or social-specialist content team.

• Motion graphics or animation skills (After Effects or similar).

• Photography skills and experience with still content for social.

• Experience creating content that addresses topics such as body confidence, self-esteem, or inclusivity.

• Familiarity with social analytics and how performance data informs creative decisions.

• Experience with accessibility in content creation (captions, alt text, inclusive design).

• Experience working with or alongside content creators and influencers.

THE ROLE

You will be the creative lead for the local social studio, accountable for the quality, speed, and effectiveness of day-to-day output. You will guide teams from brief to delivery, shaping ideas, strengthening craft, and keeping work aligned to the global brand voice while making it culturally and contextually right for your market.

Working closely with the Global Social ECD, local marketing teams, strategy, account leadership, and producers, you will build a confident creative rhythm across planning, production, approvals, and optimisation. Success means consistently high-quality work, strong stakeholder trust, and a studio team that delivers sustainably.

WHAT YOU WILL DO

• Lead creative development for local social content and campaigns, from brief to final delivery.

• Translate global toolkits and creative territories into locally relevant ideas, formats, and executions.

• Set clear creative direction across concept, copy, design, motion, and film, improving quality through strong feedback and reviews.

• Build and maintain an effective local content system, including recurring formats, creator briefs, and platform-specific guidelines.

• Partner with strategy, social listening, and analytics to use insights to improve creative performance over time.

• Ensure the work is inclusive, culturally aware, and aligned to brand purpose and safeguards.

• Collaborate with local brand, media, PR, and legal stakeholders to deliver work smoothly through approvals.

• Guide production choices to balance craft, speed, and budget, and to support sustainable production where possible.

• Support and develop the local creative team, including freelancers, by creating clarity, coaching, and opportunities to grow.

• Escalate risks early, solve problems quickly, and keep delivery on track.

WHAT YOU BRING

• A portfolio demonstrating strong social-first creative work, including always-on and campaign content.

• Experience leading creative on brand social channels, with strong platform craft across formats and placements.

• Ability to direct and improve work across copy, design, and motion, with a clear eye for quality.

• Proven experience partnering with stakeholders and presenting work with clarity and rationale.

• Practical understanding of creative effectiveness on social, including attention, retention, brand cues, and distinctiveness.

• Confidence working in a studio model with multiple briefs, quick turnarounds, and clear prioritisation.

• Strong collaboration skills across strategy, account, production, and client teams.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Experience with creator content, UGC-style production, and briefing talent.

• Experience adapting global campaigns into market executions without losing the core idea.

• Familiarity with accessibility and inclusive design principles for social content.

#OLATAM #REQID16845

THE ROLE

You'll be the person who connects a brand with the creators who bring it to life in the most authentic, relatable way across social. This is a multi-faceted role that blends influencer strategy, relationship management, creative thinking, and project management. You'll develop and manage the creator community end to end, shaping how the brand partners with influencers and content creators to drive reach, engagement, and genuine advocacy.

We're looking for someone who understands that influencer marketing isn't about reach alone. It's about finding and partnering with creators whose audiences trust them, whose content feels real, and whose values align with the brand's commitment to inclusivity and authenticity.

Success means a thriving, well-managed creator community that delivers consistent, high-quality content, a programme that scales across markets, and influencer partnerships that feel as authentic to audiences as they do to the creators themselves.

WHAT YOU'LL DO

Creator Identification and Recruitment

• Identify, contact, and recruit creators on an ongoing basis, building a diverse community of influencers who authentically represent brand values and resonate with target audiences across platforms.

• Evaluate potential creator partners based on audience relevance, content quality, engagement authenticity, brand alignment, and representation of diverse voices.

• Maintain and manage a structured creator database, tracking tiers, content output, performance, and relationship status.

Community Management and Engagement

• Develop and manage the creator engagement programme, building genuine, long-term relationships with influencers rather than transactional, campaign-by-campaign partnerships.

• Manage ongoing communication and dialogue with the creator community, ensuring creators feel valued, informed, and connected to brand purpose.

• Create and distribute regular community communications, such as newsletters, updates, and exclusive content.

• Organise and support creator events, focus groups, and community moments that deepen relationships and generate insight.

• Ideate and produce creative product mailers and gifting activations that surprise and engage creators in ways that feel personal and on-brand.

Campaign and Content Activation

• Brief and manage creators for campaign activations, always-on content, product launches, and cultural moments, ensuring deliverables are on time, on brand, and aligned with platform best practices.

• Develop creative briefs for influencer content that give creators clear direction while leaving room for authentic, platform-native expression.

• Coordinate with the creative and social teams to ensure influencer content is integrated into broader content calendars and campaign plans.

• Track and record all creator content, ensuring proper usage rights, approvals, and compliance with advertising and disclosure regulations.

Performance and Reporting

• Report on influencer campaign performance, community growth, engagement metrics, and programme impact, using data to refine strategy and demonstrate value.

• Monitor creator content quality and audience response, identifying what's working and feeding learnings back into briefs and strategy.

• Track programme operations including newsletter engagement, event participation, and community health metrics.

Programme Development and Scaling

• Shape and refine the creator programme's processes, tools, and ways of working, building a model that is efficient, scalable, and replicable.

• Support the expansion of the creator programme into additional markets, adapting the approach for different regions, platforms, and audiences.

• Contribute to the wider studio's influencer strategy, sharing best practices and insights that raise the standard across the team.

Client Partnership

• Partner with brand stakeholders on influencer strategy, presenting programme updates, campaign results, and recommendations with clarity and confidence.

• Manage client feedback and approvals within the influencer workflow, keeping stakeholders informed and the process running smoothly.

WHAT YOU BRING

• 3–5 years of experience in influencer marketing or creator management, with a focus on consumer brands, ideally in beauty, personal care, wellness, or FMCG.

• A proven track record of identifying, recruiting, briefing, and managing influencers and content creators across TikTok, Instagram, YouTube, and emerging platforms.

• Experience building and maintaining ongoing creator communities or ambassador programmes, not just one-off campaign activations.

• Strong project management skills, with the ability to manage multiple creator relationships, campaigns, and workstreams simultaneously without dropping detail.

• An understanding of influencer contracts, usage rights, disclosure regulations, and compliance requirements.

• Creative thinking, with the ability to develop engaging briefs, gifting concepts, event ideas, and community activations that strengthen creator relationships.

• Confidence presenting to and partnering with brand clients, with clear and structured communication skills.

• Experience using influencer management platforms and tools (such as CreatorIQ, Traackr, Grin, or similar) and social listening or analytics tools.

• Strong analytical skills, with the ability to report on campaign performance, interpret engagement data, and translate findings into actionable recommendations.

• An authentic interest in creator culture and social platforms, with an understanding of what makes influencer content feel genuine versus forced.

• An appreciation for inclusive representation, with experience or a strong interest in working with diverse creators who reflect a broad range of backgrounds, identities, body types, and experiences.

• Highly organised, with a proactive, solutions-focused approach to managing complexity.

• Professional proficiency in English; additional languages are a plus, particularly if relevant to multi-market expansion.

Gen AI and Agentic Thinking

• Working proficiency with Gen AI tools (such as ChatGPT, Claude, Perplexity) to support creator research, brief development, reporting, and programme communications.

• Agentic mindset: ability to self-direct, prioritise across competing workstreams, identify opportunities, and find efficient solutions independently.

• Willingness to experiment with AI tools to improve influencer identification, content analysis, trend monitoring, and workflow efficiency.

• Understanding of AI capabilities and limitations, with a commitment to human judgement in relationship management, creative evaluation, and brand alignment decisions.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Experience in an in-house agency, embedded studio, or social-specialist environment.

• Multi-market influencer programme experience, with an understanding of adapting creator strategies across regions and cultures.

• Experience with influencer-led content production, including on-set coordination and creator direction.

• A background in social media management or content creation alongside influencer management.

• Experience working with creators on purpose-led or social impact campaigns.

• Familiarity with social commerce and affiliate-driven influencer models.

#OLATAM #REQID16847

THE ROLE

You'll be the strategic engine behind a brand's social presence, turning audience understanding, cultural signals, and platform data into briefs, frameworks, and recommendations that guide the creative team to produce stand-out work. Working across always-on content, campaign activations, creator partnerships, and reactive cultural moments, you'll ensure social output is strategically coherent and creatively ambitious.

We're looking for someone who can think at brand level and act at platform level, someone equally comfortable articulating a long-term content strategy as they are writing a sharp brief for a trending moment on TikTok. Success means social work that is rooted in real insight, aligned with brand purpose, and demonstrably effective in driving engagement, conversation, and brand affinity.

WHAT YOU'LL DO

• Lead social-first strategy, developing content strategies, campaign platforms, and always-on frameworks that connect brand purpose to audience behaviour on social.

• Mine consumer, cultural, and category insight to identify opportunities for the brand to show up meaningfully in social conversations and cultural moments.

• Translate platform data, social listening, and audience research into actionable creative briefs that give the team a clear strategic springboard.

• Develop audience and community strategies that deepen connection with diverse audiences across markets and platforms.

• Partner with the creative team to shape ideas from brief through to execution, providing strategic input that sharpens and elevates the work.

• Collaborate with social media managers to align strategic recommendations with publishing plans, platform priorities, and performance learnings.

• Inform creator and influencer strategy, identifying partnership opportunities that are authentic to the brand and relevant to target audiences.

• Present strategic thinking and campaign recommendations to brand stakeholders with clarity, confidence, and a strong point of view.

• Analyse social performance data and campaign results to refine strategy over time, building a continuous learning loop between insight, creative, and outcomes.

• Stay ahead of social platform evolution, emerging audience behaviours, cultural trends, and competitive activity in beauty and personal care.

• Mentor and develop junior strategists within the studio, building strategic capability and fostering a culture of curiosity and rigour.

• Shape strategic processes and tools for the studio, including briefing templates, insight frameworks, and reporting approaches suited to social-speed workflows.

WHAT YOU BRING

• 8+ years of strategy experience, with a significant focus on social-first or digital-first work for consumer brands.

• Deep understanding of social platforms (TikTok, Instagram, YouTube, and emerging channels), including how audiences behave, how content is discovered, and what drives engagement.

• A track record of developing strategies that led to effective, measurable social campaigns or content programmes.

• Experience in beauty, personal care, wellness, or FMCG, with a strong grasp of category dynamics, consumer motivations, and cultural context.

• Proven ability to turn research, data, and cultural observation into sharp, actionable briefs and strategic frameworks.

• Experience working with or briefing content creators and influencer partnerships as part of a social content strategy.

• Confidence presenting strategic recommendations to senior brand stakeholders, with the ability to simplify complexity and build conviction.

• Strong analytical skills, with experience using social listening tools, platform analytics, and audience research to inform strategy.

• A collaborative working style, with experience partnering closely with creative, production, and media teams.

• Experience mentoring or developing other strategists.

• Professional proficiency in English; additional languages are a plus.

Gen AI and Agentic Thinking

• Proficiency with Gen AI tools (such as ChatGPT, Claude, Perplexity, research assistants) to enhance insight generation, trend analysis, audience research, and strategic development.

• Agentic mindset: ability to deconstruct complex strategic challenges, map out the most effective approach, and execute with rigour and adaptability.

• Experience using AI to accelerate research, identify patterns in data, and stress-test strategic hypotheses.

• Understanding of AI capabilities and limitations, with strong critical evaluation of AI-generated insights and a commitment to human judgement and contextual nuance.

• Ability to guide teams in using AI tools responsibly and effectively within the strategic process.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Multi-market or global brand strategy experience, with an understanding of adapting social strategy across regions and audiences.

• Experience in a social-specialist, in-house, or embedded agency environment.

• Familiarity with social commerce, community management strategy, or earned media approaches.

• Experience with brand purpose, inclusion, or social impact strategy.

• Knowledge of the evolving regulatory and ethical landscape in beauty marketing.

#OLATAM #REQID16837

THE ROLE

You'll be one of the people who makes a brand's social presence happen, day in, day out. From content ideation, trend tracking and scheduling to community engagement, copy writing, and performance tracking, you'll manage the daily rhythm of social channels and ensure the brand shows up consistently and compellingly across platforms.

This is a role for someone who is organised, culturally-fluent, and genuinely enthusiastic about social media as a discipline. You understand what makes content work on TikTok versus Instagram versus YouTube, you can write copy that fits the tone of each platform, and you notice when something is trending before it peaks. We're looking for someone who is as comfortable managing a content calendar and pulling a performance report as they are drafting a reactive post or briefing a content creator on an emerging format.

Success means channels that run smoothly, content that consistently meets brand and platform standards, a community that feels listened to and engaged, and performance data that shows steady growth in reach, engagement, and brand affinity.

WHAT YOU'LL DO

Content Planning and Publishing

• Create and manage social content calendars across TikTok, Instagram and emerging platforms, ensuring a consistent cadence of planned, campaign, and reactive content.

• Schedule and publish content across platforms, ensuring every post meets brand guidelines, platform specifications, and accessibility standards (captions, alt text, format requirements).

• Write and adapt social copy for each platform, ensuring tone of voice is consistent, compelling, and native to the channel.

• Coordinate with the creative team and content creators to ensure assets are delivered on time, correctly formatted, and ready to publish.

• Support the Senior Social Media Manager in planning always-on content, campaign activations, and seasonal or product-launch moments.

Community Management and Engagement

• Monitor social channels daily, responding to comments, messages, and mentions in a timely, on-brand, and thoughtful manner.

• Engage proactively with audiences, fostering a sense of community and connection that reflects values of inclusivity and authenticity.

• Track trending topics, hashtags, cultural moments, and platform features, flagging relevant opportunities to the wider team and, where appropriate, drafting reactive content.

• Identify opportunities to surprise and delight audiences through creative engagement, timely responses, and community-building moments.

Performance Tracking and Reporting

• Track and report on social content performance across platforms, compiling regular reports on key metrics including reach, engagement, saves, shares, and audience growth.

• Use native platform analytics and social management tools to monitor content effectiveness, identify trends, and flag insights that can inform future content decisions.

• Support the Senior Social Media Manager and Data Analyst in building a continuous learning loop between content output and performance data.

Collaboration and Coordination

• Collaborate with content creators, designers, and copywriters to ensure social assets align with the content calendar and campaign objectives.

• Support the coordination of influencer and creator content within the publishing schedule, ensuring assets are approved, scheduled, and tracked.

• Work closely with the brand team on day-to-day social activity, keeping stakeholders informed of what's publishing, what's performing, and what's coming next.

• Support briefing processes, helping to translate client briefs and campaign objectives into clear direction for the creative team.

Platform Expertise and Trends

• Stay current with social platform updates, algorithm changes, new features, and emerging content formats, sharing relevant developments with the team.

• Contribute ideas for new content formats, series, and engagement approaches based on platform evolution and audience behaviour.

• Ensure the studio's content approach reflects the latest platform best practices for organic reach and engagement.

WHAT YOU BRING

• 3–5 years of experience in social media management for consumer brands, ideally in beauty, personal care, wellness, or FMCG.

• Strong platform fluency across TikTok, Instagram, YouTube, and emerging social channels, including an understanding of content formats, algorithms, audience behaviours, and publishing best practices.

• Experience managing social content calendars and publishing workflows across multiple platforms.

• Solid copywriting skills, with the ability to write platform-native social copy that reflects a brand's tone of voice and connects with diverse audiences.

• Experience with community management, including responding to comments and messages, engaging with audiences, and maintaining a consistent, on-brand presence.

• Familiarity with social media management tools (such as Sprinklr, Hootsuite, Sprout Social, or similar) and native platform analytics.

• The ability to track and report on social performance metrics, with a good understanding of what the numbers mean and how they inform content decisions.

• Strong organisational skills, with the ability to manage multiple workstreams, competing deadlines, and day-to-day publishing demands without losing attention to detail.

• A genuine interest in social culture, digital trends, and the evolving beauty and personal care landscape.

• A collaborative, proactive working style, with the confidence to flag opportunities, raise issues, and contribute ideas.

• Professional proficiency in English; additional languages are a plus.

Gen AI and Agentic Thinking

• Basic proficiency with Gen AI tools (such as ChatGPT, Claude, Copy.ai, Grammarly) to support copy drafting, content ideation, trend research, and reporting.

• An agentic approach to your work: ability to self-organise, manage priorities, find efficient solutions, and take initiative across a busy, multi-platform workload.

• Willingness to experiment with AI tools as part of the social workflow, understanding when they add value and when human creativity, cultural nuance, and community instinct are needed.

• Understanding of AI limitations, with an eye for outputs that feel authentic and on-brand versus generic.

Qualifications: Formal degrees are welcome but not required. Equivalent experience counts. Experience can be gained through work, study, volunteering, or self-directed learning.

NICE TO HAVE

• Experience in an in-house agency, embedded studio, or social-specialist environment.

• An editorial background or experience writing long-form and short-form content for social.

• Experience working with influencer or creator content within a publishing workflow.

• Familiarity with social listening tools and basic audience research.

• Experience with accessibility in social publishing (captions, alt text, inclusive content practices).

• An interest in or experience with brand purpose, inclusivity, or social impact in a marketing context.

• Familiarity with paid social amplification and how organic and paid content work together.

#OLATAM #REQID16849

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, Melbourne and a growing presence in Argentina, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in modern customer data infrastructure. As a Software Development Engineer, you'll join a collaborative engineering team to develop advanced data pipelines. You will create flexible marketing solutions, and integrate powerful AI capabilities helping our clients gain deeper insights and activate their data. You'll work on a world-class, mission-critical platform that sits at the heart of our customers' data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers
• Integrate our system into the operating core of the businesses we serve
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers
• Experience with infrastructure development and deployment using tools like Terraform, or CloudFormation.
• Experience with a platform-level team whose customers are other developers
• Excited about using functional languages (like Clojure!) in a production environment
• Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers' success

Technologies We Use

We don’t expect you to have experience with everything we use—but if you’re excited about learning, you’ll do great here. Our tech stack includes:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• Functional programming languages including Clojure, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, Melbourne and a growing presence in Argentina, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in cutting-edge customer data infrastructure. As a Senior Software Development Engineer, you’ll join a highly motivated and collaborative engineering team to develop advanced data pipelines, create flexible marketing solutions, and integrate powerful AI capabilities enabling our clients to gain deeper insights and activate their data strategically. You’ll work on a world-class, mission-critical platform that sits at the heart of our customers’ data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning.  If you’re excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers, and surface the most impactful insights.
• Integrate our system into the operating core of the businesses we serve.
• Change how marketers use their customer data.

About You

• 8+  years of experience developing commercial software systems
• Experience building applications on big data technologies such as Trino, Athena, or Spark
• You have been in a software engineering environment where you had to take ownership to get products and features released in a production environment.
• Experience with or willingness to participate in professional development activities to stay current on industry knowledge (like Clojure!) in a production environment.
• Stay informed about relevant technology trends and developments and investigate new technologies.
• Passionate about building elegant user experiences on top of complex technology.
• Team player, collaborative, inclusive, and inspired by your customers’ success.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, Melbourne and a growing presence in Argentina, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

At Amperity, we empower businesses to unlock the full potential of their customer data. Our clients are industry leaders making bold investments in cutting-edge customer data infrastructure. As a Software Development Engineer, you’ll join a highly motivated and collaborative engineering team to develop advanced data pipelines, create flexible marketing solutions, and integrate powerful AI capabilities enabling our clients to gain deeper insights and activate their data strategically. You’ll work on a world-class, mission-critical platform that sits at the heart of our customers’ data ecosystems, directly influencing how they understand and engage with their audiences.

As one of the first teammates building our footprint in Argentina, you’ll play a meaningful role in our growth and be part of shaping this new chapter from the beginning. If you're excited about working on complex challenges, driving innovation, and helping industry-leading brands thrive through data-driven strategies, we’d love to hear from you.

Interesting Problems

• Process and understand large amounts of structured and unstructured customer, product, and event data
• Building delightful, full-stack experiences and toolsets to help users visualize their data, understand their customers and surface the most impactful insight 
• Use the latest data science and AI advancements to build experiences that accelerate the time to value for data developers and marketers 
• Integrate our system into the operating core of the businesses we serve 
• Improve how marketers use their customer data

About You

• 5+ experience including 3+ years developing enterprise software 
• 3+ years of experience building applications on database technologies experience with big data technologies
• 3+ years working in a production environment. In this duration, you have shown an ability to get products and features released to customers 
• Excited about using or learning functional languages (like Clojure!) in a production environment
•  Passionate about building elegant user experiences on top of complex technology
• Collaborative, inclusive, and inspired by your customers’ success

Technologies We Use

We don’t expect you to have experience with everything we use—but if you’re excited about learning, you’ll do great here. Our tech stack includes:

• Large-scale data engines like Apache Spark, Presto, and Kafka.
• Functional programming languages including Clojure, ClojureScript, and the React ecosystem.
• Cloud-native infrastructure built with Kubernetes and Terraform, deployed across multiple cloud providers.
• Machine learning models and systems including random forests, logistic regression, and probabilistic databases.

Location

Argentina - Remote

This role is remote, with a small number of meaningful in-person gatherings designed to support alignment and collaboration.

Compensation & Benefits 

We offer a competitive compensation package, along with benefits designed to support your well-being and long-term growth. Our total rewards program includes base compensation, benefits, and the opportunity to participate in our company’s equity plan. 

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

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. 

Data Engineer

Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment.

In This Role, You Will:

Software Development

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources.
• Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing.
• Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis.
• Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes.
• Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows.

Requirements Gathering and Analysis

• Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions.
• Participate in requirement analysis sessions to understand business needs and user requirements.
• Provide technical insights and recommendations during the requirements-gathering process.

Agile Development

• Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews.
• Work closely with Agile teams to deliver software solutions on time and within scope.
• Adapt to changing priorities and requirements in a fast-paced Agile environment.

Testing and Debugging

• Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications.
• Write unit tests and validate the functionality of developed features and individual elements.
• Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements.
• Identify and resolve software defects, code smells, and performance bottlenecks.

Continuous Learning and Innovation

• Stay updated with the latest technologies and trends in full-stack development.
• Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications.
• Continuously seek opportunities to optimize and refactor existing codebase for better efficiency.
• Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Collaboration

• Collaborate effectively with cross-functional teams, including testers, and product managers.
• Foster a collaborative and inclusive work environment where ideas are shared and valued.

Skills and Experience We Value:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer, with a minimum of 3 years of experience.
• Proficiency in Python programming language.
• Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases.
• Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse, principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn.
• Utilities & Tools: logging, requests, subprocess, regex, pytest
• ELK stack, Redis, distributed task queues
• Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts.
• Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers.
• Familiarity with version control systems like Git and collaborative development workflows.
• Competence in working on Linux OS and creating shell scripts.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Effective communication skills, both written and verbal, and the ability to collaborate in a team environment.
• Adaptability and willingness to learn new technologies and tools as needed.

About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

• E - Empowering: Enabling individuals to reach their full potential.
• L - Leadership: Taking initiative and guiding each other toward success.
• I - Innovation: Embracing creativity and new ideas to stay ahead.
• T - Teamwork: Collaborating with empathy to achieve common goals.
• E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com