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.

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Para importante entidad del sector financiero y bancario en Colombia, buscamos un Desarrollador Java Back Semi Senior apasionado por el manejo de datos. Este rol es clave para el diseño y optimización de procesos batch de alta complejidad. Si tienes experiencia sólida en Java, te manejas bien con grandes volúmenes de información y te gusta resolver desafíos técnicos en entornos desafiantes, esta oportunidad es para ti. Ofrecemos modalidad 100% remota (desde cualquier lugar de Colombia).

Principales Responsabilidades:

• Diseñar, implementar y optimizar procesos batch y ETL de alta complejidad utilizando Java y Apache Spark.
• Trabajar con grandes volúmenes de información, asegurando la calidad, integridad y eficiencia de los datos.
• Mantener y evolucionar sistemas legacy, adaptándose a frameworks propietarios cuando sea necesario.
• Implementar pruebas automatizadas (JUnit) para garantizar la cobertura y estabilidad del código.
• Realizar troubleshooting y análisis de logs en ambientes productivos (DEV, UAT, PROD).
• Elaborar documentación técnica y funcional, facilitando la transferencia de conocimiento al equipo.

Requisitos del Puesto:

• Experiencia: Mínimo 3-5 años en desarrollo backend (Nivel Semi Senior).
• Lenguaje: Experiencia sólida en Java (preferentemente Java 17).
• Datos: Experiencia comprobada en procesamiento batch/ETL con Apache Spark (DataFrames, optimización de performance).
• Base de Datos: Dominio de SQL avanzado para modelado y transformación de datos.
• Herramientas: Manejo de Git, JUnit y entornos de integración continua.
• Ubicación: Residir en Colombia (Modalidad Remota).
• Habilidades Blandas: Pensamiento analítico, autonomía, capacidad de aprendizaje rápido y trabajo en equipo multidisciplinario.

Se Valora (Deseable):

• Experiencia en migración de procesos legacy a Spark.
• Conocimiento en herramientas de orquestación (Control-M, Airflow).
• Experiencia previa en el sector banca/finanzas.
• Conocimientos en observabilidad y calidad de código (Sonar).

Ofrecemos:

• Salario competitivo.
• Medicina prepagada.
• NEORIS Days (3 días libres).
• Fondo de Empleados.
• Bonificación por cumplimiento anual.
• Bono vacacional.
• Herramientas corporativas.
• Plataformas de capacitación y entrenamiento.
• Trabajo modalidad remoto 100% para Colombia

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Joseline Roca

#LI-JR1

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

Important Information 

Location: Peru

Work Mode: Hybrid

Job Summary 

As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.