Field Engineer

Nosotros; Argentina; Presencial; ARS 42.742.000 - 71.238.000; Jornada completa

Descripción de la vacante

A global organization is seeking a Field Engineer to act as a technical partner among quality, operations, sales, and engineering teams. Ideal candidates will have a Bachelor's degree and at least 2 years of engineering experience, with a strong problem-solving ability and a customer success mindset. The role emphasizes collaboration and the execution of complex technical solutions, making it perfect for those passionate about technology and improvement.

Servicios

Inclusive culture

Career growth opportunities

Formación

• 2+ years of engineering experience, ideally in a client-facing setting.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Understanding of NLP concepts and techniques is a plus.

Responsabilidades

• Serve as a technical bridge and advisor between teams.
• Plan and execute complex technical solutions.
• Collaborate with stakeholders to identify pain points.

Conocimientos

Problem-solving skills

Communication skills

Collaboration skills

Curiosity

Customer success mindset

Educación

Bachelor's degree in Engineering or Analytics

Herramientas

Python

Cloud platforms (AWS, GCP, Azure)

APIs

Descripción del empleo

We are looking for a Field Engineer who is passionate about customer success, operational efficiency, and quality optimizations. In this role, you will act as a technical partner and bridge between quality, operations, sales, and product engineering, helping teams plan, build, and execute complex technical solutions and automations. You’ll work directly with operations stakeholders to develop integrations, automation workflows, and self-serve tools that improve efficiency and scale operations. This role is ideal for someone who thrives at the intersection of engineering and people success, combining technical expertise with a deep understanding of customer needs to drive impact.

What You’ll Do

• Serve as a technical bridge and advisor between quality, ops, sales, engineering, and customer-facing teams, ensuring smooth collaboration and alignment.
• Act as a technical advisor and liaison, simplifying complex topics for both technical and non-technical audiences.
• Plan and execute complex technical solutions that support customer and internal team success and reduce manual work.
• Troubleshoot and optimize enterprise and platform integrations to ensure seamless data flows and data exchange.
• Collaborate with both highly technical stakeholders and non-technical users to identify pain points and translate them into actionable engineering tasks.
• Create scalable, self-serve solutions that empower internal teams to handle common technical tasks independently.
• Design and implement programmatic quality checks to improve data consistency and accuracy.
• Proactively identify issues, propose solutions, and lead small projects to implement them end to end.
• Contribute to data quality and consistency through thoughtful system design and programmatic validation.

What We Are Looking For

• Strong problem-solving skills with the ability to plan and execute complex technical solutions.
• Excellent communication and collaboration skills with the ability to work across multiple teams.
• Curious and self-driven, with a strong desire to learn and adapt to new technologies and challenges.
• Experience working with APIs, data pipelines, and automation frameworks.
• Customer success mindset, with a passion for helping internal teams and customers succeed.
• Ability to translate operational concepts into actionable solutions for both technical and non-technical stakeholders.
• Experience with cloud platforms (AWS, GCP, or Azure) and data processing tools is a plus.

Requirements

• 2+ years of engineering experience, ideally in a client-facing setting.
• Curiosity and desire to learn.
• Bachelor's degree with an engineering or analytics focused field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Python Experience with C# is a plus.
• Understanding of NLP concepts and techniques would be a plus.
• Passion for AI and ML technologies, with a history of exploring new concepts and techniques.

About the company: Founded in 2005, tbo. is a global organization that provides translation, talent, training, teams and testing services to a full range of clients in over 40 countries worldwide, from startups to enterprise-level companies. tbo. aims to facilitate global communication by bridging the gap between peoples and cultures, providing simple solutions to complex problems, and outstanding service in 100+ languages.

tbo. fosters a culture of continuous improvement, creativity, sustainability and community, with a longstanding commitment to providing high-touch human service. The company is ranked as one of the fifteen fastest organically growing localization companies in the world and operates 24/7, 363 days a year on a “follow the sun” format via offices in Cordoba, Ho Chi Minh City, Kyiv and Lima. Certified under five separate international quality norms.

Join our growing staff and boost your career in a global organization! At tbo., we believe that fostering an inclusive culture and a diverse environment makes us stronger. We are an equal opportunity employer, dedicated to creating a space where everyone can thrive and grow. We are committed to ensuring our hiring processes are fair, transparent, and in compliance with all legal and policy requirements, promoting a workplace free from discrimination.