TU PRÓXIMO CAPÍTULO
Implementation Engineer – Technology Industry
Sobre el puesto
• Own implementation workstreams end-to-end, from technical scoping and planning through configuration, testing, and go-live.
• Build and configure integrations between the platform and tools used by agencies and customers, including Figma, Slack, Microsoft Teams, Adobe, and performance dashboards.
• Evaluate integration approaches, data mappings, configuration requirements, and technical trade-offs, providing well-reasoned recommendations.
• Collaborate with Product, Engineering, and agency stakeholders throughout implementation and rollout activities.
• Identify and proactively communicate technical risks, blockers, dependencies, and trade-offs.
• Understand customer and agency data environments, workflows, and pain points to design tailored onboarding and implementation solutions.
• Support repeatable implementation playbooks, technical documentation, training materials, and onboarding processes.
• Help onboard and informally mentor junior implementation engineers.
• Leverage AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks.
• Orchestrate multi-step AI and agent-driven workflows, selecting appropriate models, tools, and execution patterns.
• Review and harden AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit.
• Support prompts, evaluation frameworks, documentation, and operational context systems that improve engineering velocity and reliability.
• Contribute to automated evaluation and feedback loops for AI-enabled systems and workflows.
• Stay current with evolving platform capabilities, APIs, integration patterns, and AI tooling to improve implementation practices.
• 2–5 years of experience in implementation engineering, solutions engineering, technical delivery, or a related technical role, ideally within SaaS, data, analytics, or technology environments.
• Working knowledge of APIs, data systems, integrations, and cloud-based architectures such as Google Cloud, Azure, or similar platforms.
• Demonstrated ability to independently deliver high-quality technical implementation work on complex projects.
• Strong communication skills for presenting technical work, recommendations, and reasoning to technical and non-technical audiences.
• Experience collaborating with cross-functional teams across Product, Engineering, and other business or client-facing functions.
• Ability to work in ambiguous environments and adapt to rapidly evolving requirements and priorities.
• Strong problem-solving skills and commitment to continuously improving technical skills.
• Comfortable using AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks.
• Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns.
• Strong judgment when reviewing and hardening AI-assisted outputs for security, scalability, maintainability, reliability, and architectural fit.
• Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems.
• Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows.
• Laptop and reliable internet connection.
• Currently based in Latin America.
• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities
• Work-life balance
• Access to a diverse, global network of 600+ professionals in 25+ countries
• Collaboration with a multicultural team from Latin America