Implementation Engineer - Technology Industry

We are looking for an Implementation Engineer to own technical implementation workstreams from initial scoping through go-live. In this role, you will build and configure integrations between an AI-powered platform and the tools and systems used by agencies and enterprise customers, working across APIs, data systems, cloud technologies, and evolving AI workflows. The ideal candidate is a technically strong problem-solver who can work independently on complex implementations, communicate effectively with both technical and non-technical stakeholders, and operate comfortably in ambiguous, fast-changing environments. You will also leverage AI-enabled development tools and agent-driven workflows to accelerate implementation, automation, debugging, and operational tasks while ensuring solutions remain secure, scalable, maintainable, and aligned with the broader architecture.

Responsibilities

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 closely 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 help design tailored onboarding and implementation solutions; Support the development of 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 for different use cases; Review and harden AI-assisted outputs to ensure 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 continuously improve implementation practices

Requirements

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, with the ability to clearly present technical work, recommendations, and reasoning to both technical and non-technical audiences; Experience collaborating with cross-functional teams across Product, Engineering, and other business or client-facing functions; Comfortable working in ambiguous environments and adapting to rapidly evolving requirements and priorities; Strong problem-solving skills and a growth mindset, with a demonstrated commitment to continuously improving technical skills; Comfortable using AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks; Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns based on the use case; Strong judgment when reviewing and hardening AI-assisted outputs, with consideration for security, scalability, maintainability, reliability, and architectural fit; Experience creating or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems that improve engineering velocity and reliability; Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows

Benefits

100% Remote Work; Highly Competitive USD Pay; Paid Time Off; Work with Autonomy; Work with Top American Companies; A Culture That Values You; Diverse, Global Network; Team Up with Skilled Professionals