Implementation Consultant I

Key Responsibilities

• Own customer implementations from post-sale kickoff through successful go-live, ensuring projects are delivered on time and aligned to customer expectations.
• Serve as the primary implementation lead and trusted advisor during onboarding, installation, configuration, and early adoption.
• Assess customer manufacturing environments and recommend effective approaches for hardware placement, machine connectivity, and system setup.
• Advises customers on how and where to connect Amper to manufacturing equipment based on machine type, operating environment, and production workflows.
• Configure software and support customers through setup, testing, validation, and training.
• Partner with customers to align Amper’s capabilities to their specific manufacturing processes, business goals, and reporting needs.
• Lead implementation project plans, including timelines, milestones, dependencies, risks, and communication across multiple stakeholders.
• Identify, troubleshoot, and resolve technical and operational challenges during implementation, escalating when needed.
• Support integrations and data flow discussions between Amper and customer systems, including ERP, MES, or other manufacturing software where applicable.
• Deliver user enablement and training to help customers achieve fast time to value.
• Document implementation requirements, technical decisions, configurations, and best practices.
• Collaborate closely with internal teams including Sales, Customer Success, Product, Engineering, and Support to ensure a seamless customer experience.
• Provide feedback from the field to Product and Engineering teams to improve implementation processes, product usability, and customer outcomes.
• Contribute to the continuous improvement of implementation playbooks, documentation, and scalable onboarding processes.

Qualifications

• 3–5+ years of experience in a customer-facing implementation, solutions consulting, technical account management, solutions engineering, industrial engineering, or similar role.
• Experience working in or with manufacturing environments is required.
• Strong understanding of shop floor operations, industrial equipment, and manufacturing processes.
• Ability to understand how machines operate and advise on practical methods for connectivity, hardware deployment, and implementation in production settings.
• Engineering background preferred, such as manufacturing engineering, industrial engineering, mechanical engineering, electrical engineering, or a related technical discipline.
• Strong project management skills with experience leading complex implementations involving multiple stakeholders and timelines.
• Proven ability to manage several projects at once while maintaining strong attention to detail and follow-through.
• Technical aptitude with software systems, system configuration, integrations, networking fundamentals, and troubleshooting.
• Experience with manufacturing software such as ERP, MES, or machine monitoring platforms is highly preferred.
• Familiarity with systems such as Epicor, SAP, Plex, JobBOSS, or similar platforms is a plus.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.
• Comfortable working directly with customers onsite and remotely in industrial and production environments.
• Highly organized, proactive, and customer-oriented with a strong sense of ownership.

Preferred Skills

• Experience with industrial hardware, sensors, gateways, or machine connectivity solutions.
• Knowledge of CNC, fabrication, injection molding, or other discrete manufacturing environments.
• Experience coordinating across operations, IT, engineering, and executive stakeholders.
• Familiarity with implementation methodologies, customer onboarding frameworks, and change management.
• Experience using CRM and project management tools such as Salesforce, Jira, Asana, Monday.com, or similar platforms.
• Ability to analyze implementation progress and customer outcomes using dashboards, reports, and data-driven metrics.