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United States
Remote only
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Implementation Leader, EHS Software (Enterprise SaaS) based in the United States.
The Implementation Leader will oversee the onboarding and deployment of enterprise software solutions designed to improve frontline worker safety, quality, and operational performance. This role manages the full implementation lifecycle, from understanding customer requirements and configuring workflows to integrating systems, training users, and launching solutions. Working closely with enterprise clients, IT teams, and internal stakeholders, the successful candidate will ensure that software implementations align with real-world business processes and deliver measurable value. The position also involves supporting AI-enabled capabilities and using AI tools to improve implementation efficiency and customer outcomes. With responsibility for complex, multi-phase projects, this role requires strong technical expertise, customer relationship skills, and structured project management. This is a full-time remote opportunity for candidates based in the US Midwest or East Coast who enjoy solving complex challenges and helping organizations strengthen safety and operational excellence.
Customer requirements and discovery: Understand customer goals, business processes, existing systems, and operational needs. Document requirements, success criteria, and key performance indicators (KPIs) to guide implementation planning and delivery.
SaaS configuration and workflow design: Recommend, design, configure, and test software workflows that align with customer processes. Share best practices and tailor the solution to meet each organization’s safety, quality, and operational requirements.
Technical integrations: Design, configure, and test API-based integrations between the software platform and customer systems. Collaborate directly with customer IT teams and technical stakeholders to ensure reliable data flows and successful integration.
Enterprise implementation management: Lead complex software rollouts from project kickoff through launch, establishing milestones, coordinating dependencies, managing timelines, and ensuring implementation activities remain on track.
Customer training and onboarding: Develop and deliver training for diverse customer groups, including frontline workers, field technicians, administrators, and other users. Adapt training approaches to different technical backgrounds and ensure teams are confident using the platform at launch.
AI-enabled implementation: Configure and implement AI-enabled product capabilities for customers, helping them understand and use these tools effectively to improve their workflows and outcomes.
AI-assisted productivity: Use AI tools to support project planning, documentation, configuration, and analysis. Review AI-generated outputs carefully for accuracy, quality, and relevance, applying human judgment when needed.
Customer handoff and documentation: Prepare clear implementation documentation and transition customers to Account Management once the solution is live. Provide weekly updates to implementation leadership, highlighting project status, risks, blockers, and required decisions.
Cross-functional collaboration: Share customer feedback, product use cases, and potential expansion opportunities with Product, Sales, and Marketing teams to support continuous product improvement and customer growth.
Customer relationship management: Build trusted relationships with stakeholders at every level, from frontline personnel to technical teams and executives, communicating technical concepts in a clear and relevant way.
Professional experience: At least 7 years of experience implementing large, complex enterprise SaaS solutions from project kickoff through launch.
Industry knowledge: Familiarity with Environmental, Health, and Safety (EHS), quality, sustainability, or connected-worker industrial software, ideally within industries such as energy, utilities, construction, manufacturing, or field services.
Workflow configuration: Hands-on experience configuring SaaS workflows for business customers and adapting software functionality to meet operational requirements.
API integration experience: Practical experience integrating systems and managing data flows through APIs, including collaboration with customer IT and technical teams.
Customer training: Experience training software users with varying technical backgrounds and helping customers adopt new digital tools successfully.
AI proficiency: Experience using AI tools in day-to-day work and/or implementing AI-enabled capabilities for customers, with the ability to validate outputs and apply sound judgment.
Project management: Strong organizational skills and the ability to structure complex implementations into manageable milestones, coordinate multiple workstreams, manage competing priorities, and deliver against commitments.
Customer partnership: Excellent communication and relationship-building skills, with the ability to establish trust and explain technical concepts to frontline users, administrators, IT professionals, and executives.
Ownership and accountability: A proactive approach to resolving blockers, communicating risks early, maintaining project momentum, and following through on commitments.
Learning agility: Curiosity and the ability to learn new products, technologies, and tools quickly while adapting to evolving customer requirements.
Preferred technical skills: Basic knowledge of HTML and experience with diagramming and project management tools.
Preferred education: Bachelor’s degree in Business or a related field, or equivalent practical experience.
Preferred work environment experience: Previous experience working in a startup or small-team environment.
Work arrangement: Remote, restricted to candidates based in the US Midwest or East Coast.
Employment type: Full-time employee position.
Role scope: Opportunity to lead complex enterprise SaaS implementations and work directly with global and enterprise customers.
Technology exposure: Hands-on involvement with AI-enabled software capabilities, API integrations, and workflow automation.
Professional impact: Opportunity to help organizations improve frontline worker safety, quality, and operational performance.
Compensation: Salary and additional benefits are not specified in the provided job description.