Engagement Manager
New
J
JobgetherIndustrial AI
Based in the United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- At least 10 years of experience in customer engagement, digital transformation, or enterprise SaaS deployments.
- Required Skills
- Artificial IntelligenceStakeholder management
Requirements
- At least 10 years of experience in customer engagement, digital transformation, or enterprise SaaS deployments.
- Experience working with industrial customers in sectors such as oil and gas, manufacturing, chemicals, power, or other heavy industries.
- Demonstrated experience deploying industrial analytics, asset performance management (APM), predictive maintenance, or AI solutions.
- Strong program and project management skills for overseeing complex enterprise deployments and coordinating multiple stakeholders.
- Ability to engage with technical teams, operational leaders, and executive decision-makers.
- Experience collaborating across Engineering, Product, and Data Science teams.
- Strong communication, relationship-building, and stakeholder management skills, including translating technical concepts into operational and business value.
- Ability to drive customer adoption, measurable improvements, retention, and account expansion.
- Preferred: background in reliability engineering, industrial operations, or industrial digital transformation.
- Preferred: experience with APM platforms, industrial Internet of Things (IIoT), or predictive maintenance solutions.
- Preferred: certifications such as Certified Maintenance & Reliability Professional (CMRP), Six Sigma, or other reliability frameworks.
Responsibilities
- Lead customer success, platform adoption, and value realization across enterprise accounts.
- Partner with engineering, operations, and reliability teams to deploy, implement, and scale industrial AI solutions.
- Advise customer executives and technical stakeholders, aligning technology initiatives with business objectives.
- Manage complex AI deployment programs, including project planning, stakeholder coordination, technical workshops, and solution architecture discussions.
- Translate AI-driven insights into operational improvements that reduce downtime, optimize maintenance costs, enhance asset reliability, and increase efficiency.
- Collaborate with Sales and Solutions teams on strategic customer opportunities and identify expansion potential.
- Work with Product, Engineering, Data Science, and Delivery teams to resolve challenges and ensure successful implementation.
- Represent customer feedback internally to inform product development and roadmap priorities.
- Monitor customer adoption, satisfaction, retention, and operational performance.
- Build long-term customer partnerships that support platform adoption in industrial operations.
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