Engagement Manager

Accountabilities:: In this role, you will own customer outcomes, lead complex deployments, and build strategic partnerships that support long-term adoption, retention, and growth. 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. Serve as a trusted advisor to 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 actionable operational improvements that reduce downtime, optimize maintenance costs, enhance asset reliability, and increase efficiency. Collaborate with Sales and Solutions teams to support strategic customer opportunities and identify expansion potential based on demonstrated business value. Work closely with Product, Engineering, Data Science, and Delivery teams to resolve challenges and ensure successful implementation. Represent the voice of the customer internally, sharing field insights and feedback to inform product development and roadmap priorities. Monitor customer adoption, satisfaction, retention, and operational performance to ensure deployments deliver measurable results. Build long-term customer partnerships that position the platform as a strategic component of industrial operations. Requirements: The ideal candidate brings extensive experience in enterprise customer engagement, industrial technology, and complex solution delivery, along with the ability to connect technical capabilities to measurable business outcomes. 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, with the ability to oversee complex enterprise deployments and coordinate multiple stakeholders. Ability to engage effectively with technical teams, operational leaders, and executive decision-makers. Experience collaborating across cross-functional teams, including Engineering, Product, and Data Science. Strong communication, relationship-building, and stakeholder management skills, with the ability to translate technical concepts into operational and business value. A results-oriented mindset and the ability to drive customer adoption, measurable improvements, retention, and account expansion. Preferred qualifications: Background in reliability engineering, industrial operations, or industrial digital transformation. Experience with APM platforms, industrial Internet of Things (IIoT), or predictive maintenance solutions. Relevant certifications, such as Certified Maintenance & Reliability Professional (CMRP), Six Sigma, or other reliability frameworks. Benefits: Competitive compensation: Salary details and specific compensation ranges are not provided. Equity: Equity opportunities. Professional impact: Opportunity to work at the forefront of AI innovation in heavy industry. Strategic exposure: Collaboration with leading global industrial organizations. Growth opportunities: Chance to contribute to the development and scaling of a high-growth AI business. Remote work: Position based remotely within the United States.