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.