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Engagement Manager
UptimeAI Inc.. Own customer success, adoption, and value realization across enterprise accounts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in customer success and enterprise SaaS deployments, with a strong focus on industrial analytics and predictive maintenance solutions. Proven ability to engage with technical and executive stakeholders to drive operational improvements and value realization.
Highest-signal resume keywords
Customer EngagementEnterprise SaaS DeploymentsIndustrial AnalyticsProgram ManagementReliability Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive MaintenanceAI SolutionsDeployment ProgramsOperational EfficiencyTechnical Workshops
Soft Skills
Trusted AdvisorCollaborationStakeholder Engagement
Tools & Technologies
APM PlatformsIndustrial IoT
Certifications & Qualifications
CMRPSix Sigma
Industry Keywords
Oil & GasManufacturingChemicalsPowerHeavy Industry
Tech Stack
Tools & technologiesIoT
About the role
Key responsibilities & impact- Own customer success, adoption, and value realization across enterprise accounts
- Partner with engineering, operations, and reliability teams to deploy and scale UptimeAI solutions
- Act as a trusted advisor to customer executives and technical teams
- Help customers achieve reduced downtime, lower maintenance costs, improved asset reliability, and increased operational efficiency
- Lead deployment programs for industrial AI solutions
- Facilitate technical workshops and solution architecture discussions
- Translate AI insights into actionable operational improvements
- Partner with Sales and Solutions teams to support strategic customer opportunities
- Identify new use cases and expansion opportunities based on realized value
- Collaborate with Product, Engineering, and Delivery teams
- Represent the voice of the customer internally
- Help shape the product roadmap based on field insights
Requirements
What you’ll need- 10+ years experience in customer engagement, digital transformation, or enterprise SaaS deployments
- Experience working with industrial customers in sectors such as oil & gas, manufacturing, chemicals, power, or heavy industry
- Experience deploying industrial analytics, APM, predictive maintenance, or AI solutions
- Strong program or project management skills managing complex enterprise deployments
- Ability to engage technical, operational, and executive stakeholders
- Experience working with cross-functional teams including engineering, product, and data science
- Background in reliability engineering, operations, or industrial digital transformation
- Experience with APM platforms, industrial IoT, or predictive maintenance solutions
- Certifications such as CMRP, Six Sigma, or reliability frameworks
Benefits
Comp & perks- Competitive compensation and equity
- Opportunity to build and scale in a high-growth AI company
- Work at the forefront of AI transforming heavy industry
- Partner with leading global industrial companies
- Help shape how AI delivers real operational impact