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Open nowPosted 7 hours agoWe saw it 93 min after it went up

Engagement Manager

Jobgether3,976 open roles

Where
US
Work mode
Remote
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Your applicationOpen nowEngagement ManagerJobgether · US

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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. Jobgether postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 7 hours ago

Jobgether median: 6 days open

The posting

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engagement Manager based in the United States.

The Engagement Manager will lead enterprise customer engagements and oversee the successful deployment of AI-powered solutions across industrial organizations. This role combines customer success, technical leadership, and program management to deliver measurable improvements in operational performance. You will work closely with engineering, operations, reliability, and executive stakeholders to ensure customers maximize platform adoption and business value. By translating advanced analytics and AI insights into practical solutions, you will help reduce downtime, lower maintenance costs, and improve asset reliability. You will also identify opportunities to expand customer relationships and support the adoption of new use cases. This is an opportunity to contribute to the transformation of heavy industry through innovative technology in a fast-growing, globally focused environment.

Accountabilities:

  • 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.
  • 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.
  • 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.
  • 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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