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Engagement Manager - US

Role overview

Qualifications

  • 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

Responsibilities

  • Lead Enterprise Customer Engagements
  • Drive Measurable Customer Outcomes
  • Lead Complex AI Deployments
  • Support Expansion & Strategic Opportunities

Key facts

Hard skills

Other skills

  • Program Management

About the company

UptimeAI logo

UptimeAI

Computer Software / SaaS

Leading industrial companies trust UptimeAI to scale expertise across their operations. In the heavy process industries, the real constraint isn't data, it's decision capacity. Knowledge is fragmented, experienced experts are retiring, and operations are growing more complex. UptimeAI solves this at the decision layer. Our AI reasoning agents think like your SMEs by connecting operational data to deliver real-time, expert-level guidance that improves reliability, maintenance, performance, and safety. Built around how real decisions are made, UptimeAI goes beyond dashboards and alerts, providing explainable recommendations that teams can trust, and act on. With 90%+ pilot-to-production success rates, UptimeAI is proven to help customers reduce downtime, improve maintenance economics, and drive measurable operational impact. Trusted by leaders across oil & gas, power generation, chemicals and cement. Too many tools. Too few experts. One reasoning engine for expert decisions.

Company details

IndustryComputer Software / SaaS
Company size51 - 200

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Job description

Engagement Manager

Location: Remote (US)
Reports to: VP, Customer Success

About UptimeAI

UptimeAI is a US-headquartered industrial AI company helping heavy industries improve reliability and operational performance through advanced AI and predictive analytics.

Our platform enables enterprises to predict, diagnose, and resolve operational issues in real time, improving uptime, reducing maintenance costs, and driving measurable operational outcomes.

UptimeAI works with global industrial leaders like Shell, Mitsubishi, and ABB Motion and is backed by $14M in Series A funding. As we continue our rapid global expansion, we're building the leadership team that will help shape the company's next phase of growth.

About the Role

The Engagement Manager owns customer outcomes and successful deployment of the UptimeAI platform across enterprise accounts.

This role combines:

  • Enterprise customer engagement

  • Industrial domain expertise

  • Technical solution leadership

  • Program management for complex deployments

You will work closely with engineering, operations, and executive stakeholders within major industrial organizations to ensure customers successfully deploy, adopt, and scale UptimeAI.

Success in this role is defined by measurable operational impact, strong platform adoption, and long-term customer partnerships.

What You’ll Do

Lead Enterprise Customer Engagements

  • 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.

Drive Measurable Customer Outcomes

Help customers achieve operational outcomes such as:

  • Reduced downtime

  • Lower maintenance costs

  • Improved asset reliability

  • Increased operational efficiency

Lead Complex AI Deployments

  • Lead deployment programs for industrial AI solutions.

  • Facilitate technical workshops and solution architecture discussions.

  • Translate AI insights into actionable operational improvements.

Support Expansion & Strategic Opportunities

  • Partner with Sales and Solutions teams to support strategic customer opportunities.

  • Identify new use cases and expansion opportunities based on realized value.

Cross-Functional Leadership

  • Collaborate closely with Product, Engineering, and Delivery teams.

  • Represent the voice of the customer internally.

  • Help shape product roadmap based on field insights.

What Success Looks Like

  • Successful deployment of AI solutions across enterprise customers

  • High customer adoption and satisfaction

  • Measurable operational improvements for customers

  • Strong retention and expansion across strategic accounts

  • Customers viewing UptimeAI as a long-term strategic partner

Qualifications

Must Have

  • 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

Nice to Have

  • 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

Why Join UptimeAI

  • Work at the forefront of AI transforming heavy industry

  • Partner with leading global industrial companies

  • Help shape how AI delivers real operational impact

  • Competitive compensation and equity

  • Opportunity to build and scale in a high-growth AI company

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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