Engagement Manager - US

OpenKrill; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

UptimeAI, a US-headquartered industrial AI company, is seeking an Engagement Manager to own customer outcomes and successful deployment of our platform across enterprise accounts. This role combines enterprise customer engagement, industrial domain expertise, technical solution leadership, and program management for complex deployments.

You will collaborate with engineering, operations, and executive stakeholders within major industrial organizations to ensure customers deploy, adopt, and scale

Qualifications

• 10+ years in customer engagement or enterprise SaaS deployments.
• Experience with industrial customers in sectors like oil & gas, manufacturing, chemicals, power.
• Experience deploying industrial analytics, APM, predictive maintenance, or AI solutions.
• Strong program or project management skills for complex enterprise deployments.
• Ability to engage technical, operational, and executive stakeholders.
• Experience with cross-functional teams including engineering, product, and data science.

Responsibilities

• Own customer success, adoption, and value realization across enterprise accounts.
• Deploy and scale UptimeAI with engineering, operations, and reliability teams.
• Act as trusted advisor to customer executives and technical teams.
• Identify expansion opportunities with Sales and Solutions teams.
• Collaborate with Product, Engineering, and Delivery; voice of the customer.

Skills

Enterprise SaaS deployments

Program management

Stakeholder management

Industrial customer experience

Cross-functional collaboration

AI/analytics familiarity

Tools

APM platforms

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