Customer Success Engineer - Digital Production Solutions

NOV•Tulsa, OK

About The Position

This customer-facing technical success role supports customers using Max Production, helping them understand production questions, apply relevant workflows, adopt the platform, and incorporate it into ongoing operations. The successful candidate will bring meaningful expertise in either production and artificial-lift operations or digital, automation, data, and industrial software, and an interest in learning across the other area. The role coordinates with specialists in software engineering, platform architecture, advanced optimization, product management, and field operations. The position involves building a practical understanding of assigned customers, their assets, lift systems, stakeholders, workflows, priorities, and open technical questions. It also supports customer onboarding, training, trials, technical reviews, operating decisions, platform health, and follow-up. The role helps resolve technical and product issues, communicates customer needs internally, demonstrates value through credible technical and usage evidence, and supports renewal and expansion discussions.

Requirements

Bachelor’s degree in engineering, computer science, information systems, energy technology, or a related technical field; equivalent relevant experience may be considered.
Three or more years of experience in production engineering, artificial lift, customer success engineering, technical account management, industrial automation, SCADA, IIoT, SaaS implementation, or a related role.
Meaningful depth in at least one relevant area: upstream production and artificial lift, or digital and industrial technology such as automation, data, APIs, cloud applications, or software-enabled services.
Experience working directly with customers or internal technical stakeholders to investigate problems, explain recommendations, support implementation, or improve operating workflows.
Strong communication, structured problem solving, sound judgment, and consistent follow-through across customers and internal teams.

Nice To Haves

Experience with ESPs or other artificial-lift systems, production surveillance, well-performance analysis, nodal or IPR analysis, pump-performance evaluation, or set-point optimization.
Experience with PLCs, VFDs, SCADA, industrial protocols, historian data, APIs, databases, cloud applications, or customer-facing analytics platforms.
Experience with software testing, feature feedback, release communication, workflow definition, or product improvement; formal product-management experience is not required.
Experience supporting customer adoption, technical reviews, renewals, expansion discovery, or value-realization programs.

Responsibilities

Build a practical understanding of assigned customers, assets, lift systems, stakeholders, workflows, priorities, and open technical questions.
Keep priorities, decisions, commitments, and next actions clear.
Work with customer engineers to investigate production behavior, data questions, artificial-lift operation, and optimization opportunities.
Use Max Production to turn operating questions into structured work and practical recommendations.
Support trials, onboarding, training, technical reviews, adoption, operating decisions, and follow-up.
Help customers incorporate useful Max Production workflows into daily engineering and operations.
Connect customer needs to Product, Engineering, Support, field personnel, artificial-lift specialists, and 24/7 Engineering and Optimization Services, providing the context needed for those teams to contribute effectively.
Help resolve data quality, connectivity, configuration, access, performance, and product issues; document business impact, coordinate escalation, communicate clearly, and confirm the customer’s resolution or next plan.
Track progress around visibility, decision quality, response time, workflow adoption, operational consistency, and service coverage.
Support renewal and expansion discussions with credible technical and usage evidence.
Capture product feedback, workflow gaps, integration needs, and release impacts, and communicate relevant improvements and product guidance to customers.