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PHDTech

Customer Success Engineer

PHDTech

Customer Success Engineer in manufacturing AI focusing on customer adoption and value realization. Collaborating with operators, engineers, and managers for deployment success.

Posted 5/4/2026full-timeNew York City • Illinois, Massachusetts, Minnesota, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Coordinate post-sales deployment programs for a portfolio of enterprise manufacturing customers
  • Own operator and site-level adoption: design and deliver training programs for operators, supervisors, and plant managers
  • Drive change management at the account level: diagnose why adoption stalls
  • Use SQL and scripting to query platform data, validate deployed configurations, build adoption dashboards, and troubleshoot data pipeline and product issues at customer sites
  • Track adoption health across your account portfolio using platform data
  • Articulate ROI in the customer’s language
  • Contribute to expansion cases by identifying and sizing additional sites, lines, and use cases based on proven deployment success
  • Close the feedback loop with Product and Engineering by translating field observations and product gaps into structured input that informs roadmap

Requirements

What you’ll need
  • 4–6 years in a technical customer-facing role — solutions engineering, technical account management, customer success engineering, deployment support, or similar
  • Deep customer-facing exposure to manufacturing, industrial operations, or operational technology environments
  • SQL proficiency: comfortable querying databases, building adoption reports, validating data outputs, and diagnosing data pipeline issues in a customer environment. Python scripting is a plus
  • Demonstrated track record of driving adoption and behaviour change in enterprise customer environments
  • Experience designing and delivering technical training or enablement programmes for non-technical end users in industrial or operational settings
  • Ability to communicate complex technical concepts clearly across operator, engineering, and executive audiences
  • Self-directed in ambiguous environments
  • Bachelor’s degree in engineering, computer science, industrial operations, or a related technical discipline
  • Willingness to travel to customer sites ~25–40% depending on customer phase and active deployment activity

Benefits

Comp & perks
  • equity
  • personalized pathways for growth and advancement
  • diversity and inclusion initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPython scriptingdata queryingdata validationadoption reportingdata pipeline troubleshootingdashboard buildingtechnical training designchange managementdeployment support
Soft Skills
communicationself-directedcustomer-facingproblem-solvingadaptabilitycollaborationfeedback managementtraining deliverytechnical concept articulationstakeholder engagement