Director of Customer Success and Implementation

PADO

$125K — $150K *
Energy & Utilities
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-10 years experience as a Technical Program Manager in relevant technical fields.
  • Strong proficiency in data center infrastructure, cloud platforms, and AI/ML systems.
  • Track record of utilizing Agile methodologies for product and program launches.
  • Deep understanding of operational KPIs and metrics to drive improvements.
  • Exceptional written and verbal communication skills for diverse audiences.
  • Builder mentality with a focus on curiosity and adaptability in fast-paced environments.
  • Ability to influence cross-functional teams without direct authority.

Responsibilities

  • Lead end-to-end onboarding from kickoff to operational launch across multiple platforms.
  • Conduct technical scoping with client IT and facilities on data integration needs.
  • Define and monitor client KPIs, create case studies, and foster champions.
  • Act as primary point of contact during implementations, translating client needs for teams.
  • Establish structured onboarding processes with documented protocols and checklists.
  • Ensure high-quality delivery of products and act as final quality assurance before client launch.
  • Track and manage customer issues, providing resolution support and escalation as necessary.

Benefits

  • Join a pioneering venture backed by LG NOVA in AI-driven energy solutions.
  • Address critical energy challenges in the data center industry.
  • Engage with advanced AI/ML technology for operational improvements.
  • Have a significant impact on company growth and future success.
  • Collaborate within a passionate, supportive team environment.
  • Receive a competitive compensation package that includes salary, equity, and benefits.
Full Job Description
PADO is searching for a strategic and technical Director of Customer Success and Implementation to act as the bridge between business goals and project execution. You will be responsible for the transition from Closed-Won to Live and Scaling. You will oversee the strategy and execution for the onboarding, technical implementation and overall customer success.

At this stage, that means doing the work yourself first which includes coordinating directly with customer teams, engineering, and data science and then systematizing what you learn so the function can scale. You're not inheriting a playbook for standard ops, you are the owner and writer of the playbook.

Responsibilities:

End to End Onboarding and Client Success: Kickoff through data ingestion through launch and operations across all clients including colocation facilities, neoclouds, and enterprise data centers.

Technical Delivery Scoping: Lead technical scoping conversations with customer IT and facilities teams, including data integration requirements (BMS, DCIM, telemetry pipelines)

Delivering & measuring Outcomes: Manage and Measure deployments across on-prem and cloud environments. Define and instrument client KPIs, develop case studies, and grow champions.

Primary Client Contact: Serve as the primary point of contact for customers during implementation translating their operational environment into actionable configuration requirements for our product and engineering teams

Structured Onboarding Process: Define and document intake protocols, project plans, technical integration checklists, and escalation paths.

Execution & Delivery: Ensure that products and features can be delivered with high quality and speed including after initial launch and/or for change orders. Act as the final QA before anything goes to the client. Deliver a white glove service to clients and approach the relationship in a consultative fashion.

Data-Driven Decision Making: Track success metrics (KPIs) such as adoption, revenue, and task success to inform future delivery strategies and product features.

Manage Customer Support: Track issues, tickets, and resolutions including escalation to engineering and leadership as needed.

Client Sentiment and Product Feedback: to close the feedback loop between onboarding friction, realized client value and the product roadmap.

Minimum Qualifications:

Professional Experience: 7-10 years as a Technical Program Manager in data center infrastructure, cloud platforms, AI/ML systems, or energy infrastructure.

Technical Domain Expertise: Strong understanding of physical equipment and mission critical environments. You have a high level of proficiency with big data, visualization, and machine learning. Proficiency with tooling including Salesforce, Jira, Claude etc.

Program Management Methodology: Proven track record of taking products and programs from concept to launch using frameworks and Agile practices.

Data and Metrics Orientation: You live in the details of operational KPIs and use data to address client / system pain points to drive product adoption and business decisions.

Communication Skills: Exceptional written and verbal skills, with the ability to articulate technical concepts to both engineers and C-suite stakeholders.

Mindset: A curiosity-driven "builder" mentality with comfort in fast-moving, ambiguous environments.

Stakeholder Influence: Proven ability to influence cross-functional teams and diverse stakeholders without direct authority.

Why Join PADO?
  • Be a part of a pioneering venture backed by LG NOVA, at the forefront of AI-driven energy innovation.
  • Address the critical energy challenges facing the rapidly expanding data center industry.
  • Work with cutting-edge AI/ML technology designed to deliver tangible ROI and operational improvements.
  • Opportunity to significantly impact the company's growth and success.
  • Collaborate with a passionate and supportive team.
  • Competitive compensation package (salary, equity and benefits).

Location: Ohio, Pennsylvania, Virginia, or West Virginia

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