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Work Study Digital Twin Jobs (NOW HIRING)

Work with engineering, operations, and field teams to develop comprehensive Go-To-Market (GTM ... digital twin technologies What we need to see: * 8+ years of product management experience in ...

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Work Study Digital Twin information

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$33K

$76.6K

$130K

How much do work study digital twin jobs pay per year?

As of Sep 5, 2026, the average yearly pay for work study digital twin in the United States is $76,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a Work Study Digital Twin?

A Work Study Digital Twin is a virtual replica of a physical work environment, process, or workflow that is used to analyze and optimize productivity, safety, and efficiency. By creating a digital model, organizations can simulate changes, test improvements, and monitor real-time performance without disrupting actual operations. This technology is increasingly used in manufacturing, logistics, and industrial engineering to support data-driven decision-making and process optimization.

What are the key skills and qualifications needed to thrive as a Work Study Digital Twin?

To thrive as a Work Study Digital Twin, you need strong analytical skills, a background in engineering or data science, and familiarity with process modeling and simulation concepts. Proficiency in digital twin platforms (such as Siemens NX, ANSYS, or Dassault Systèmes), data analytics tools, and possibly certifications in digital twin technology are typically required. Excellent problem-solving, communication, and teamwork skills help you collaborate with stakeholders and interpret complex data. These skills ensure accurate virtual modeling, effective optimization of real-world processes, and successful integration of digital twins within organizations.

How does a Work Study Digital Twin professional typically collaborate with cross-functional teams to optimize operational processes?

A Work Study Digital Twin professional frequently collaborates with engineers, operations managers, and IT specialists to create and refine virtual models of real-world workflows. By sharing insights from digital simulations, they help teams identify inefficiencies and test process improvements before implementation. This role is highly interactive, often involving data exchange, joint problem-solving sessions, and presentations to stakeholders to ensure that proposed changes are feasible and align with business goals.

What is the difference between Work Study Digital Twin vs Work Study Analyst?

AspectWork Study Digital TwinWork Study Analyst
CredentialsTypically requires knowledge of digital modeling, simulation, and data analysis; certifications in digital twin technologies are a plusRequires understanding of work study programs, data analysis, and reporting; often holds a degree in education, business, or related fields
Work EnvironmentPrimarily in digital environments, using simulation software and data platformsIn educational or corporate settings, analyzing work study data and coordinating programs
Industry UsageUsed in manufacturing, engineering, and technology sectors for process optimizationCommon in educational institutions and workforce development programs

The main difference is that a Work Study Digital Twin focuses on creating virtual models to simulate work environments, while a Work Study Analyst analyzes data related to work study programs. The digital twin role emphasizes technical skills in modeling and simulation, whereas the analyst role centers on data analysis and program coordination.

More about Work Study Digital Twin jobs

What cities are hiring for Work Study Digital Twin jobs?

Cities with the most Work Study Digital Twin job openings:

What are the most commonly searched types of Digital Twin jobs?

The most popular types of Digital Twin jobs are:

What states have the most Work Study Digital Twin jobs?

States with the most job openings for Work Study Digital Twin jobs include:

Infographic showing various Work Study Digital Twin job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $76,639 per year, or $36.8 per hour.

Customer Digital Twin Product Analyst

Copado

New Orleans, LA • On-site

$70 - $95/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Copado is the #1 DevOps Platform for Salesforce and the Cloud. We deliver an AI-enabled devops platform to enhance human’s ability to orchestrate business application development in the agentic age to drive digital transformation for 1,500+ of the most innovative brands on the planet — from Coca-Cola to T-Mobile to Volkswagen. Our agentic platform unites non-technical admins and pro-code developers on the same system and empowers enterprises to scale end-to-end software delivery across multi-cloud environments. We operate in a dynamic and competitive industry and our consistent growth reflects our continued commitment to innovation and customer success.

Role Overview

As the Customer Digital Twin Product Analyst at Copado, you will report directly to the VP CX Transformation. In this junior-to-mid-level role, you will act as the operational custodian and data steward for two strategic pillars of our Customer Intelligence + Digital Twins and Customer AI Governance + Quality.

You will work in close partnership with the Agentic Operations team (including Customer Experience Data Engineers, Support Operations, and CS Operations) to construct, maintain, and scale our network of digital twins and AI agents. By auditing our automated workflows, checking AI outputs against strict quality guardrails, and ensuring seamless data integration, your work will directly underpin Copado’s key commercial targets.

Key Responsibilities

Manage Digital Twin Schemas:

  • Take day-to-day operational ownership of the data structures and schemas for the Customer Experience Twins. Ensure these twins serve as a highly accurate, unified, and permanent intelligence record of our customers' environments and configurations.

Run Weekly AI Quality Reviews:

  • Lead the ground-level execution of the Weekly AI Quality Review alongside Support, CS, Services, and CX leadership. Audit and sample automated triage decisions, flag incorrect severity classifications, log routing mistakes, and identify hallucinated technical recommendations.
  • Rigorously monitor customer-facing AI agent outputs against established AI Guardrails. Ensure no AI agent exposes credentials, secrets, or logs across different accounts, and verify that human-approval pathways are strictly followed for high-risk customer communications.

Support the Agentic Operations Pipeline:

  • Assist in configuring, refining, and testing the behavior of specialized AI agents in the customer experience journey, including the Support Intake Agent, Entitlement Agent, SLA Router, Triage Agent, Diagnostic Agent, and Case Twin. Partner with the Support and CS Operations Lead to optimize these models over time.

Track AI and Twin KPIs:

  • Continuously compile and report on core AI performance metrics, such as triage and routing accuracy, the human override rate, AI-assisted case resolution speed, and customer satisfaction on automated cases.

Qualifications & Experience

Requirements
  • 2+ years of experience as a Product Analyst, Data Analyst, Systems Analyst, or Operations Specialist within an enterprise SaaS or cloud-based software environment.
  • Proven experience with data mapping, schema management, or system telemetry tracking, with a clear understanding of how system configurations translate into structured data records.
  • Exceptional analytical and auditing skills, with a meticulous attention to detail and a track record of monitoring data integrity, software outputs, or system-generated metrics.
  • Strong process discipline and operational rigor, with experience tracking weekly metrics, maintaining structured documentation, and managing project milestones.
  • Solid collaborative and communication skills, with a proven ability to coordinate tasks cross-functionally across technical teams (including data engineers, support managers, and product operations).
  • Familiarity with Customer Success software (e.g. ChurnZero, Gainsight) and how customer health scores, usage signals, and automated plays are structured.
Preferred Qualifications
  • Direct experience with AI governance, prompt auditing, or LLM output evaluation (detecting hallucination risks, reviewing classification accuracy, and checking compliance against privacy boundaries).
  • Familiarity with the Salesforce ecosystem, including knowledge of core standard/custom objects, environment mapping, or metadata structures.
  • Understanding of modern DevOps workflows, Git command basics, and software release pipelines.
  • Experience working with ticketing databases (such as Jira or Salesforce Service Cloud) and API-driven data integration pipelines.
  • A strong curiosity and enthusiasm for generative AI capabilities, automated workflow systems (such as Agentia Studio), and digital twin technology.
Copado offers a comprehensive benefits package, which includes:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) Plan
  • Paid Time Off
  • Wellness Perks

Copado is an Equal Employment Opportunity and ... . Copado does not accept unsolicited headhunter and agency resumes. Copado will not pay any third-party agency or company that does not have a signed agreement with Copado.

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