About Gradera
Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes.
Overview
We are seeking an experienced Simulation & Scenario SME (Subject Matter Expert) to bridge deep operational domain expertise with our simulation engineering capabilities. This is a critical role responsible for ensuring that our digital twin simulations accurately model real-world operations, scenarios are realistic and valuable, and simulation outputs are validated against operational reality.
You will work at the intersection of domain knowledge and technology — defining simulation scenarios, validating physics and logic models, identifying edge cases, and ensuring simulations deliver actionable insights for operational decision-making. This role partners closely with simulation engineers, data scientists, and client stakeholders.
Key Focus Areas
Domain Expertise
Deep understanding of complex operations (logistics, supply chain, transportation, energy, utilities, or similar asset-intensive industries)
Knowledge of operational workflows, resource scheduling, and capacity planning
Understanding of operational constraints, regulations, and safety requirements
Familiarity with dispatch, fleet management, or network operations
Simulation & Scenario Design
Scenario definition and use case development for what-if analysis
Simulation validation and fidelity assessment
Operational constraint modeling and edge case identification
Cross-industry simulation pattern recognition
Key Responsibilities
Define realistic simulation scenarios from operational use cases and business needs
Identify and prioritize critical what-if scenarios by business value and impact
Build scenario libraries for normal, edge, and stress conditions
Translate business questions into simulation experiments and parameters
Validate simulations against real-world behavior and historical data
Define fidelity benchmarks, acceptance criteria, and approve models for production
Translate domain rules, constraints, and heuristics into simulation requirements
Ensure simulations meet regulatory, safety, and compliance needs
Collaborate with operations, simulation, and data teams on scenarios and KPIs
Present results, gather feedback, and evolve scenarios via a continuous roadmap
Highly Desirable
· Experience as SME for digital twin or simulation platform implementations
· Background in operations research , process optimization , or continuous improvement
· Familiarity with discrete event simulation concepts and validation approaches
· Experience with operational planning tools, scheduling systems, or optimization software
· Knowledge of multiple industry verticals (enables cross-industry pattern recognition)
· Certifications in operations management, Six Sigma, or related disciplines
Preferred Qualifications
10+ years of experience in operations roles within asset-intensive industries
Experience with digital transformation , operational analytics , or simulation projects
Background in operations management, industrial engineering, or related field
Experience defining requirements for software or simulation systems
Track record of bridging domain expertise with technology teams
Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus