Forward Deployed Solutions Engineer

Job Summary

Required Qualifications

• •Advanced Analytics and Modeling Fluency
• •Technical Seller
• •Forward-Deployed Range
• •Systems Thinking
• •Commercial Judgment
• •Product-to-Customer Translation
• •Executive Presence
• •Customer Systems and Data Platform Depth
• •Advanced SQL for Cloud Data Warehouses
• •API and Integration Judgment
• •Integration Patterns
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Demonstrated fluency writing and optimizing analytical SQL against modern cloud warehouses such as Google BigQuery
• •Must be able to reason about query cost, performance, and data volume
• •Familiarity with API engineering, integration design, data exchange, system interoperability, authentication, payload structure, data mapping, implementation constraints, and technical troubleshooting
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Familiarity with the patterns that move data between systems and the judgment to choose the right one for the customer's constraints
• •Must understand that technical work in a sales process exists to advance revenue
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality
• •The role requires comfort in executive conversations, technical architecture discussions, field workflow analysis, and deployment planning
• •Must understand how customers structure, govern, move, expose, and operationalize data across systems
• •Must be able to reason about data quality, model outputs, scoring or prioritization logic, predictive frameworks, analytical tradeoffs, and operational value
• •Must be able to reason about query cost, performance, and data volume
• •Must be credible enough to diagnose integration realities, ask precise questions, and shape workable paths with customers and internal teams
• •Must be capable of understanding workflows, systems, data realities, field constraints, implementation risks, analytics requirements, and operational value creation inside strategic accounts
• •Must understand that the value of the platform is not only in what it shows, but in how it changes decisions, prioritization, execution, measurement, and operating cadence
• •Must understand how enterprise deals move
• •Must be comfortable with variable compensation tied to sales impact
• •Must explain not only what the platform does, but how it changes the customer's ability to see stores, measure execution, understand market reality, connect intelligence to existing systems, and act with greater precision
• •Must be able to build trust with senior commercial and technical leaders while staying grounded in operational reality