ConvergeCONSUMER - Forward Deployed Engineering Manager, Price & Promo - Innovat
PowerToFly, California, MO, United States
Overview
We are seeking a Forward Deployed Engineering Manager to lead client delivery of pricing and promotion optimization solutions at ConvergeCONSUMER™. This role sits at the intersection of optimization, data engineering, and enterprise deployment.
Key Responsibilities
Lead end‑to‑end deployment of pricing and promotion optimization solutions in client environments.
Translate business objectives, pricing structures, and operational constraints into structured optimization inputs and system configurations.
Configure and operationalize existing optimization engines rather than building net‑new modeling frameworks from scratch.
Integrate client first‑party data, demand forecasts, elasticity models, and other inputs into scalable optimization workflows.
Utilize solvers such as CPLEX, GUROBI, or similar technologies to execute and validate large‑scale linear and mixed‑integer optimization problems.
Partner with data engineering teams to validate pipelines, resolve data quality issues, and ensure reliable model inputs.
Design and run scenario analyses that enable stakeholders to evaluate trade‑offs across margin, volume, revenue, and other key performance indicators.
Ensure optimization outputs are feasible, aligned with guardrails, and ready for operational execution.
Identify and resolve performance bottlenecks related to model runtime, scaling, or infrastructure constraints.
Provide clear documentation, training, and enablement to drive sustainable client adoption.
Manage and mentor a team of forward deployed engineers, fostering technical rigor and delivery excellence.
Surface recurring implementation patterns and configuration challenges to inform enhancements to reusable pricing assets.
Success Factors
Demonstrated expertise in mathematical optimization including linear programming and mixed‑integer programming.
Hands‑on experience using commercial solvers such as CPLEX, GUROBI, or similar tools.
Practical experience working with price elasticity modeling and integrating demand forecasts into optimization workflows.
Strong ability to translate business requirements into formal model objectives and constraints.
Experience troubleshooting model inputs, performance issues, and production deployment challenges.
Proven leadership experience managing technical teams.
Strong communication skills with the ability to explain optimization outputs to technical and non‑technical stakeholders.
Experience supporting deployment of solutions in web‑based or SaaS architectures.
Experience implementing pricing or promotion optimization solutions in retail, consumer products, restaurants, or other consumer‑facing industries.
Experience deploying optimization solutions in cloud‑native environments.
Familiarity with revenue growth management processes or pricing governance models.
Experience working in product‑oriented delivery teams or asset‑based consulting models.
Qualifications
Required:
Bachelor’s degree in Operations Research, Applied Mathematics, Economics, Data Science, Engineering, or a related quantitative field.
8+ years of experience delivering optimization, advanced analytics, or decision science solutions in client‑facing environments.
Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Advanced degree in Operations Research, Applied Mathematics, Economics, or related discipline.
Compensation
The wage range for this role is $130,800–241,000. The disclosed range estimate has not been adjusted for the applicable geographic differential at the location where the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case.
Benefits
Eligible to participate in a discretionary annual incentive program subject to the program rules, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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We are seeking a Forward Deployed Engineering Manager to lead client delivery of pricing and promotion optimization solutions at ConvergeCONSUMER™. This role sits at the intersection of optimization, data engineering, and enterprise deployment.
Key Responsibilities
Lead end‑to‑end deployment of pricing and promotion optimization solutions in client environments.
Translate business objectives, pricing structures, and operational constraints into structured optimization inputs and system configurations.
Configure and operationalize existing optimization engines rather than building net‑new modeling frameworks from scratch.
Integrate client first‑party data, demand forecasts, elasticity models, and other inputs into scalable optimization workflows.
Utilize solvers such as CPLEX, GUROBI, or similar technologies to execute and validate large‑scale linear and mixed‑integer optimization problems.
Partner with data engineering teams to validate pipelines, resolve data quality issues, and ensure reliable model inputs.
Design and run scenario analyses that enable stakeholders to evaluate trade‑offs across margin, volume, revenue, and other key performance indicators.
Ensure optimization outputs are feasible, aligned with guardrails, and ready for operational execution.
Identify and resolve performance bottlenecks related to model runtime, scaling, or infrastructure constraints.
Provide clear documentation, training, and enablement to drive sustainable client adoption.
Manage and mentor a team of forward deployed engineers, fostering technical rigor and delivery excellence.
Surface recurring implementation patterns and configuration challenges to inform enhancements to reusable pricing assets.
Success Factors
Demonstrated expertise in mathematical optimization including linear programming and mixed‑integer programming.
Hands‑on experience using commercial solvers such as CPLEX, GUROBI, or similar tools.
Practical experience working with price elasticity modeling and integrating demand forecasts into optimization workflows.
Strong ability to translate business requirements into formal model objectives and constraints.
Experience troubleshooting model inputs, performance issues, and production deployment challenges.
Proven leadership experience managing technical teams.
Strong communication skills with the ability to explain optimization outputs to technical and non‑technical stakeholders.
Experience supporting deployment of solutions in web‑based or SaaS architectures.
Experience implementing pricing or promotion optimization solutions in retail, consumer products, restaurants, or other consumer‑facing industries.
Experience deploying optimization solutions in cloud‑native environments.
Familiarity with revenue growth management processes or pricing governance models.
Experience working in product‑oriented delivery teams or asset‑based consulting models.
Qualifications
Required:
Bachelor’s degree in Operations Research, Applied Mathematics, Economics, Data Science, Engineering, or a related quantitative field.
8+ years of experience delivering optimization, advanced analytics, or decision science solutions in client‑facing environments.
Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Advanced degree in Operations Research, Applied Mathematics, Economics, or related discipline.
Compensation
The wage range for this role is $130,800–241,000. The disclosed range estimate has not been adjusted for the applicable geographic differential at the location where the position may be filled. Compensation decisions are dependent on the facts and circumstances of each case.
Benefits
Eligible to participate in a discretionary annual incentive program subject to the program rules, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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