Convergeconsumer - Forward Deployed Engineering Manager, Price & Promo - Innovation_delivery_transformation

This role focuses on deploying and configuring existing mathematical optimization engines for pricing and promotion solutions within client enterprise environments. It involves translating business requirements into optimization inputs, integrating data, using solvers like CPLEX or GUROBI, and managing a team of engineers. The role emphasizes operationalizing and scaling these solutions rather than building new modeling frameworks.

What you'd actually do

  1. Lead end-to-end deployment of pricing and promotion optimization solutions in client environments.
  2. Translate business objectives, pricing structures, and operational constraints into structured optimization inputs and system configurations.
  3. Configure and operationalize existing optimization engines rather than building net-new modeling frameworks from scratch.
  4. Integrate client first-party data, demand forecasts, elasticity models, and other inputs into scalable optimization workflows.
  5. Utilize solvers such as CPLEX, GUROBI, or similar technologies to execute and validate large-scale linear and mixed-integer optimization problems.

Skills

Required

  • mathematical optimization
  • linear programming
  • mixed-integer programming
  • CPLEX
  • GUROBI
  • price elasticity modeling
  • demand forecasts
  • optimization workflows
  • model inputs
  • performance issues
  • production deployment challenges
  • leadership experience managing technical teams
  • communication skills
  • deployment of solutions in web-based or SaaS architectures
  • implementing pricing or promotion optimization solutions
  • deploying optimization solutions in cloud-native environments

Nice to have

  • revenue growth management processes
  • pricing governance models
  • product-oriented delivery teams
  • asset-based consulting models

What the JD emphasized

  • pricing and promotion optimization
  • optimization engines
  • client environments
  • deployment
  • mathematical optimization
  • linear programming
  • mixed-integer programming
  • CPLEX
  • GUROBI
  • price elasticity modeling
  • demand forecasts
  • optimization workflows
  • model inputs
  • performance issues
  • production deployment challenges
  • pricing or promotion optimization solutions
  • optimization solutions in cloud-native environments