Engineering Manager (Pricing)

Join Protolabs as an Engineering Manager (Pricing) and lead a team of software engineers, applied ML engineers, and technical product managers. You will be responsible for the pricing engine and its supporting services, ensuring consistent and effective pricing strategies across the organization. This role requires strong cross-functional partnership skills, a background in software engineering, and experience in managing teams.

Multiple business lines or customer segments rather than one-off implementations

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!

Responsibilities

• Lead a team of software engineers, applied ML engineers, and technical product managers responsible for the pricing engine and its supporting services.
• Own the capability and roadmap for the pricing engine, defining the multi-year strategy for how pricing rules, models, and services evolve as the business grows in complexity.
• Guide problem analysis, solution design, development, and testing of pricing capabilities, ensuring the engine supports differentiated rules and models across factory vs. network fulfillment, by service line, and prototype vs. production.

Requirements

• Experience with pricing strategy, revenue management, or similar quantitative business systems is a strong plus
• Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree is a plus
• Strong cross-functional partnership skills — this role works closely with distributed pricing analysts and service line leaders while maintaining a coherent enterprise pricing architecture underneath them
• Direct experience building and managing LLM-based or applied ML/AI capabilities in a production setting operationalized as real product capabilities, not just experimentation
• Strong software engineering background with demonstrated experience building and scaling complex, rules-based or model-driven decisioning systems, such as pricing engines, recommendation engines, or similar platforms
• 5+ years of experience leading and managing software engineering teams
• Prior people-management experience leading engineering or applied ML teams, ideally at a senior or staff level with demonstrated capability-and-roadmap ownership, not only execution management
• Proven ability to build and operate a capability as a true enterprise service designed for reuse and consistency across