Principal Product Manager, Industrial AI | Engineering & Construction

IFS•Itasca, IL

8d•Hybrid

About The Position

This role is central to the transformation of the Engineering & Construction industry into an AI-enabled, data-driven, autonomous, and intelligent sector. As a Product Manager for E&C, you will be responsible for defining and driving products that optimize operations, enhance efficiency, and deliver significant business impact for industrial customers. You will manage the entire product lifecycle, from initial discovery through to adoption and scaling, serving as the critical link between customer needs, engineering execution, and commercial success. Operating with a start-up mentality, you will establish the vision and direction, validate concepts with customers and industry experts, prioritize effectively, and deliver scalable solutions that align with IFS’s AI-first strategy.

Requirements

Proven experience (6+ years) in Product Management within SaaS, platform, or enterprise software environments.
Experienced and knowledgeable in the domain of Engineering & Construction, hands-on experience in the industry.
Demonstrated ability to define and execute product strategy, vision, and measurable outcomes.
Hands-on experience in customer discovery, prototyping, and validating solutions.
Proven track record of launching and scaling products from concept to adoption, delivering measurable customer value.
Exceptional communication, stakeholder management, and prioritization skills.
Data-informed decision-making mindset, using analytics, experimentation, and evidence to guide direction.
AI-curious

Nice To Haves

Experience in developer platforms, application frameworks, data services, or AI/ML-enabled enterprise applications.
Prior exposure to commercial responsibilities such as pricing, monetization, or P&L ownership.
Experience working in global, distributed organizations and partnering across geographies.

Responsibilities

Define and execute a clear product vision and roadmap aligned with company strategy and measurable customer outcomes.
Identify high-impact opportunities through market, customer, competitive, and industry analysis.
Build strong investment cases focused on value creation, adoption, scalability, and differentiation.
Drive growth across core and AI revenue streams.
Align strategy across related products or components within the portfolio.
Lead end-to-end discovery with Research and Design.
Engage directly with customers to understand workflows, operational challenges, and desired outcomes.
Co-create and validate solutions with customers.
Establish continuous feedback loops from discovery through to adoption.
Use qualitative and quantitative insights to refine direction and ensure ROI.
Ruthlessly prioritize based on measurable value.
Leverage AI/ML and automation to enhance operational decision-making and optimize workflows.
Lead functional prototyping and early validation to ensure feasibility and market fit.
Champion an AI-first mindset across Product, Design, and Engineering, ensuring AI is applied intentionally where it creates meaningful customer and commercial value.
Identify high-impact opportunities to embed AI into workflows, decision support, automation, and user experiences, not as a feature add-on, but as a core capability.
Own the lifecycle from concept through launch and scale.
Bridge functional, technical, and commercial requirements to ensure smooth transition from prototype to adopted product.
Clarify priorities, remove blockers, and drive measurable progress toward customer outcomes.
Maintain transparency and alignment across Engineering, Design, Product Marketing, Support, Sales, Go-to-Market and Customer Success.
Balance competing priorities while contributing to commercial performance and product P&L considerations.
Define and communicate clear product differentiation and value proposition.
Contribute to pricing and packaging strategy to maximize growth and market impact.
Work with Product Marketing and GTM teams to ensure successful launches and strong market positioning.
Personally support customer and partner presentations to drive credibility and adoption.
Own adoption as a core metric, ensuring delivered capabilities are intuitive, usable, and deliver real operational impact.