Senior Product Manager - Manufacturing (AI-Native)

Role Purpose

Manufacturing is entering an era that is AI-enabled, data-driven, autonomous, and increasingly intelligent. This role sits at the center of that transformation. As a Product Manager for Manufacturing Solutions, you will define and drive products that optimize operations, improve efficiency, and deliver measurable business impact for industrial customers.

You will own the end-to-end product lifecycle, from discovery to adoption to scale, acting as the strategic bridge between customer needs, engineering execution, and commercial outcomes. Leading with a start-up mindset, you will set vision and direction, validate with customers and industry stakeholders, prioritize ruthlessly, and deliver scalable solutions aligned with IFS’s AI-first strategy.

Core Responsibilities

Product Strategy & Vision

• 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.
Customer Insight & Discovery

• 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.
AI-Driven Innovation & Prototyping

• Leverage AI/ML and automation to enhance operational decision-making and optimize manufacturing 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
End-to-End Ownership & Execution

• 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
Commercial Impact & Go-to-Market

• 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.
Qualifications

Experience & Education

Essential

• Proven experience (6+ years) in Product Management within SaaS, platform, or enterprise software environments.
• Experienced and knowledgeable in the domain of Manufacturing, ideally 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
Desirable

• 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.
Additional Information

Interviews and selections are being made continuously. If you are interested, apply as soon as possible.

As a step in our recruitment process, all final candidates will undergo a background check, to get us an understanding of our future employees.

We respectfully decline all offers of recruitment and/or advertising assistance.

Department: Research and Development
Function: Information Technology
Experience Level: Mid-Senior Level