Title: Product Manager
Location: Plano, TX preferred (however, open to remote for the right candidate )
Salary: open for negotiation
Experience Level: Looking for a profile with a total experience of 10 – 15 years
But open for profiles with a total experience of more than 5 years or so
Should be coming from a manufacturing background
Keynote: Should be having either Sales Service Management or Field Service
look for folks who have worked on field service at one of these companies: Service MAX, PTC, IFS, Salesforce
Job Description
Role Overview
As a Product Manager – Field Service & AI Innovation, you will play a central role in defining and delivering our roadmap. You’ll collaborate with engineering, design, sales, and customer success to identify high-value problems in the service lifecycle and deliver solutions that are AI-native, scalable, and loved by users.
This is both a builder and a visionary role: someone who thrives on understanding customer pain points, shaping the product strategy, and learning from industry best practices.
Qualifications
- 3–8+ years of product management experience, ideally in Field Service Management, Service Lifecycle Management, or Aftermarket Solutions.
- Exposure to AI/ML applications in enterprise software (e.g., optimization, recommendation systems, conversational AI).
- Strong understanding of FSM workflows: scheduling/dispatch, mobile technician enablement, service contracts, parts & warranty.
- Excellent skills in roadmap planning, stakeholder alignment, and customer discovery.
- A balance of strategic vision and execution detail—you can zoom out and zoom in with ease.
- Strong communicator who can influence cross-functional teams and industry stakeholders.
Roles & Responsibilities
Responsibilities
- Own the product strategy and roadmap for AI-driven field service capabilities.
- Identify and prioritize high-impact AI use cases across technician experience, scheduling optimization, predictive maintenance, knowledge management, and customer engagement.
- Work closely with engineering and data science to translate AI/ML capabilities into practical workflows.
- Partner with customers, prospects, and industry leaders to gather insights and validate ideas.
- Define clear KPIs and success metrics (adoption, efficiency gains, cost savings).
- Stay ahead of the market—analyze competitors, trends, and evolving AI capabilities in FSM.
- Contribute to thought leadership (blogs, events, webinars) to position the product as a category leader.
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