Product Manager

Title: Product Manager

Client: Tavant

FTE: Yes, with Tavant

Location: Plano, TX preferred

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.