Field Dispatcher

Roofstock•Dallas, TX

1d•Remote

About The Position

As a Field Dispatcher at Mynd, you will serve as the project coordinator for all scheduling of our on-the-ground resources: In-House Technicians and Portfolio Associates. You will coordinate all aspects of our property management, including inspections and repairs, and ensure all stakeholders are kept abreast of completion timelines. We will empower you to be the mastermind behind our ground game by training you on our proprietary software and teaching you the ins and outs of the property management and repairs and maintenance business. Most importantly, you will bring a strong sense of problem-solving and an infectious enthusiasm as we strive to maximize our client’s investments and provide our residents with homes they love!

Requirements

Bachelor’s degree or an equivalent combination of education and experience is preferred.
Strong analytical mindset: comfortable reading operational data, identifying trends, and translating numbers into clear, actionable insights for a stakeholder audience.
Previous experience in property management, field operations, vendor management, and/or dispatch coordination preferred, particularly in a metrics-driven or SLA-accountable environment.
Exceptional written and verbal communication skills; ability to produce clear, complete internal escalation notes, cross-functional updates, and performance summaries without excessive follow-up.
Proactive by default. Anticipates issues, surfaces them early with supporting context, and comes prepared with proposed solutions rather than waiting to be directed.
Meticulous attention to detail, strong organizational skills, and the ability to manage multiple open escalations simultaneously without losing track of priority or deadlines.
Ability to make sound, confident decisions with incomplete information in time-sensitive situations.
Technical proficiency, including Google Applications, and Team Communication Platforms (Slack/Zoom); comfort navigating property management or work order platforms preferred.
Experience working alongside AI or automated workflow systems is a plus.
Positive, can-do attitude with a commitment to excellence, accountability, and achieving goals.
Can effectively work independently and as a member of various teams and committees.
Must be authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.
Any offer of employment is conditioned upon the successful completion of a background investigation.

Nice To Haves

Experience working alongside AI or automated workflow systems is a plus.

Responsibilities

Manage the end-to-end lifecycle of work orders, home inspections, and property management tasks; coordinate with residents and In-House Technicians, verify completion, and submit for approval.
Provide excellent support at all times to our In-House Technicians, proactively provide necessary context, stay available to work through any challenges our team encounters, and follow up on any failed trips.
Manage all electronic record keeping as it relates to field activities, including internal communication, resident damages, and any other needed information.
Metrics ownership and weekly performance reporting: track and present SLA adherence rates, AI escalation volume, inspection completion rates, failed-trip rates, and extension utilization trends to identify issues before KPIs are missed.
Serve as the primary owner of all escalated service requests, including duplicate inspections, edge-case scenarios, units requiring special handling, and any situation our agent has routed for human review, and resolve within SLA with complete documentation.
Proactively communicate with internal stakeholders: surface at-risk field activities, approaching hard-stop deadlines, and portfolio-level trends before being asked, and provide updates that are complete enough to eliminate unnecessary back-and-forth.
Partner cross-functionally with Property Management, Maintenance, and Operations to prioritize work, surface capacity constraints, and align on resolutions; bring data and context to every conversation and follow through on commitments.
Contribute to continuous improvement: document new exception types and resolution paths and recommend AI workflow refinements based on observed failure patterns.