Technical Project Manager, Vision Intelligence - MachineQ

Comcast•Philadelphia, PA

About The Position

The Technical Project Manager 3 will lead service delivery for MachineQ’s Computer Vision solutions, overseeing large-scale, multi-site deployments and driving operational excellence across field services, partners, and products. This role will take a leadership position specifically in the deployment and scalability of our growing Computer Vision solution areas – which combine cameras, edge devices, AI/ML models, data from integrated sensors, and SaaS experiences to solve real operational problems. In this role, you’ll help deliver services that help customers see, understand, and act on vision-based intelligence, shaping both near-term pilot success and long-term solution experiences. This position requires an autonomous and self-starter approach, with critical thinking and superb attention to detail being key requirements for success. The ideal candidate will have a demonstrated ability to learn quickly and solve problems in a rapidly changing, ambiguous environment. The expectation is for relentless innovation, not a “we’ve always done it this way” approach. The MachineQ Operations team brings IoT and Computer Vision solutions to market for large enterprises, managing implementations from initial customer engagement through installation and day-2 support. This role is responsible for leading complex service delivery across diverse customer environments, ensuring successful execution of projects involving: IP and analog camera installations, upgrades, and system migrations Edge and cloud-based video management and analytics platforms On-site infrastructure, including DVR/NVR systems, NAS (e.g., QNAP), network switches, and related hardware Coordination of internal teams, field technicians, and third-party vendors

Requirements

7+ years of experience managing complex, multi-site deployments involving wired and wireless technology infrastructure, networking, and camera systems, including oversight of vendors and field installation teams.
Expert knowledge of IP and analog camera systems, ONVIF standards, video encoders/decoders, and cloud VMS platforms.
Working knowledge of TCP/IP, VLANs, subnets, VPNs, PoE, firewalls, QoS and video-related bandwidth considerations, and AI/ML, alongside industry familiarity with NVR/DVR/NAS and camera hardware ecosystems.
Proven experience in field deployment leadership, supervising site surveys through full rollouts, system design validation (e.g., camera placement, cabling, coverage, FOV, lighting), and management of low-voltage contractors, electricians, and other installation vendors.
Possess excellent interpersonal skills, with ability to build strong relationships with customers, teammates, and leadership while always maintaining a positive and professional demeanor.

Nice To Haves

Experience with state/local licensing requirements and compliance for security/alarm and low-voltage camera installations highly preferred.
Domain experience in retail, QSR, hospitality, or similar distributed multi-location operational environments highly preferred.
Experience with project management and related collaboration tools such as Jira, Confluence, and Salesforce is a plus.

Responsibilities

Own MachineQ’s Computer Vision deployment strategy to ensure efficient and successful project outcomes.
Lead end-to-end delivery of large-scale camera and vision intelligence implementations, including project architecture planning, resource management, field coordination, hardware movement, install execution, reporting, capacity forecasting, quality control, project closeout, and post-install support.
Manage project scoping, design review, and planning from pre-sale customer engagement through first truck in field.
Oversee day-to-day field operations once underway, ensuring schedule adherence, resolving risks and escalations, and optimizing vendor performance.
Maintain and expand third-party installation partner relationships, ensuring performance, quality, continuity and scalability of field resources.
Develop training enablement materials for technicians, vendors, and internal stakeholders.
Serve as the subject matter expert for Computer Vision deployments and solutions, acting as the primary interface for MachineQ Operations across customers, internal teams, vendors, and solution provider partners.
Develop and manage project plans, tracking milestones, dependencies, and performance metrics, with regular reporting to leadership and customers.
Partner with Product and Engineering teams on customer discovery, field research, design, implementation and usability insights to inform solution improvements.
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance.
Must be able to work nights and weekends, variable schedule(s) as necessary.
Other duties and responsibilities as assigned.
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.