Technical Project Manager, Vision Intelligence - MachineQ

Blueface Ltd; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health Benefits

Wellness Resources

Flexible Work Options

Job summary

Blueface Ltd is seeking a Technical Project Manager 3 to lead service delivery for MachineQ’s Computer Vision solutions. This role involves overseeing large-scale deployments and ensuring operational excellence across services and products. The candidate must have extensive experience in managing complex technology projects and possess strong problem-solving skills.

The ideal candidate will coordinate technical deployment strategies, work with various stakeholders, and ensure project success through meticulous planning and management.

Qualifications

• 7+ years managing complex deployments involving technology infrastructure.
• Expert knowledge of IP and analog camera systems.
• Proven experience in field deployment leadership and compliance.

Responsibilities

• Lead end-to-end delivery of camera and vision intelligence implementations.
• Manage project scoping, design reviews, and planning.
• Develop and manage project plans with regular reporting.

Skills

Project management

Interpersonal skills

Technical knowledge of camera systems

Problem-solving skills

Education

Bachelor’s Degree

Tools

Jira

Confluence

Salesforce

Job description

Job Summary

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. The role requires an autonomous, self‑starter approach with critical thinking and superb attention to detail.

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.
• Consistently exercise independent judgment and discretion in matters of significance.
• Maintain regular, punctual attendance; be willing to work nights, weekends, and variable schedules as required.
• Perform any other duties as assigned.

Qualifications

1. 7+ years of experience managing complex, multi‑site deployments involving wired and wireless technology infrastructure, networking, and camera systems.
2. Expert knowledge of IP and analog camera systems, ONVIF standards, video encoders/decoders, and cloud VMS platforms.
3. Working knowledge of TCP/IP, VLANs, subnets, VPNs, PoE, firewalls, QoS, and video‑related bandwidth considerations, and AI/ML, alongside familiarity with NVR/DVR/NAS and camera hardware ecosystems.
4. Proven experience in field deployment leadership, supervising site surveys through full rollouts, system design validation, and managing low‑voltage contractors and other installation vendors.
5. Experience with state/local licensing requirements and compliance for security/alarm and low‑voltage camera installations highly preferred.
6. Domain experience in retail, QSR, hospitality, or similar distributed multi‑location operational environments highly preferred.
7. Experience with project management and collaboration tools such as Jira, Confluence, and Salesforce is a plus.
8. Excellent interpersonal skills, ability to build strong relationships with customers, teammates, and leadership while maintaining a positive and professional demeanor.
9. Demonstrated ability to learn quickly and solve problems in a rapidly changing, ambiguous environment.

Education

Bachelor’s Degree. Consideration may be given to applicants with a combination of coursework and experience or extensive related professional experience.

Certifications

Relevant certifications, if applicable.

Benefits

Benefits include a wide range of options and tools to support physical, financial, and emotional well‑being. Please visit the benefits summary on the careers site for more details.

EEO Statement

We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.