Head of Field Tech Operations and Hardware
OnMed
CloudCyber SecurityIoT
Job Level
Mid-LevelSenior
Tech Stack
IoTPMP
About the role
- As an Engineering Project Manager at Maneva, you'll be the strategic orchestrator ensuring optimal utilization of our engineering resources across multiple concurrent AI vision system deployments. You will drive engineering prioritization, manage project timelines, and serve as the critical bridge between our technical teams and customer success organization. Your deep understanding of industrial engineering and machine vision systems will enable you to make informed resource allocation decisions while maintaining technical credibility with both internal teams and external customers.
- Key Responsibilities:
- Optimize engineering resource allocation across multiple concurrent customer projects, balancing team capacity, skill sets, and project priorities
- Develop and maintain engineering capacity planning models to forecast resource needs and identify potential bottlenecks across the project portfolio
- Lead weekly engineering resource allocation meetings with technical leads to review project status, adjust priorities, and resolve resource conflicts
- Create and manage engineering project roadmaps with clear dependency mapping, critical path analysis, and resource requirements
- Implement resource utilization tracking and metrics to continuously improve team efficiency and project delivery performance
- Coordinate cross-functional engineering teams including vision engineers, software developers, hardware specialists, and field technicians
- Establish realistic project timelines based on technical complexity, resource availability, and customer requirements
- Monitor and track project milestones across all active deployments, proactively identifying and mitigating schedule risks
- Facilitate project planning sessions with engineering teams to break down complex deployments into manageable work packages
- Manage project interdependencies and coordinate sequencing across multiple customer implementations
- Conduct regular project health assessments and implement corrective actions to keep projects on track
- Maintain project documentation including scope changes, timeline adjustments, and lessons learned
- Partner closely with Customer Success team to translate technical project status into clear customer communications
- Provide technical expertise for customer discussions around timeline expectations, milestone definitions, and project scope
- Participate in customer calls to discuss project progress, address technical concerns, and manage expectation alignment
- Prepare executive-level project dashboards showing portfolio health, resource utilization, and delivery forecasts
- Escalate and resolve project issues that impact customer satisfaction or delivery commitments
- Support pre-sales technical discussions by providing realistic delivery timeline estimates and resource requirements
- Develop and refine project management processes specifically tailored for AI vision system deployments
- Analyze project data to identify patterns, bottlenecks, and opportunities for process improvement
- Lead retrospectives and post-project reviews to capture learnings and optimize future project execution
- Build forecasting models for engineering capacity planning and project pipeline management
- Collaborate with leadership on strategic resource planning and team scaling decisions
Requirements
- Bachelor's degree in Industrial Engineering, Systems Engineering, or related technical field with 5+ years of project management experience in industrial environments
- Proven experience managing industrial engineering projects with specific background in machine vision, automation, or robotics implementations
- Strong customer-facing experience including technical discussions, project updates, and expectation management with manufacturing clients
- Demonstrated success coordinating cross-functional engineering teams across hardware, software, and field deployment disciplines
- Deep understanding of industrial manufacturing environments including production constraints, operational requirements, and implementation challenges
- Experience with project management methodologies (Agile, Waterfall, Hybrid) and tools (Jira, Asana, MS Project, etc.)
- Excellent analytical skills with ability to assess technical complexity and translate into accurate timeline estimates
- Strong communication skills with ability to interface effectively between technical teams and business stakeholders
- Project management certification (PMP, Scrum Master, or equivalent) (nice-to-have)
- Hands-on experience with machine vision systems including cameras, lighting, image processing, and industrial integration (nice-to-have)
- Background in AI/ML project deployment or computer vision applications (nice-to-have)
- Experience with industrial automation protocols (PLC integration, Ethernet/IP, Modbus, etc.) (nice-to-have)
- Knowledge of manufacturing industries such as food & beverage, automotive, packaging, or CPG (nice-to-have)
- Experience in startup or scale-up environments with rapidly evolving project requirements (nice-to-have)
- Familiarity with software development lifecycles and DevOps practices for edge deployment (nice-to-have)
- Background in IoT or edge computing deployments (nice-to-have)
- Experience with resource planning and capacity management tools (nice-to-have)
- Understanding of hardware procurement and supply chain considerations (nice-to-have)
