Workable
Engineering Project Manager
About Maneva
Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.
What You'll Do
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.
This role is central to scaling our operations efficiently, ensuring our engineering talent is optimally deployed across high-impact customer projects while maintaining delivery excellence and customer satisfaction.
Location: Remote-first with occasional travel for strategic customer meetings
Key Responsibilities
Engineering Resource Management & Prioritization
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
Project Timeline & Milestone Management
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
Customer Success & Communication Interface
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
Process Optimization & Strategic Planning
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
What We're Looking For
Must-Haves
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
Nice-to-Haves
Project management certification (PMP, Scrum Master, or equivalent)
Hands-on experience with machine vision systems including cameras, lighting, image processing, and industrial integration
Background in AI/ML project deployment or computer vision applications
Experience with industrial automation protocols (PLC integration, Ethernet/IP, Modbus, etc.)
Knowledge of manufacturing industries such as food & beverage, automotive, packaging, or CPG
Experience in startup or scale-up environments with rapidly evolving project requirements
Familiarity with software development lifecycles and DevOps practices for edge deployment
Background in IoT or edge computing deployments
Experience with resource planning and capacity management tools
Understanding of hardware procurement and supply chain considerations
Key Competencies
Technical credibility to engage meaningfully with engineering teams on complex technical projects and provide accurate customer communications
People management skills for directly managing individual contributor technical teams across diverse engineering disciplines
Systems thinking to understand interdependencies across hardware, software, and field deployment activities
Analytical problem-solving with data-driven approach to resource optimization and timeline management
Stakeholder management across internal teams, customer success, and external customers
Startup adaptability to thrive in a fast-paced environment with evolving priorities, resource constraints, and rapid scaling requirements
Escalation management with ability to quickly assess technical issues and coordinate appropriate engineering resources for resolution
Benefits
Why Join Maneva?
Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems
Shape the future of project delivery by building scalable processes for AI system deployments
Work with world-class engineering talent while optimizing team performance and customer success
Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments
Lead strategic initiatives that directly impact company growth and customer satisfaction
Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing
Compensation & Benefits
Competitive salary commensurate with experience
Equity participation in a high-growth AI startup
Comprehensive health, dental, and vision coverage
Flexible PTO and professional development opportunities
Remote-first culture with modern collaboration tools
Important Notice: Protecting Your Personal Information
We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.
If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

Toronto, ON, Canada
Negotiable Salary