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 requirementsMonitor and track project milestones across all active deployments, proactively identifying and mitigating schedule risksFacilitate project planning sessions with engineering teams to break down complex deployments into manageable work packagesManage project interdependencies and coordinate sequencing across multiple customer implementationsConduct regular project health assessments and implement corrective actions to keep projects on trackMaintain project documentation including scope changes, timeline adjustments, and lessons learnedCustomer Success & Communication Interface
Partner closely with Customer Success team to translate technical project status into clear customer communicationsProvide technical expertise for customer discussions around timeline expectations, milestone definitions, and project scopeParticipate in customer calls to discuss project progress, address technical concerns, and manage expectation alignmentPrepare executive-level project dashboards showing portfolio health, resource utilization, and delivery forecastsEscalate and resolve project issues that impact customer satisfaction or delivery commitmentsSupport pre-sales technical discussions by providing realistic delivery timeline estimates and resource requirementsProcess Optimization & Strategic Planning
Develop and refine project management processes specifically tailored for AI vision system deploymentsAnalyze project data to identify patterns, bottlenecks, and opportunities for process improvementLead retrospectives and post-project reviews to capture learnings and optimize future project executionBuild forecasting models for engineering capacity planning and project pipeline managementCollaborate with leadership on strategic resource planning and team scaling decisionsRequirements
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 environmentsProven experience managing industrial engineering projects with specific background in machine vision, automation, or robotics implementationsStrong customer-facing experience including technical discussions, project updates, and expectation management with manufacturing clientsDemonstrated success coordinating cross-functional engineering teams across hardware, software, and field deployment disciplinesDeep understanding of industrial manufacturing environments including production constraints, operational requirements, and implementation challengesExperience 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 estimatesStrong communication skills with ability to interface effectively between technical teams and business stakeholdersNice-to-Haves
Project management certification (PMP, Scrum Master, or equivalent)Hands-on experience with machine vision systems including cameras, lighting, image processing, and industrial integrationBackground in AI / ML project deployment or computer vision applicationsExperience with industrial automation protocols (PLC integration, Ethernet / IP, Modbus, etc.)Knowledge of manufacturing industries such as food & beverage, automotive, packaging, or CPGExperience in startup or scale-up environments with rapidly evolving project requirementsFamiliarity with software development lifecycles and DevOps practices for edge deploymentBackground in IoT or edge computing deploymentsExperience with resource planning and capacity management toolsUnderstanding of hardware procurement and supply chain considerationsKey Competencies
Technical credibility to engage meaningfully with engineering teams on complex technical projects and provide accurate customer communicationsPeople management skills for directly managing individual contributor technical teams across diverse engineering disciplinesSystems thinking to understand interdependencies across hardware, software, and field deployment activitiesAnalytical problem-solving with data-driven approach to resource optimization and timeline managementStakeholder management across internal teams, customer success, and external customersStartup adaptability to thrive in a fast-paced environment with evolving priorities, resource constraints, and rapid scaling requirementsEscalation management with ability to quickly assess technical issues and coordinate appropriate engineering resources for resolutionBenefits
Why Join Maneva?
Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systemsShape the future of project delivery by building scalable processes for AI system deploymentsWork with world-class engineering talent while optimizing team performance and customer successGain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environmentsLead strategic initiatives that directly impact company growth and customer satisfactionBuild expertise in the rapidly expanding field of industrial AI and autonomous manufacturingCompensation & Benefits
Competitive salary commensurate with experienceEquity participation in a high-growth AI startupComprehensive health, dental, and vision coverageFlexible PTO and professional development opportunitiesRemote-first culture with modern collaboration toolsImportant 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.