Maneva
Job Description
Job Description 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
ResponsibilitiesEngineering
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 ForMust-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.
Job Description 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
ResponsibilitiesEngineering
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 ForMust-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.