Project Manager

Retail Environments Develop engineering plans and solutions for brands that embrace artistic freedom across the retail world. Recognized globally, our client is one of the largest retail environment manufacturers in the industry. They take pride in developing innovative spaces with the ability to blend multi-materials in a creative fashion that produces unique environments. At their core, they are experts in millwork, metal, glass and acrylic production. Their Toronto office specializes in project management and warehousing. POSITION OVERVIEW The Administrative Project Coordinator is accountable and responsible for reporting, maintaining, and expediting key areas of the project cycle with an emphasis on administration. KEY FOCUS Coordinate and organize activities surrounding the project cycle. Monitor each project from order entry to completion. Ensure that identified issues are reacted to in a timely manner. Partner with all functions, especially manufacturing to organize and support critical aspects to meet customer delivery. Support the Project Management team through: Capturing/interpreting/inputting/maintaining sales order; Input/participation at production meetings; Maintain/update all project information through Vantage; Ship schedules; Project/product expediting; Monitor/maintain critical project/program timelines; and Coordinating shipments & deliveries. Management of: order entry data, manufacturing and shipping documentation. Develop competencies and technical skills focusing on design, detail, quality, and engineering of our products. Maintain and manage individual project schedules through assistance in coordinating manufacturing, shipping, and installation. Providing shipping instructions as required, including customer shipping specifications. Provide customer service, sales support, and backup to Project Manager. Complete individual store quantity takeoffs (multi store roll out programs). Requirements Must have post-secondary education and/or equivalent minimum of three years administrative/project coordination experience. Must have the ability to demonstrate experience in creating and maintaining spreadsheets utilizing MS Office programs. Intermediate to expert level of MS Word and Excel is required. An understanding of MRP fundamentals is preferred. Highly organized, diligent, and a high level of initiative. Must be able to work independently while multi-tasking. Excellent verbal and written communication skills required. Team-oriented and excellent customer service and satisfaction. For additional information, please visit www.podgroup.ca

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Project Manager – Level 2 Location: Ottawa, ON (Hybrid) Security Clearance: Level II – Secret Position Type: Contract (Contingent on Winning Bid) We are responding to a federal government RFP and are seeking a Project Manager (Level 2) to lead and manage large-scale federal initiatives. The successful candidate will be included in our bid and must demonstrate senior-level project management experience in complex environments. Important: This position is contingent on contract award. Only candidates who meet all mandatory requirements will be considered. You must be prepared to provide documented proof of education, certifications, and work experience, including detailed project descriptions and references. Requirements Required Qualifications Education: An undergraduate degree from a recognized Canadian post-secondary institution (or equivalent if obtained outside Canada and assessed) in one of the following areas: Engineering Science Technical Field Experience: A minimum of 7 years (84 months) of combined experience within the last 7 years, covering at least five (5) of the following areas: The following tasks must have been performed on projects with annual expenditures exceeding $1,000,000: The following tasks may have been performed on projects of any size: Working as a project manager Drafting and presenting technical and management documents Drafting correspondence and making recommendations on the acceptance or rejection of deliverables Preparing Contract Deliverable Requirement Lists (CDRLs) and Data Item Descriptions (DIDs) Certifications (Required for Full Points): Valid Project Management Professional (PMP) certification Asset Education: Additional degrees (bachelor’s or higher) in any of the following areas will be considered an asset: Engineering Mathematics Science Project Management Business Administration

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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 a Data Technician at Maneva, you'll be responsible in monitoring, reporting, and providing correctional feedback of our AI systems' data quality and operational performance. You will ensure the integrity of our machine learning datasets, monitor production applications for anomalies, and serve as the critical bridge between our engineering team, external annotators, and customer success operations. From reviewing edge cases in computer vision datasets to curating data for training processes for customer applications, you will play a vital role in maintaining the high-quality data that powers our AI solutions.  This role combines data analysis, quality assurance, and operational support. You'll work closely with annotators to improve data quality, monitor live production systems for performance issues, and collaborate with customer success teams to ensure smooth operations across manufacturing deployments.  Location: Remote Compensation: Entry-level pay band; compensation will reflect the candidate’s experience and skills within this band. Note: This is an entry-level position suitable for candidates without a university degree. We welcome applicants from diverse backgrounds, including those with vocational training, hands-on experience, or self-taught technical skills. Requirements Key Responsibilities  Review and validate annotated datasets daily, identifying edge cases and inconsistencies that require domain expertise to resolve correctly  Interface with external annotation contractors, providing feedback on data quality and updating annotation instructions to improve accuracy and consistency  Conduct systematic reviews of existing datasets to identify missed or inconsistent annotations, ensuring high-quality training data for AI models  Monitor production applications for performance anomalies, downtime, and output quality issues, escalating technical concerns to the engineering team  Collaborate with customer success teams to obtain production schedules and manage SKU training processes for new product variations  Respond to customer support requests via phone calls and online ticketing systems, providing first-line technical assistance  Maintain operational awareness of deployed applications, alerting for unusual prediction patterns or system behavior  Support alert management and follow-up on Grafana notifications, ensuring proper documentation and cleanup of operational tickets  Document data quality issues, system performance observations, and process improvements for internal knowledge sharing  Assist with data curation workflows and maintain organized datasets for ongoing model training and validation  What We're Looking For  Must-Haves  Strong attention to detail and ability to identify patterns and anomalies in large datasets  Excellent communication skills for interfacing with external contractors and internal stakeholders  Proficiency with computer usage and general technical troubleshooting abilities  Ability to work independently and manage multiple concurrent data review tasks  Customer service orientation with experience handling support requests  Nice-to-Haves  Experience with SQL and basic programming skills (Python preferred)  Experience in computer vision, machine learning data annotation  Familiarity with data annotation tools and processes  Experience with monitoring and alerting systems (Grafana, JIRA, or similar)  Experience working with external vendors or contractors  Background in technical support or customer success roles  Understanding of AI/ML model training and validation processes  Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  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.   

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