Inventory Manager Jobs

Accountant* * Gender: Male/Female * Minimum 4 years of Accounting/Finance experience * Experience in finalization of accounts, AP/AR, reconciliations & inventory accounting * Proficiency in Tally ERP 9 and MS Excel * CA Inter or CMA Inter * Based on the industry standard Send me ur resume on WhatsApp no 7907299852

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day—building championship teams, obsessing over fans, acting with limitless entrepreneurial spirit, and delivering with a determined and relentless mindset. As we continue to scale our global platform, the Warehouse Team Lead will play a critical role in driving daily warehouse operations, order fulfillment accuracy, and frontline team performance. ROLE OVERVIEW The Warehouse Team Lead is responsible for leading, mentoring, and directing a team of 10–25 warehouse associates across functions including receiving, pick and pack, shipping, and inventory control. This role oversees daily operational execution — ensuring accuracy in stock movement, adherence to safety protoco

A Career with Point72's Regulatory Reporting Team Point72's Regulatory Reporting department's global mandate is to provide governance across all regulatory filings and obligations for the firm, including but not limited to ensuring completeness of the global inventory of filings, instituting process and workflow controls, facilitating the creation of policies and procedures, and providing process measurement reporting. The department is responsible for preparing reports, generating and coordinating responses for larger cross-departmental filings, managing external vendor relationships, oversight of Technology supporting regulatory filings, evaluating automation options, and administering data standards. The various regulators include but are not limited to the Securities and Exchange Commission (SEC), Commodities Futures Trading Commission (CFTC), National Futures Association (NFA), Federal Reserve/Treasury, Securities and Futures Commission (SFC), Kanto Finance Bureau (KFB), Financial Conduct Authority (FCA), and Monetary Authority of Singapore (MAS). What you'll do Support the preparation and review of filing responses for various regulators (e.g., SEC, NFA, FCA, MAS) Execute MiFID II transaction reporting obligations, including monitoring, validation, and remediation of reporting issues across relevant asset classes Gather requirements, perform functional and data analysis, and contribute to the development of functional and technical specifications for regulatory reporting processes Partner with business teams to clearly document requirements and workflows for regulations Contribute to the maintenance and improvement of the team's controls framework Conduct class action lawsuit analysis as required Respond to Compliance inquiries and regulatory data requests with timely, data-backed analysis Conduct position and transaction monitoring checks to ensure reporting accuracy Utilize data analytical and automation tools to detect anomalies in reporting data and improv

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

We are looking for a Junior Inside Sales Co-Ordinator in a pharma company who supports sales force by processing orders, managing field force documentation, preparing MIS sales reports, and tracking inventory . They act as a liaison between sales, manufacturing / supply chain, and customers to ensure smooth order execution . Key Responsibilities :- 1.) Providing support to the sales team for proposal building 2.) Cold calling prospective clients to initiate sales opportunities 3.) Handling the quotations proposals, and payments 4.) Handling customer queries as per the product information required, submitting quotations & follow ups 5.) Co-ordination with field engineers and customers Skills & Software Knowledge:- 1.)Freshers or Experienced both are welcome 2.)Good written and verbal communication skills 3.)Strong organizational skills and the ability to prioritize work 4.) Sound knowledge of ERP software & Excel Job Title :- Junior Inside Sales Co-Ordinator Location :- Goregaon East Job Type :- Full Time Salary :- 15000 - 22000 Experience :- 1-2 years

Work Flexibility: Onsite Schedule: Monday - Friday, 2:30pm to 10:30am, OT as needed by the business. What You Will Do: Maintain production areas with adequate raw material inventory. Request product from the warehouse and assign it to the designated production area. Verify proper labeling and counts, and transport materials to designated storage locations. Assist with job setups, changeovers, lot closures, and line clearances. Operate hand jacks, lifting devices, cutting tools, and related material handling equipment. Demonstrate proficiency in percentages, decimals, accuracy, and documentation by passing a written assessment. Lift up to 70 lbs and maneuver materials weighing up to 110 lbs. Maintain attendance in accordance with the work schedule and meet overtime requirements as needed. What You Will Need: Preferred High School Diploma or GED Manufacturing Experience or 1 year of related work experience #INDGQO $24.30/hr. + $1.00/hr. Shift Premium plus bonus eligible and benefits. Travel Percentage: 0% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of a

Work Flexibility: Onsite Shift : Rotating Schedule – Week 1: Monday – Friday, 8:00 AM – 4:30 PM; Week 2: Monday – Friday, 9:30 AM – 6:00 PM Location : 2 Medicorum Place, Waterdown, ON Contract Term : 18 months Summary: The Kitroom Operations Associate is responsible for managing the end-to-end handling of loaner inventory, including receiving, tracking, preparing, and shipping medical devices and equipment to support customer and surgical case needs. This role ensures accurate inventory control through auditing and system updates, while coordinating shipping and return schedules to maintain product availability and optimize turnaround times. The Kitroom Operations Associate partners cross-functionally to ensure timely, compliant, and efficient movement of loaner assets, while maintaining organization, accuracy, and adherence to quality and operational procedures. What You Will Do: Accept and process loaner requests from Sales Coordinators, including timely execution of rush shipments in high-intensity situations <span style="color:#4a4a4a

Job Responsibilities Clean and sanitize various areas of the venue, including restrooms, dining areas, and kitchen spaces. Empty trash receptacles and ensure proper disposal of waste. Sweep, mop, and vacuum floors and perform routine maintenance tasks. Assist in maintaining inventory of cleaning supplies and notify when reordering is necessary. Report any maintenance or safety issues to the appropriate personnel. Support the team in maintaining a safe and welcoming environment for guests. Adhere to health and safety guidelines and regulations. Critical Skills & Experience Requirements Ability to perform cleaning tasks with attention to detail and efficiency. Basic knowledge of cleaning products and equipment. Physical fitness and stamina to perform cleaning duties. Previous experience in a similar role is preferred. Knowledge of health and safety regulations is a plus. Must be at least 18 years of age at the time of hire. Min 16.00 - Max 19.50 Position Pay Range BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. EEO Statement Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed

Apply to join our team today! Warehouse Associate roles starting at $23.65 per hour. The pay range is $23.65 to $27.61 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role What does a role as a Warehouse Associate look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly, and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. · Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift</span

Job Responsibilities Clean and sanitize various areas of the venue, including restrooms, dining areas, and kitchen spaces. Empty trash receptacles and ensure proper disposal of waste. Sweep, mop, and vacuum floors and perform routine maintenance tasks. Assist in maintaining inventory of cleaning supplies and notify when reordering is necessary. Report any maintenance or safety issues to the appropriate personnel. Support the team in maintaining a safe and welcoming environment for guests. Adhere to health and safety guidelines and regulations. Critical Skills & Experience Requirements Ability to perform cleaning tasks with attention to detail and efficiency. Basic knowledge of cleaning products and equipment. Physical fitness and stamina to perform cleaning duties. Previous experience in a similar role is preferred. Knowledge of health and safety regulations is a plus. Night & Weekend Availability a must. Pay Range: Min $17.50/hr - $21.00/hr Position Pay Range BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. EEO Statement Topgolf is a global sports and entertainment community and is committed to equal opportunity an

Apply to join our team today! Warehouse Associate roles starting at $21.30 per hour. The pay range is $21.30 to $25.08 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role What does a role as a Warehouse Associate look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly, and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. · Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift</

Apply to join our team today! Warehouse Worker roles starting at $24.65 per hour. The pay range is $24.65 to $27.65 per hour. You may also earn additional compensation in the form of a shift differential, ranging from $2.00 to $3.50 per hour, based on eligibility. Please apply with as much open availability as possible! As a progression TM, there is an opportunity to grow your pay based on your tenure in your role . What does a role as a Warehouse Worker look like? Follow all safety policies and procedures to ensure a safe working environment for all team members. Attend safety trainings to learn how to work safely in a fast-paced warehouse environment. Pack, load, and ship items to stores and guests. Ensure accurate processing of merchandise to our stores and guests. Work safely, quickly and efficiently to handle freight and move inventory throughout the warehouse. Maintain a neat, clean, and organized work area. Report to work on time and complete job tasks as assigned accurately and on time. Engage in problem solving to support continuous improvement. Maintains positive and respectful attitude while working independently and in a team environment. Please note job duties may change at any time due to business needs. Job requirements: Able to lift and carry merchandise weighing 35-50 lbs. frequently throughout a shift. Able to lift and carry merchandise weighing up to 60 lbs. occasionally throughout a shift. Able to push utility carts up to 60 lbs., use carts, hand trucks, and other equipment to move items.

About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills with a proficiency in Python or bash Exposure to building AI-assisted applications Preferred Qualifications Prior security engineering experience through internships, hackathons, or projects Coursework, projects, resea