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Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description You could work anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of BizOps & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Senior Associate, Business Operations to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a Senior Associate, Business Operations, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the business operations & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-McKinsey teammate has to say about joining Jerry: "I’ve really enjoyed working at Jerry because it’s allowed me to flex the strategy muscles I built at McKinsey while also getting much closer to implementation. Unlike traditional consulting, I’m not just handing off a recommendation — I actually get to own the metrics, design A/B tests, and see how our strategies play out in the real world. Jerry has a deeply data-driven culture. We A/B test everything, and there’s been a big investment in data infrastructure — from clean, well-structured data to a strong data engineering team that supports real decision-making. As a result, the data and BizOps team is seen as a core strategic partner within the company. Another thing I’ve appreciated is the team itself. A lot of people here come from MBB, so I’ve still got the energy, sharp thinking, and high bar that I had at McKinsey — but now I also get to build, test, and iterate on the strategies I help develop. It’s a great mix of ownership, rigor, and impact." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 2+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in business analysis/operations * High level of comfort with SQL and/or running complex data analysis Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $130K - $160K

Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment to doing things the right way, not the easy way. To making things that are as original as they are timeless. To being true to ourselves, even when that truth sets us apart from the mainstream. Maintaining authenticity in a trend-driven industry also means creating a collaborative workspace that supports talent, creativity and forward-thinking. As New Yorkers, community has become synonymous with our brand. An inclusive environment at rag & bone upholds our original values by encouraging employee connection and empowering each individual to have a voice on policy, process and collaboration for a more equitable future The Role As a Sales Support Associate you will support both the back of house and front of house operational functions. Back of house functions include, but are not limited to, unpacking/packing shipments, organizing the stock room, answering phones, and understanding and executing operational policies/procedures. Front of house you will flex between greeter, runner, cashier, phone answering, and whatever else the store requires. Your role is to support an efficient product flow as well as a best in class customer service experience. The Sales Support base pay ranges from $19-$20 hourly. What You’ll Do • Partner with the Operations Supervisor and Store Management to ensure positive brand representation as portrayed through product, store maintenance, and customer service., • Assist with inventory and stock management, • Ensure maximization of storage and capacity in all product and supply categories, • Assist with the investigation and rectification of inventory discrepancies, • Contribute to the achievement of low inventory shrink and high inventory accuracy by ensuring consistent execution at all inventory touchpoints: receiving, transfers, RTV, sales, and cycle counts, • Work with the sales team to provide exemplary customer service: Assist with POS, customer repairs, dry-cleaning, and alterations processes, • Have proper understanding of BOH/FOH IT systems, including POS transaction, • Meet store and metric goals, • Ensure brand mission is brought to life and introduced to everyone that walks into our store, • Provide assistance to our Visual Merchandising team on floor sets, window changes and other projects, as needed, • Maintain a knowledge and understanding of all policies and procedures, • Consistently act within the core values of rag & bone, • Identify opportunities to support the team in delivering best in class customer service, • The Customer Rules - Prior work experience in a retail stock, logistics, and/or customer service, • Be a Good Human - Be original, be authentic, • Have No Fear - Innovate, solve problems, • Own Every Decision - Work together, get results, • Quality Matters - Be disciplined, be competitive The Sales Support role is full-time and requires 32-40 hours per week. Benefits • Clothing Allowance Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly required to sit; use hands to finger, handle, or feel and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by this job include close vision. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Powered by JazzHR geVb6mDFHe

Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Customer Service Our Customer Service Representatives (CSRs) are the first contact with our customers - so we value their commitment to exceptional customer service, enthusiastic attitude and the ability to assist our customers through the ordering process. Get Paid to Talk! In addition to providing exceptional customer service to our customers through order taking, our CSRs gain valuable experience through assisting with in-store duties and learning the pizza delivery business. Our CSR's will Earn an hourly base pay of $16.00! Great Hours! Our CSRs work mostly on the weekends and in the evenings. It is a great after school job, second job, summer job or part-time job for anyone who is looking to work part-time hours. Schedules are flexible so we will always try to work with you. Opportunities! In our CSR position, you will have an excellent opportunity to learn the in-store side of the business and eventually move into management. Domino's Pizza is committed to promoting from within - most of our General Managers started as drivers and many started as CSRs. It is a stepping stone to advancement into our Management Development Program. To apply for a Customer Service position at Domino's Pizza, you must be at least 18 years of age and have excellent communication skills. Some computer experience is helpful. In addition, we are looking for applicants to work in a fast-paced team environment Job Description PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Walking For short distances for short durations Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Sitting Paperwork is normally completed in an office at a desk or table Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. During delivery, carry pizzas and beverages while performing "walking" and "climbing" duties. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. Qualifications • Valid U.S employment authorization that allows you to work in the United States of America., • Friendly, • Works well with others., • Works well under stress of high paced environment., • Ability to multitask., • Able to respond to customer concerns., • Must be able to follow Team Sharma Domino’s Policies., • Must be able to work together as a team., • Must understand all store calls must be answered after the first ring Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description The NAACP Legal Defense & Educational Fund, Inc. (LDF) is the country’s first and foremost civil and human rights law organization. Founded in 1940 under the leadership of Thurgood Marshall, who subsequently became the first Black U.S. Supreme Court Justice, LDF was launched at a time when the nation’s aspirations for equality and due process of law were stifled by widespread state-sponsored racial inequality. From that era to the present, LDF’s mission has been transformative — to achieve racial justice, equality, and an inclusive society. LDF’s litigation, public policy advocacy, and public education programs in the substantive areas of criminal justice, economic justice, education, and political participation seek to ensure the fundamental and basic human rights of all people to quality education, economic opportunity, the right to vote and fully participate in democracy, and the right to a fair and just judicial system. LDF continues to make an impact in the area of public service and was recognized by Fast Company as one of its 2023 Brands That Matter under its public service category. LDF seeks a creative problem solver, strong advocate, and skilled Community Organizer to join its organizing team to advance its reform work in a full range of legislative and policy campaigns. This position will work across all four (4) core LDF issue areas with preferred experience in educational equity and/or criminal justice. Preference will be given to candidates based in the New York area. The Community Organizer will report to LDF’s Deputy Director of Community Organizing. Responsibilities: • Valuing, highlighting and building the capacity of impacted communities to effectively organize initiatives that address LDF’s four (4) core issue areas;, • Investigating educational equity and racial justice issues through data, anecdotal, and other factual collection and analyses;, • Assisting Campaign Strategist in preparing campaign workplans;, • Cultivate external relationships with national, regional, and local organizations and allies;, • Working with local communities to assist in building their capacity to challenge discriminatory educational policies and practices including promoting inclusive, culturally responsive curricula on race and equity;, • Organizing communities or coalitions to advance reforms to public systems, including but not limited to educational systems;, • Developing and maintaining relationships, partnerships, and coalitions with parents, educators, organizations, community members/leaders, and public officials;, • Planning, implementing, and coordinating successful community outreach and public education campaigns;, • Devises and implements training for LDF staff, members, and supporters to build an ongoing growth and development process, including specific training on community outreach and engagement, meeting with elected officials, volunteer-led outreach like phone-banking and canvassing, data management, interacting with media, and using technology to take online activism offline;, • Collaborating and coordinating closely with the Policy, Litigation, Thurgood Marshall Institute, and Communications Departments to develop and sustain a multi-disciplinary and community-informed approach to LDF’s various advocacy efforts on racial justice issues;, • Tracking programs’ progress to achieve goals, producing reports, and highlighting and adjusting plans as necessary; and, • Experience working on educational equity or criminal justice campaigns;, • Minimum of 5 years of experience in organizing communities or coalitions to advance reforms to public systems, including but not limited to educational and criminal justice systems;, • Commitment to the racial justice mission of LDF;, • Demonstrated commitment to valuing, highlighting and building the capacity of impacted communities to effectively organize initiatives that address racial bias in educational and criminal justice systems;, • Demonstrated ability to plan, implement and coordinate successful community outreach and public education campaigns;, • Demonstrated ability to develop and maintain relationships, partnerships, with coalitions of organizations, community members/leaders, and public officials via the internet, in-person and telephone;, • Ability to work well under pressure with attention to detail;, • Outstanding integrity, professionalism, discretion, and sound judgment to handle sensitive, high-profile, legally privileged and otherwise confidential information in an appropriate manner;, • Ability to work both in a team structure and independently, as required by different circumstances;, • Excellent oral and written communication skills, including the ability to convey complex information effectively to a wide range of audiences of varying sizes and varying venues;, • Strong initiative and creative thinking;, • Excellent organizational skills;, • Willingness to adhere to a flexible and sometimes demanding schedule;, • Extensive travel to both urban and rural areas in the United States is required; and The salary range for this position is $48,000 - $68,000. LDF offers a rich platform of benefits, including medical (Empire), dental (Cigna), vision (NVA), flexible spending accounts (Flex Facts), transit/commuter plan, life insurance, AD&D, voluntary life & AD&D (UNUM), AFLAC, Employee Assistance Plan, and Health Advocate. As well as the many healthcare benefits, LDF offers a 403b plan with employer match and a robust vacation, sick, and personal time program to ensure employees have a healthy work-life balance. LDF has transitioned to a hybrid work environment. Any candidate selected for this position should be prepared to work in the office location assigned at least two days per week. Please note that LDF requires all employees to be fully vaccinated against COVID-19 as a condition of employment. Accordingly, successful candidates must be fully vaccinated and submit proof of vaccination prior to the commencement of employment unless they qualify for a reasonable accommodation for bona fide medical or religious reasons. The NAACP Legal Defense and Educational Fund, Inc. is proud to be an Equal Opportunity Employer. We are committed to providing equal employment opportunities to you without regard to race, creed, color, religion, national origin, sex, sexual orientation, pregnancy, marital status, age, veteran status, medical condition or disability, genetic information, gender identity, or any other protected status under federal, state, or local law.

Job DescriptionOverview Company Overview: Allied Universal®, North America's leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you will be part of a team that contributes to a culture that positively impacts the communities and customers we serve. Job Description As a Security Officer - Education Flex Patrols in New York, NY, you will serve and safeguard clients in a range of industries such as Education, and more. Join a leading team where flexibility meets opportunity. As a Flex Part-Time Security Officer, you'll use our exclusive Claim a Shift platform to view and Pick up open shifts based on your availability-giving you the freedom to build a schedule that works for you, while gaining valuable site experience across various industries. Whether you're looking to supplement your income or take the first step toward a full-time role, this position offers unmatched access to hands-on experience and growth opportunities. As a Patrol Unarmed Officer with Allied Universal, you will monitor and patrol designated areas at an education-focused location, remaining highly visible to help deter potential security-related incidents. Your presence and alertness will contribute to a welcoming environment, while your exceptional customer service and communication skills will support all guests, staff, and students. Join a team that values reliability, agility, and innovation, and experience a caring culture where people come first and teamwork drives our success. This is an opportunity to make a meaningful impact each day. Position Type: Flex Pay Rate: $20.40 / Hour Job Schedule: DayTimeMon08:00 AM - 04:00 PM Why Join Us: • Smart Tools: Access to our exclusive technology to view and claim additional shifts to earn more., • Career Growth: Get paid training and access to career growth opportunities., • Financial Benefits: Participate in our retirement savings plan to invest in your future., • Provide customer service to clients by carrying out security-related procedures, site-specific policies, and when appropriate, emergency response activities., • Respond to incidents and critical situations in a calm, problem-solving manner., • Conduct regular and random patrols around the campus and perimeter to help to deter unauthorized activity and identify potential concerns., • Monitor campus facilities for unusual activity and report any security-related observations to Allied Universal management and/or client representatives as required., • Assist students, staff, and visitors by providing information and directions within the location as needed., • Support access control by observing entrances and exits, and verifying identification when required., • Complete detailed and accurate incident and daily activity reports in accordance with site procedures., • Be at least 18 years of age for unarmed roles; 21+ years of age for armed roles., • Possess a high school diploma or equivalent., • As a condition of employment, applicants will be subject to a background investigation in accordance with all federal, state, and local laws., • Allied Universal will consider qualified applications with criminal histories in a manner consistent with applicable laws., • As a condition of employment, applicants will be subject to a drug screen to the extent permitted by law., • Licensing requirements are subject to state and/or local laws and regulations and may be required prior to employment. If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: . Requisition ID 2025-1467285

Job Description Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities. Job Summary The Dealer Success Manager supports our dealer base. They are responsible for interfacing with our dealers to build relationships, drive adoption of our platforms and our tools, and use data to recommend inventory strategies for success. They will generate new business and upsell our current customer base. Must be based in/near Long Island or Queens. Key Responsibilities • Build and Maintain Relationships: Foster strong, long-term relationships with active dealers through weekly calls, monthly performance reviews communication and problem solving skills, providing tailored solutions for dealer success., • Serve as an Ambassador: Educate dealers on Lotlinx products, company, and best practices including risk inventory, channel marketing and market trends, • Customer Success Reporting: Conduct regular meetings using data and reports (weekly, quarterly) to ensure optimal use of our platform, and setting up strategic campaigns to achieve dealer goals., • Retention and Churn: Assess and manage risks for each dealer to proactively prevent churn, driving retention and growing revenue., • Product/Service Updates: Identify and prioritize updates based on dealer feedback, industry trends, market dynamics, and competitor analysis using our tools., • New Business: Generate sales with new dealerships, increase our market penetration, and contribute revenue., • Bachelor's degree or equivalent experience, • 5+ years of sales experience preferred, • Experience with presentation tools, Salesforce, and Outreach, • Proven track record of sales success, • Experience in the automotive industry is required, • Proven Relationship Management: Proven track record of managing dealer relationships; dealer principles, dealer groups, • Tech-Savvy: Ability to understand, interpret, and present data effectively using a consultative approach., • Quick Learner: Ability to grasp new concepts quickly, maintain an open mind for change, and proactively solve problems., • Excellent Communication: Strong communication and presentation skills, with a focus on listening for understanding and influencing outcomes., • Client Service Excellence: Proven track record of delivering outstanding client service., • Leadership Engagement: Expertise in interfacing with client contacts at various leadership levels., • Technical Presentation: Ability to effectively present Lotlinx platform and technology and respond to client requirements and requests with urgency., • Client Standards Understanding: Capacity to educate and consult with dealers and requirements related to offered products, features, and solutions., • Internal Communication: Ability to communicate client requirements to internal teams with urgency to ensure alignment. Benefits: Medical, Dental, Vision, Matching 401k. Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Lotlinx is not currently able to offer sponsorship for employment visa status. Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada. Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.

Job DescriptionJob Description ABOUT THE JOB You got game? You got spring in your step? You want the best job in the world! And schedules that work with you, not against you? That's right, we live to beat the rush and make it possible to make, bake or take pizzas during the hungry hours of the day and night, part or full time. You'll have plenty of time left over for school, hanging with your friends, or whatever. Sound good? Even if you just need a second job for some extra cash, Domino's Pizza is the perfect place for you. We are searching for qualified customer service reps with personality and people skills. We're growing so fast it's hard to keep up, and that means Domino's has lots of ways for you to grow (if that's what you want), perhaps to management, perhaps beyond. Whether it's your hobby, main-gig, or supplemental job, drop us a line. We're bound to have just the thing for you. ADVANCEMENT Many of our team members began their careers as delivery drivers and today are successful Domino's franchise owners. From customer service representative to management, General Manager to Manager Corporate Operations or Franchisee, our stores offer a world of opportunity. DIVERSITY Our mission is to recognize, appreciate, value and utilize the unique talents and contributions of all individuals. To create an environment where all team members, because of their differences, can reach their highest potential. SUMMARY STATEMENT We take pride in our team members and our team members take pride in Domino's Pizza! Being the best pizza delivery company in the world requires exceptional team members working together. At Domino's Pizza, our people come first! JOB REQUIREMENTS You must be 16 years of age or older. General Job Duties For All Store Team Members · Operate all equipment. · Stock ingredients from delivery area to storage, work area, walk-in cooler. · Prepare product. · Receive and process telephone orders. · Take inventory and complete associated paperwork. · Clean equipment and facility approximately daily. Training Orientation and training provided on the job. Communication Skills · Ability to comprehend and give correct written instructions. · Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person. Essential Functions/Skills · Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator). · Must be able to make correct monetary change. · Verbal, writing, and telephone skills to take and process orders. Motor coordination between eyes and hands/fingers to rapidly and accurately make precise movements with speed. · Ability to enter orders using a computer keyboard or touch screen. Work Conditions EXPOSURE TO · Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks. · In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas. · Sudden changes in temperature in work area and while outside. · Fumes from food odors. · Exposure to cornmeal dust. · Cramped quarters including walk-in cooler. · Hot surfaces/tools from oven up to 500 degrees or higher. · Sharp edges and moving mechanical parts. SENSING · Talking and hearing on telephone. Near and mid-range vision for most in-store tasks. · Depth perception. · Ability to differentiate between hot and cold surfaces. TEMPERAMENTS The ability to direct activities, perform repetitive tasks, work alone and with others, work under stress, meet strict quality control standards, deal with people, analyze and compile data, make judgments and decisions. Additional Information PHYSICAL REQUIREMENTS, including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 4". Walking For short distances for short durations Sitting Paperwork is normally completed in an office at a desk or table Lifting · Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. · Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. · Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying · Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. · Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. · Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. Pushing · To move trays which are placed on dollies. · A stack of trays on a dolly is approximately 24" - 30" and requires a force of up to 7.5 pounds to push. · Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending · Forward bending at the waist is necessary at the pizza assembly station. · Toe room is present, but workers are unable to flex their knees while standing at this station. · Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. · Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching · Reaching is performed continuously; up, down and forward. · Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. · Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. · Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Hand Tasks · Eye-hand coordination is essential. Use of hands is continuous during the day. · Frequently activities require use of one or both hands. Shaping pizza dough requires frequent and forceful use of forearms and wrists. · Workers must manipulate a pizza peel when removing pizza from the oven, and when using the rolling cutter. · Frequent and/or forceful pinching is required in the assembly of cardboard pizza boxes. · Team Members must be able to grasp cans, the phone, the pizza cutter and pizza peel, and pizza boxes. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel.

Mount Sinai - Mount Sinai Doctors 5 E 98 [Medical Office Assistant] As a Surgical Scheduling Coordinator at Mount Sinai, you'll: Coordinate surgical schedules and manage patient appointments efficiently; Facilitate communication between surgical teams and patients to ensure seamless operations; Over

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Positions may be filled from current staff returning part-time, temporary work to support or orient new staff. We are committed to a respectful and inclusive environment for all staff, patients, and communities we serve. The Flex Staff Hourly employee works on an as-needed basis across the departmen

You can also text FOX to 609-853-5114 to learn more! FOX Rehabilitation is an equal opportunity employer. Part-Time and FOX Flex (PRN) will be pro-rated. New Grads-FOX offers a widely recognized Emerging Professionals Mentor Program!.

Central Sterile Processing Training Specialist - CSPD - Day Flex. This is a full time day flex position at New York-Presbyterian/Columbia University Medical Center.

Job Description The Company Friedman Vartolo LLP is a rapidly growing New York based real estate and default services law firm with 300+ employees across six states. The firm prides itself not solely on its superior legal product, but also on its innovative approach to business and problem solving. We offer a fresh, fast-paced energy, with a startup vibe. The Position We are seeking an Entry-Level Paralegal to join our rapidly growing team. We're looking for bright, enthusiastic individuals, who will bring a strong work ethic and eagerness to grow alongside the firm. The firm is actively searching for applicants who are confident that they are capable of great things and is comfortable training intelligent individuals with limited prior experience. Responsibilities • Draft documents such as motions, pleadings, correspondence, and other legal documents., • E-filing with various court systems., • Document recording., • Maintain client and case files., • Correspond with and update clients., • Maintain filing/document system., • Organize and maintain the group's calendars, provide & adhere to legal deadlines., • Organize and archive the documents related to completed and ongoing litigations., • Prepare reports for attorney(s). Requirements • Superior organizational skills, research, and writing skills., • Detail oriented., • Independent worker; Deadline driven., • Able to manage a heavy workload., • Confident and comfortable on the phone., • Works well under pressure, • Excellent time management skills., • Bachelor's degree required, • Internship experience a huge plus! Compensation/Benefits This is an entry level position. Compensation is $18/hour. We also offer a full benefits package, including medical/dental/vision, Flex Spending Account, fitness reimbursement and 401k with match. ADA Compliance Consistent with the Americans with Disabilities Act (ADA), it is the policy of Friedman Vartolo to provide reasonable accommodations when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Friedman Vartolo. If you require a reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, please contact Recruitment at to request an accommodations. Location This position is located in our NYC office. Job Posted by ApplicantPro

W 18th St [Retail Associate / Team Member] As a Stock Associate at Williams-Sonoma, you'll: Utilize design expertise to assist clients in one on one consultations in the store and in-home regarding the design of their living spaces; Perform productive in-home consultations including the ability to a

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Broadway [Retail Associate / Team Member] As a Stock Associate at Williams-Sonoma, you'll: Utilize design expertise to assist clients in one on one consultations in the store and in-home regarding the design of their living spaces; Perform productive in-home consultations including the ability to ac

Pottery Barn - Full time [Retail Associate / Team Member] As a Stock Associate at Pottery Barn, you'll: Scan shipment as delivered; Ticket and stock merchandise in the stock room or prepare for immediate distribution to the sales floor; Provide feedback to supervisor regarding inventory levels and d

Complete Care at Chestnut Hill - Certified Nursing Assistant (CNA) Complete Care at Chestnut Hill - Passaic, NJ Per Diem "At Complete Care Chestnut Hill, your voice is heard, your work is valued, and your compassion drives everything we do.Why You’ll Love It Here: Competitive pay shift differentia

Full-Time | Flex Days (7a-7:30p) | Nights (7p-7:30a) | Jamaica Hospital Medical Center | Queens, NY. Jamaica Hospital Medical Center, a 402-bed fully accredited teaching hospital and Level I Trauma & Thrombectomy-Capable Stroke Center, is seeking two experienced Clinical Nurse Managers to lead our E

Assist management in planning for receipt of shipments to determine cost-effective receipt and any additional staffing needs. Process shipments as delivered. Pack and log merchandise as required for shipments.

Registered Nurse (RN) - Neuro Critical Care Full Time Flex - 72 hours/pay period Day/Midnight Rotating Shifts (Hours: 7a-7p / 7p-7a) Weekends & holidays as required Newark, DE The Neuro Critical Care Unit is an 18-bed ICU on 2D focused on the care of neurological and neurosurgical patients. Must ha

Security Officer, Part Time Security. Allied Universal is hiring a Security Professional Flex Officer. As a Security Professional Flex Officer, you'll use our exclusive shift-pickup platform to view and claim open shifts based on your availability - giving you the freedom to build a schedule that wo

You're excited about this opportunity because you will.Exemplify the highest level of customer service standards to internal and external customers.Assist management in planning for receipt of shipments to determine cost-effective receipt and any additional staffing needs.Process shipments as delive

Luxury Assisted Living Jobs - Resident Caregivers & CNAs.Offering full-time and part-time positions at large assisted living company in America.Rated as top place to work!Looking to join a leader in Assisted Living to grow your career?We employ thousands of associates nationwide and we're hiring

With a career at HMSHost, you really benefit! We Offer.Health, dental and vision insurance.Generous paid time off (vacation, flex or sick).Meal and Transportation Benefits.Training and exciting career growth opportunities.Referral program - refer a friend and earn a bonus.Benefits may vary by positi

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Nuclear Medicine Technologist - Full Time - Day Flex - Weill Cornell. This is a full-time day flex position located at our NYP/Weill Cornell site. Join a healthcare system where employee engagement is at an all-time high.

Flex Cares Program: Non-profit company match + pet adoption coverage. Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It's hard to believe that it's 2025 and paying rent on time is expensive, inflexible, and difficult.

Hospice RN Case Manager – Downtown Manhattan | Field-Based | 4 Patients/Day + Flex Time.

While you may not be a scientist or technologist, you are interested in the worlds of science and technology and excited by the prospect of working in a Science Center. Greet and welcome guests as they enter the Science Center as well as throughout the building and assist guests with orientation and

Associate Designer – Juniors Sweaters Location: On-site (Mon–Thurs, 9:00 AM–6:00 PM) WFH: Fridays (Occasionally Remote) Salary Range: $57,000 – $66,500 / year (DOE) Experience Level: Associate 5+ years Education: Bachelor's Degree About RDG Global At RDG, we are a U.S.-based apparel design and manufacturing company with a global reach. We’re known for our bold trend direction, proprietary labels, and licensed brand partnerships. Our team works with top national retailers to deliver trend-right, high-quality fashion across multiple categories—Juniors, Girls, Contemporary, Women's Plus, and Activewear. Join us and become a part of a creative, fast-paced, and highly collaborative team that’s shaping the future of retail fashion. Position Overview We’re seeking a talented and trend-savvy Associate Designer with a strong background in Juniors sweaters. The ideal candidate is passionate about knitwear, understands the junior customer, and thrives in a team environment where innovation, speed, and collaboration are key. You’ll work closely with the Senior Designer to conceptualize, design, and develop seasonal sweater collections for major retailers, aligning with pricing, aesthetic, and brand strategy. Key Responsibilities • Research market trends, yarn innovations, and silhouettes to inform seasonal concepts, • Support the Sr. Designer in developing collections for private label and licensed brands, • Prepare inspiration boards, trend reports, and seasonal color palettes, • Create detailed flat sketches (Adobe Illustrator or hand-drawn) and tech packs, • Collaborating with the CAD team on artworks, layouts, and sketch presentations, • Participating in customer market appointments and occasional travel, • Coordinate directly with overseas factories throughout development, • Source yarns and trims, manage swatches, and attend relevant trade shows (e.g., Spinexpo), • Attend fit sessions, review counter samples, and ensure design integrity is maintained, • Manage sample tracking and ensure timely follow-up with factories, • Support cross-functional communication between design, production, technical, and merchandising teams What We're Looking For • Bachelor's Degree in Fashion Design, • Minimum 5 years of design experience focused on sweaters, • Strong knowledge of sweater construction, stitches, yarns, gauges, and costing, • Proven ability to interpret trends for the Juniors market, • Private label experience and familiarity with major U.S. retailers, • Excellent sketching ability (Illustrator and/or hand), • Highly proficient in Adobe Creative Suite (Illustrator, Photoshop), Microsoft Office, • Strong organizational and time management skills, • Detail-oriented, creative, and able to work independently or in a fast-paced team environment Why Join Us? • Competitive salary, • Comprehensive benefits: Medical, Dental, Vision, 401(k), HSA/FSA, • Paid time off: Vacation, Sick Days, Personal Days, Flex Holidays, • Short- & Long-Term Disability, • Commuter benefits, • Collaborative, inclusive company culture, • Opportunities for growth and creative input Ready to Apply? If you’re passionate about designing sweaters for the Juniors customer and want to work in a company where your ideas matter—we’d love to hear from you.

Principal Associate, Data Scientist - US Card (New To Credit Team) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The New to Credit Data Science team develops machine learning models for marketing, risk, and valuation. These models help our business partners make informed marketing and underwriting decisions throughout the credit card lifecycle. We prioritize advanced modeling techniques, alternative data sources, and robust infrastructure to enhance decision accuracy and efficiency. Additionally, we conduct thorough statistical analysis to generate insights that influence various business strategies. You will collaborate with data scientists, business analysts, and software engineers on all stages of model development. This work will be conducted in a supportive environment that values your contributions, encourages new responsibilities, promotes ongoing learning, and rewards innovation. Role Description In this role, you will: * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years' experience in Python * At least 3 years' experience with building machine learning models, with at least one year of experience with building GBM models * At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $144,200 - $164,600 for Princ Associate, Data Science McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features., • Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is:, • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms., • Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences., • You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF., • You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications:, • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:, • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics, • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics, • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics, • At least 1 year of experience leveraging open source programming languages for large scale data analysis, • At least 1 year of experience working with machine learning, • At least 1 year of experience utilizing relational databases Preferred Qualifications:, • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics), • Experience working with AWS, • At least 4 years' experience in Python, Scala, or R, • At least 4 years' experience with machine learning, • At least 4 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications:, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications:, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

With a career at Hudson, you really benefit! We Offer: • Health, dental and vision insurance, • Generous paid time off (vacation, flex or sick), • 401(k) retirement plan with company match, • Company paid life insurance, • Tuition reimbursement, • Employee assistance program, • Training and exciting career growth opportunities, • Referral program – refer a friend and earn a bonus About the Company: Avolta is the leading global travel retail and food & beverage player, enhancing every traveler’s journey through innovation and seamless execution. Operating in 73 countries with more than 1,000 locations, Avolta delivers a diverse, world-class experience across retail and dining. In North America, Avolta is comprised of HMSHost, Hudson, and Dufry. Together, the company operates over 2,000 stores across travel convenience, specialty retail, duty free, and food & beverage in travel venues, including airports, commuter hubs, landmarks, and tourist destinations, serving millions of guests each year. Purpose: The Assistant Buyer provides operational support to the Buyer of an assigned category of business by contributing to merchandise selection in line with market trends, margin objectives, and broader strategic direction of the company. Essential Functions: • Interacts with vendors to gather information for item setup, problem resolution and purchasing of product, • Analyzes product performance and identifying growth opportunities and liabilities, • Oversees purchase orders including order writing, changes, cancellations, ensuring key shipments are delivered and processed, • Develops working knowledge of the buying functions including merchandise selection, negotiation, pricing, and store merchandising, • Works as intermediary between buyers and vendors to resolve issues including out of stocks, cost adjustments and new product selection., • Reviews and analyzes daily/weekly reports, subsequently highlighting noteworthy achievements or possible concerns to the relevant buyer, • Assists in plan-o-gram development, • Assists in planning/coordination of availability of products for new store openings Reporting Relationship: The Assistant Buyer reports into the Buyer Major Interdependencies: Marketing and Communications, Planning, Supply Chain, Operations Minimum Qualifications, Knowledge, Skills, and Work Environment: • Education and Experience: The combination of education and professional experience must exceed 3 years:, • In a technical role: Requires 3 years in retail, • A bachelor’s degree in a business, marketing, or management program related to the functional area can count for 1 of the 3-year requirement, • An MBA or a master’s level degree in a program related to the functional area can count for an additional 1 years of 3-year requirement, • In the industry: 3 years of retail experience, • Specialized Training:, • Training that leads to competency using financial tools; knowledge of concept profitability and how to use market trend information, • Specialized Skillset/Competencies/Traits, • Business acumen and also has the mindset required to understand the long-term implications of buying decisions and to advance the organizations goals, • Demonstrated history of understanding the needs of the business, stakeholders, the employee population, and individual circumstances Location: These positions are based at the Retail Center of Excellence in East Rutherford, New Jersey and requires regular/hybrid attendance. Disclaimer: All job requirements are subject to change to reflect the evolving position requirements or to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a threat or risk to the health and safety of themselves or other employees. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with Federal and State Laws). Continued employment remains on an "at-will" basis. Hudson and HMSHost are equal opportunity employers and do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

TWP is currently seeking an Assistant Technical Designer to support the development process of our domestic and overseas samples. This person will be responsible for assisting in the execution of the technical design process from initial concept to approved SMS. 3D design knowledge and Gerber AccuMark experience preferred. The role reports directly to the Senior Technical Designer and is based in our NYC office. Responsibilities: • Compile and catalogue weekly fit lists for all product categories including wovens, embroidery, and cut/sew, • Prepare for weekly fittings by measuring and evaluating samples, pulling all relevant past samples and/or references, • After fittings, assist in updating Tech Packs, including technical drawings, construction details, measurement specs, ensuring accuracy throughout the development process, • Manage pattern library, ensure all patterns are received and organized in the shared drive and physical copies stored in filing cabinets, • Review and audit cutters must be for all purposes including pattern pieces, seam allowances, remarks and trims. Update fusible qualities with confirmed fabrics, • Create muslin and/or 3D drapes for select outsourced patterns to ensure design intent was followed, • Conduct fusible testing for confirmed fabrics before cutting to ensure correct weight, drape and hand feel, • Work closely with senior technical designers to maintain brand standards and ensure fit consistency across the collection, • Provide support to Cut and Sew development process in collaboration with Lead T.D and design team by translating design intent into specification tech packs, including detail technical sketches, measurements, and construction details, • Organize and maintain records of all creative development process for seamless production pass off, • 3-5 years' experience, • Strong organizational and time management skills, • CLO and/or Browzwear 3D Fashion Design proficiency a plus, • Moderate to strong understanding of pattern marking and garment construction, • Gerber AccuMark experience a strong plus, • Excellent knowledge of Excel, Photoshop, Illustrator, • Trained in PLM, Flex PLM. Kubix Link PLM a plus, • Strong verbal and written communication skills, • Open willingness to partner with cross functional teams, • Strong attention to detail, • Proficiency in Excel, outlook, and other Microsoft programs, • College degree in Fashion education preferred

Our client, a leading fashion / lifestyle brand, is looking to hire an Omni Channel Planning Manager on a contract basis. This role is full-time hours on a hybrid schedule, expected to last until June 2026. Key Responsibilities Strategic Planning & Forecasting • Lead the development of pre-season and in-season financial plans (sales, margin, inventory, receipts) across channels, ensuring alignment with corporate and merchant objectives., • Partner with Merchandising and Demand Planning to create omnichannel assortment and inventory strategies that support sales and profit goals., • Analyze historical performance, trend data, and market dynamics to forecast sales and optimize inventory by classification, style, and channel., • Partner with Demand Planning and Inventory Management to develop strategies for core and always-in-stock programs., • Monitor sales, margin, and inventory performance weekly to identify opportunities and risks to financial objectives., • Partner with Merchandising and Marketing to plan, execute, and evaluate promotions, ensuring discount strategies are financially sound and aligned with inventory health., • Leverage performance data to recommend promotion cadence, depth, and product focus that drive incremental sales while protecting margin., • Lead the markdown planning process, recommending timing, depth, and segmentation of markdowns to optimize sell-through and minimize aged inventory., • Collaborate with Allocation, Demand Planning, and E-commerce Operations to ensure inventory flow and promotional quantities support demand across both stores and online., • Present in-season recaps and forward-looking action plans to senior leadership, highlighting key learnings, performance drivers, and financial implications., • Develop and manage integrated inventory strategies that flex across channels to support shifting demand patterns and omnichannel fulfillment., • Partner with Supply Chain, Merchandising, and Allocation to ensure buy quantities and flow strategies support business objectives and customer needs., • Use analytics and demand insights to optimize channel-specific assortment depth and breadth, maximizing sales conversion and inventory productivity., • Present financial forecasts and performance analyses to senior leadership, articulating key drivers, variances, and actionable insights. Qualifications • Bachelor’s degree in Business, Finance, Merchandising, or related field., • 6+ years of experience in merchandise planning, financial planning, or inventory management within a specialty retail or consumer goods environment., • Proven success managing omnichannel or multi-store planning functions., • Advanced proficiency in Excel and planning systems (e.g., JDA, Oracle RPAS, Anaplan, or similar)., • Strong analytical, financial modeling, and problem-solving skills with a strategic mindset., • Excellent communication and presentation skills; able to influence cross-functional partners and leadership. Please submit a resume and portfolio for consideration. You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

Company Overview: Apparel that comes from the Japanese values of simplicity, quality and longevity. Designed to be of the time and for the time, LifeWear is made with such modern elegance that it becomes the building blocks of each individual’s style. A perfect shirt that is always being made more perfect. The simplest design hiding the most thoughtful and modern details. The best in fit and fabric made to be affordable and accessible to all. LifeWear is clothing that is constantly being innovated, bringing more warmth, better design, and better comfort to people’s lives. Position Overview: The Inventory Controller will manage multiple divisions to drive sales, profit and inventory targets. By analyzing inventory risks and opportunities and implementing inventory allocation strategies, this position will control the appropriate inventory levels in stores, reducing the out of stock and maximizes sales opportunities Job Description: · Project monthly and weekly inventory based on item history and market trend · Project end of season inventory by item and plan carryover items · Achieve all divisional targets (store inventory budget, sales target, and seasonal target, out of stock target) · Analyze weekly sales and create action plan with merchandise planner to improve sales · Plan and execute daily allocation to each store · Maintain system settings by item · Partner with area managers and store managers on allocation needs · Assist with other projects as assigned Requirements: · Bachelor’s Degree · High level of experience and proficiency in Excel, specifically in an allocation capacity · Proficiency in other Microsoft Office products- Word, PowerPoint, Outlook · Excellent analytical and mathematical proficiency with strong business and financial analysis skills · Maintain a positive and friendly attitude and the ability to work with a variety of personalities · Ability to prioritize and handle multiple tasks with a willingness to flex schedule based on needs of business Salary: $84,000 - $92,000 annually* *The offered salary or salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills and expertise, and location of the position. As an Equal Opportunity Employer, UNIQLO USA does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law.