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Job Description Company: Strategic Content Imaging Corp Title: Production Coordinator Job Category: Administration Requisition Number: PRODU001024 Job Type: Full-Time Secaucus, NJ, 07094, USA Brief: Command Digital is seeking a detail-oriented Production Coordinator – Healthcare/Direct Mail to manage print and mail projects from order entry through delivery in a fast-paced, regulated environment. This role serves as a liaison between clients, sales, and production, ensuring jobs are accurate, on schedule, and compliant with healthcare requirements. Ideal candidates have print or direct mail experience, strong organizational skills, and the ability to manage multiple projects while meeting tight deadlines. Detailed: Position SummaryCommand Digital is seeking a detail-oriented Production Coordinator to serve as a key liaison between clients, sales, and production teams in a fast-paced, healthcare-regulated environment. This role is responsible for managing projects from order intake through delivery, ensuring accuracy, efficiency, compliance, and high-quality output while meeting client expectations and strict service level agreements.Key Responsibilities • Partner with Account Executives, clients, and production teams to define project scope, production methods, and timelines, • Coordinate production schedules with internal departments and external vendors to maximize efficiency and meet deadlines, • Monitor job progress, track orders, and proactively communicate status updates, including any delays, to clients and internal stakeholders, • Review projects from conception through delivery to ensure they remain on schedule, within budget, and aligned with all specifications, • Ensure all job requirements are complete and accurate prior to production; clarify missing or unclear information, • Enter and manage job orders in Avanti, maintaining accurate and up-to-date records, • Create and manage purchase orders for outsourced services, including offset printing and binding, • Troubleshoot and resolve client, administrative, and production-related issues in a timely and professional manner, • Provide clients with knowledgeable guidance on Command Digital’s products and services, • Maintain consistent communication with Account Executives regarding project status and client interactions, • Collaborate with Production and Department Managers to proactively plan and execute projects, • Process billing within five (5) days of shipment, ensuring accuracy of quantities, shipping details, and documentation (BOL, charges, etc.), • Ensure strict adherence to healthcare regulations, including SLA requirements, data security, and compliance standardsQualifications, • Experience in print production, direct mail, or manufacturing coordination (healthcare experience preferred), • Strong project management and organizational skills in a high-volume environment, • Experience with Avanti or similar MIS systems preferred, • Excellent communication and client service skills, • Strong attention to detail with the ability to manage multiple projects simultaneously, • Problem-solving mindset with the ability to troubleshoot and resolve issues independently, • Working knowledge of production workflows, scheduling, and vendor coordinationPreferred Attributes, • Experience working in a regulated healthcare or data-sensitive environment, • Ability to prioritize effectively and meet tight deadlines, • Strong collaboration skills across cross-functional teamsBenefitsCommand Digital is proud to offer competitive pay and a comprehensive benefits package, including:, • Medical, dental, and vision coverage, • Company-paid life insurance, • Voluntary long-term disability coverage, • Paid time off, • Company-paid holidays, • 401(k) with company match, • Employee Assistance Program, • Employee recognition programs PM21 #PM21 PI8b7ddcb58b4b-25405-40021651

Job DescriptionBenefits: • Bonus based on performance, • Dental insurance, • Health insurance, • Paid time off MR. AIR NYC pride ourselves on our reputation for top quality team, installation and service work, within a guarantee timeline. We are looking for a HVAC Service Technician that has experience in maintenance and service mini split units. We will develop you to become part of our team and grow with us. You have past experience in an HVAC service technician role and hold an EPA certification. A team player who is comfortable working independently, you love the feeling of a job well done and take pride in completing customer jobs with efficiency. A positive attitude is a must! Responsibilities: • Repair or service heating, ventilating, and air conditioning (HVAC) systems to improve efficiency, such as by changing filters, deep cleaning units, or refilling non-toxic refrigerants., • Establish customer rapport to ensure the highest levels of satisfaction, • Test pipe or tubing joints or connections for leaks, using a pressure gauge., • Test electrical circuits or components for continuity, using electrical test equipment, • Repair or replace defective equipment, components, or wiringQualifications:, • Past experience as an HVAC service technician, • Experience in Ductless Mini Split system, • Valid Drivers License, • EPA Certification, • Experience with operation and maintenance of heat pumps, air handlers, and central systems, • Ability to climb ladders, crawl, and lift 40 pounds

Job Description About the Client: Our client is an established food manufacturing company specializing in baked goods and specialty bread products. The organization operates in a fast-paced production environment, supplying products to retail and foodservice partners while maintaining a strong focus on quality, food safety, and operational efficiency. Role Overview: The HVAC Technician is responsible for the installation, maintenance, troubleshooting, and repair of HVAC and refrigeration systems in a manufacturing facility. This is a hands-on, plant-based role focused on maintaining equipment uptime, supporting production operations, and ensuring systems operate efficiently and safely. The ideal candidate has strong experience working with industrial HVAC systems, refrigeration units, and facility equipment, and is comfortable performing preventive and corrective maintenance in a fast-paced setting. Job Requirements: • 3 years of experience in HVAC, refrigeration, mechanical, or related technical roles., • Experience working with industrial HVAC systems, refrigeration units, and freezers., • Strong ability to troubleshoot, diagnose, and repair mechanical and electrical systems., • Knowledge of preventive and corrective maintenance practices in manufacturing or industrial environments., • Familiarity with building systems, chilled water, hot water, and steam systems., • Basic understanding of automation systems or building management systems (BMS)., • Experience working with hydraulic and pneumatic systems is a plus., • High school diploma or equivalent required; technical certification preferred., • Ability to use Microsoft Office and/or CMMS systems for maintenance tracking., • Strong hands-on mechanical aptitude and problem-solving skills., • Detail-oriented and safety-focused mindset., • Ability to work independently and within a maintenance team., • Reliable, proactive, and responsive to urgent equipment issues., • Standing, walking, bending, and performing physical tasks throughout the shift., • Lifting and handling materials up to 50 lbs, including tools and equipment., • Comfortable working in manufacturing environments with exposure to heat, cold, and noise., • Maintain HVAC Systems: Install, repair, and maintain heating, ventilation, air conditioning, and refrigeration systems across the facility., • Perform Troubleshooting: Diagnose and repair issues in HVAC, refrigeration, and mechanical systems to minimize downtime., • Support Production Operations: Ensure all equipment is functioning properly to support continuous manufacturing operations., • Monitor Systems: Track the performance of building systems and automation controls, and respond to alarms and system issues., • Repair Mechanical Systems: Maintain and repair chilled-water, hot-water, and steam systems that support facility operations., • Execute Work Orders: Complete maintenance tasks in order of priority and in line with production needs., • Maintain Equipment: Perform preventive maintenance on HVAC and related systems to improve reliability., • Ensure Compliance: Follow all safety policies, GMP standards, and food safety regulations., • Support Inventory Needs: Communicate required parts, tools, and materials to supervisors., • Assist Maintenance Team: Collaborate with the maintenance team on equipment and continuous improvement initiatives. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. 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. If you require a reasonable accommodation during the application or interview process, please contact us at so we can assist you.

Who You Are: You are hands-on, detailed-oriented, collaborative, and have strong desire for career growth in Supply Chain. You love opportunities to work cross functionally, learn new topics and improve processes. You’re focused on delivering superior customer service to your partners throughout the business and are solutions driven. What You’ll Do: • Monitor, track, and communicate the progress of inbound shipments to ensure efficient and timely updates, • Responsible for global inbound shipments to North America distribution centers, • Booking exception management in Origin Cargo Management (OCM) providers system(s), • Communicate shipment updates with stakeholders i.e. brand operations/production, customer service, sales and the DC, • Daily follow-up with service providers (ocean, air, dray carriers) regarding shipment status, • Responsible for driving issue resolution to enable timely receiving of shipments at Distribution Centers, • Partner with Customs team for any documentation or import issues, • Prepare and publish reports related to Inbound transportation status and KPI performance, • Attend weekly inbound meetings and provide insights to stakeholders, • Identify and implement internal process improvements and new ideas to maximize service, • Develop best practice for import logistics processes You’ll Need to Have: • 1-2 years of relevant work experience within logistics, • Strong written and verbal communication skills, • Intermediate Microsoft excel skills, • Demonstrated ability to work in a fast-paced, “self-starter” environment, • Highly organized and detail-oriented, • Excellent time management skills, • Team-player with excellent relationship-building We’d Love to See: • Degree from a four-year college or equivalent experience, • Apparel or footwear experience preferred Capri Perks: • Generous Paid Time Off & Holiday Calendar, • Summer Fridays, • Internal Mobility Across Brands, • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program, • Commuter Benefits, • Gym Discounts The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience. About Us: CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . What you need to succeed (minimum qualifications) Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. What will give you a competitive edge (preferred qualifications) Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Benefits and Perks to Help You Keep Climbing Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Lead Ground Maintenance Technician (GMT) in a stationary role, you will join Delta’s Ground Support Equipment team, where you will lead and supervise a group of Stationary Ground Maintenance Technicians (GMT) Stationary Ground Maintenance Mechanics (GMM) and Maintenance Utility 1 Employees (MUE1) in planning and laying out work. The Lead GMT utilizes appropriate equipment and material to accomplish all routine and non-routine maintenance functions on stationary ground support equipment. Summary of responsibilities: Electrical/mechanical troubleshooting and repair, and other technical work as required on all Stationary Ground Support Equipment. Completes data entry to record work assignments and will communicate with other Company personnel as needed. Inspecting, servicing, troubleshooting, repairing, replacing, and overhauling all ground support equipment and components, such as jetways, baggage conveyor systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. Delta Air Lines will never ask candidates for money throughout our recruitment process, including for any pre-employment screenings. All email communications with Delta’s recruitment team will come from a Delta email domain. If you have any questions about the legitimacy of an outreach from Delta’s recruitment team, you can contact . Consistently prioritizes safety and security of self, others, and personal data. Embrace diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. Must have a valid driver's license. Must be proficient in English. Must have successfully completed a two-year degree at a post-secondary technical school or have a minimum of three years of experience in Ground Support Equipment maintenance. Achieve a satisfactory score on entry tests structured to determine ability to perform required tasks. Ability to lift items weighing up to 70 pounds. Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays. Have a thorough theoretical and working knowledge of stationary ground support equipment (GSE). Practice safety and environmentally conscious behaviors in all operational processes and procedures. Proficiency in reading and comprehending mechanical, electrical, hydraulic, and pneumatic schematics. Experience with industrial AC/DC controls, high and low voltage systems. Must have Programmable Logic Controller (PLC) experience with some programming experience in systems, such as Allen Bradly PLC5, SLC 500, Control Logix, and Micro Logix systems. Must have excellent written and verbal communication skills and provide outstanding customer service. Lead GMTs should be able to comprehend and apply information contained in detailed and complex technical manuals, procedural manuals, blueprints, etc. with no assistance. Have good problem-solving skills and the ability to work independently in a variety of environments. Must have a thorough theoretical and hands on working knowledge of stationary ground support equipment assigned to the station with heavy emphasis passenger boarding bridges, baggage conveyor systems - mechanical/control systems, 400HZ ground power, and A/C - chiller system operation and point of use equipment. Basic knowledge of Microsoft Office software products (Word, Excel, Outlook, and PowerPoint). Our culture is rooted in a shared dedication to living our values – Care, Integrity, Resilience and Servant Leadership – every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives. 401(k) with generous company contributions up to 9%. New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31). In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period. LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program. 10 paid holidays per calendar year. Birthing parents are eligible for 12-weeks of paid maternity/parental leave. Non-birthing parents are eligible for 2-weeks of paid parental leave. Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits. Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages. Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health. Domestic and International space-available flight privileges for employees and eligible family members. Career development programs to achieve your long-term career goals. World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint. Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies. Recognition rewards and awards through the platform Unstoppable Together. Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. The Brand Experience manages all aspects of Scale's brand, including the company's front door ___. It's often a prospect's first real experience with our brand and what we build. The Web Experience Manager will lead our small team of developers and designers, and take full ownership of the strategy, operations, and quality of our digital presence. This role sits at the intersections of brand, engineering, marketing, and design. You'll translate priorities from cross-functional teams into a clear roadmap, hold a high bar for quality, expertly leverage modern AI web tools, and make sure the team has the clarity and support they need to do their best work. You're a people-first leader with enough technical depth to make good calls quickly. You will: Lead the Team • Own the web roadmap by maintaining, prioritizing, and communicating clearly so the team is always working on what matters most, • Manage and develop a lean team of web developers and designers by supporting career growth, handling resource allocation, and proposing and scoping new initiatives, • Own the quality of everything that ships by building the testing and review framework, managing deployments, and setting the standard for what "done" means, • Design and run the planning around urgent issues; set clear response-time SLAs for site performance and internal support requests and hold to them, • Build the systems to keep marketing sites secure, performant, and compliant 24/7, • Oversee Scale's integrations on web properties by monitoring for performance, output quality, and consistency, • Manage relationships with web vendors, internal security, and IT teams, • 4+ years in web management, digital operations, or a related field, including direct people management, • Technical fluency: You're comfortable in conversations about architecture, deployment pipelines, or front-end frameworks, even if you're not writing the code, • Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work, • Operational instinct: you keep clean documentation, run tight sprint cycles, and treat QA as a feature, not a chore, • Calm under pressure: You're the person who steadies the team when something breaks About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. • Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems., • Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments., • Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools., • Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure., • Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments., • Strong understanding of frontier model evaluation methodologies and the current research landscape., • Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow)., • Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD., • Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models., • Experience collaborating with operations or external teams to define high-quality human annotator guidelines., • Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis., • Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Plumbing Technician & Support Professional Come join the TOTO USA Family! The bathroom is where we start and end our days - it's an everyday luxury we'd never want to do without. TOTO believes that people should have the greatest comfort, convenience and performance design possible in the bathroom. Improving people's lives is what inspires every TOTO innovation. TOTO is one of the world's largest plumbing products manufacturers. We offer a complete line of residential and commercial plumbing fixtures and fittings, faucets, accessories, shower and flush valves, as well as lavatories, toilets, air baths and urinals. More than 1,500 TOTO engineers and their colleagues are committed to achieving the seamless integration of performance, conservation, technology, and innovation. Perks of the job, · Excellent benefit package which includes medical, dental, vision, and life insurance. · Paid vacation, Paid Holiday & 401K, Company match after (1) one year that vests immediately upon participation · Collaborative, dynamic work environment within a fast-paced awesome company MAJOR FUNCTION: Plumbing Technician & Support Professional performs tasks in the after sales service of products based on verbal and written instructions such as but not limited to Standard Operations Procedures (SOPs), Standard Inspection Procedures (SIPs), Work Orders (WO’s). TOOLS AND EQUIPMENT: May include, but not limited to: hand tools, power tools, company van, storage unit, parts kits, voltage meter, testers, water valves, electronic components, after service manuals, company tablet, company phone, company gps, cameras, PPE, safety kits, disposal materials, etc... MATERIALS: May include, but not limited to: Contact with: ABS plastic parts, silicone rubber parts, brass and stainless steel parts, cardboard boxes, wooden pallets, adhesive labels, vitreous china products. Contact with oil lubricant/preservative as well as powder mold release/preservative on vendor parts. Utilizes Windex, alcohol, acetone, Loctite, silicone oil, silicone grease and cleaners such as Lysol. ESSENTIAL DUTIES AND RESPONSIBILITIES: • PLUMBING TECHNICIAN & SUPPORT PROFESSIONAL MAIN DUTY - Performs repairs on Washlets, Neorest, or any TOTO products in the field., • MAIN DUTY - Call Center / Handles inbound customer calls, follow ups, scheduling, troubleshooting, etc., • Handles Tech Service email queues / chat queues as needed., • Showroom visiting, making a relationship, responding their inquiry, • Must be able to travel on behalf of TUS. USA / Canada – Inspection / Repair / Other, • Follows all company policies and procedures, including, but not limited to the employee handbook., • Must locate, read, understand, and follow SOP’s, SIP’s, and/or WO’s., • Performs duties outlined in work instructions such as SOP’s/SIP’s., • May work with raw materials in the process., • Assembles/Inspects various parts in accordance to SOPs/SIP’s., • Maintains accurate inventory count as appropriate in process., • Performs quality checks during the process as outlined in SOP/SIP., • Maintains good housekeeping practices (safe, neat, and orderly work area per 5S program), follows all safety rules and abides by all applicable local, state and federal laws and regulations. Follows and supports ISO related activities, and encourages other associates to follow ISO recommendations., • Assists with training personnel as needed., • Performs other duties as assigned., • Actively contributes to continuous improvement within their area as well as the After Service Department. EDUCATION AND EXPERIENCE: High school diploma, GED or equivalent with a minimum of 3 years mechanically related experience (Plumbing / HVAC / Electronic Repairs / etc.). Must be able to use the Windows platform and all related programs. Must possess basic mathematical and measurement skills (addition, subtraction, multiplication, division and an understanding of fractions and decimals). Ability to read and comprehend basic written instructions and procedures. PHYSICAL REQUIREMENTS: The physical demands of a Plumbing Technician & Support Professional described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Technical Support Specialist regularly required to stand, use hands to finger, handle, twist or feel; and reach with hands and arms., • Frequently required to walk; stoop, kneel or crouch; and speak or listen., • Frequently required to operate a vehicle for an extended amount of time, maintaining an acceptable driver’s abstract., • Lifting as required in job and SOP, • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus., • Where appropriate the use of personal protective equipment (PPE) including, but not limited to, hearing protection, hard hats, disposable gloves, shoe covers, safety vest, safety shoes, and company uniforms/hats., • Repetitive bending/pulling., • Repetitive movements of fingers, hands, wrists and arms., • Ability to lift fifty pounds repeatedly., • Ability to protect a customer’s property, sanitation, and disposal of hazardous material (bio / electronic). WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The work environment consists of an indoor office facility with limited heat in winter, not air conditioned in summer. Summer heat is moderate. Outdoor customer household. Minor exposure to odors from lubricants/preservatives as well as fumes from gas operated vehicles. Moderate noise levels are present. Job requires the use of personal protective equipment (PPE) that may include, but not limited to; protective gloves, ear plugs, safety glasses, protective sleeves, and safety shoes. Minimal possibility of accidents of a minor nature requiring first aid. Regardless of Position/Title, all employees are expected to provide the highest level of customer service and kindness for the TOTO organization. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. As an employee, you are expected to perform other duties, as assigned. TOTO USA is an Equal Opportunity Employer (EEO). All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. TOTO USA provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. We are committed to maintaining a drug-free workplace.

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations. Job Description We are seeking an experienced Industrial Hygiene leader to oversee and grow our consulting operations across the Northeast. This role is ideal for someone who excels at managing complex programs, leading high‑performing teams, and strengthening client partnerships. As the Regional Lead, you will direct large‑scale industrial hygiene projects, guide technical staff, and play a key role in expanding our presence in the Northeast market. Deep expertise in asbestos, lead-based paint, mold, and indoor air quality (IAQ) assessments is essential, along with strong regulatory knowledge and proven client‑facing capabilities. Responsibilities • Lead and manage industrial hygiene projects from initiation through completion, ensuring quality, compliance, and profitability., • Serve as the primary contact for strategic accounts and maintain strong, long‑term client relationships., • Conduct and oversee asbestos, lead-based paint, mold, and IAQ assessments., • Develop scopes, budgets, timelines, and proposals aligned with client and project goals., • Provide hands‑on technical leadership and mentorship to project managers and field teams., • Ensure compliance with OSHA, EPA, and all Northeast state regulations., • Drive business development efforts, including presentations, proposals, and participation in key client and industry events., • Represent J.S. Held at regional conferences, professional associations, and networking engagements. Qualifications • Bachelor’s degree in Industrial Hygiene, Environmental Health, Occupational Safety, or a related field., • Minimum of 10 years of industrial hygiene consulting experience, including at least 5 years in a leadership or project management role., • Relevant state asbestos and lead certifications for the Northeast (e.g., NY, NJ, MA, PA, CT)., • Additional mold/IAQ credentials (CIAQP, AIHA certifications, etc.) preferred., • Demonstrated track record of managing complex projects and leading multidisciplinary teams., • Strong business development, client management, and communication skills. Additional Information Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team’s needs. • Our flexible work environment allows employees to work remotely, when needed, • Flexible Time Off Policy, • Medical, Dental, and Vision Insurance, • 401k Match Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available. Please explore what we’re all about at . EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email and include “Applicant Accommodation” within the subject line with your request and contact information.

Hi, we're Nuts.com! Nuts.com is a self-funded, profitable, rapidly growing multi-channel DTC specialty food and wellness company with over 550 people on our team. We're changing the landscape of snacking on nuts, dried fruit, chocolate and more! We planted our roots in Newark, New Jersey during the Great Depression, selling premium nuts on Mulberry Street's open-air market. We've come quite a long way since then, taking our multi-generational family business online in 1999. Even after 97 years, we continue to pride ourselves in expertly sourcing the highest quality foods and treating our customers like family. What's our team like? We're driven, collaborative and entrepreneurial. Energy and passion power our business and we look for candidates who share in that excitement to help us continue to build something special. The role: The FP&A Manager is a senior individual contributor responsible for owning financial insights and decision support across key commercial and operational domains at Nuts.com. This role sits at the intersection of DTC commercial finance, ecommerce marketing analytics, and manufacturing / supply chain economics. The ideal candidate is deeply analytical but fundamentally business-minded, someone who understands how pricing, promotions, marketing spend, production costs, and operational constraints translate into contribution margin, cash flow, and profitability. This is a hands-on role in a fast-moving, high-SKU consumer business. You will be expected to go deep, move quickly, and influence outcomes. What you'll do: Planning & Forecasting • Own key components of the annual budget, reforecast, and rolling forecast processes, • Develop driver-based forecasts that connect commercial and operational assumptions to financial outcomes, • Pressure-test assumptions with business partners and surface risks, tradeoffs, and mitigation actions, • Prepare weekly and monthly performance reporting, including P&L, contribution margin, and key operating metrics, • Lead margin analysis (volume / rate / mix) across products, channels, and time, • Partner closely with Accounting during close to ensure analytical accuracy and alignment, • Translate complex results into clear, decision-ready insights for non-finance stakeholders Financial Modeling & Analytics • Maintain and enhance financial models, Build models to support pricing decisions, customer and product profitability analysis, unit economics analysis, and investment decision support, • Conduct scenario planning and sensitivity analyses to support strategic and operational decision making., • Own financial performance insights for DTC revenue, margin, and contribution profit, including pricing, promotions, discounting, and mix, • Partner with Merchandising and Growth to evaluate SKU-level profitability, promo ROI, and channel tradeoffs between DTC and wholesale;, • Partner with Merchandising, Marketing, Product, and Operations to develop budgets, forecast performance, and assess financial impact of initiatives., • Support customer acquisition and retention modeling including LTV, CAC, and funnel analytics., • Contribute to the creation and maintenance of scorecards, dashboards, and KPI reporting., • Identify and recommend margin improvement opportunities across pricing, SKU optimization, and value engineering., • Support channel-level performance analysis (DTC required; wholesale, marketplace, or Amazon a plus), • Identify and quantify margin expansion opportunities through pricing, assortment, and value engineering Operations & Cost Finance • Partner with Operations, Manufacturing, and Supply Chain in Cranford to analyze production costs, yield, labor efficiency, overhead absorption, and capacity utilization, • Assist in the development and maintenance of manufacturing cost standards and analyze purchase price, usage, yield, and volume variances, • Analyze fixed vs variable cost behavior across manufacturing, fulfillment, and distribution, • Translate operational drivers into unit economics at the pound, unit, package, and shipment level, • Assess margin impacts from volume, mix, and throughput changes What you’ll bring: • 6–9+ years of progressive FP&A or commercial finance experience, • 5+ years supporting a DTC or ecommerce business, with direct ownership of revenue, gross margin, and contribution margin analytics, • Demonstrated experience operating in small-to-mid sized businesses with lean teams, with a willingness to work in the weeds when needed, • Strong command of unit economics, contribution margin, and incremental profitability, not just gross margin reporting, • Hands-on experience supporting manufacturing, production, or distribution economics, including cost drivers and throughput constraints, • Working knowledge of absorption costing, standard costs, and operational variance analysis (price, usage, yield, volume), • Experience in high-SKU consumer or food businesses strongly preferred, • Ability to connect ecommerce marketing spend to financial outcomes, including contribution margin, payback, and cash flow, • Advanced proficiency in Excel and Google Sheets; experience with planning systems and BI tools a plus, • Proven ability to influence cross-functional partners through clear thinking, strong recommendations, and credibility, • High ownership mindset with strong attention to detail and bias toward action, • Excitement for working in a fast-moving, growth-oriented environment What we offer: • A high-growth and rewarding role in a foundationally strong and rapidly evolving business, • Annual Salary Range: $130,000 - $140,000 plus annual bonus, • Excellent benefits including a 401K Match, • Paid Maternity, Adoption and Paternity leave EEO STATEMENT Nuts.com is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, immigration status, age, sex or gender (including pregnancy), gender identity or expression (including transgender status), sexual orientation, marital status, veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws. Applicants with disabilities who require assistance or accommodation during the application or interview process should reach out to us at .

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description If you thrive in a team-oriented workplace that challenges your skills, to drive your career development, embraces diversity and rewards innovation, with competitive pay and great employee programs, join the Ainsworth (a GDI company) team today! Job Summary: We are seeking a skilled and dependable HVAC Journeyman to install, maintain, and repair heating, ventilation and air conditioning, systems. The ideal candidate has strong technical expertise, experience in commercial HVAC systems, and the ability to work independently or as part of a team. Key Responsibilities: • Install, troubleshoot, maintain, and repair HVAC systems., • Read and interpret blueprints, technical drawings, and equipment manuals., • Perform preventive maintenance to ensure systems operate efficiently., • Diagnose electrical and mechanical faults in HVAC systems., • Install and repair related HVAC components., • Test system performance using specialized tools and instruments., • Ensure all work complies with local codes, safety standards, and company policies., • Provide excellent customer service and explain work performed to clients., • Train and mentor apprentices or junior technicians as needed., • Candidate must be EPA, OSHA G-60 and F-60 certified Why work at Ainsworth? Ainsworth is growing at an unprecedented rate and to help attract and retain top talent, we provide benefits on your first day with us. We offer a wide variety of benefits including the following: Benefits: Comprehensive health, dental and medical benefits, including wellness supports, 401k matching and generous vacation Growth: In-house training and development, access to LinkedIn Learning and other professional development opportunities, Employee performance-based bonus program, where applicable Rewards: Service milestones and peer recognition plus Employee Discounts and Incentives Flexibility: Hybrid working models, where applicable Diversity: An inclusive organization that embraces diversity and belonging; work in a great team atmosphere with future potential for promotion within company While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted. Ainsworth is committed to building a diverse and inclusive workplace. Qualified designated group members are encouraged to apply as any reasonable accommodation of qualifications will be considered as per our Accommodation Policy, available upon request. Ainsworth is an integrated multi-trade company, offering end-to-end services and solutions for all asset maintenance and refurbishment requirements of our customers. We are continually striving to create better and more advanced products as well as provide the highest quality service. We are rapidly growing and need talented professionals to help drive our vision at becoming the best multi-trade company in the country! Join us…. Make a difference. #LI-On-site

Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side - embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. • Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value., • Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally., • Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap., • Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs - specific, evidence-backed product perspective with tradeoffs articulated., • Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel., • Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams., • Identify and develop expansion opportunities grounded in demonstrated customer value, • Represent customer reality to platform and leadership with enough credibility that it changes decisions., • Enterprise deployment ownership: has driven AI/ML or complex software products from contract to production at scale, with real integration, real security constraints, real change management., • Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why., • Customer trust-building: earns and maintains trust with demanding senior stakeholders over multi-quarter engagements; manages conflict without eroding the relationship., • Technical translation: bridges the gap between customer engineering teams and Scale platform engineers; does not relay messages, adds interpretation., • Operating in ambiguity: creates structure where there is none; makes decisions with incomplete information; does not wait for fully defined requirements., • Clear, precise communication: adjusts for audience (exec vs. engineer vs. PM); writes and speaks at the right level of detail; does not over-explain or under-explain., • 6+ years in product management, technical program management, or a customer-facing product ownership role., • Demonstrated record of shipping products or platform capabilities into large organizations - not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like., • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments., • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides., • Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash., • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs - not deep coding, but genuine comprehension of how systems work in production., • Direct experience with AI/ML platform products - data labeling, RLHF, fine-tuning workflows, or model evaluation pipelines., • Experience in a startup or early-stage environment where process didn't exist and had to be created. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. • Build features for agentic systems including multi-layered guardrails and data retrieval optimization., • Develop data pipelines and machine learning infrastructure to make data sources accessible by agents., • Collaborate with cross-functional teams to execute backend solutions for secure environments., • Participate in customer engagements to understand requirements and deliver technical solutions., • Define requirements with stakeholders and implement features until they are accepted., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. As Scale's Enterprise Field Marketing and Events team continues to grow alongside our expanding business unit, we seek a talented and motivated Field Marketing & Events Associate to support our Marketing & Communications team in their event and field marketing initiatives. These initiatives include but are not limited to third-party trade show sponsorships, Scale-hosted executive events, Scale-hosted practitioner events and meetups, webinars, and our annual flagship conference, Scale Leadership Summit. You will join a rapidly growing team with the opportunity to support event execution, impact lead generation and pipeline growth, and contribute to event programming with the largest names in AI. The successful candidate will have a solid understanding of marketing principles, strong project management skills, a strategic mindset, and a passion for AI & technology. • Event Planning and Execution:, • Support the execution of global conferences and events, helping coordinate timelines, agendas, sponsorship activations, and on-site or virtual operations, • Support event sponsorship programs by tracking assets, deliverables, and engagement opportunities across events and digital placements, • Support Scale hosted event logistics, including executive dinners, happy hours and customer events, • Coordinate/support Scale's virtual event program (webinars, fireside chats), • Maintain organized event plans, trackers, checklists, and internal documentation to ensure smooth execution and strong visibility across teams, • Partner with Product Marketing and design to help coordinate collateral, signage, digital assets, and other event materials, • Manage deliverables and track progress to ensure projects are delivered on time, • Assist with core operational tasks including invoicing, expense tracking, and budget monitoring, • Marketing Collaboration & Reporting:, • Collaborate cross-functionally with GTM, product marketing, communications, growth marketing, brand, and EPD teams to consistently articulate and share Scale AI's vision and value proposition, • Track event performance and provide detailed recaps, analytics, and recommendations for future optimization, • Travel:, • Willingness to travel up to 40% as required for event execution, • 3+ years of experience in event marketing and marketing campaign management, preferably within the technology sector, • Strong project management skills with the ability to manage multiple projects simultaneously., • Strong vendor management skills, • Previous experience managing third-party relationships and contracts, • Attention to detail and a proactive approach to troubleshooting, • Collaborative and positive attitude, with the ability to work across teams, including executive leadership, • Excellent written and verbal communication skills for interacting with executives and their teams, • Must be punctual, professional, reliable, highly detail-oriented, self-motivated, and results-driven, • Experience with CMS and other sales/marketing platforms (SFDC, Hubspot, Outreach, and virtual event platforms, etc.) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI builds the data infrastructure that powers the world's most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams - providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side, our customers - leading AI labs and enterprises - need precisely labeled, expert-curated data to train and evaluate their models. On the supply side, we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI - with dedicated engineering, design, and data science teams. • Scale's GenAI platform is how the world's leading AI companies - from frontier model labs to Fortune 500 enterprises - create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality., • These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable., • Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end - from strategy to execution to instrumentation. Task UX (Demand Side) - Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) - Own Scale's MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on - defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) - This PM owns the payment and incentive systems that serve Scale's global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments operations, and contributor experience. • Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact, • Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design, • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users, • Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities, • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation, • Establish business cases and projected return on investment to identify and prioritize opportunities, • Partner with finance and business leaders to manage impact on the profitability and growth of the overall business, • Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners, • 4-10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4-6 yrs, L5: 6-8 yrs, L6: 8-10+ yrs), • Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments, • Experience translating complex technical systems into clear product strategies - comfort engaging deeply with engineering and data science teams, • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences, • Experience building products from the ground up and iterating through the scaling journey of a business, • Experience in AI/ML, data infrastructure, or marketplace businesses, • Strong understanding of the AI landscape - model training workflows, data labeling, evaluation, and deployment, • Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI accelerates AI development by providing high-quality training data and infrastructure. We work with leading organizations to solve complex problems, enabling them to build transformative AI models. Join our team to shape the future of AI and push the boundaries of innovation. We are looking for a versatile Senior Motion Designer to join the Brand Studio at Scale AI. This is an exciting opportunity to help evolve Scale's brand, creating dynamic visual narratives for brand storytelling, translating creative direction into animated content and videos across a wide range of initiatives, including marketing campaigns, events, creative content development, and cross-functional collaborations. The ideal candidate is scrappy, thrives in a fast-paced, dynamic environment, is willing to experiment, and has exceptionally strong design fundamentals. You will: • Creative Execution: Lead the end-to-end production of high-fidelity motion graphics, from initial concept to final rendering and delivery, • Experimental R&D: Dedicate time to research and development of new design concepts, experimenting with emerging motion trends and technologies to keep the brand at the forefront of the AI industry, • Process Innovation: Develop and optimize motion workflows, including the integration of generative AI tools to improve team efficiency and output quality, • Design Excellence: Apply a high degree of taste and rigorous design fundamentals to all experimental work, ensuring that even the most "scrappy" or innovative explorations maintain brand integrity, • Experience: 5+ years of professional experience in motion design or creative production, ideally within a high-growth technology company, world-class agency, or culturally-defining brand, • Design Fundamentals: Exceptional command of typography, color theory, and composition, • Adaptability: Proven ability to thrive in "scrappy" and ambiguous environments, managing rapid-fire R&D alongside long-term strategic projects, • Experience in node based motion software such as TouchDesigner, Cavalry, • 3D software experience - Cinema 4D, Blender, or Houdini, • Generative AI tooling - Kling, Runway, Midjourney, Flora, Krea, etc., • Background in creative production, • Work on cutting-edge AI projects that shape the future of technology, • Join a talented, collaborative team that values creativity and innovation If you are excited about contributing to the future of AI and believe you have the skills and experience to excel as a Senior Motion Designer at Scale AI, we'd love to hear from you! Apply today with your resume and a brief cover letter. Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as "senior," but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$158,400—$198,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$275,000—$350,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our AgentOps team: The vision for the AgentOps team is to build the best Agent Development Platform in the AI Industry. Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles. As a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations ("AgentOps"), including building, deploying, monitoring, evaluating and improving agents to solve customer needs. With the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable. We want to create a virtuous data flywheel where agents built using this platform see continuous performance improvements and increase customer value over time. We are a rapidly growing team with ambitious goals, and are looking for motivated individuals to join us to make an impact in a green-field domain. Responsibilities: • Manage the engineering team and drive technical delivery, • Comfortable working cross functionally, whether that be internal or external customers, • Work across the entire product lifecycle from conceptualization through production, • Build features end-to-end: back-end, system design, debugging and testing, • Deliver experiments at a high velocity and level of quality to engage our customers, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers, • Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: • At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred, • Proven success in leading, managing, and developing high-performing Engineering teams, • Expertise in identifying product engagement patterns and trends for large scale consumer products, • Track record of shipping high-quality products and features at scale, • Desire to work in a very fast-paced environment, • Ability to turn business and product ideas into engineering solutions, • Excellent problem-solving skills, and be able to work independently or as part of a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework, • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation, • Research and integrate state-of-the-art technologies to optimize our ML system, • Strong excitement about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment, • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$218,400—$273,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale's core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborating with cross-functional teams to define, design, and deliver new features., • Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience with authentication/authorization systems (Zanzibar, Authz, etc.), • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400—$310,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 7+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. Scale's growth marketing team is the engine behind the go-to-market motion, driving pipeline and revenue through an integrated mix of demand generation, ABM, and revenue operations. As our Account Based Marketing Manager, you will build and execute our 1:1 and industry-vertical ABM playbooks in close partnership with the Enterprise GTM team across a focused set of target accounts. Reporting to the Head of Growth Marketing, you will take ownership of vertical-specific campaigns across Healthcare, Financial & Professional Services, and Consumer Goods and scale the 1:1 motion for our highest priority accounts. You will: • Build and execute 1:1 ABM programs for a focused set of strategic enterprise accounts (P0 & P1), owning strategy, channel mix, sequencing, and execution end-to-end, • Develop vertical-specific campaign strategies tailored to the buying behaviors, pain points, and use cases of target accounts in targeted industries, • Partner with enterprise sellers and the Head of Growth Marketing on joint account planning, aligning on target stakeholders, engagement goals, content needs, and campaign timing, • Orchestrate multichannel campaigns across digital advertising, direct mail, web and in-person experiences to engage the full buying committee, • Track and report on account engagement signals, buying committee penetration, and pipeline influence, turning data into clear and actionable insights for sales and leadership, • Define ABM KPIs and build reporting frameworks that demonstrate campaign impact on pipeline creation, acceleration, and revenue, • 5+ years of B2B marketing experience with at least 3 years focused on account-based marketing, and a proven track record driving measurable pipeline at enterprise accounts, • Experience working directly with enterprise sales teams on joint account planning, stakeholder mapping, and coordinated campaign execution across a defined account list, • Hands-on experience with ABM platforms (Clay, Qualified, Sendoso), marketing automation (Marketo or HubSpot), and Salesforce for pipeline tracking and attribution, • Experience marketing to one or more of the following verticals: Healthcare, Financial Services, Professional Services, or Consumer Goods, with familiarity in the distinct buying dynamics and messaging that resonate in each, • Background in executive engagement programs such as personalized landing, executive event support, direct mail, and familiarity with intent data and account-targeted digital advertising strategies About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale's data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior. We're looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation. • Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale's ecosystem., • Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration., • Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency., • Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns., • Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads., • Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers., • Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments., • Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence., • Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience., • 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms., • Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases., • Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments., • Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs. Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.