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Job Description Job purpose The Driver safely operates the delivery vehicle, and follows designated routes to deliver products to customers in a timely, organized manner. The driver is responsible for physically unloading product from the truck and moving product into customer locations. Duties and responsibilities • Safely operate a box truck, driving various routes during business hours, • Deliver a wide variety of items to different addresses and through different routes on a daily basis, • Follow specific delivery routes and time schedule to meet or exceed delivery deadlines, • Respond to back-calls and pick-ups from vendors or customers as needed., • Load and unload a delivery vehicle using hand trucks, pallet jacks, fold-downs and/or by physically carrying items., • Maintain professional and courteous interactions with customer contacts at each delivery site, • Collect payments from customers in the form of cash or check, record invoices, and give all to VP of Operations or Day Logistics Clerk at end of shift., • Understand and comply with DOT regulations., • Understand and comply with company Driver Safety Manual, • Complete driver medical certification every two years, • Handle all products with care to avoid damages and loss, • Take initiative to accomplish open tasks; be proactive and seek additional work when available, • Maintain positive work relations; support team work and help coworkers to accomplish team goals, • Listen and communicate respectfully with employees at all levels within the organization, • Attendance; Maintain regular attendance and follow call out and time off procedures as outlined in the handbook., • Comply with company policies and procedures as outlined in the Employee Handbook, • High school diploma or equivalent, • Valid driver’s license, minimum of Class D, • Acceptable driving record as defined by our insurance policy, with no major violations and few, if any, minor violations, • Good communication and listening skills., • Basic math skills., • Attention to detail and good organizational skills., • Time management; Ability to handle multiple demands and work to meet deadlines, • Dependability; Exhibit a reliable and consistent work ethic, • Punctuality; arrive on time to work and return on time from breaks, • Ability to work efficiently in a fast-paced environment., • Ability to be flexible and to adapt to quickly changing conditions., • Prior work as a delivery driver of, at minimum, a 24-ft commercial box truck. The Company will explore and provide reasonable accommodations to assist any qualified individual with a disability in performing the essential functions of his/her job. Please speak with the Director of Human Resources should you require an accommodation or have any questions. Work Environment This job operates in a delivery vehicle travelling on major roadways in multiple cities and states. When making deliveries, moving in and out of customer locations, the role is exposed to outdoor elements such as weather. The position routinely uses hand trucks, pallet jacks and fold-downs. Position Type/Expected Hours of Work This is a full-time position. Days of work are Monday through Friday. Hours of work begin at approximately 5:00 a.m. and end when deliveries or pick-ups are completed. Start and end times will vary based on routes assigned. The total hours per week are a minimum of 40 hours and may exceed 40 hours per week on a regular basis. This position may occasionally require longer hours when workload or project deadlines require it. Travel Travel includes daily driving of a delivery vehicle on designated routes throughout various cities and states. Physical requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. Specific vision requirements for this role include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust and focus. The employee frequently is required to sit; stand; walk; climb stairs; stoop; kneel; crouch; balance; use hands to finger, handle or feel a steering wheel, keypad, handheld device or phone; and reach with hands and arms. The employee frequently is required to lift/carry 25-50 pounds safely from floor to waist height, and from waist height to shoulders. Occasionally, the employee will be expected to lift/carry 25-50 pounds above the shoulders. Occasionally, the employee will be expected to lift/carry over 50 pounds. Frequently the employee will be expected to push/pull items using a pallet jack and/or a fold-down with weight loads exceeding 100 pounds. Powered by JazzHR 30y9WslAOE

Natixis is seeking a highly accomplished Senior Credit Risk Officer, an Executive Director / Team Leader, to direct our credit risk operations for Latin America Corporate and Structured Finance / Project Finance within the Americas. This pivotal leadership role will be instrumental in guiding our credit risk team and defining our strategic approach to significant financial transactions across Latin America. This position offers the opportunity to lead a dedicated Latin America credit risk team. You will be responsible for critically assessing and communicating credit risk opinions, complemented by conducting comprehensive market and financial analyses of clients. Your expertise will be vital in evaluating new transactions proposed by our front office groups and in performing annual reviews of existing exposures, with a particular focus on Corporate and Structured Finance transactions throughout Latin America. Key Responsibilities: • Act as the primary senior credit risk authority, engaging with diverse Front Office Teams, including those based in New York and throughout Latin America, such as the Latin America Infrastructure and Project Finance Teams and the Latin America Corporate and Global Trade Teams. You will also collaborate with other Front Office teams, notably the Aviation team, the LBO / Leverage Finance team, and associated product groups like the commodity and interest rate hedging desks., • Develop and present authoritative credit risk opinions, or guide more junior members of the Latin America credit risk team in their preparation. This includes conducting thorough market and financial analyses of clients in the Americas, primarily Latin America, evaluating proposed transactions from front office groups within business lines such as Corporate and Structured Finance transactions in the Americas, encompassing Infrastructure Finance, Corporate Finance/Coverage, and to a lesser extent, Aviation., • Deepen your expertise in the industries and transaction structures that are central to Natixis's focus within Latin America., • Function proactively as a second line of defense, diligently monitoring a selected subset of the Latin America portfolio through the creation of detailed credit risk opinions for Annual Reviews, Quarterly Reviews, Watchlist Fiches, Amendments, waivers, and One-Off type requests., • Significantly contribute to the ongoing enhancement and optimization of the credit risk processes and templates employed by the bank., • Anticipate, identify, and proactively report any credit events that may lead to a covenant breach or a demonstrable deterioration in credit risk for underlying borrowers or industries., • Assist in the preparation of select portfolio updates, delivering insightful analyses on topics of strategic importance to the bank's general management., • Identify and thoroughly evaluate credit risks presented by new client proposals across key sectors including Corporate and Structured Finance (Infrastructure & Project Finance, Corporate Finance/Coverage, and Aviation)., • Formulate and articulate risk recommendations that are both sound and demonstrably aligned with the bank's established risk appetite., • Clearly communicate to senior management what risk parameters are deemed acceptable, unacceptable, and any structural elements that would enhance the proposal if incorporated., • Draft comprehensive credit risk opinions for new transactions, annual/quarterly reviews, and waiver and amendment requests, strictly adhering to lending policy requirements., • Conduct in-depth industry studies and perform or request financial model sensitivities as needed to support robust credit risk analysis and inform recommendations to senior management., • Collaborate seamlessly with various internal bank groups, including Front Office Origination, DRAS (Workout), AMP (Portfolio Management), Loan Review, and Credit Surveillance & Analytics., • Cultivate and maintain strong, constructive relationships with business unit contacts to ensure responsiveness and effective prioritization of the pipeline for new counterparty on-boarding., • Operate in close coordination with Latam Front Office and Latam Syndication Teams in New York and across Latin America (Chile, Colombia, Brazil, Mexico), as well as the Country Risk team at Head Office., • Ensure ongoing compliance with credit risk processes and Lending Policy requirements through to and beyond credit approval., • Actively monitor the credit risk performance of a designated portfolio of existing accounts., • Author detailed credit risk opinions in connection with Annual Reviews, Quarterly Reviews, Watchlist Fiches, Amendments, waivers, and One-Off type requests for the assigned portfolio subset., • Closely track credit events such as covenant breaches and efficiently process credit alerts generated by our systems., • Maintain accurate and up-to-date internal and regulatory ratings, alongside watchlist classifications. Qualifications: • Possess 10 to 15 years of progressive experience in credit risk or front office roles within a banking, insurance, or large corporate/credit agency environment., • A Bachelor's degree in Finance or a related field is required; an MBA in Finance or a related field is strongly desired., • Demonstrate a strong command of the banking system and a deep understanding of financial products and instruments, including medium to long-term loans, trade finance, structured finance, and capital markets., • Hands-on working experience in the diverse sectors and industries where Natixis actively focuses in Latin America, such as Renewable Energy & Energy in general, Project Finance, Transportation, and Corporate Finance, is highly desired., • Showcase in-depth knowledge and proven ability in credit risk analysis, financial analysis, understanding of transaction structures, and cash flow modeling., • Proficiency in Spanish and/or Portuguese would be a distinct advantage., • Candidates should possess an open-minded, diligent, and committed work ethic, with a strong orientation towards meeting deadlines, meticulous attention to detail, and a genuine enthusiasm for teamwork., • Proficiency in MS Office Suite (Word, Excel, PowerPoint, Outlook) is essential. Join Natixis and make a significant impact on our Latin America lending portfolio! Natixis is an equal opportunity employer, committed to a workplace free of discrimination. Natixis will not tolerate any form of discrimination based on age, color, mental or physical handicap or disability, pregnancy, marital status, sexual orientation, national origin, alienage, ancestry or citizenship status, race, religion, sex (including sex stereotyping, gender identity, gender expression or transgender status), veteran status, creed, genetic information or carrier status, or any other protected characteristic as established by law. Respect for all means that we deal with each person as an individual and not as a member of any group. All qualified applicants will receive consideration for employment. Management is expected to provide leadership in supporting the firm’s EEO program by taking steps to promote EEO in all facets of employment including recruitment, hiring, retention, promotion, performance assessment, and career-development opportunities. The salary range for this position will be between $250,000 - $285,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance

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 Pay Transparency provision. 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 AI 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 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 produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. 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 Pay Transparency provision. 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 Pay Transparency provision. 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 a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. 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 Pay Transparency provision. 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.

Alfred E Smith / Fireboat is seeking a Line Cook to join our crew, led by nationally-acclaimed culinary director, Kerry Heffernan. Line Cooks are an integral part of our award-winning back-of-house team. VENUE Alfred E Smith / Fireboat DETAILS Job Overview Position Summary Line Cooks play a vital role in creating memorable experiences for our guests. They must exhibit a hawk-eyed attention to detail, be hardworking and have a willingness to learn and grow on the job. Cooks are a part of a team, and therefore should act as a team player and work well with others. Essential Duties & Responsibilities • Accurately execute the preparation of menu items according to Crew recipes and standards, • Comply with Crew and Department of Health established sanitation standards, personal hygiene, and health standards; observe proper food preparation and handling techniques and safety protocols, • Comply with Crew safety plan and standards as set forth in training materials, • Ensure consistency and superiority in food/drink preparation, quality, and service, • Keep work area neat and clean at all times to ensure DOH standards are met, • Report to work in a neat and clean uniform; maintain well-groomed hair and personal hygiene as established by company policy, • Set up and breakdown station to specification; perform cleaning tasks at the conclusion of each service and prepare for the following service, • Ability to perform essential job functions when working in a high business volume, fast-paced environment, • Ability to walk, stand, and/or bend continuously and for extended periods of time as required to perform essential job functions, • Able to lift 30+ lbs., • Able to work nights, weekends and holidays, and variable schedule, per the needs of the business, • Excellent verbal communication skills, • Familiarity with knife handling protocols and skills, • Knowledge of or willingness to learn about Oysters, • Must love sunsets, • Willingness to work in outdoor climate conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. While performing the functions of this job, an employee must walk, stand, or remain stationary during entire the shift. Employee must be able to continuously reach, bend, lift, carry, stoop and wipe with the potential for slipping or tripping. Employee must frequently wash their hands and lift or move up to 35 pounds. ENVIRONMENT Company Culture N/A POLICY Equal Opportunity Employer N/A Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at will” relationship. BENEFITS • Paid Safe and Sick Leave, • Commuter Benefits, • Employee Discount \n\nMore detail about Fireboat part of Crew, please visit

JOB DESCRIPTION Title: Account Manager Location: Hybrid NYC/remote Department: eCommerce FLSA Classification: Exempt Supervises: N/A (Individual Contributor) POSITION OVERVIEW We are seeking a detail-oriented, analytically strong Amazon Account Manager to serve as the hands-on operator for multiple Amazon CPG beauty brands across Vendor Central. This role is responsible for the day-to-day management and execution of Amazon operations across the brands encompassing catalog management, content optimization, advertising execution, inventory coordination, promotional setup, and account health monitoring. The ideal candidate is an Amazon platform expert who thrives in the details—someone who can manage product listings, troubleshoot operational issues, coordinate promotional campaigns, and deliver clear performance reporting with equal confidence. You bring deep familiarity with Vendor Central workflows, Amazon Retail Analytics, and advertising tools, and you understand how catalog health, content quality, and operational rigor translate directly into revenue and margin outcomes. This role reports to the Sr. Director, Amazon & Retailer.com and works closely with external agency partners, Brand Marketing, Supply Chain, and Sales to ensure that Amazon presence is optimized for growth, profitability, and brand consistency across all product categories. ESSENTIAL JOB DUTIES & RESPONSIBILITIES 1. Amazon Operations & Catalog Management • Manage the day-to-day operations of Amazon Vendor Central accounts across all brands, ensuring accurate product listings, pricing, and catalog integrity, • Own product detail page (PDP) quality: titles, bullet points, descriptions, images, A+ content, and Brand Store pages—ensuring all listings meet Amazon’s retail readiness standards, • Coordinate new product launches on Amazon, including ASIN creation, Born to Run enrollment, content upload, variation structure, and initial inventory seeding, • Monitor and resolve catalog issues including suppressed listings, blocked offers, CRaP flags, variation errors, and duplicate ASINs, • Maintain accurate item setup data including item cost, dimensions, case pack configurations, and compliance documentation 2. Advertising Execution & Agency Coordination • Partner with external agency partners to execute full-funnel advertising campaigns across Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP, • Monitor campaign performance daily and weekly against KPIs including ROAS, ACoS, TACoS, CPC, CTR, and ad-attributed sales; flag issues and opportunities to the Sr. Director, • Coordinate advertising creative requests with Brand Marketing to ensure ad assets, lifestyle imagery, and video content are delivered on time and meet Amazon specifications, • Support the agency in executing promotional advertising strategies around key events: Prime Day, Black Friday/Cyber Monday, Big Spring Sale, and brand-specific launches, • Assist in preparing monthly and quarterly advertising performance reports, compile data from Amazon Ads console, Brand Analytics, and ARA for Sr. Director review 3. Promotional Planning & Execution • Set up and manage all Amazon promotional programs including Lightning Deals, Best Deals, coupons, Prime Exclusive Discounts, Subscribe & Save offers, and social media promo codes, • Ensure promotional submissions meet Amazon deadlines, pricing requirements, and inventory thresholds, • Coordinate with Supply Chain and Demand Planning to confirm inventory availability before committing to deal events, • Track promotional performance and compile post-promo analysis including incremental lift, Net PPM impact, and glance view / conversion rate changes during deal windows, • Maintain a rolling promotional calendar across all brands; Flag scheduling conflicts and ensure alignment with retailer.com and DTC promotional cadences 4. Inventory & Supply Chain Coordination • Monitor Amazon PO activity, fill rates, and in-stock rates across all brands; Proactively flag inventory risks to the Sr. Director and Supply Chain, • Confirm and manage purchase orders in Vendor Central, ensuring accurate PO confirmation codes, on-time shipment, and compliance with Amazon routing guides, • Track and resolve chargebacks, shortages, and deductions; open and manage cases through Vendor Central dispute resolution, • Coordinate with Demand Planning on replenishment forecasts, safety stock levels, and seasonal build requirements, • Monitor excess and aged inventory; recommend liquidation or promotional strategies to improve sell-through and inventory turn rates 5. Account Health & Compliance • Maintain superior Amazon account health scores across all Vendor Central accounts by proactively monitoring performance metrics and policy compliance, • Track and resolve listing violations, intellectual property complaints, product safety flags, and customer feedback issues, • Monitor Buy Box ownership, pricing parity, and unauthorized seller activity; escalate MAP and reseller violations through proper channels, • Ensure compliance with Amazon’s content policies, image requirements, and category-specific listing guidelines, • Stay current on Amazon policy changes, new seller/vendor programs, and platform updates; communicate relevant changes to the broader ecommerce team 6. Performance Reporting & Analytics • Build and maintain weekly and monthly performance dashboards tracking revenue, traffic (glance views), conversion rate, AOV, BSR, and advertising metrics by brand and category, • Leverage Amazon Retail Analytics (ARA), Brand Analytics, and Search Query Performance reports to identify trends, diagnose issues, and surface growth opportunities, • Prepare data packages and performance summaries for the Sr. Director to use in executive business reviews, • Conduct competitive analysis using Brand Analytics share-of-voice data, search term reports, and category benchmarking, • Support quarterly business review preparation with Amazon vendor management and CSM teams, including performance decks and data pulls 7. Cross-Functional Collaboration • Serve as the internal Amazon subject matter expert, providing platform guidance and best practices to Brand Marketing, Sales, Supply Chain, and Finance teams, • Coordinate with Brand Marketing on content creation timelines: A+ modules, brand store refreshes, lifestyle imagery, and video assets, • Partner with the Retailer.com teams, DTC and Growth Marketing team to share insights, align promotional strategies, and ensure consistent brand presentation across channels, • Support the Sr. Director in Amazon vendor management meetings, QBRs, and strategic planning sessions with data preparation and operational readiness REQUIRED SKILLS & QUALIFICATIONS • 4–6 years of experience managing multi-brand Amazon Vendor Central for a CPG, beauty, or consumer products brand, • Deep working knowledge of Amazon’s operational workflows: PO management, catalog/ASIN management, content upload, deal submissions, and case management, • Hands-on experience with Amazon Advertising console (Sponsored Products, Sponsored Brands, Sponsored Display) and familiarity with Amazon DSP, • Strong analytical skills with proficiency in Amazon Retail Analytics (ARA), Brand Analytics, and Search Query Performance reporting, • Experience coordinating with external agency partners on advertising execution and performance optimization, • Demonstrated ability to manage promotional calendars, set up deal events, and analyze post-promo performance, • Detail-oriented with strong organizational skills and the ability to manage multiple brands and priorities simultaneously in a fast-paced environment, • Excellent communicator—written and verbal—with the ability to translate platform data into clear, actionable insights for leadership, • Highly proficient in Microsoft Office; Strong Excel skills required for reporting and data analysis, • Self-starter with a strong sense of urgency and ownership; Comfortable working independently in a remote environment PREFERRED QUALIFICATIONS\ • Experience in Beauty or Personal Care categories on Amazon, • Familiarity with Amazon tools and programs including Born to Run, Vine, Subscribe & Save, Amazon Brand Registry, and Transparency, • Experience with third-party Amazon analytics platforms (Helium 10, Jungle Scout, Profitero, Stackline, or equivalent), • Working knowledge of Amazon chargeback and deduction resolution processes, • Experience supporting multi-brand portfolios across both 1P (Vendor Central) and 3P (Seller Central) models, • Familiarity with inventory planning, demand forecasting, and supply chain coordination in an Amazon context EDUCATION REQUIREMENTS • Bachelor’s degree in Business, Marketing, Supply Chain, or related field required, • Amazon Advertising certifications (Sponsored Ads, DSP) preferred This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the role. Employer reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. This is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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 Pay Transparency provision. 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. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. 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. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 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 Pay Transparency provision. 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.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. You will: • Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem., • Conduct in-depth code reviews to identify and remediate security vulnerabilities., • Evaluate and enhance the security of our product offerings, through RFC and service review., • Implement and maintain CI/CD pipelines with a strong focus on security., • Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code., • Utilize terraform orchestration to ensure secure and efficient infrastructure management., • Guide engineering teams to build robust long-term solutions that consider security and privacy., • Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact., • Influence the security strategy and direction of the team, advocating for best practices and continuous improvement. Ideally, you'd have: • Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction., • Proven experience as a Security Engineer with a focus on product security., • Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes., • Strong understanding of modern Javascript application design., • Production experience operating and securing AWS infrastructure at scale., • Hands-on experience with SAST and DAST tools and methodologies., • Familiarity with terraform orchestration for infrastructure management., • You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input., • Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders., • Demonstrated ability to influence security strategies and drive improvements within 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 Pay Transparency provision. 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., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. 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 Pay Transparency provision. 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 Director of Financial Planning & Analysis leads the New York Genome Center's (NYGC) budgeting and financial analysis function, setting the strategic direction for budgeting, forecasting, and organizational performance management. This is a one-person FP&A function responsible for developing and executing organization-wide financial plans, ensuring alignment with NYGC's strategic goals, and supporting executive leadership in data-driven decision-making. Reporting to the Chief Financial Officer (CFO), this role works closely with department heads, executive leadership, and the Board of Directors to guide financial strategy, resource allocation, and long-term financial sustainability. NYGC is also open to considering highly motivated candidates at the Associate Director level who may not yet have full leadership experience in FP&A but demonstrate strong interest, aptitude, and potential to grow into the role. Key Responsibilities include (but are not limited to): * Financial Planning & Analysis * Lead NYGC's FP&A function, establishing standards and methodologies for forecasting, performance reporting, and financial analysis * Manage core financial processes including budgeting, forecasting, variance analysis, financial modeling, and long-range planning. * Develop quarterly and long-term projections, including cash flow forecasts and scenario analyses, to inform executive decisions. * Evaluate financial risks and opportunities and provide actionable recommendations to leadership. * Support strategic initiatives through financial modeling, business analysis, and preparation of executive materials. * Continuously improve financial planning, reporting, and analytical processes for accuracy, efficiency, and alignment with organizational priorities. * Perform ad-hoc analyses and prepare supporting documentation for executive discussions and key decision-making. * Present financial results, forecasts, and strategic recommendations to the CFO, leadership team, and Board of Directors. * Financial Reporting and Budgeting * Lead the development, consolidation, and execution of the annual organization-wide budget, coordinating with all departments. * Prepare and distribute periodic financial reports, including budget-to-actual analyses for leadership. * Compile internal and external financial statements, supporting schedules, and materials for audits or reporting requirements. * Strategy & Leadership * Develop and implement financial strategies that support multi-year organizational goals and long-term sustainability. * Partner with senior leadership to translate strategic plans into operating and capital forecasts. * Lead cross-functional initiatives and coordinate financial planning activities with departments and external partners. * Make informed decisions on complex financial matters with broad organizational impact. * Reconcile competing priorities and provide recommendations that support executive-level decision-making. * Interact with senior management, auditors, funding agencies, and external partners on financial matters requiring negotiation or resolution. * Establish and maintain policies, procedures, models, and reporting methodologies that support consistent and effective decision-making. Requirements & Qualifications * Bachelor's degree with a major in a business-related subject (e.g., accounting, finance, economics) required, masters' degree in Business Administration highly desirable; * Minimum 10 years of progressive FP&A experience, including leadership of organization-wide budgeting or multi-department financial planning; * Advanced quantitative skills and Excel modeling skills required; * Familiarity with cost transfers or specialized services facilities highly desirable; * Experience with Adaptive Insights and Sage Intacct preferred; * Demonstrated experience working with executive leadership and contributing to strategic decision-making required; * Excellent interpersonal, communication and organizational skills required; * Ability to prioritize, work under pressure, and exercise independent judgment required; * Ability to respond quickly with accurate information across multiple management levels and evolving priorities required; * Willingness to learn genomic sequencing processes and grant financial administration required; * Experience working in higher education or non-profit organization is strongly preferred. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Work Flexibility NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. This position is eligible for a flexible work schedule or hybrid remote work arrangement with supervisory approval. Occasional evening and weekend work may be required. Salary & Benefits The pay range for this Director position is $160-200K per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About the New York Genome Center The New York Genome Center is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, NYGC was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is not eligible for visa sponsorship or relocation assistance.

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 Pay Transparency provision. 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 Pay Transparency provision. 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.

Mount Sinai Health System, Mount Sinai Brooklyn Nurse Manager, Operating Room, Surgical Services, Mount Sinai Brooklyn Full Time, On-site Description The Nurse Manager is responsible for the management of nursing practice and operations on a designated unit/service. This includes, but is not limited to, the management of: clinical nursing practice, staff recruitment, retention, labor relations, supply chain and budget, staffing, employee performance evaluation, quality improvement, staff education, medical records, internal and external regulatory and survey requirements. The Nurse Manager I collaborates with multiple professionals to support and coordinate the provision / management of patient care. He or she works closely with the Nursing Clinical Director, Physician Leader and staff in insuring that the Service/Unit maintains the highest standards of patient care and is responsive to the needs of the patient & family as well as the organization Responsibilities Clinical/Technical/Service • Responsible to the Nursing Supervisor of the given division, • Functions in accordance with the Nurse Practice Act, the current Federal and State Regulations governing the use and dispensing of methadone, the guidelines for patient care set by the Program’s Administration and the philosophy of the Patient Care Services Department of the hospital, • Maintains standards of nursing care and practice by supervising and evaluating nursing personnel, • Plans, directs, coordinates, evaluates and facilitates the delivery of nursing care through the creative utilization of professional nursing expertise, • Recognizes patient’s problems and participates in their resolution, • Contributes toward the maintenance of a professional setting that allows for growth and development of patients and staff, • Participates in formulating, interpreting, and implementing nursing service programs, • Periodically reviews with nursing staff the maintenance of complete and accurate patient-care and narcotic records, • Participates in the orientation and evaluation of new nursing staff, • Demonstrates the knowledge and skills necessary to provide care, based on physical, psychosocial, educational, safety, and related criteria, appropriate to the age of the patients served in assigned area Organizational/Managerial • Participates in the department’s performance improvement activities, • Maintains patient/employee confidentiality in the management of information, • Observes the Health Care System’s compliance policies, • Maintains a nursing unit in compliance with the regulations of New York State Department of Health and the Commission on Accreditation of Health Care Organizations, • Interprets the hospitals nursing policy and standards relative to patient care in clinics, • Oversees the assignment/delegation of nursing functions and responsibilities in assigned clinics in the absence of the Head/Charge Nurse, • Supervises and evaluates nursing staff performance with the Charge Nurse and Nursing Supervisor, • Assists the Division Nursing Supervisor in monitoring nursing staff attendance and adherence to program policies, • Participates in counseling and disciplining of staff, when appropriate, • Monitors all security aspects of the medication process, • Reviews patient and narcotic records in a timely manner, • Monitors availability and maintenance of nursing equipment and supplies in the clinic(s), • Participates in the development of other staff members, • Meets regulatory, licensure and annual health assessment requirements, • Identifies learning strengths and needs, • Utilizes learning resources, • Participates in the hospitals Continuous Quality Improvement Program and maintains Standards of Care, • Makes recommendations regarding standards of patient care and policies for the Patient Care Services Department and appropriate support services, • Demonstrates willingness to evaluate own nursing practice, • Keeps abreast of current nursing literature, • Avails self of continuing education programs/professional conferences/seminars/workshops, • Keeps abreast of legal issues related to health care and nursing, • Counsels staff with regard to pursuing on-going formal education, • Encourages staff attendance at in-service and Continuing Education programs, • Provides learning experiences for nursing personnel on an individual basis, • Demonstrates a professional, courteous, and respectful attitude in dealing with patients, families and significant others, • Displays courtesy, tact and patience during interactions with all members of the hospital staff and extended community, • Acts as a resource person for staff with regard to Program and Nursing policies and procedures, • Interprets the role of the nurse to the patient, to other clinic staff and to the community, • Demonstrates good interpersonal relationships, • Demonstrates skills in communication on both oral and written levels, • Works cooperatively with the Unit Director and the Unit Supervisor in Administrative matters Qualifications Baccalaureate degree in nursing required, Master’s preferred. 3-5 years nursing clinical care with Charge Nurse/Supervisory experience preferred. Must have relevant clinical competence in area of nursing practice assigned Compensation Statement The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $104,995.00 - $157,492.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Non-Bargaining Unit, ACY - Operating Room Suite - BKL, Mount Sinai Brooklyn

Strength Through Diversity. Ground breaking science. Advancing medicine. Healing made personal. Clinical Pharmacy Manager – Internal Medicine / Transitions of Care Full-time Roles & Responsibilities: • Participate in daily multidisciplinary internal medicine hospitalist rounds, • Provide accurate and timely medication information to healthcare staff and patients, • Provide clinical and operational pharmacy support to pharmacy and medicine teams, • Collaborate with the Director and Pharmacy and Associate Director of Pharmacy to develop and implement clinical pharmacy programs and services in support of the pharmacy department mission, • Serve as an active participant in local and system committees in related clinical practice areas as assigned, • Serve as an Opioid Stewardship local lead and as a site representative for a system Opioid Stewardship Committee meeting, • Actively participate in the Antimicrobial Stewardship program efforts, • Contribute to the Transitions of Care services and programs, • Identify, design and analyze drug utilization reviews to promote rational drug therapy and determine action plan based on results, • Participate in departmental and hospital quality and cost-savings initiatives, • Sustain the hospital formulary, minimizing non-formulary procurement, utilizing therapeutic interchanges and promote rational drug therapy selection, • Work collaboratively with other health care providers and the clinical team members to develop and maintain a sound formulary system to support evidence based pharmaceutical care and cost-effective drug utilization., • Coordinate formulary reviews, drug use evaluations and quality assurance programs., • Serve as a preceptor for pharmacy students and PGY1 pharmacy residents, • Develop and implement systems and procedures to maintain an efficient and effective workflow within the pharmacy and/or assigned areas, • Provide direction and guidance for the safe processing and dispensing of all medications for assigned area, • Address issues or services requiring intradepartmental coordination proactively, • Ensure an adequate inventory of pharmacy products and supplies to meet department demands, • Ensure the department is in compliance with all federal, state and local regulations, accrediting agencies; and Mount Sinai Heath System policies and procedures., • Contribute to managing various personnel functions such as hiring, training, performance appraisals, coaching, disciplinary actions and terminations., • Exchange information and provide input for inter-and-intra departmental meetings, • Serve on a rotating basis, as an on-call administrator and troubleshoot issues that arise evenings, weekends and holidays., • Maintain adequate documentation to satisfy JCAHO requirements or other regulatory agencies, • Perform other duties as assigned Requirements: Graduate from an accredited school of Pharmacy (ACPE). Advanced degree, Graduate of a PGY1 residency, PGY-2 residency preferred. Current New York State Pharmacist License – New York State Department of Education Hospital pharmacy and/or clinical experience, management experience preferred Pharmacy computer system(s), Hospital Software Pharmacy perpetual Inventory Excellent verbal, written and interpersonal skills, Excellent analytical and problem solving skills. Demonstrated knowledge of federal, state/local pharmacy regulations and pharmacy management practices Strength Through Diversity The Mount Sinai Health System believes that diversity, equity and inclusion are drivers for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together and participate actively as a leader within the Mount Sinai Health System by: • Serving as the primary resource management representative of the Mount Sinai leadership teams, committees, etc., and acting as the primary executive leader interface between Mount Sinai and key executives from the health systems’ vendors and partners, • Engaging with relevant thought leaders and policy-makers at the federal and state levels, and representing the Health System as assigned., • Using a lens of equity in establishing and promoting policies and procedures and providing opportunities for all to thrive., • Confronting racist, sexist or other inappropriate behavior and challenges exclusionary organizational practices and serving as a role model to promote anti-racist behaviors., • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. We work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make an impact on quality patient care. Explore more about this opportunity and how you can help us write a new chapter in our story! Who We Are Over 42,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve. Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai Morningside (formerly Mount Sinai St. Luke’s), and New York Eye and Ear Infirmary of Mount Sinai. The Mount Sinai Health System (MSHS) provides equal employment opportunity to all its incumbents and applicants for employment without unlawful discrimination on the basis of their actual or perceived race, creed, color, religion, national origin, sex, gender, gender expression, gender identity, age, disability, marital or parental status, sexual orientation, veteran, immigration, citizenship, or other protected status. EOE including Veterans and Disabled Compensation Statement The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $127,044.00 - $190,565.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Non-Bargaining Unit

Assistant Director of Nursing (Internal Medicine) Compensation: $150k per year Job Type: Full-time, Monday–Friday | 8:00 AM-4:30 PM A major New York City health system is seeking a Assistant Director of Nursing to lead facility-wide nursing operations, education, strategy, and quality initiatives. tis leader will oversee nursing performance, implement standardized best practices, and ensure safe, high-quality, patient-centered care across the organization. Specifically focused on the Internal Medicine service line, this role serves as a critical link between executive strategy and clinical execution. Key Responsibilities • Lead facility-wide nursing operations and strategy within the service line, ensuring alignment with health system goals., • Oversee nursing performance and clinical outcomes, reporting directly to the CEO and Chief Nursing Executive., • Implement standardized best practices and evidence-based protocols to ensure safe, high-quality, patient-centered care., • Drive quality improvement and safety initiatives specifically targeting maternal and neonatal health outcomes., • Manage daily departmental operations, including staffing, resource allocation, and budget oversight., • Serve as a clinical mentor and educator, fostering professional development and residency programs for nursing staff., • Ensure continuous regulatory compliance and survey readiness for all state and federal healthcare agencies., • Act as a key liaison between frontline clinical staff and executive leadership to facilitate transparent communication and operational excellence. Qualifications • Valid New York State RN license, • Master’s Degree in Nursing (MSN) with five (5) years of nursing experience, including three (3) years in a supervisory or teaching role; OR, • Bachelor’s Degree in Nursing (BSN) with six (6) years of nursing experience, including four (4) years in a supervisory or teaching role, • Prior leadership experience in Internal Medicine strongly preferred Benefits • Health Insurance Plans, • Flexible Spending Account Programs, • Management Benefits Fund (MBF), • Tuition Reimbursement, • Vacation and Sick Leave, • Family & Medical Leave Act (FMLA), • Special Leave of Absence Coverage (SLOAC), • Additional Leave Options, • Retirement Savings Plans (NYCERS, VDC, TDA 403B, 457, NYCE IRA), • Additional Savings Plan Options, • Transit Benefits, • Municipal Credit Union (MCU) Membership Please note that specific benefits listed may only apply to managerial-level positions and are subject to the terms of the health system’s management policy.

Responsible for the organization and administration of nursing services within the Transitional Care Unit (TCU) and Rehabilitation Services. The Director of Nursing – (TCU) holds administrative authority, responsibility, and accountability for the functions and activities of nursing, physical therapy (PT), occupational therapy (OT), speech-language pathology (SLP), and ancillary staff. The Director of Nursing – TCU ensures that the comprehensive needs of residents are met and maintains ongoing communication with senior leadership and the Medical Director regarding the activities, performance, and operations of nursing services. Key Responsibilities • Develops, implements, and monitors the nursing quality improvement process in accordance with applicable federal and state regulations and long-term care standards, as well as established accreditation requirements., • Meets regularly with the Medical Director and Licensed Nursing Home Administrator to review and evaluate overall nursing performance and outcomes., • Serves as an active member of the organization’s Quality Improvement team, supporting ongoing performance enhancement initiatives., • Evaluates resident satisfaction survey results and identifies opportunities for improvement to enhance quality of care and service delivery., • Provides oversight for daily monitoring, evaluation, and facilitation of the revenue collection and clinical documentation processes to support accurate revenue capture., • Reviews patient records for completeness and ensures accurate and thorough documentation on charge capture tools and documentation systems., • Identifies missed or lost charges and coordinates appropriate corrective action to ensure accurate charge capture., • Documents additions and corrects charge-related errors in accordance with established departmental standards and procedures., • Communicates identified charging and documentation issues to appropriate department personnel to ensure timely resolution., • Minimum of 2 years of full-time experience in nursing supervision and/or administration, • Current and active Registered Nurse license in the State of New Jersey, • CPR certification required per organizational policy, • IV certification required per organizational policy

Job Description WSFSSH MISSION STATEMENT The mission of WSFSSH is to provide safe, affordable, senior housing that integrates compassionate property management with supportive services to enhance the independence and dignity of each resident. WSFSSH creates and preserves affordable housing while supporting the development of healthy neighborhoods. JOB SUMMARY The Occupancy Specialist is a key member of the Leasing and Compliance team. They will report to the Assistant Director of Occupancy, while working closely with their Leasing and Compliance colleagues and Building Management. The Occupancy Specialist’s chief responsibility is to maintain a high occupancy rate at buildings owned and/or managed by WSFSSH and conduct all duties in compliance with Low Income Housing Tax Credit guidelines, subsidy guidelines, and equal housing opportunity laws. JOB DUTIES & RESPONSIBILITIES • Analyze occupancy rate at sites in portfolio and determine the appropriate number of interview/appointment notices, • Manage waiting lists in accordance with HUD tenant selection plans and Fair Housing Law, • Coordinate with the management team to ensure the apartments are ready for move-in, • Maintain and update applicant referrals through HRA’s Coordinated Assessment and Placement System (CAPS) (if applicable), • Pre-qualify applicants in accordance with the program procedures and housing requirements, • Interview applicants for program and determine eligibility, • Send third-party income verifications, • Run EIV reports and background checks (if applicable), • Prepare income certification package and submit to WSFSSH’s Compliance department as well as the city for approval (if necessary), • Gather and Input information into the property management database, • Finalize initial leasing and subsidy paperwork and submit to the building, • Prepare and conduct weekly vacancy meetings with designated members of building staff in portfolio, • Participate in lease-up of affordable housing developments by WSFSSH. Lease up activities can include Housing Connect log tracking, unit eligibility review, unit showings, lease package preparation, conducting lease signings, and other tasks as needed, • Field housing inquiries and route them to the appropriate person, • Attend training sessions and conferences as required for enhancement of job skills, • Comply fully with all WSFSSH confidentiality guidelines with discretion and integrity, • Attend supervision, team, and staff meetings, • Familiarity with HUD, Homeless programs, and Section 8 subsidy required, • Working knowledge of NYC service programs such as, but not limited to: NYC 15/15, ESSHI, DHS SRO Supportive Services, SPC CoC, NYC’s supportive housing application (2010E), • Ability to manage substantial amounts of data such as annual contract rent increases, legal rents, income limit changes, etc., • Ability to prioritize and work independently with minimal supervision, • Possess excellent organizational, interpersonal, verbal, and written communication skills, • Proficiency in Word, Excel, Outlook, Teams, and Internet search/usage Office 365, • Ability to maintain a high level of care and respect for applicants and tenants, • Ability to liaise effectively with WSFSSH employees throughout the organization to achieve the WSFSSH Leasing & Compliance Team’s goal - The ability to maintain professional relationships and boundaries, • Ability to uphold standards of diversity, equity, and inclusion in provision of services, • Maintain a commitment to supporting underserved communities who have experience systemic oppression and bias, • High School Diploma/GED required, • Minimum of 2 years of experience in NYC’s affordable housing real estate market, with experience in leasing and compliance, affordable housing programs, income certifications and/or other areas related to WSFSSH’s Leasing and Compliance function, • Certified Occupancy Specialist or LIHTC Compliance Specialist certificate required, • Experience with property management software; RealPage’s OneSite is preferable, • Experience with NYC’s Housing Connect preferred, • Experience working in government entitlements a plus, • Must be able to sit, stand, walk, and bend Westside Federation of Senior & Supportive Housing offers full-time employees a comprehensive choice of benefits that include Medical, Dental, Vision, 403 (B) retirement savings, Flexible Spending Accounts (FSA), Life & Disability, Short-term and Long- term Disability, Employee Assistance Program (EAP) commuter benefits and more. Voluntary benefit options and Time Off that includes 11-12 paid Federal Holidays, accrued Vacation and Sick Time. EEO Policy or Statement WSFSSH is an Equal Employment Opportunity Employer (EEO); employment is based upon employees’ qualifications without discrimination, on the basis of race, creed, color, national origin, religion, sex, age, disability, marital status, sexual orientation, military status, citizenship status, genetic predisposition or carrier status, or any other protected characteristic as established by law. Monday - Friday 9am- 5pm (35 Hours) Compensation details: 27-30 Hourly Wage PI25643bd96734-25405-40276003

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Associate Director of Global Submission Management (GSM) is responsible for leading, managing, strategizing, and overseeing the planning, preparation, coordination, and delivery of global regulatory submissions in compliance with applicable regulations and standards. This role involves providing hands-on operational support for submission activities while ensuring strategic alignment and process optimization across different regions. It also includes resource planning, budgeting, vendor management, and technical oversight to support the objectives of Global Regulatory Operations. The Associate Director will collaborate with the Heads of Submissions Management for the EU and Japan as needed and utilize "Follow-the-sun" processes to ensure submission timelines are met regardless of the region. The Associate Director, Global Submission Management (GSM, is responsible for the effective operation of Global Submission projects, ensuring the consistent application of global procedures and standards, and proactively assessing process performance for necessary optimizations. The Associate Director serves as the primary liaison between R&D functions, acting as the submission lead for designated global applications (e.g., INDs, NDAs, MAAs, supplements, amendments, and variations), to facilitate cross-functional logistics and communication that support submission planning. This role provides submission leadership by managing the operational aspects of global regulatory submissions to produce high-quality, time-sensitive deliverables in accordance with agreed-upon submission timelines. Additionally, the AD oversees the process for creating and updating the Global Regulatory Operations Submission Content Plan (GSCP) for major regulatory submission final deliverables, ensuring compliance with applicable regulatory agency regulations, guidelines, and specifications (e.g., FDA, EMA, HC, PMDA, Emerging Markets, ICH, CDISC) within defined timelines. Essential Functions: Leadership and Strategy * Provides leadership for the Global Submissions Team ensuring projects are appropriately resourced, partnering with other regional Submission Heads for additional support for resources when needed. * Provides the Regulatory Submission Management for a lead compound or submission project that has been identified as critical to Eisai's business success. * Provides management oversight for the Global Submission Management department, supporting the generation, and when necessary, the re-engineering of Eisai "Best Practices" related to global submission management and dossier development in pursuit of optimal processing performance while maintaining full compliance with Health Authority requirements and guideline. Global Collaboration * Collaborates with the EU and Japan Heads of Submission Management to optimize resource allocation and implement "follow-the-sun" workflows for timely submissions across all regions. * Foster strong cross-regional communication and collaboration to support global objectives. * Promotes a culture of performance and teamwork, with a focus on staff development in technical skills, interpersonal skills, education, and training, enhancing competency and professionalism. * Maintains visibility within the organization by regularly presenting on various GSM-related topics. This includes showcasing the achievements, ongoing projects, and developments of the GSM organization, as well as emerging trends in eCTD regulatory submissions. Additionally, cultivate positive and constructive relationships with other members of the Global Regulatory Operations (GRO) team and regulatory colleagues. * Actively participates in agency/industry events regularly, staying abreast of current developments, trends, and technologies, fostering constructive business relations with other industry peers, Health Authority representatives, and critical business partners/vendors. * Analyzes trends and evaluates the impact of changes in Health Authority requirements for e-submissions, communicating these changes to the relevant areas within Eisai and driving the necessary changes to processes and procedures. * Ensure the timely completion of all administrative tasks for this position, including but not limited to monthly reports, performance objective setting, performance reviews, and training, for self and staff. Hands-On Submission Support * Actively participates in submission planning and execution, including document compilation, publishing, and quality checks. * Provide technical oversight and troubleshooting for eCTD submissions and related systems. Operational Excellence * Ensure consistent application of GSM global procedures and standards. * Proactively monitors and assess process performance, identifying opportunities for continuous improvement. Requirements * Bachelor's degree in scientific or information technology field; advanced degree preferred * 8+ years of pharmaceutical industry regulatory experience * 5+ years of experience with submissions management, process development, standards development and compilation of electronic major submissions required * Proficient with U.S. and EU submission requirements including but not limited to Emerging Markets * Advance experience with the drug development process and eCTD regulatory submission standards * Expert understanding of Project Management concepts and techniques * Ability to apply SOPs regulations pertaining to electronic submissions * Ability to lead cross-functional team,establish effective relationships with team members and work well in a cross functional team environment * Advance experience creating timelines for the development and submission of drug filings to regulatory health authorities * Excellent organizational skills to support multi-task and manage submission timelines in a fast-paced environment with changing priorities * Well-organized with the ability to multi-task and work with minimal supervision * Ability to manage change to support organization's effectiveness by implementing change * Effectively communicates written and verbal communication skills * Demonstrates strong analytical, problem solving and critical thinking skills with the ability to analyze problems, identify alternative solutions and implement recommendations for resolution. * Certification is a plus (such as Regulatory Affairs Professional Society (RAPS) Technical Skills Required * Advance working knowledge of global regulatory submission standards, publishing software, software validation concepts, and regulatory publishing best practices * Proficiency in eCTD publishing tools (e.g., Lorenz docuBridge, Extedo eCTDmanager, or equivalent). * Strong understanding of ICH guidelines, regional regulatory requirements, and data standards (e.g., CDISC). * Extensive experience with Regulatory Information Management (RIM) systems and Document Management Systems (e.g., Veeva Vault, SharePoint, Documentum) * PowerPoint, SharePoint, XML, Adobe Acrobat, ISI Toolbox and eData transfer systems * Ability to troubleshoot technical issues related to electronic submissions and publishing. We are open to remote-based, but the preference for this role is a hybrid work arrangement in Nutley, NJ with 3 days a week in office every week (Tuesday, Wednesday. Thursday). Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Global Submission Management is from :$159,000-$208,700 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Robert Half is seeking an experienced Corporate Counsel to support a global transportation and logistics company in a wide range of commercial and corporate matter. This role partners closely with internal business teams to deliver practical, business‑oriented legal advice across procurement, operations, IT, and corporate functions. The ideal candidate is comfortable working in a lean, entrepreneurial setting and engaging with senior leadership. Director – Corporate Counsel (Hybrid) Location: White Plains, NY Schedule: Hybrid Duration: 4+ months (Potential for permanent hire) Pay Rate: $80–$120/hour (commensurate with experience) Key Responsibilities Commercial Contracts & Procurement • Draft, review, and negotiate a broad range of commercial agreements, including Customer charter agreements, Strategic sourcing and vendor agreements, Aircraft‑related services and MRO support contracts, Facilities and airport leasing agreements, Ground handling, fueling, catering, and logistics contracts, • Develop and maintain contract templates and playbooks to streamline procurement processes, • Support key corporate transactions, including joint ventures and acquisitions, • Provide day‑to‑day legal counsel on general corporate matters across business units, • Assist with corporate governance, policy development, and internal compliance initiatives, • Lead legal support for IT‑related agreements, • Advise on cybersecurity, data protection, and data processing matters, • Assist with dispute resolution, claims, and pre‑litigation matters, • Work closely with procurement, finance, operations, compliance, and executive leadership, • Translate legal and regulatory risk into clear, actionable business guidance, • Contribute to continuous improvement of legal processes and contract lifecycle management Qualifications • Juris Doctor (JD) degree, • 3–10 years of relevant legal experience (law firm and/or in‑house), • Active New York Bar admission, • Experience supporting commercial agreements and corporate matters, • Ability to operate effectively in a fast‑paced, entrepreneurial environment, • Comfortable “rolling up sleeves” in a lean organization, • Strong interpersonal, communication, and stakeholder‑management skills, • High level of integrity, professionalism, and attention to detail Our specialized recruiting professionals apply their expertise and utilize our proprietary AI to find you great job matched faster.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the ADHD and Behavior Disorders Center Summer Program team, you will report to Director, Summer Program. You will support the Child Mind Institute's Summer Program for children with Attention-Deficit Hyperactivity Disorder (ADHD), Oppositional-Defiant Disorder, and other learning, social, and behavioral challenges. You will receive comprehensive training in the Summer Treatment Program (STP) model, an evidence-based intervention for children with ADHD and behavioral disorders. This position supports both administrative and clinical responsibilities, assisting the program director in preparing and executing the program. You must be available for all required training, preparation sessions, and for the full duration of the program. Please review all the dates below. This is a non-exempt, on-site position at the Allen-Stevenson School and the Child Mind Institute's NYC headquarters. Trainings: 9.00am -5.00pm • Monday, June 22nd, • Tuesday, June 23rd, • Wednesday, June 24th, • Thursday, June 25th, • Friday, June 26th, • Monday, June 29th, • Tuesday, June 30th, • Wednesday, July 1st, • Thursday, July 2nd Program: • Mondays – Thursdays, weekly, • July 6th through July 31st, 2026, • 8:30 am – 3:30 pm EST, daily You Will: • Support clinical program planning, including special clinical projects and research integration., • Organize and assist in the development of the Summer Program curriculum and activities., • Provide real-time clinical support by shifting between groups as needed., • Implement the Summer Program treatment model and ensure program fidelity., • Participate in staff training sessions and team meetings., • Assist in the development and refinement of training materials for staff and patient families., • Distribute and track questionnaires and assessments to measure program impact., • Collect and analyze patient data, collaborating with clinical staff to assess program outcomes. You Have: • Bachelor's degree in psychology, social work, or related field., • Experience handling sensitive patient information with discretion., • Passion for the Child Mind Institute's mission. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Overview: A Better Childhood, a national organization dedicated to improving public child welfare systems through the use of systemic, broad-based class action litigation, is seeking an attorney with at least four years of experience to help develop and pursue significant, ground-breaking federal litigation in both district and federal appeals court throughout the country. Our work involves investigating these systems, developing relationships with local communities, partnering with national and local law firms, and bringing and prosecuting suits that will establish the rights of children under the Constitution and federal statutes. Staff attorneys will be responsible for investigating cases and drafting complaints; drafting motion and opposition briefs; coordinating all aspects of the discovery process; assisting in trial and/or settlement discussions; and assisting in enforcing the terms of judgment or settlement. The work will be major, multi-year litigation involving important legal and public policy issues. Staff attorneys will work closely with our Executive Director, Marcia Robinson Lowry. Ms. Lowry is the pioneering architect of the body of law that protects the country’s most vulnerable children. Her work sheds light on the deficiencies of our country’s long-unaccountable child welfare systems. After working in this field for over four decades, Ms. Lowry created ABC in 2014 to develop new and innovative approaches to helping children who have been left to languish and suffer. Responsibilities: Attorneys will be based in New York City and will work on sites across the country, with some travel. They will conduct legal research, develop legal theories, work with experts, learn the details of particular systems under scrutiny, and help shape the litigation to address the problems in those systems. The litigation will be intensive and fact-based, and will involve the interplay with constitutional and statutory requirements. Staff attorneys can expect take part in all aspects of an investigation and litigation, including but not limited to: • Investigating potential cases and drafting complaints, including reviewing and analyzing publicly available data and speaking to numerous potential sources involved in the child welfare system in any given state;, • Performing legal research for and drafting briefs in connection with dispositive and discovery motions;, • Engaging in the discovery process, including drafting requests for production and interrogatories, handling discovery-related conferences and correspondence, arguing discovery motions, and taking and defending depositions; and, • Assisting in trial or settlement discussions, analyses of compliance with the terms of a settlement or judgment, and any enforcement of these settlement or judgment terms. Required Qualifications: • Admission to the bar in any jurisdiction, • Minimum of four years of litigation, preferably in federal court, • Excellent research, writing and organizational skills, • Demonstrated interest in public interest work, • Passion for ABC’s mission, • Ability to work independently and collaboratively, • Ability to thrive in a busy, multi-tasking and time-pressured environment, • Good sense of humor Location: We out of our central Manhattan office three-days-per-week, and the remaining two days are remote. How to Apply: ABC values diversity in our workforce and encourages candidates of diverse backgrounds to apply. ABC is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, national origin, religion, gender, sexual orientation, disability, age, marital status, or status with regard to public assistance. We will review candidates on a rolling basis. No phone calls please. Applications, including resume, cover letter and writing sample should be sent to . Benefits A Better Childhood offers a benefits package that includes health, dental, and vision insurance, a retirement plan, and generous paid-time off.

Job Description The Mental Health Association is seeking Mobile Crisis Outreach Responders for our new program, 988 Mobile Crisis Outreach Team, operating out of Hudson County The 988 Mobile Crisis Outreach Response program will respond to adults (18 and above) in nonlife-threatening situations who have contacted the 988 Suicide and Crisis Lifeline. The Mobile Crisis Outreach Response program (MCORT) responds 24 hours a day, seven days a week, every day of the year, to nonlife-threatening mental health, substance use or suicidal crises in the community. MCORT will work in coordination with the 988 Suicide and Crisis Lifeline crisis centers. (The 988 Suicide and Crisis Lifeline was formerly the National Suicide Prevention Lifeline.) MCORT is to be comprised of a two-person team in the field under remote supervision by a third professional from a centralized location. Shift times available: Monday - Friday 3PM - 11PM Qualified applicants for the position of Crisis Outreach Responder will have, at minimum: • A Bachelor’s Degree in a mental health related field from an accredited institution with two years post bachelor’s professional experience required. If the bachelor’s degree is in a different field, three years full time equivalent professional experience in the mental health field is required., • The ability to provide effective crisis response and de-escalation as related to community mental health in the community., • A valid NJ driver’s license and a good driving record., • The ability to collaborate effectively with community providers and 988 managing entity., • Professionals with experience in a crisis setting are preferred., • Providing evidenced based crisis services, when identified by the 988-managing entity, to individuals experiencing a mental health or substance use disorder crisis in the community., • When necessary, connecting with the Master’s Level Supervisor remotely to provide additional psychological, psychiatric, or clinical services., • Supporting individuals to de-escalate crisis, and when deemed necessary, safe, and appropriate, provide transportation to crisis stabilization and receiving centers, certified community behavioral health clinics, or hospital’s emergency departments for appropriate care and treatment., • Developing systems for on-going follow up for community members in need of connections to social services that can enhance prevention of non-emergency calls and increase early intervention treatment access., • Completing a direct follow up with identified clients and collateral contacts as needed in order to facilitate access to appropriate services based on immediate client needs., • Providing weekend/holiday coverage on a rotating basis for 24 hour/7 day access to services., • Collaborating with family members, friends or loved ones to assist and support individuals in crisis on an as-needed basis. Record Keeping & Reporting Record keeping as required by funding sources through the electronic clinical record software, and/or accreditation agencies as required. Other duties as assigned by Program Director. Annual Base Rate: $55K Reports to: Master’s Level Supervisor – 988 Mobile Crisis Outreach Response Team. #High Fully paid medical coverage for eligible staff. Generous 401(k) match. Plentiful Paid Holidays, Vacation, Personal and Sick time. MHAEM is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is MHAEM’s policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. EEO/AA M/F/M/V/D Employee Rights under the FMLA Powered by JazzHR h9Z03tgLzK

Job Description Mission Statement: Baltic Street Wellness Solutions is committed to providing peer recovery, person-centered, trauma-informed, and compassionate services to those with mental health lived experiences. Vision: Our vision is to drive a cultural transformation within the mental health community by advocating for the underserved, educating for change, and inspiring wellness. We approach our role with cultural humility and mindfulness of oppressive systems. Our Core Values: • We value a mentoring philosophy delivered by staff with peer-lived experiences., • We value the recovery journey of every individual with a mental health diagnosis., • We value the personal and professional experiences of our staff and board members., • We value community action to change societal views to break the stigma of mental health through advocacy within all systems., • We value everyone's desire to have opportunities to obtain their visions of wellness., • We value education and training to enhance an individual's opportunities for growth in one's journey to self-discovery. Position Summary Baltic Street Wellness Solutions (BSWS), in collaboration with Richmond University Medical Center (RUMC), is seeking a Senior Peer Specialist to provide oversight on a 3-person team of Peer Specialists offering recovery-focused support in emergency and community settings to individuals in acute behavioral crisis. Working within RUMC’s Comprehensive Psychiatric Emergency Program (CPEP) and Mobile Crisis Program, the Senior Peer Specialist will use their lived experience with mental health recovery to engage individuals in crisis, foster hope, and connect them to community resources while providing oversight to the Team of BSWS Peer Specialists and ensuring the maintenance of standards as specified by the RUMC contract. This role requires strong team coordination and communication skills, flexibility, and the ability to build trust in high-intensity environments. The Senior Peer Specialist will work alongside the clinical team in the CPEP unit and oversee the collaboration with the RUMC management Team, collaborate with clinical teams, support self-advocacy, and uphold the highest standards of confidentiality and person-centered care. Key Responsibilities • Engage with individuals in the CPEP and community settings (Mobile Crisis Program) through compassionate peer support, based on lived experience with mental health recovery., • Participate in initial assessments and engage with patients and families to build trust and foster recovery-oriented relationships., • Identify and facilitate access to resources including entitlements, housing, benefits, and Baltic Street programs., • Provide individual peer support using a trauma-informed, person-first approach., • Facilitate peer-led support groups, wellness activities, and psychoeducational workshops that promote recovery and self-advocacy., • Collaborate with interested participants to develop personalized recovery plans, including Advance Directives and Wellness Recovery Action Plans (WRAP)., • Act as a liaison between participants and their treatment teams, ensuring care is coordinated, non-coercive, and culturally responsive., • Develop community asset-based mapping to help participants identify and utilize local supports., • Support participants with transitions from emergency rooms and hospitals., • Maintain accurate and timely documentation of all participant interactions, recovery plans, and referrals., • Conduct chart reviews and maintain participant records in compliance with program standards., • Participate in staff meetings, case conferences, supervision sessions, ongoing peer support training to uphold professional standards and administrative meetings to share insights and improve care approaches., • Obtain participant consent in accordance with existing consent policy at RUMC before initiating services, in accordance with privacy laws and internal policies., • Submit monthly engagement reports to RUMC Administrative Director (or designate) including metrics on new and ongoing participant contacts., • Maintain strict adherence to HIPAA and all applicable privacy/confidentiality policies., • Safeguard patient records and refrain from disclosing personal health information without consent., • Participate in RUMC-led crisis intervention and other training programs as required., • New York Certified Peer Specialist (NYCPS)., • At least 4 years of related work experience, preferably in mobile engagement, CPEPs’ and crisis response., • Lived experience with mental health recovery and a demonstrated ability to use this experience to support others., • Strong verbal and written communication skills (multilingual capacity is a plus)., • Demonstrable familiarity with the use of Microsoft Office, • Ability to commute independently to the work site and in keeping with the requirements of the mobile crisis program., • Familiarity with entitlement systems (SNAP, SSI/SSDI, Medicaid, Medicare, HRA)., • Experience with electronic health records is preferred., • Knowledge of SAMHSA’s Eight Dimensions of Wellness and Wellness Recovery Action Plans (WRAP)., • Proof of COVID-19 vaccination required or documentation of medical/religious exemption. Baltic Street Wellness Solutions will require selected candidates to submit proof of complete vaccination against COVID-19 and having received a booster shot. If a candidate has a qualifying medical condition or religious exemption that contraindicates a COVID-19 vaccination, an exemption form should be requested from Human Resources. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. While performing the duties of this position, the employee is regularly required to talk or hear. The employee frequently is required to use hands or finger, handle, or feel objects, tools, or controls. The employee is occasionally required to stand, walk, sit; reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, peripheral vision, and the ability to adjust focus. The noise level in the work environment is usually moderate.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. JOB SUMMARY: Intro to the Crisis Prevention and Response (CPR) Team Our Crisis Response and Prevention team envisions and enables our mission of A World Without Suicide. It is our goal that all of our clients find unwavering support and hope. Rooted in our core values of Connection, Commitment, and Congruence, we strive to transform crises into opportunities for growth and healing. With cutting-edge best practices and compassionate care, our team empowers individuals to seek help fearlessly. Our clients never give up, and neither do we. Together, we are driving the democratization of mental health treatment each and every day. Why is the CPR Team important? • Immediate Intervention: Prompt assistance during moments of acute distress or emotional upheaval., • Safety and Stabilization: Ensuring the well-being and stability of participants during critical situations., • Continuity of Care: Ensuring support during acute moments whilst in treatment ensuring continuity from the group experience to the individual/family experience., • Preventing Relapses and Hospitalizations: Reducing the risk of relapses and the need for hospitalizations. A part time Crisis Intervention Specialist at Charlie Health plays a crucial role in ensuring the safety and stability of our clients during acute mental health crises. They are responsible for immediate screening and intervention when clients exhibit severe emotional distress or harmful behaviors. Crisis Intervention Specialists collaborate with the clinical team to screen risk of highly acute clients, develop crisis intervention plans, de-escalate dysregulated clients, and connect patients with appropriate resources to facilitate their recovery and well-being within the IOP setting. DUTIES & ESSENTIAL JOB FUNCTIONS: • Monitors crisis queues for clients receiving individual therapy, family therapy, and participating in group sessions, • Responds to inbound crisis calls providing real-time risk assessment, de-escalation, and safety planning, • Screen risk and collaborates on stabilization planning for clients at risk of harm to themselves or others, • Completes all required documentation in alignment with compliance standards and Charlie Health's best practices, • Serves as key point of contact for crisis triage during client group sessions in collaboration with Senior Care Coaches and Care Coaches, • Conducts case consults with Care Team members as needed, • Supports all Care Team members (i.e., Primary Therapists, Care Coaches, Group Facilitators, etc.) in collaboration regarding the client's care, • Other care coordination tasks as needed, • Independently licensed clinician, • Previous experience in crisis preferred, • Ability to work a minimum of 12 hours per week with flexibility to meet the needs of the team and clients, • Motivated individual who is passionate about mental health, able to perform in a high-paced environment, and eager to play a formative role in shaping a growing business. POSITION CLASSIFICATION: W2 Part-Time Please note that this role is not available to candidates in Illinois. Based on the nature of this role, you will need to complete several state background checks for clearance to see clients. Florida requires a fingerprint based background check, with more information found here. Please note that the cost for this background check will be paid for in full by Charlie Health. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description The Mental Health Association is seeking Per Diem Mobile Crisis Outreach Responders for our new program, 988 Mobile Crisis Outreach Team, operating out of Hudson County The Per Diem 988 Mobile Crisis Outreach Response program will respond to adults (18 and above) in nonlife-threatening situations who have contacted the 988 Suicide and Crisis Lifeline. The Mobile Crisis Outreach Response program (MCORT) responds 24 hours a day, seven days a week, every day of the year, to nonlife-threatening mental health, substance use or suicidal crises in the community. MCORT will work in coordination with the 988 Suicide and Crisis Lifeline crisis centers. (The 988 Suicide and Crisis Lifeline was formerly the National Suicide Prevention Lifeline.) MCORT is to be comprised of a two-person team in the field under remote supervision by a third professional from a centralized location. Shifts are on an as-needed basis for this position. Specifically seeking holiday and weekend coverage. Qualified applicants for the position of Per Diem Crisis Outreach Responder will have, at minimum: • A Bachelor’s Degree in a mental health related field from an accredited institution with two years post bachelor’s professional experience required. If the bachelor’s degree is in a different field, three years full time equivalent professional experience in the mental health field is required., • The ability to provide effective crisis response and de-escalation as related to community mental health in the community., • A valid NJ driver’s license and a good driving record., • The ability to collaborate effectively with community providers and 988 managing entity., • Professionals with experience in a crisis setting are preferred., • Providing evidenced based crisis services, when identified by the 988-managing entity, to individuals experiencing a mental health or substance use disorder crisis in the community., • When necessary, connecting with the Master’s Level Supervisor remotely to provide additional psychological, psychiatric, or clinical services., • Supporting individuals to de-escalate crisis, and when deemed necessary, safe, and appropriate, provide transportation to crisis stabilization and receiving centers, certified community behavioral health clinics, or hospital’s emergency departments for appropriate care and treatment., • Developing systems for on-going follow up for community members in need of connections to social services that can enhance prevention of non-emergency calls and increase early intervention treatment access., • Completing a direct follow up with identified clients and collateral contacts as needed in order to facilitate access to appropriate services based on immediate client needs., • Providing weekend/holiday coverage on a rotating basis for 24 hour/7 day access to services., • Collaborating with family members, friends or loved ones to assist and support individuals in crisis on an as-needed basis. Record Keeping & Reporting Record keeping as required by funding sources through the electronic clinical record software, and/or accreditation agencies as required. Other duties as assigned by Program Director. Base Hourly Rate: $26.44 Reports to: Master’s Level Supervisor – 988 Mobile Crisis Outreach Response Team. #High Fully paid medical coverage for eligible staff. Generous 401(k) match. Plentiful Paid Holidays, Vacation, Personal and Sick time. MHAEM is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is MHAEM’s policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. EEO/AA M/F/M/V/D Employee Rights under the FMLA Powered by JazzHR Ff879dloHr

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 working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • 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 building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • 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., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, 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:$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 Pay Transparency provision. 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, 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 Pay Transparency provision. 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 and implement features end-to-end across front-end, back-end, and infrastructure, • Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal, • Own high-impact technical systems that are critical to Scale's revenue delivery, • Build and iterate on complex systems that scale to millions of tasks per week, • Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders, • Help shape the engineering culture, values, and best practices of a fast-growing team, • 3+ years of relevant software engineering experience, • Track record of building and shipping products at scale, • Ability to thrive in a fast-paced, high-ownership environment, • Strong product intuition and problem-solving skills, • Experience across the stack: React, Typescript, Node, Python, etc., • Excited to join a hybrid team based in San Francisco or New York City 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:$180,000—$225,000 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 Pay Transparency provision. 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 Locations US-NY-New York Requisition ID 2026-12455 Category Marketing and Proposal Support The Director of Marketing, Affordable & Mixed-Income Housing is responsible for leading all marketing-specific proposal and pursuit activities and project-specific marketing efforts for Gilbane Development's Affordable and Mixed-Income and Acquisitions vertical business line. This position sets the strategic direction for vertical marketing and procurement efforts, manages pursuit and marketing team resources, and is accountable for brand presence, proposal quality, pursuit execution to support the development team, budget management, and marketing KPI performance for the vertical. This role is responsible for strengthening Gilbane Development's ability to compete successfully once target opportunities are approved for pursuit by the development team. This leader will work closely with the development team to help convert identified opportunities into wins through compelling positioning, high-quality proposals, strong interview strategies and materials, and coordinated pursuit execution. The ideal candidate will bring experience working in or alongside public-sector, affordable housing, and community partnership environments, with the ability to translate complex development strategies into clear, persuasive messaging for agencies, housing authorities, nonprofit partners, community stakeholders, and internal leadership. Vertical Marketing Leadership Lead the marketing strategy for the Affordable and Mixed-Income vertical, including positioning, messaging, thought leadership, campaign and PR planning, and market visibility. • Develop and maintain a differentiated brand narrative for Gilbane Development's affordable and mixed-income housing platform, emphasizing mission, execution capability, community impact, and partnership strength., • Own the end-to-end proposal and procurement process for the vertical, including pursuit strategy, response planning, compliance, content development, interview preparation, and final submission of RFQs, RFPs, qualifications packages, and presentations., • Lead pursuit strategy sessions and develop win themes, executive summaries, differentiators, interview messaging, and visual direction for submissions., • Ensure consistent quality, brand alignment, and on-time delivery across all pursuit materials., • Build repeatable tools, templates, and content libraries that improve efficiency and consistency across pursuits., • Support the Affordable and Mixed-Income vertical in aligning marketing efforts to pipeline priorities and active pursuits., • Collaborate with vertical leadership to position Gilbane Development effectively for public-sector, nonprofit, institutional, and community-based opportunities., • Provide marketing and pursuit leadership that helps the development team convert qualified opportunities into successful outcomes., • Bring working knowledge of affordable and mixed-income housing delivery models, public-private partnerships, community engagement, and procurement requirements that influence pursuit strategy and messaging., • Translate complex development, finance, and community-benefit concepts into clear, persuasive communications for municipalities, agencies, housing authorities, community stakeholders, and capital partners., • Manage vertical marketing and procurement leads and provide strategic direction, coaching, workload prioritization, and quality oversight., • Establish KPIs for pursuit performance, brand visibility, and marketing effectiveness; monitor results and adjust strategy as needed., • Manage the vertical/project marketing budgets and ensure investments support growth priorities and measurable outcomes., • Streamline sales processes and workflows to increase efficiency and productivity., • Design and deliver training programs to improve the team's skills and knowledge., • Gather feedback from the development team and continuously refine strategies and resources., • Bachelor's degree in marketing, communications, business, real estate, urban planning, public policy, or related field., • 10+ years of progressive experience in marketing, pursuits/proposals, business development support, or strategic communications, with substantial experience in real estate development, affordable housing, construction, architecture, or adjacent professional services., • Demonstrated success leading complex RFP/RFQ/proposal submissions and interview processes., • Excellent writing, editing, presentation, and storytelling skills., • Experience managing teams, budgets, and cross-functional initiatives., • Advanced knowledge and skills in Adobe Creative Suite, PPT, and across the Microsoft platform., • Experience supporting affordable or mixed-income housing pursuits., • Understanding affordable housing programs, public-sector procurement environments, and community engagement, as well as experience working with or supporting public-sector clients, community-based partners, housing authorities, nonprofit organizations, or similar stakeholder groups is a strong benefit., • Familiarity with housing authorities, public agencies, nonprofit partners, and mission-driven capital partners., • Experience developing interview strategies, pursuit presentations, and high-impact messaging., • Proficiency with proposal management workflows and marketing analytics. For New York this ranges from $167,000.00 - $200,000.00 plus benefits and retirement program. Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees' education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test. Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Note to Recruiters, Placement Agencies, and Similar Organizations: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly. We can recommend jobs specifically for you! Click here to get started.

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 and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team 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 Pay Transparency provision. 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 Director of Molecular Diagnostics serves as the CLIA Laboratory Director for NYGC's clinical molecular diagnostics laboratory. This role provides clinical and scientific leadership for a CLIA-certified, CAP-accredited laboratory performing next-generation sequencing (NGS)-based genetic and oncology testing. The Director is responsible for the clinical validity, regulatory compliance, and operational excellence of all laboratory testing activities. This includes oversight of assay development and validation, quality management systems, regulatory compliance, personnel competency, and clinical interpretation and reporting of molecular diagnostic tests. The Director ensures compliance with CLIA, New York State Department of Health (NYS CLEP), CAP, and other applicable federal and state regulations, including licensure requirements for laboratories providing testing services across multiple U.S. states. Job Responsibilities: Laboratory Leadership and Oversight * Provide scientific, clinical, and regulatory oversight for all molecular diagnostic testing operations at NYGC. * Ensure the laboratory operates in full compliance with CLIA, NYS CLEP, CAP, and other applicable regulatory standards. * Maintain active oversight of laboratory operations through regular presence and engagement with laboratory staff. Assay Development and Validation * Lead the development, validation, and implementation of next-generation sequencing (NGS)-based diagnostic assays for constitutional genetics and oncology. * Review and approve validation protocols, validation summaries, and performance characteristics for all new and modified assays. * Ensure validation of both FDA-approved/cleared platforms and laboratory-developed tests (LDTs) in accordance with regulatory standards. Quality Management and Compliance * Oversee the laboratory Quality Management System (QMS) including QA/QC programs, instrument maintenance records, and performance monitoring. * Direct implementation and management of proficiency testing programs for genetic and oncology assays. * Ensure ongoing compliance to maintain: * New York State certification (Genetic Testing; Molecular Oncology - Tumor and Cellular Markers) * CAP accreditation * CLIA certification * Lead continuous quality improvement initiatives and participate in monthly quality assurance meetings. * Oversee applications and maintenance of state laboratory licenses for laboratories providing testing services across multiple U.S. states. * Participate in CLIA, CAP, and institutional working groups or committees as appropriate. Clinical Interpretation and Reporting * Provide professional interpretation, review, and sign-out of molecular diagnostic test results. * Ensure test reports meet clinical, regulatory, and laboratory standards. * Serve as a resource for clinical consultation with ordering physicians and healthcare providers. Personnel Oversight * Supervise laboratory personnel and ensure appropriate training, competency assessments, and continuing education. * Ensure laboratory staffing and qualifications meet regulatory requirements. This person must maintain sufficient on-site presence to provide effective oversight of laboratory operations. They must also be available for personal, telephone, or electronic consultation with laboratory personnel and clients. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change. Position Requirements: * MD or PhD in molecular biology, genetics, or a related field. * Board certification in an appropriate specialty (e.g., Clinical Molecular Genetics and Genomics or Molecular Genetic Pathology). * Possession of New York State Certificate of Qualification (CQ) in Genetic Testing required. Additional NYS Certificates of Qualification (e.g., oncology, infectious disease) preferred. * Minimum 5 years of leadership experience in a molecular diagnostics laboratory, including oversight of clinical NGS testing and laboratory personnel. * Demonstrated expertise in molecular diagnostics assay validation, regulatory compliance, and quality systems. * Experience directing laboratories performing constitutional genetic testing and molecular oncology testing preferred. * Experience managing laboratories licensed in multiple U.S. states preferred. Don't meet every single requirement? At NYGC we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. * Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. * Leader and Manager: Attracts, develops and retains diverse talent to achieve outstanding results; encourages professional development, coaches and regularly communicates expectations and feedback; aligns and inspires efforts toward our mission; translates organizational vision into action; responsibly utilizes NYGC's human and financial resources to ensure organizational and financial health; uses good judgment when making decisions; pushes boundaries and generates new ideas. Work Flexibility NYGC has established a flexible work policy to give employees and other staff more ability to balance their work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement with supervisory approval. It requires a minimum of two days per week onsite. Occasional evening and weekend work may be required. Salary & Benefits The pay range for this position is $300,000-320,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. About Sales Strategy & Operations As a Sales Strategy & Operations team, our mission is to power sustainable revenue growth for Pinterest with data-driven strategic insights and decision making, tight management against them and high-impact revenue management. As we inform critical business decisions driving revenue growth, members of the team are highly visible to senior Sales Leadership at Pinterest and throughout the organization at large. What you'll do: Reporting to the Senior Director of Sales Strategy & Operations for North America Enterprise Sales, and in close partnership with the VP of North America Enterprise Sales focused on CPG, you will develop and bring to life data-driven strategies to accelerate growth in this critical business vertical.In this role, you will: • Partner with CPG Enterprise sales leadership to proactively define and deploy critical strategic, organizational and operational initiatives to increase revenue, sales productivity and operational efficiency, • Proactively inform decision making on Sales priorities with quantitative and qualitative insights and structured recommendations - and monitor/drive progress against those, • Lead the ongoing analysis of the business (revenue, operating metrics) to identify opportunities, risks and gaps - with weekly business reviews and ad hoc deep dives. Translate data into insights and action, • Present complex actionable insights about the business and recommended solutions - and drive action against them, • Structure and execute on projects by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations, • Apply AI for data analysis and insight generation: leverage AI tooling to simplify and speed up data analysis and insight generation. Ensure strong understanding of AI outputs and connection back to data sources of truth and validating AI outputs, • Standardize and automate workflows using AI tooling: documenting and improving recurring sales processes, building templates, checklists, and lightweight "miniagents" or scripts that remove manual work from planning, reporting, and sales operations, • Work with and influence cross-functional teams including Finance, Product & Engineering, Client Solutions, • Contribute to the definition and execution of the broader North America Enterprise Sales strategy and Sales Strategy & Operations priorities. Support strategic planning efforts., • Identify and pursue opportunities for consistency and scale across the team (e.g., shared initiatives, improved processes & systems) What we're looking for: • 7+ years of professional experience in strategy & operations in a fast-paced, highly analytical environment, for instance: management consulting, investment banking, or tech/media, • Direct experience in digital ad sales strategy & operations preferred, • Strong analytical & quantitative skills; exceptional proficiency working with large datasets and expert at translating complex data into clear, actionable insights and structured opportunities, • Proven ability to drive impact in a complex, fast-paced environment, • Organized, detail-oriented and strategically focused, • Bachelor's degree in a relevant field such as business, economics, statistics, or a related field or equivalent experience., • AI native / AI first instincts: Candidates are expected to use internal AI, agentic tooling as a default first step for problem-solving, research, and answering sales/operaitonal questions before escalating to humans, • Can apply human judgement while using AI tooling: AI is a tool for productivity but it should not replace human judgement. Candidates need to know how to sanity check AI outputs and maintain their own voice, standards, and ensure AI outputs meet company policy and security requirements., • Familiarity with SQL, Salesforce, and Tableau is a plus, but is not required In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration at least one day per week and therefore needs to be in a commutable distance from the Pinterest New York office. Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-AT6 #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$155,644—$272,377 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

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 are looking for a Mission Software Engineering Manager 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: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% 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., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has 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. 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, • 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 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 Pay Transparency provision. 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.

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. 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:$285,200—$356,500 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 Pay Transparency provision. 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 Pay Transparency provision. 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 Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. 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 Pay Transparency provision. 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 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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 Pay Transparency provision. 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 Pay Transparency provision. 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 Pay Transparency provision. 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 Pay Transparency provision. 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 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases 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 Pay Transparency provision. 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.

UDR is seeking a Resident Service Specialist to join our team at Columbus Square (710 units) located in New York, NY. GENERAL SUMMARY OF DUTIES: Responsible to coordinate responses to resident service issues as well as tracking and following up on move-in satisfaction. Maintain company customer service standards within the community. Complete various administrative functions associated with residents' needs, Move-In coordination, Onesite responsibilities, coordinating concierge type customer service, and resident activities. Provide coordination to ensure high quality resident customer service. SUPERVISION RECEIVED: Reports directly to Community Director, Senior Community Director or Resident Services Manager. SUPERVISION EXERCISED: N/A ESSENTIAL FUNCTIONS: Move-In Coordination 1. Ensure each new resident has a move-in orientation conducted by appointment., 2. New residents are contacted within seven days of move-in to ensure they are satisfied and to report any issues. Onesite Responsibilities 1. Scan all required move-in documents into Onesite., 2. Oversee Pending Tasks. Customer Service Administration 1. Guide walk-in traffic and minimize the wait time., 2. Handle any walk-in resident concerns with the Resident Service Manager and/or Community Director., 3. Ensure that all voicemails, texts, emails and other resident and community communications are checked and responded to within established time guidelines., 4. Organize incoming packages systematically and distribute as needed., 5. Work closely with the Business Manager, Centralized Admin, Centralized Sales and Renewal teams to ensure leasing and renewal goals are met., 6. Utilize CRM to effectively manage resident relations, service requests and resident communications. Property Condition oversight 1. Walk through the move-in ready apartment to ensure they meet standards prior to orientation., 2. Walk through all amenities daily to ensure they are stocked and in good condition., 3. Walk problematic areas that are raised by residents on the day they are reported to ensure deficiencies are addressed. Follow-up with the service team until resolved., 4. Provide superior customer service to internal and external customers. Back-Up coverage 1. Interact with walk-in prospects by showing the property if needed and answering questions about the community., 2. Receive and greet visitors to the community and answer prospects, residents, and customer inquiries as well as phone calls., 3. Research and prepare any reports, memos, letters, resident correspondence, and other documents using word processing, spreadsheet, database, or presentation software at the direction of the Resident Services Manager or Community Director., 4. May interact with walk-in prospects by setting-up a self-guided tour, answering questions about the community, lease terms, and local area., 5. Complete market summary and comp reports as directed., 6. Comply with all Company policies and procedures related to employment., 7. Commit to Living the UDR Values each day in every action taken when executing the essential functions of the job., 8. Perform Resident Service Manager duties in the absence of the Resident Service Manager., 9. Perform other duties as assigned or as necessary. PERFORMANCE REQUIREMENTS: Knowledge of organizational policies and procedures. Ability to apply policies and procedures to solve everyday issues. Ability to define problems, collect data, establish facts, and draw valid conclusions. Must have excellent organizational skills. Ability to perform a variety of support assignments requiring some exercise of independent judgment. Demonstrated knowledge and familiarity with community and rental property operations. Must know and follow the Fair Housing laws. Demonstrated skills with customer service. Knowledge of principles and methods for showing and promoting property. Ability to effectively present information to prospective or current residents. Knowledge of Onesite reporting; office practices and procedures; filing and maintenance of fiscal records. Must be detail orientated. Must demonstrate excellent interpersonal skills; problem solving skills; and decision-making skills. Ability to meet and deal effectively with clients, associates, and the general public. Excellent verbal and written communication skills. Ability to create, compose, and edit written materials. Ability to establish priorities and coordinate work activities. Ability to work in conjunction with Company managers, residents, and associates. Must be skilled in word processing, drafting correspondence and memoranda. Attention to details, and basic experience with the internet. MS Office software applications required (e.g., Microsoft Office, Word and Excel). Knowledge of basic office practices and procedures; filing and maintenance of fiscal records. TYPICAL PHYSICAL DEMANDS: Requires prolonged sitting, some bending, stooping and stretching. Occasionally lifting files or paper weighting up to 30 pounds. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare, and communicate appropriate reports. Regular and consistent attendance on the job is an essential function. TYPICAL WORKING CONDITIONS: Normal office environment. Incumbents must be able to physically access all exterior and interior parts of the community and amenities. Periodic exposure to outside elements where temperature, weather, odors, and/or landscape may be unpleasant and/or hazardous. Occasional evening or weekend work. EDUCATION AND EXPERIENCE: 1. High School Diploma, or equivalent, is required., 2. Associate degree in business administration or equivalent, is preferred., 3. Minimum of two years of office experience is required., 4. Minimum of Two years' experience in residential properties, rental operations, hotel or related business operations is preferred., 5. Must have and maintain a valid driver's license unless otherwise noted. UDR is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. 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. Technical Leadership & Vision • Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI's overall AI strategy and business goals., • Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities., • Core Agent Capabilities Development:, • Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises., • Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas., • Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base., • Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth., • Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team., • Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions., • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience., • 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment., • 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain., • Deep expertise in Generative AI and Large Language Models (LLMs)., • Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale., • Experience with large-scale distributed systems and real-time data processing., • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field., • Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization., • Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms., • Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems., • Experience with vector databases and advanced retrieval techniques., • A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD)., • Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. 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 Pay Transparency provision. 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:$259,200—$324,000 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 Pay Transparency provision. 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 Pay Transparency provision. 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.