Mental health research jobs in Bayonne, New Jersey - Page 2Create job alerts

Made’s mission is to help homeowners save time, money, and stress. It starts with Made Card - a credit card designed specifically for homeowners, with unmatched rewards on mortgage payments, home improvements, utilities, and essential purchases. Each swipe powers a personalized home management platform where users can manage home systems & appliances, stay ahead on upkeep, and get help - from AI-driven guidance to in-person services - exactly when they need it most. By bringing together financial tools, data, and trusted professionals, we give people more control, more savings, and more time to enjoy the place they call home. We’re partnered with leading national players in the residential homeownership space - from mortgage lenders to home services providers - embedding Made into the key moments of the homeowner journey. These partnerships let us reach millions of households across the country and deliver meaningful benefits to homeowners. Backed by top investors like Village Global, Jump Capital, Recharge Capital, and Soma Capital, our leadership team brings deep fintech, mortgage, and credit card experience from Ramp, Bain Capital, JP Morgan Chase, American Express, and Morgan Stanley. We’re building the financial and engagement platform for the next generation of homeowners - one that puts the homeowner at the center, and redefines what it means to feel at home. We’re looking for a Senior Product Manager to drive the strategy, roadmap, and execution for key areas of the Made Card and homeowner platform. This role is central to shaping how homeowners earn and redeem rewards, manage their home finances, and experience the Made platform end-to-end. You’ll collaborate across product, design, engineering, partnerships, and marketing to launch features that deliver real value to homeowners and accelerate company growth. * Own the product roadmap for one or more core areas of the Made Card and homeowner platform. * Translate company strategy and customer insights into clear product requirements and priorities. * Drive the full product lifecycle from concept to launch, balancing speed, quality, and scalability. * Partner with design and engineering to deliver intuitive, user-friendly, and impactful experiences. * Collaborate with partnerships and marketing to ensure product launches align with distribution and growth strategies. * Conduct competitive analysis, user research, and data analysis to inform product decisions. * Measure success through KPIs and continuously refine products based on insights and feedback. * Help shape product culture and processes as one of the early senior PMs on the team. * 6-10+ years of product management experience, ideally in consumer fintech, credit cards, or high-growth startups. * Proven track record of shipping successful products end-to-end. * Strong strategic thinking combined with excellent execution skills. * Ability to synthesize customer needs, data, and business goals into actionable product decisions. * Strong cross-functional leadership and communication skills. * Comfortable working in a fast-paced, ambiguous startup environment. We understand that not everyone comes from a traditional background. If you are a rockstar with a non-traditional path, we'd love to talk to you! * Experience in payments, credit cards, or financial services platforms. * Background in homeownership, proptech, or real estate technology. * Familiarity with growth marketing and partner-driven distribution models. * Passion for credit cards, points, and the homeownership journey. You’ll be one of the senior product leaders shaping the future of Made Card and the broader homeowner platform. This is a rare opportunity to own high-impact areas of a product from the early stages, with visibility across the company and a direct hand in defining how millions of homeowners experience financial control and peace of mind. * Base Compensation Band: $150,000–$200,000 (determined by experience, qualifications, and location) * Compensation: Competitive salary with a meaningful stake in the company via equity, and 401k plan * Health & Well-being: We’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits * Grow Together: Company-wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback * Mortgage Benefit: Receive up to $25,000 toward closing costs of a new mortgage via our mortgage partners * Play Together: Quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners! * Generous Time Off: Flexible paid time off, sick days, and 11 company holidays Throughout the interview process, please remember that emails will only be from ___ emails. We won't ever be asking for any personally identifiable information during the interview process itself. Please reach out to ___ if you have any requests to verify the authenticity of an outreach. Made Card is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Made Card makes hiring decisions based solely on qualifications, merit, and business needs at the time.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • 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 instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. 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.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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.

Russell Tobin's client, an American specialty retail company, is hiring an Assistant Designer – Swimwear in New York, NY. Assistant Designer – Swimwear Location: New York City (Onsite) Duration: 12-Week Contract Pay Rate: Up to 37.93/hour We are seeking a creative and detail-oriented Assistant Designer – Swimwear to support the design team in developing commercially successful swim collections. This role is ideal for someone with a strong fashion eye, technical design expertise, and a passion for trend-driven product development in a fast-paced retail environment. Key Responsibilities • Create commercial, brand-right swimwear designs aligned with seasonal concepts and business strategy, • Develop product designs with strong attention to style, fit, fabric, print, and color, • Execute sketches, prototypes, and technical specifications with accuracy and speed, • Create and maintain detailed tech packs, BOMs, and construction details, • Update linesheets throughout the season, ensuring all information remains accurate, • Research trends, competitors, and market opportunities to inspire new ideas, • Collaborate cross-functionally with Merchandising, Marketing, Product Development, Graphics, and Color teams, • Present design concepts and seasonal updates to leadership and internal partners, • Incorporate feedback into designs and support finalization processes, • Help mentor and support junior design talent, • Bachelor’s degree in Design or equivalent experience, • 3+ years of design experience within a retail or fashion environment, • Strong understanding of swimwear construction, fit, fabrics, and styling, • Proven ability to create original sketches and commercially successful products, • Proficiency in Adobe Creative Suite, Illustrator, InDesign, and Microsoft Office, • Experience with Centric PLM is a plus, • Strong communication, presentation, and collaboration skills, • Highly organized, creative, and solutions-oriented, • Passion for fashion, trend research, and product innovation, • Fully onsite position, • Company laptop/equipment provided, • Immediate hiring timeline, • One interview process with the hiring manager, • Project-based role supporting increased workload demand Russell Tobin is a leading minority-owned professional and technical recruitment and staffing advisory organization. We are comprised of specialized practices focusing on a variety of skill sets and industries. Having a depth and breadth of industry expertise, our subject matter experts are able to provide tailored and swift sourcing solutions to fulfill client hiring needs. In other words, we connect top talent with companies. We are the staffing arm of the Pride Global network, a minority-owned integrated human capital solutions firm, with additional offerings in vendor management, payroll programs, and business process optimization. Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Salary Range Minimum 56,280 Salary Range Maximum 93,720 Be part of an amazing story Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview A role on the Design Team at Macy’s provides the opportunity to think, dream, and create. We seek designers who are visionaries and leaders. At Macy’s we value original design and create products with intent. If you join Macy’s, you will be supported in a Design community that values innovation and teamwork. The Assistant Textile Designer is beginning their career and in the process of learning the company culture, area, brand aesthetics and principles. What You Will Do • Essential Functions, • Participate in trend and category research inclusive of retail market. Ability to pinpoint cultural, • trends and how this affects the fashion industry. Source inspiration from runway as well as unique outlets (museums, vintage, tradeshows, etc.), • Support team in strategic meetings with recommended print/pattern assortments (Key Resources, Design, Team Management), • Adhere to the seasonal time and action calendar to achieve deadlines and understand priority and workload expectations, • Assist Senior Textile Designer with the design and development of colorway, prints, and fabric simulations (such as wovens, knits, & foils), • Scan and clean up prints to assist vendors on executing to proper number of screens, • Assist with creating proper repeats of patterns, • Create pitches and supply print and color chips for development packages, • Prepare print boards/set-up for presentations and market, • Assist with designs “companion” prints, • Communicate daily with overseas offices to share print/pattern development information., • Regular, dependable attendance & punctuality., • Administrative Tasks, • Maintain & organize the file structure within their brand for both external and internal partners (Sharepoint & PLM), • Processing and saving print studio files, • Minimum, • 4 Year / Bachelor’s Degree, • Bachelor's Degree from a 4-year college or university, • Minimum, • 0 Bachelor's degree in Textile Design or Fine Arts preferred • Experience in Retail or Design Internships preferred, • 0 3 years of direct experience, • Excellent written and verbal communication skills, • Proficiency in MAC operation, MS Office, Excel, Ned, Procreate and Adobe Design programs, • Working knowledge of PLM is a plus, • Strong color sense/print sense and ability to hand paint/illustrate as needed., • Able to speak the print design language to communicate needs clearly., • Ability to view and differentiate the color spectrum., • Ability to prioritize and manage workload with multiple deadlines., • Self starter, can work independently with minimal supervision. Skills You Will Need CAD Design: Proficiency in computer-aided design (CAD) software to create prints, color combinations, stripes, graphics, embellishments, jacquards, and plaids for seasonal collections Trend Research: Ability to conduct research and analysis on current fashion trends, focusing on prints, colorways, embellishments, graphics, and new ornamental treatments to inform design decisions Color Sense/Print Sense: Strong ability to perceive and differentiate colors and prints, essential for creating harmonious and appealing design compositions Graphic Design: Capability to create and manipulate graphics, logos, and other visual elements using design software, ensuring they align with brand aesthetics and marketing objectives Technical Expertise: In-depth knowledge and skills in technical aspects of fabric simulations (wovens, knits, foils), understanding their properties and suitability for different design applications Pattern Development: Proficiency in developing and refining patterns, including proper repeats, to ensure quality and consistency in production Creative Problem-Solving: Ability to creatively approach challenges in design, finding innovative solutions that meet aesthetic and functional requirements Communication Skills: Excellent verbal and written communication skills, including the ability to articulate design concepts and collaborate effectively with cross-functional teams and external partners Organizational Skills: Strong organizational abilities to maintain file structures, manage project timelines, and handle multiple tasks efficiently in a fast-paced environment Adaptability: Capacity to adapt to changing trends, priorities, and project requirements while maintaining high standards of design quality and execution Attention to Detail: Keen attention to detail in all aspects of design, from initial concept development to final execution, ensuring accuracy and alignment with design specifications Relationship Building: Ability to build and maintain positive relationships with vendors, internal stakeholders, and industry contacts to facilitate collaboration and achieve design goals Resilience: Resilience and persistence in facing challenges and setbacks, maintaining motivation and focus to achieve design objectives and meet project deadlines Continuous Learning: Commitment to staying updated on industry trends, new technologies, and design techniques to continuously improve skills and design capabilities What We Can Offer You Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review, • Employee Assistance Program with mental health counseling and legal/financial advice About Us This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. MERCH00 Same Posting Description for Internal and External Candidates

ALL APPLICATIONS MUST BE SUBMITTED THROUGH OUR CAREERS PAGE TO BE CONSIDERED: ___ In just 10 years, by 2030, 50% of school-aged children will be failing or not enrolled in schools. Education is the biggest human rights / civil rights issue of this generation. We believe everyone deserves access to high-quality education and healthcare so that they can build the lives they want to live. *About the Organization: * SmartCourse.io is a NEW high-growth, accelerated, technology-based, social impact startup optimizing education and healthcare for kids with special needs and their caregivers. Caregivers like parents, educators, and health professionals spend too many years and too much money trying to treat kids with special needs or mental health issues. Our products help them to do it in weeks, for a fraction of the cost, using digital products to educate these caregivers on how to best care for and teach kids with special needs so that they can meet their social, behavioral, and academic goals. We also plan to make technologies that optimize individual learning and caregiving for schools/educators, parents, and health professionals (B2B and/or B2G). We also plan to offer our products to large enterprises (e.g. Amazon, Walmart, etc.) to include them as part of their health benefits for their employees with special needs or with family members who have special needs. Ever present is the end in mind: revolutionizing the education and healthcare systems for all kids everywhere since the whole world will soon have access to the internet. We are already on our way to achieving this by working with: • World-leading health professionals (e.g. psychiatrists, psychologists, behavioral therapists, etc.), • Educators (e.g. school admins, special education teachers, etc.), • Startup mentors, advisors, and incubators/accelerators (e.g. Teachable’s EdTech Incubator, Startup Boost’s Pre-Accelerator, Hubspot’s Growth Accelerator, HealthVenture’s HealthTech accelerator, the world's largest EdTech accelerator: StartEd, and YCombinator's Startup School) Our advisers include professors, researchers, EdTech founders, HealthTech founders, product managers, venture capitalists, and investors. • Around 90% of startups fail. Most businesses take 2-5 years to become profitable., • We became profitable in just 1 month. In our 1st year, without spending any money on marketing or engineering, we’ve acquired over 80 thousand users, over 4400 email subscribers, over 400 customers, and over $100k in revenue. Based on our demand and feedback, we know our products are both life-changing and deeply needed. *Duties & Responsibilities: * We are looking for many different kinds of professionals you can see on our careers page: smartcourse.io/careers (Here are some keywords for the algorithm :) Operations Manager, project manager, project coordinator, project assistant, project manager remote, operations supervisor, operations analyst, operations coordinator, operations assistant, operations specialist, operations associate, agile coach, agile project manager, accounting manager, accounting internship, accounting assistant, and/or agile product owner to coordinate and oversee our organization’s operations. The specific duties of an operations manager include project management, operations management, formulating strategy, improving performance, procuring material and resources, and securing compliance. You should be ready to mentor your team members, find ways to increase the quality of customer service, and implement best practices across all levels. Ultimately, we’ll trust you to help us remain compliant, efficient, and profitable during the course of business.) • Take ownership of our team's OKRs & KPIs, and deliver in advance of deadlines with Agile Methodology using Asana, Slack, and GSuite, • Improve our products, satisfaction scores, NPS, & our north star metric (# of products per user) using hard skills explained throughout the application, • Ensure all operations are carried on in an appropriate, cost-effective way, • Improve operational management systems, processes and best practices, • Help the organization’s processes remain legally compliant, • Formulate strategic and operational objectives, • Examine financial data and use them to improve profitability, • Manage budgets and forecasts, • Perform quality controls and monitor production KPIs, • Recruit, train and supervise staff, • Find ways to increase quality of customer service, • Embody our team-wide core values of autonomy, growth mindedness, individual and group empowerment, selflessness, fearlessness, and perseverance, and our team-specific values we'll be looking for throughout your application, • Display exceptional interpersonal, written, and verbal communication skills (proactive communication), • Have a passion for social change, learning, education, healthcare, technology, and/or startups • Able to manage a variety of teams, projects while meeting weekly goals., • Address customer issues and provide value to new and current customers., • Ensure the completion of primary and secondary KPIs., • Proven work experience as operations manager or similar role, • Knowledge of organizational effectiveness and operations management, • Experience budgeting and forecasting, • Familiarity with business and financial principles, • Excellent communication skills, • Leadership ability, • Outstanding organisational skills, • Degree in Business, Operations Management or related field OR equivalent track record *Team-Wide Requirements: * • Must have at least 2 years of professional work experience or equivalent (e.g. research, internships, demonstrated skill), • Have a track record of success in academic and/or professional settings, • Willing to work as an intern or early-stage employee in exchange for a kickass learning experience, commission, bonuses, profit-share, and/or an equity-based payment plan depending on your performance (determined over a 14 to 30 day trial period and discussed on an individual basis.), • For an immediate start, end dates are negotiable throughout the year., • We’re based in NYC, but all positions can be entirely remote, and we’ve had many outstanding colleagues all over the world., • Our work day is from 10AM-6PM ET and we’ll consider candidates with a maximum + or - 6 hours time difference. Daily standups and team meetings are at set times, and you would need to be available for those: At minimum: • 10AM - 11:30AM ET every weekday, • 10AM - 1PM ET on Mondays, • 5PM - 6PM ET on Wednesdays, • 3PM - 6PM ET on Fridays, • Are skilled (or wishes to be) in, team building games, Among Us, Super Smash Bros. Ultimate, and/or a team-building game of your choosing! *Some reasons you might be interested: * • You want to hone your creative media skills, UI/UX design, or full stack web development skills and see how they perform in a business context, • You are looking to start your own company, dive into entrepreneurship, or want a fast-tracked career towards an executive position (e.g. technical co-founder CTO/CPO or COO/CFO), • You want to bring your interests in child development, research, education, or clinical work into a more applied setting and translate it into actions that are directly relevant to families, • You want to collect data from parents, practice data analysis skills, and present findings in relevant settings, • You want to meet and network with leading professionals in the field (educational psychologists, clinical psychologists, educational specialists, etc.), • You want to get involved in the Education Technology and/or Healthcare Technology / MedTech spaces which are growing exponentially, especially for students with special needs, • You’re interested in entrepreneurship, startups, and/or technology and want to put your interests to good use, • You want high-impact work experience to help you grow quickly with leadership development and career support from our serial entrepreneur founder who built and helped build over a dozen 6-figure businesses, one of which was another startup with over $2 million of funding commitment, and all of them launched within less than 1 year *More Opportunities: * We’re recruiting all across the organization so you might be interested in: research, media, content marketing, sales, product management, UI/UX design, full stack web development, recruiting, accounting, legal, project management, agile methodology, just to name a few. We could use help in all departments, so this is a rare opportunity to get in on the ground floor and secure an executive position. Please visit: • Identity Document: ___ ___ be growing very quickly over the next semester. If you might be interested in hearing more about this, we'd appreciate the opportunity to meet you. We have been truly inspired by the interest, alignment, and professional caliber so far. We look forward to hearing from you, Smart Course Team Smart Course | smartcourse.io Job Types: Full-time Associate or Intern, Part-time Associate or Intern, Summer Internship ALL APPLICATIONS MUST BE SUBMITTED THROUGH OUR CAREERS PAGE TO BE CONSIDERED: ___

Job Title: Registered Nurse (Navy Nurse Corps) Category / Component: Officer • Both Overview Navy Nurse Corps officers deliver professional nursing care to service members, families, and global communities in leading edge military medical centers, hospital ships, and operational units, while advancing their education and clinical practice through generous scholarships and specialty training. Key Responsibilities Provide direct patient care in medical surgical, critical care, perioperative, mental health, primary care, and other nursing specialties; assess, plan, implement, and evaluate nursing care for individuals and families; function as a nurse practitioner, nurse anesthetist, or other advanced practice nurse when appropriately trained; lead and supervise nursing teams, manage patient flow and unit operations, and contribute to quality improvement and clinical education initiatives. What to Expect Shift based work in inpatient and outpatient settings with possible on call duties; opportunities for deployment, humanitarian missions, and shipboard assignments; rapid growth in leadership responsibility as you manage teams, coordinate complex care, and take on administrative roles; strong emphasis on continuing education, specialty certifications, and professional development. Work Environment Assignments at Navy and joint medical centers such as Bethesda, Portsmouth, and San Diego; billets aboard hospital ships such as USNS Comfort and USNS Mercy; potential positions on surface ships, with aviation units, and within Fleet Marine Force medical organizations; daily collaboration with physicians, other nurses, Hospital Corpsmen, and allied health professionals. Pathways, Training & Advancement Officer Development School followed by orientation and clinical integration at a Navy medical facility; specialty training and clinical rotations based on billet requirements and experience; career progression opportunities into advanced practice roles, nursing administration, education, research, and staff positions; access to leadership courses and Navy funded graduate education for qualified officers. Entry through programs such as NROTC Nurse Option scholarships, the Nurse Candidate Program for nursing students, direct accession for licensed registered nurses, and Reserve accession for practicing nurses in needed specialties; specific accession paths and incentives vary based on current Navy requirements. Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy. Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter. Additional qualifications for this job may include: Bachelor of Science in Nursing from a CCNE or other nationally accredited program or enrollment in such a program for student pipelines; current and unrestricted registered nurse license or the ability to obtain one within established timelines for new graduates; United States citizenship and ability to meet age, medical, fitness, and security clearance standards for commissioning as a Navy officer. Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities. Specific options depend on the Sailor's status, training, and current Navy policy. Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options. Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance. Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed. Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source. Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community. It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes. Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

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 Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager, you will lead the implementation and validation of evaluation frameworks for assessing both AI systems in clinical and mental health research contexts, and the symptoms of their users. You will own the distillation of clinical definitions into evaluation rubrics, combining applied clinical science with evaluation operations to ensure that rubrics are clinically grounded and operationally scalable. You will work closely with both the clinical and data science teams, ensuring knowledge is effectively operationalized to the satisfaction of both specializations. Supervising a small team of data science and software professionals, you will establish reliability standards, oversee the design of metrics for use in multi-rater evaluation systems, and ensure scientific rigor through quality assurance, versioning, and comprehensive documentation. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Translate clinical symptom evaluations and manualized therapeutic protocols into reliable, consistent, precise, and scorable evaluation criteria., • Design and implement metadata standards and protocols for multi-rater clinical evaluation systems, enabling crowd-sourced ratings from diverse clinical experts., • Set reliability standards and adjudication logic for resolving disagreements among clinical annotators, ensuring consistency across large-scale annotation efforts., • Establish and enforce quality assurance processes, versioning systems, and comprehensive documentation for all evaluation rubrics and measurement frameworks., • Contribute to scientific publications, white papers, and technical documentation of measurement methodologies and validation studies., • Collaborate with clinical leadership to ensure evaluation criteria accurately reflects clinical best practices, safety standards, and clinician feedback., • Supervise and mentor a small team of data analysts and engineers, providing guidance on evaluation methodologies, statistical analysis, and rubric implementation., • Collaborate with other technical project stakeholders, to ensure that technical definitions and requirements of all curated rubrics and resources are being met. You Have: • PhD, PsyD, MD, or equivalent experience in measurement science, psychometrics, biostatistics, clinical psychology, epidemiology, or related field, • 8+ years of applied evaluation experience in clinical research, health outcomes research, or psychometric assessment, • 5+ years of experience with patient evaluation, clinical rating scales, or performance assessment frameworks, • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. Experience can be concurrent with education., • 5+ years of experience with applied statistics, including reliability analysis, classical test theory, item response theory, or factor analysis., • Demonstrated leadership of multi-rater or benchmark systems. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. 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. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. 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 compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). 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.

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full-time role that can be undertaken from one of our US hubs or remotely in the United States. • Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance, • Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists, • Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design, • Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture, • Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent, • 5+ years of experience of Software Engineering, with 1 or more years of developing generative AI products, • Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects, • Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them, • Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value, • Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing, • Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision, • A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field, • A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Location: Remote USA. This role can be performed anywhere from the United States. The Role This Senior Technical Product Manager role will drive development of connected software experiences that integrate seamlessly with our iconic cameras. This role sits at the intersection of hardware and software, focusing on building intuitive, scalable features that enhance how users connect to and interact with GoPro devices across mobile, cloud, and web platforms. You’ll lead cross-functional efforts to define, build, and optimize experiences that power the GoPro ecosystem. From camera connectivity and media transfer to cloud backup and real-time live preview. You’ll contribute to product strategy, define technical requirements, and ensure on-time delivery in a fast-paced, agile environment. The ideal candidate brings a strong technical background, exceptional collaboration skills, and a user-first mindset, with a track record of delivering cross-platform software features that balance performance, usability, and scale. What You Will Do • As a Senior Technical Product Manager, you will collaborate with leadership and cross functional stakeholders across the business to define, design and bring new software experiences to market., • Working within a SAFe Agile framework, develop + own the strategy, roadmap and execution for new image capture devices that unlock compelling new use cases and software markets, across a portfolio of GoPro software products., • Routinely conduct product research and user testing to validate concepts, features, and designs early and often throughout the software development lifecycle, ensuring the quality, usability and authenticity of our products., • Write clear and concise product requirements that define the goals and key performance elements of each feature, and that are digestible by design, engineering and QA teams., • Define and execute technically complex but intuitive features that have measurable impact, both to the GoPro user experience and our subscription business., • Carry products + features from conception and design, through development, launch and iteration cycles., • Launch, learn, analyze data and iterate. Skills We’re Excited About • 5-8 years of proven experience in software/digital media product development or a related technical role, with at least 4 years of product management experience, collaborating closely with hardware and firmware., • BS/MS in Computer Science or equivalent technical experience; leading discussions with senior engineers and architects around technical decisions, priorities, and tradeoffs impacting customers is a key component of the role., • Deep understanding of and practical experience with software development methodologies and distribution of a software ecosystem across mobile, cloud and web platforms., • An effective leader, communicator, presenter + writer who can use these skills to influence stakeholder groups, who may have conflicting priorities., • Fundamentally analytical. You make data driven decisions and use key insights to prioritize your roadmap and influence decision making across the organization., • Experience driving technical product + go-to-market strategy, and design discussions with cross functional groups., • A passion for building new, innovative technologies and software solutions. Bonus Points For • A curiosity about GoPro products and a learning mindset. You like to understand why things work the way they do (or don’t)., • A passion for video capture + editing, action sports, travel or other core GoPro verticals, as well as an understanding of the pain points these users face during these activities., • An ability to understand the bigger picture and how your work plays a critical role in its success. Why Work With Us? Create your own destiny. GoPro enables you and trusts you to get your own job done, because we believe that autonomy in role brings out the best in our employees. Live your best life. We’ve adopted remote and flexible work arrangements to support work at GoPro alongside our commitment to supporting employee wellbeing, belonging and connection with one another. Work with leading edge technologies. We encourage employees to cultivate and use the latest and greatest technology, to provide the best solutions to serve our customers. We celebrate creative solutions that bring innovation to GoPro technology. GoPro Highlights • Get your very own GoPro camera + gear, • Medical, dental, and vision insurance – premiums are 100% paid for employees, 80% paid for dependents, • Life insurance and disability benefits, • Generous time off policy, • 12 weeks paid parental leave for new parents, • Pre-tax and Roth 401(k) options, • Discounted employee stock purchase plan (ESPP), • LiveHealthy monthly wellness reimbursement, • Wellness programs including 1:1 Coaching, 1:1 Therapy sessions, and mental health resources, • Innovative remote-friendly wellness classes and events, • Flexible work arrangements, • Monthly phone and internet reimbursement, • Professional + personal development opportunities, i.e. LinkedIn Learning, technology trainings, certifications, Peer-to-Peer learning, conferences and more, • Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events) GoPro is proud to be an Equal Opportunity Employer. The pay range for this role is between $131,000 - $199,300. Actual pay within the range is dependent on multiple factors, including your residence location and prior work experience. Equity, benefits, and a discretionary bonus may be additional forms of compensation for this role and are not included in the provided pay range. #LI-Remote #LI-EC1

It's a new day with a new opportunity at 8am! About the role: We are seeking an exceptional Senior Product Manager to join 8am’s specialty legal practice management group. In this role, you will leverage artificial intelligence and automation to transform how attorneys in specialized practice areas such as Immigration and Personal Injury manage cases from initial client intake through resolution, delivering greater clarity, organization, and efficiency in their daily work. This is a strategic and hands-on role, ideal for someone who can quickly develop a strong understanding of specialty legal workflows and attorney pain points, even without a legal background, by partnering closely with domain experts and subject matter specialists while leading product strategy, customer discovery, and cross-functional collaboration. As Senior Product Manager, you will drive product strategy for specialty-focused capabilities, including workflow automation, deadline tracking, case management, document handling, and client collaboration tools. You will lead cross-functional teams within an empowered team model, working in a triad partnership with a UX Designer and Tech Lead to deliver solutions that maximize case outcomes while minimizing administrative burden. The ideal candidate is passionate about creating customer value, learns new domains quickly, and has a track record of delivering AI-powered solutions that improve how people work. Experience in legal tech, regulatory environments, or other compliance-heavy industries is a plus; however, a willingness to deeply engage with the specialty legal space and advocate for practitioners is essential. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: • Product Strategy & Leadership, • Develop a deep understanding of the specialty legal practice management market and the needs of attorneys, paralegals, and their clients. This includes research and quantitative data analysis to identify high-value opportunities that increase 8am's competitive advantage., • Lead collaborative discovery with your design and engineering partners to gain a deep understanding of customers' pain points. These may include complex case type management, form preparation and filing, tracking deadlines and expirations, collecting documents from clients, and coordinating with external agencies and parties. You will co-own the identification of problems, shaping of solutions, and delivery of outcomes., • Drive the strategy and vision for initiatives, defining business cases and ROI of automating routine processes, such as document intake, status tracking, deadline management, and client notifications., • Leverage an understanding of bringing AI-powered solutions to market by partnering with the AI infrastructure team to align roadmaps. This includes intelligent intake, document extraction, and workflow automation assistance., • Outcome-Driven Execution, • Drive continuous problem-solving through data analysis, user feedback, and outcome measurement that directly measure customer value and outcomes created, such as case cycle times, document processing time, and client satisfaction., • Lead cross-functional alignment around outcomes, ensuring product success is measured, progress is tracked, and corrective action is taken to reach goals., • Collaborate with Product Operations, Data Intelligence, and Analytics teams to establish proper measurement frameworks and dashboards., • Champion customer empathy while making strategic trade-offs when business and customer priorities conflict., • Cross-Functional Leadership & Influence, • Effectively influence, negotiate, and articulate strategy with stakeholders at all levels to build organizational alignment around your vision., • Collaborate with Product Marketing and GTM teams to develop commercialization strategies that optimize business outcomes and enhance customer value across solo practitioners, boutique firms, and high-volume practices., • Partner with Customer Success and GTM to drive adoption and change management, ensuring customers realize measurable efficiency gains and ROI from automated workflows., • Leverage AI to accelerate discovery, validation, and delivery cycles across the product team., • Understand and influence the 8am product vision and strategy across the organization. About you: • 6-8+ years of product management experience in B2B SaaS environments, with a track record of taking complex products to market, including CRM management, CRM automation, and AI initiatives, in high-growth, scaling organizations., • Demonstrated ability to learn complex domains quickly and become an effective advocate for users in specialized or technical fields. Experience in legal tech, regulatory technology, compliance software, or other industries with complex workflows and regulatory requirements is a plus., • Strong experience in customer discovery methodologies, with demonstrated ability to synthesize qualitative and quantitative insights into actionable product strategies., • Significant hands-on experience in discovering and delivering technology products collaboratively with UX designers and engineers., • Proven experience leading cross-functional initiatives without formal authority, with the ability to influence and align senior stakeholders., • Strategic mindset with the ability to identify, create, and deliver growth initiatives in ambiguous environments., • Business acumen with the ability to build business cases and prioritize customer needs within a business context., • Strong analytical and communication skills. You should be able to develop clear, testable hypotheses and communicate complex strategies clearly to technical and non-technical audiences., • Experience with agile development methodologies and modern product tools (Jira, Confluence, Figma, analytics platforms)., • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation. Preferred Qualifications: • Experience in Legal B2B SaaS or legal technology products., • Deep familiarity with specialty legal practice workflows, including case management, document preparation, compliance requirements, and agency or court interactions. Additional Information The annual salary range for this position is $140,000 to $160,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: • Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees., • Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members., • Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents., • Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching., • Learning and Development: Continuous learning through ___, leadership programs, professional development funds, and individually focused talent development., • Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually)., • Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

As a Senior Product Manager on the Flexible Credentials team, we are looking for you to help drive the next generation of fintech products around Stablecoin payments, and Card Issuing in the embedded finance space. You will own the strategy, execution, and go-to-market for our emerging product lines, working cross-functionally to launch and scale innovative financial solutions. We're looking for a product leader who excels in a fast-paced, high-growth environment and highly collaborative environment between customers and partners. If you are passionate about creating customer-centric, next-gen financial products, and are eager to build from the ground up and beyond, we’d love to chat! The Flexible Credentials team is revolutionizing global embedded finance, enabling seamless integration of financial products into business platforms. We provide instant card issuance, commercialization of flexible credentials technology, and incubate new solutions based on Stablecoin payments, making financial services more accessible and scalable. As builders and innovators, we thrive on making an impact and pushing fintech boundaries. We work ___. This role can be performed remotely in the United States, only in one of our Premium or National locations, which you can review ___. The Impact You’ll Have • Define & Drive Product Strategy – Own the roadmap for our new Stablecoin-based fintech products, aligning business goals with customer needs, • Build & Scale Embedded Finance Solutions – Develop innovative products in card issuance, or Stablecoin payments, collaborating with engineering, design, and data teams, • Execute with Excellence – Work cross-functionally with design, engineering, data science, legal, compliance, and external partners to build, launch, and scale compliant financial products, • Customer & Market Research – Deeply understand customer pain points, new Payments industry trends, and competitive dynamics to shape product decisions, • Prioritize with Data – Leverage analytics, user insights, and industry trends to identify high-impact features, optimizations, and experiments, • Partner with Fintech Ecosystem – Work closely with banks, networks, and fintech partners to drive innovation and enhance our platform’s capabilities Who You Are • 5+ years of product management experience in Cards Issuance, and stablecoin payments, • Proven experience building and scaling financial products from 0 to 1 in a high-growth environment, • Strong technical acumen – ability to work closely with engineering teams and understand API-driven products, • Deep understanding of card issuance, payment processing, Crypto/Stablecoin payments, or banking-as-a-service (BaaS) models, • Ability to thrive in ambiguous, fast-paced environments, balancing strategic vision with execution, • Strong analytical and problem-solving skills, with a data-driven mindset, • Excellent communication and stakeholder management skills – ability to work with both internal teams and external partners Nice-To-Haves • Experience working with legal, compliance, risk, and regulatory frameworks in fintech is a plus, • Hands-on experience in creating Stablecoin based solutions with technology partners. Your Manager Compensation and Benefits Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: • National: A baseline tier that applies to most of the geographic territory of the United States., • Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA, • Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City. Visit ___ or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: • National: $120,600 - $150,700, • Premium: $130,500 - $163,100 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers • Multiple health insurance options, • Flexible time off – take what you need, • Retirement savings program with company contribution and after tax contributions, • Equity in a publicly-traded company and an Employee Stock Purchase Program, • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave, • Free therapy sessions, financial and professional coaching, and legal advice, • Monthly stipend to support our remote work model, • Annual “development dollars” to support our people growth and development, • Through Flex First, the freedom to live and work wherever you and your family thrive About Marqeta Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta’s Values – Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. – Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. – Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. – Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. – Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit ___ with your specific accommodation request. Personal data that is provided as part of the application and recruitment process is processed in accordance with the___. Additional information for California residents can be found ___.

Kanadevia Inova (KVI) is a global market leader in energy from waste (EfW) and renewable gas. KVI acts as an engineering, procurement and construction contractor and project developer, delivering complete turnkey plants and system solutions for thermal and biological EfW recovery. KVI’s Service Group combines its own research and development with comprehensive manufacturing and erection capabilities to support our clients throughout the entire life cycle of their plant. The Manager/Group Leader Site Supervision responsible for leading and coordinating the team of site supervisors to ensure that all on-site activities are executed safely, on schedule, within budget, and in compliance with contractual and QHSE requirements. Acting as both a technical and managerial leader, this role drives operational excellence, risk management, and continuous improvement while fostering strong collaboration between internal teams, subcontractors, and clients. This position will be located in the Tampa, FL area. Leadership & Team Management: · Provide clear direction, guidance, and support to site supervisors, ensuring effective communication of work schedules, safety protocols, and project objectives. · Monitor site supervisor performance, conduct regular reviews, and address issues proactively to maintain high standards of quality and safety. · Promote a positive and motivated team environment, encouraging development and collaboration. · Lead and guide the team by our company Leadership Principles, ensuring full engagement and commitment. Operational Oversight & Service Delivery: · Collaborate closely with Account Managers and project stakeholders to plan and execute site activities aligned with project timelines and budgets. · Oversee progress tracking, manage change requests, and address deviations or claims efficiently. · Provide hands-on support in mechanical or welding tasks when necessary to resolve critical on-site issues. · Ensure smooth coordination of internal teams and subcontractors for optimal resource utilization. Compliance & Collaboration: · Ensure strict adherence to QHSE (Quality, Health, Safety, and Environment) standards, internal policies, and external regulations across all sites. · Review and enforce risk assessments and method statements (RAMS), ensuring all site supervisors implement them effectively. · Maintain clear and proactive communication with internal departments (e.g., HSE, Site Support, Account Management) and external stakeholders, including clients and subcontractors. Key Performance Indicators (KPIs): · On-time project delivery and adherence to budget targets. · High compliance rates with QHSE standards and minimized safety incidents. · Effective resolution of technical and operational challenges on site. · Positive feedback from clients and internal stakeholders on site management and performance. Qualifications & Experiences: · Higher education or technical diploma in Mechanical Engineering, Maintenance, or a related field. · 5+ years of experience in site supervision or field service within large industrial or construction environments. · Proven expertise in contractor management, QHSE compliance, and team leadership. · Comfortable working in a matrix organization. Personal Attributes: · Strong awareness of QHSE (Quality, Health, Safety, and Environment) management system and commitment to safe work practices. · Solution-focused, proactive, and reliable with excellent problem-solving skills. · Outstanding communication and interpersonal skills, able to present ideas clearly and foster collaboration. · Detail-oriented with keen observational skills to identify and escalate issues promptly. · Natural leader with the ability to motivate and coordinate teams effectively. · Willingness to travel extensively (up to 100%) and work on multiple sites as required. This job description is indicative and not exhaustive. The Employee’s duties and responsibilities may evolve according to the Company’s needs, in line with his skills and qualifications. We Offer: • Responsible challenge with diversified field of activity, • Team-oriented working atmosphere in an international Company, • Personal development opportunities through own Inova Academy, • Opportunity to gain an insight into various technical disciplines, • Excellent employment conditions, • Attractive working place (central, good transport links) In accordance with the Americans with Disabilities Act, it is possible that requirements may be modified to reasonably accommodate the physical and mental limitations of an employee or an applicant. However, no accommodations will be made which may pose serious health safety or environmental risks to the employee or others or which impose undue hardships on the organization. Statement regarding Equal Employment Opportunity Equal Opportunity Employer, all applicants will be considered for employment without regard to age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation or status with regard to public assistance. Note: This job description is not intended to fully and completely describe all duties of the position. Other duties not specifically described herein may be required from time-to-time or as required. For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.

Our Why At Dotmatics At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future. We are Science Driven. We are Customer Centric. We are Better Together. What do we need Dotmatics is seeking a Staff Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, Luma fits the way our customers “do science”. It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration. As a Staff Engineer, you will be responsible for driving improvements in reliability, performance, and operability while helping to hire, mentor, and grow a world-class engineering team. You are curious and have some working knowledge of using AI in your everyday work or in your own personal projects, and be motivated to find new ways to use AI in software development. This is a remote position, located in Mass. There will be some travel required to the office in Boston for team meetings and working sessions. In this role you will • Define and drive system architecture for services within a Node.js/TypeScript ecosystem., • Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability., • Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data., • Guarantee the scalability, maintainability, and security of software solutions., • Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence., • Help shape user interfaces that are intuitive and accelerate scientific research., • Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine. We are looking for candidates with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent. You will be curious and inquisitive question the why and how!! The key skills we are looking for • Strong engineering background with Node.js and React., • Proven experience designing and implementing distributed, event-driven systems and high-level web applications., • Experience implementing automated testing platforms, unit tests, and integration tests., • Professional experience with PostgreSQL and building/consuming RESTful APIs., • Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads., • Proficiency with CI/CD tools such as GitHub Actions and AWS CodePipeline., • Knowledge of Agile software development practices. You may also have experience in • Setting technical direction, leading cross-team initiatives, and levelling up other engineers., • Background in complex data pipelines and scaling., • Message-based architectures (e.g., Kafka)., • Deployment technologies like Terraform., • Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers., • Building Windows applications., • Building scalable distributed systems using Kubernetes and other cloud-native technologies., • Experience within Life Sciences or R&D data management. Total Rewards Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications & location. In addition to base salary, Dotmatics has implemented a total rewards strategy, which is the combination of compensation, benefits and recognition. Certain positions are also eligible for variable pay; your recruiter will discuss the full compensation package details. Other Total Rewards Offered • Medical, Dental, Vision, Insurance, • Health Spending Accounts, • Wellness Benefits (Mental Health Apps and Fitness Perks), • Company-paid Life and Disability Insurance, • 401k Retirement Plan (with 4% company match; immediate vesting), • Flexible Time off Plan (for US exempt employees) This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. Starting Base Pay Range $142,445—$163,811 USD Research shows us the___ and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you. By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics ___ explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information. Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

About Lyra Health Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: Lyra Health is looking for a Sr. Customer Success Manager II who is energized by engaging with customers, building relationships, and delivering results. You should be highly organized, detail-oriented, and resourceful. This role will be a great fit for you if you are a doer, who is passionate about making a difference, comfortable with ambiguity, and is naturally collaborative. This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Remote candidates must be physically located within the United States. • Serve as the primary relationship owner for our Major/Key segment employer customers (30,000+ lives), maintaining regular contact with the customers’ benefits team members and other key stakeholders, • Partner with marketing to develop and deliver engaging campaigns and workshops for your customers, • Produce and regularly communicate customer reports, • Collaborate internally with teams such as product, clinical, data science, legal, and others to effectively resolve customer requests and issues, • Contribute to product roadmap planning, providing an important customer and patient voice, and champion new product offerings with your customers, • Leave customers feeling supported and delighted after every interaction, such that they renew with Lyra each year, • 15+ years experience in implementation and/or customer success, ideally in the area of HR / Benefits / Healthcare with employers or other large groups, • Passion for mental health and changing the healthcare landscape, • Excellent communication skills-both verbal and written, with an emphasis on quickly gaining trust, • Ability to innovate and creatively solve problems in a highly collaborative manner, • Strong project management skills and a demonstrated ability to work successfully on cross-functional teams, • Ability to prioritize and balance multiple customers, • Willingness to travel (10%), • Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.

A LITTLE ABOUT US: At Dungarvin, we are more than a provider of support services; we’re a mission-driven team rooted in respect, inclusion, and person-centered care. Since 1976, we’ve been dedicated to enhancing the quality of life for people with intellectual and developmental disabilities, including those with mental health, behavioral, or complex medical needs. Our mission is simple but powerful: respecting and responding to the choices of people in need of supports. This mission guides everything we do; from creating individualized service plans to building strong partnerships with families, teams, and communities. As a Dungarvin employee, you’ll be at the heart of that mission. You’ll help people live meaningful lives on their own terms; supporting their goals, honoring their choices, and empowering their independence. With services nationwide, our team is united by a shared commitment to making a real difference; one person, one voice, one choice at a time. Join our nationwide family and let us help you achieve your unique goals and dreams. WE OFFER: • Compensation: $27.60 to $28.35 Hourly., • Work Environment: Hybrid 1 day in office in Mendota Heights, MN, • Team Culture: Friendly, supportive, and solution-focused; where teammates lift each other up and get things done together., • Work Schedule: Typically, 8 AM –4:30PM CST, with flexibility as needed to meet deadlines or support initiatives across U.S. time zones., • Retirement Plan: 401 K plan with employer match after one year of service., • Time Away: PTO that increases with tenure, PTO donation options, and paid sick leave, • Insurance & Health: Medical, dental, and vision coverage, pet insurance, supplemental insurance options, and flexible spending and health savings accounts (FSA and HSA). Plus, 100% company-paid long-term disability and life insurance., • Employee Perks: National Brand Discounts, Employee Referral Program, Employee Assistance Program and access to Tapcheck (get 50% of your pay before payday), • Job Mobility: Dungarvins multi-state footprint allows internal job mobility nationwide. As a Medicaid Collections Coordinator, you’ll be at the heart of our revenue operations, supporting Minnesota programs across the full revenue cycle. From billing and cash application to accounts receivable follow-up and Medicaid denial resolution, your work ensures accurate revenue reporting, timely collections, and compliance with both payer and state regulations. You’ll play a critical role in monthly close processes, reconciliations, and maintaining the integrity of financial records across multiple systems; including our exciting new Workday platform. WHAT YOU’LL DO • Accounts Receivable & Collections: Run aging reports, research outstanding claims, review remits, apply cash manually, resolve denials, handle rebilling, and assist with appeals to keep collections accurate and timely., • Denials, Payer Research & Revenue Integrity: Analyze payer regulations, determine appropriate actions, escalate risks, manage revenue adjustments, reconcile accounts, support monthly close reporting, and recommend write-offs when necessary., • Collaboration, Communication & Audit Support: Partner closely with Medicaid billing specialists, finance, operations, and external agencies to resolve issues, communicate denial causes and corrective actions, manage high-volume shared inboxes, support audits, and maintain accurate financial records across multiple states. MUST HAVE: • Education: High school diploma or GED required., • Experience: Minimum of 5 years of directly related experience, OR a combination of 2 years of related education and 2 years of relevant experience., • Accounts Receivable & Collections: Experience managing aging reports, cash application, and denial resolution accurately., • Financial Analysis & Reconciliation: Skilled in identifying discrepancies, preparing journal entries, and reconciling accounts., • Microsoft 365 & Excel Expertise: Proficient in Excel, Word, PowerPoint, Outlook, Teams, and SharePoint. Able to manage data, run reports, use pivot tables and formulas, and leverage these tools to track collections, analyze accounts, and collaborate effectively., • Accounting & Financial Systems Expertise: Proficient in Microsoft Great Plains (Dynamics GP), Microsoft Dynamics 365, Sage, PeachTree and Workday., • State Portals & Billing Systems: Experienced with Therap, Minutes, OnBase, and Workday, efficiently navigating multiple patient accounting and billing systems., • Additional Financial Tools: Knowledge of My Money, E Guardianship, RMF, or similar financial management and tracking platforms., • Healthcare & Compliance Experience: Knowledge of healthcare, human services, or Medicaid/Medicare operations, including regulatory, payer, and state compliance requirements. SKILLS CRITICAL FOR SUCCESS: • Tech-Savvy & Efficiency Minded: Uses Microsoft 365, rules, and automation to streamline workflows, manage inboxes, and analyze data; working smarter, not harder., • Attention to Detail & Accuracy: Ensures precision in aging reports, remits, cash applications, and collections to protect revenue and maintain compliance., • Time Management & Prioritization: Juggles multiple claims, denials, and deadlines while keeping work organized and high-quality., • Analytical Thinking & Problem Solving: Interprets complex payer rules, identifies discrepancies, and determines the best collection strategies., • Communication & Collaboration: Provides clear updates and works seamlessly with teammates, leadership, and external partners., • Professionalism & Adaptability: Maintains a positive, solution-focused attitude in a fast-paced, regulated, mission-driven environment., • Process & Compliance Focused: Streamlines billing, collections, and reporting while supporting audits, Medicaid, and regulatory requirements., • Team-Oriented Mindset: Supports, mentors, and collaborates with colleagues to achieve shared success., • Stress Resilience & Composure: Stays calm and focused under pressure, managing high-volume workloads, tight deadlines, and complex financial issues without compromising accuracy or professionalism. WHY YOU’LL LOVE THIS ROLE: • Join a collaborative, supportive team led by a hands-on supervisor who champions your growth and development., • Make a real impact managing multi-state Medicaid billing, denial resolution, and revenue operations; now evolving with Workday. At Dungarvin, diversity and inclusion are a part of what makes our organization strong. Together, we can continue to work towards an inclusive culture that supports our employees and persons served. Compass, Cambrian, and Dungarvin are affirmative action and equal opportunity employers. The deadline for internal applications is set for two weeks from the date of the job posting. #LI-MM1 #LI-Remote #DDIJ 2/27

Position Overview This Software Engineer position will be part of a strong team providing software engineering support to design, develop, operate and maintain software programs across multiple platforms, technologies and business units. Software engineering support also includes the assessment, maintenance, documentation, modernization, testing, and implementation functions. Responsibilities will include the production of new systems and web applications, as well as support of legacy systems. Major Activities (Typical Duties/Responsibilities) • Develop and maintain .NET systems., • Develop and maintain ColdFusion systems., • Develop technical documentation., • Analyze and monitor existing systems to provide recommendations for improvement., • Design SQL and Oracle databases and work closely with database administrators to implement them into production environments., • Understand and follow modern agile Software Development Lifecycle processes & procedures., • Work with and follow best practices in a Development, Security, and Operations (DevSecOps) environment, in close collaboration with Infrastructure and Cybersecurity colleagues., • Work closely with customers, project managers, and other developers to understand the user’s needs and deliver effective solutions., • Design and develop test cases., • Troubleshoot software production issues., • Assist with requirements gathering projects on enterprise-wide solutions., • Assist with work scope estimates., • Provide recommendations for continuous improvements., • The software engineer will work with other project software engineers, interface with project managers, and meet with customer subject matter experts as needed. Knowledge/Skills/Abilities • Good interpersonal skills: ability to work effectively and cooperatively with all levels of management and staff, affiliated-company employees as well as outside business associates; exhibits a professional manner in dealing with others., • Superior organizational, follow-up, and detail-oriented skills., • Strong ability to analyze documents and categorize appropriately., • Ability to maintain accurate records., • Work independently, as well as on a team and with minimal supervision., • Make decisions, solve problems, and exercise excellent judgment., • Work well under pressure and independently prioritize workload, while working on multiple projects., • Ability to research, organize and analyze technical information with particular attention to accuracy and detail., • Excellent written and verbal communication skills; including thorough knowledge of proper grammar, advanced vocabulary, spelling, editing and proofreading skills., • Proficient using Microsoft Office products, such as Word, Excel and PowerPoint, and industry-standard computer software and databases., • High degree of sensitivity regarding confidential information. Physical Abilities • Sufficient fine motor skills for the use of computers, calculators with an ability to withstand repetitive keyboarding for extended periods of time., • Visual and communications ability adequate to perform the essential functions of the job., • Ability to kneel, bend and twist at the waist on an occasional basis., • Ability to reach below shoulder height with regular frequency (desk position) and at or above shoulder height on occasion., • Ability to push, pull, carry and lift objects weighing up to 10 pounds on a regular basis, and greater weights on an occasional basis., • Ability to travel by vehicle or aircraft, and ability to safely operate a motor vehicle. Minimum Qualifications • Bachelor's Degree in Computer Science, Mathematics, Computer Information Systems, Management Information Systems, Business or related field and five years of IT experience or equivalent combination of education and experience., • Must pass pre-employment background check and drug screening., • Must be able to provide REAL ID ACT compliant documentation at time of hire., • Must be able to obtain Department of Energy access badge., • Ability to obtain and maintain a U.S. government security clearance (which requires U.S. Citizenship). Preferred Qualifications • Demonstrated expert-level proficiency in .NET and C#., • Demonstrated expert-level proficiency in Microsoft SQL Server., • Hands-on experience working with jQuery in modern web applications., • Practical experience using Azure DevOps for source control, CI/CD, and work management., • Practical experience in an Agile environment. Pay Range: $99,873.00-$164,534.00/ yearly Benefits: OSC Technical Solutions offers excellent benefits for eligible employees. Benefits include paid holidays, paid time off, 401k with employer match, dental, vision, health insurance plans through the Federal Employee Health Benefits (FEHB) program, as well as life and disability benefits. OSC Technical Solutions does not discriminate, and the company provides equal employment opportunity for all employees and applicants without regard to race, religion, color, sex, gender, sexual orientation, national origin, citizenship status, age, marital status, pregnancy or parenthood, handicap or disability, genetics, veteran status or any other legally protected characteristic. OSC Technical Solutions adheres to all federal, state and local laws regarding equal employment opportunity and will not discriminate against you in violation of these laws. OSC Technical Solutions reserves the right to apply CIRI Shareholder preference to qualified Shareholders in employment and advancement opportunities. OSC Technical Solutions participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Reasonable Accommodation: OSC Technical Solutions will provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with OSC Global, LLC or any of its subsidiaries, please email ___. Important Employment Notice: Federal Contract & RCW 49.44.240: Due to our status as a federal contractor operating within the State of Washington, all applicants and employees must adhere to federal law, which classifies cannabis as a Schedule I controlled substance. While Washington State’s RCW 49.44.240 (which generally prohibits employers from discriminating against an applicant based on their lawful use of cannabis off-site and during working hours) is state law, it does not supersede federal requirements. Zero-Tolerance Policy and Disqualification • Prohibition: The use, possession, or distribution of cannabis is strictly prohibited for all employees, regardless of state law., • Testing: Applicants will be subject to pre-employment drug screening that includes testing for cannabis., • Disqualification: A positive test result for cannabis will result in immediate disqualification from consideration for employment, as mandated by our federal contract obligations. All applicants must be able to comply with all federal regulations, including those concerning controlled substances, as a condition of employment.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. We are looking for a Director of Design to lead the experience for our content ecosystem including community builders, our users, and our developers. You will nurture Reddit into a unique, thriving ecosystem of conversations that brings human experiences to life across any topic you can imagine, and cultivate belonging for users. You’ll work across three different areas, including our moderator-facing products, our user profile features for various user types, and our developer platform. As a Director of Design, you will not only define a cohesive strategy across the Reddit consumer experience but also serve as a key pillar of the Reddit UX organization. You will be responsible for looking around the corners to forecast critical user needs and business needs, acting as a creative innovator and change driver to deliver significantly positive impact. Responsibilities: • Strategic Leadership: Create and drive end-to-end UX strategy that aligns with Reddit’s brand identity and mission., • Organizational Design & Scaling: Lead and manage a high-performing team of designers, including sr manager., • Cross-Functional (XFN) Impact: Drive org-wide initiatives with significant product enhancements for users and Reddit, partnering deeply with Engineering, Product, and Research., • Operational Excellence: Own the quality of the user experience and the efficiency of the design organization by enhancing design systems and high-impact delivery workflows., • Executive Influence: Effectively communicate and influence at all levels across different functions, including senior executives, to champion user-centric solutions, • Change Management: Exhibit a "Reddit-first" attitude, showing the ability to quickly change course or pivot functions to support rapidly changing business priorities., • Mentorship & Growth: Foster a culture of "Great Performing Snoos" by developing talent and building high-performing teams that embody Reddit’s leadership principles. Qualifications: • 13+ years of relevant design experience., • Minimum 5+ years of previous experience managing a team(s) of 15+ designers, • A world-class portfolio demonstrating design strategy and systems for consumer-facing products at scale., • Proven experience driving company-wide strategic initiatives and XFN roadmapping with significant business impact., • Ability to build solutions from first principles in ambiguous situations and elevate the performance of the entire Leadership Team., • A strong sense of user empathy., • Humble, driven, and motivated to ship the best product. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $245,800 - $344,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our ___. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About us At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe. The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart. Our values Win as One. Delight Customers. Deliver Great Outcomes. About the role The primary purpose of the Field Customer Success Manager position is to build and maintain strong relationships with our most strategic customers. Customer Success Managers (CSMs) learn their customer’s business goals and help them achieve those goals through the use of Auctane products and services. CSMs look for opportunities to make a customer's account as efficient as possible, as well as look for potential areas of monetization. Responsibilities include maintaining a strong knowledge of ShipStation and E-Commerce, specifically in regard to carrier choice and understanding what services yield the highest return in company monetization. Field CSMs perform these functions while embedded in the market they serve which allows them to meet with their customer face to face as often as needed. Being based in the market they serve better enables them to build strong trust and prevent customer and revenue churn. This position is remote and is based in Pittsburgh, PA or Greensboro, North Carolina or Raleigh, North Carolina. Travel Requirements: Spend 3-4 days per week physically with customers at their shipping locations Travel to Auctane’s home office or other training/meeting locations within the US 2-4 times per year Sales Perks: • 🌴 Fully Paid Annual International President's Club Trip (Auctane Employee Plus One), • 🌐 Exciting and Motivating Annual Global Revenue Kick Off Week at HQ in Austin, TX, • 💰Competitive Compensation Packages Salary Range for CO applicants is: $100K base + $24K variable commission. About the team The Customer Success department's purpose is to to build and maintain strong relationships with our most strategic and highest revenue producing customers. The team provides customers with exceptional service and technical expertise in shipping, logistics, software and hardware. The department drives retention, increases merchant shipments by saving them time and money, and helps the business to grow profitable revenue by recommending and implementing Auctane products and services. What will you be doing? • Researches and analyzes current accounts for signs of efficiency and potential for monetization, • SalesForce, Looker, MGMT, • In-depth understanding of ShipStation Applications and E-Commerce markets., • Read and interpret documentation and use critical thinking to resolve issues and communicate functionality of the application to users., • Initiates escalations for cases that need more extensive troubleshooting, code changes, or other developer support utilizing a standard escalation process., • Ability to use programs like Jira, ZenDesk., • Knowledge of ShipStation’s new and existing features and integrations through release notes, documentation, and training., • Ability to research individually using resources and draw conclusions using critical thinking., • Ability to write clear and concise notes with appropriate detail following the escalation procedures., • Get in contact and meet with customers to inform them of potential savings and changes in their account that will benefit their process as well as what they are spending with their carriers., • Ability to use programs like Looker, SalesForce, and MGMT, • Knowledge of ShipStation’s new and existing features and integrations through release notes, documentation, and training., • Ability to recognize deficiencies within accounts in terms of process and workflow., • Knowledge of best practices in shipping given the customer’s selling vertical., • Knowledge of carriers and the shipping industry of the current day., • Ability to communicate complex carrier information in a way that is consumable to the customer., • Communicates trending questions, issues, and product suggestions internally, clearly and concisely., • In-depth knowledge of ShipStation, • Ability to clearly explain and define issues and expectations., • Collaborates with other departments to ensure the customer experience is seamless., • Ability to clearly explain and define issues and expectations, with all necessary details., • Assist ShipStation support staff with resolving escalated customer conversations, • Work with ShipStation support agents on tactics to help de-escalate volatile customer conversations., • Meet with customers to analyze their account for deficiencies in workflow, automation, and carrier spend, as well as look for monetization opportunities., • Travel to customer locations and provide in-person guidance and partnership, • Deliver Business Reviews and other value added materials (Carrier Cost Analysis Reports, Feature launch materials, etc) to customer in person at their business/shipping locations, • In the event of major platform issues or any kind of business interruption, join the customer in person at their location, triage the issue in real time, and demonstrate our commitment to resolution What are we looking for? • Four or more (4+) year’s of account management and/or customer service experience, • Proven experience managing 15-30 enterprise customers OR 30-50 enterprise and SMB customers, • Has experience doing quarterly in-person customer visits, • Experience with B2B or SaaS software preferred, • High School Diploma or G.E.D required, • Based locally in the Pittsburgh, Greensboro or Raleigh market. Field CSMs perform these functions while embedded in the market they serve which allows them to meet with their customer face to face as often as needed. Being based in the market they serve better enables them to build strong trust and prevent customer and revenue churn. The Tech • Salesforce, • Zoom, • Zendesk, • JIRA, • Slack, • G Suite, • Looker What do we offer? • 🛬Take the reins of your time off with our Flex Time Off policy – because work-life balance should always be in your hands!, • 🌅 We offer 12 paid holidays for all of our US employees!, • 💰401k employer matching program – because your future deserves a friendly boost!, • ⭐️We conduct annual merit reviews to recognize and reward your hard work and achievements., • 🏐 Health and Wellness: The well-being of our team is super important to us. Choose from different options that include medical, dental, and vision plans., • 🧠Employee Assistance Program. We offer up to 8 free mental health sessions., • 💪🏽We offer gym discounts to help you stay fit and healthy!, • 📚We offer education reimbursement to all employees, ensuring that you can pursue your educational goals while excelling in your career with us. Invest in your future and let us support your growth every step of the way., • 🔗 Employee Referral Program! We reward employees helping us find top talent!, • 💜 An inclusive and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive., • 🏢 Attractive HQ in the heart of central Austin, Texas. Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.) • Sit for prolonged periods of time, • Utilize wrist and hands for a prolonged period of time, • Walk short distances, • Stand for short periods, • Speaking and conversing with others, • Lift up to 25lbs without assistance up to chest height Equal Opportunity Employer/Veterans/Disabled If you are based in California, we encourage you to read this important information about the ShipStation Privacy Policy for California residents___

Marqeta is hiring for a Group Product Manager – Fraud role to join the Risk, Fraud and Disputes Team. As a Senior Product Leader, you will own the entire Real Time Decisioning product suite and 3D Secure authentication solutions. You will be in charge of challenging the status quo and creating a revolutionary suite of fraud management and authentication products at Marqeta. You will strike the right balance between stopping fraud, enhancing security, and protecting legitimate transactions — all while minimizing customer friction. You will be an experienced AI leader with a deep understanding of AI, fraud product development, and modern authentication protocols. You will partner with a diverse set of teams including engineering, data scientists, risk operations, legal, GTM and marketing. We work ___. This role can be performed remotely in the United States, only in one of our Premium or National locations, which you can review ___. The Impact You’ll Have • Define and execute a clear, actionable strategy that aligns with the company's overall growth objectives, • Lead and inspire others with a compelling product vision and roadmap, driving alignment and seeking consensus among leadership, peers, and teams, • Deeply understand fraud, risk, and authentication ecosystems to identify the impact of initiatives or features across the platform. This includes understanding the competitive landscape, AI-based fraud tools, rules-based fraud engines, EMV 3DS specifications, issuer and merchant requirements, and strong customer authentication (SCA) requirements — particularly for regulatory compliance like PSD2 in Europe, • Develop AI-powered products and frictionless authentication solutions that directly address customer pain points, balance security with user experience, and drive business outcomes. Work cross-functionally to ensure optimal implementation and customer success, • Own the complete P&L for your suite of products and drive the adoption and optimization of Real Time Decisioning and 3D Secure solutions — balancing fraud prevention, authentication approval rates, customer experience metrics, regulatory compliance, and financial outcomes, • Collaborate across customer-facing and technical teams to collect inputs for prioritization of features, including value, effort, usability, and priority, • Create well-defined Product Requirement Documents focusing on customer and business value and defining metrics to quantify success, • Act as technical advisor to educate and evangelize features with customers via meetings, presentations, and other forums, • Collaborate with go-to-market partners to develop product collateral, presentations, trainings, and other tools to bring products to customers and prospects, • Leverage hands-on AI and prototyping skills to rapidly validate product concepts, build proof-of-concept models, and accelerate the path from idea to production, • Stay current on the latest AI/ML research, foundation models, and tooling — and proactively identify opportunities to embed AI capabilities across the Risk Decisioning and 3D Secure product suites Who You Are • 10+ years in product management roles designing and delivering fraud, risk, and/or authentication solutions that have delighted customers and driven business growth, • Proven track record of setting vision and strategy for a portfolio of products and translating it into a roadmap with rigorous end-to-end execution, • Experience recruiting and growing top talent and building high-performing teams, with strong EQ and leadership skills, • Passion for AI, demonstrated through hands-on building, prototyping, or side projects, and a habit of staying current on the latest research, models, and tools, • Fluency with modern prototyping tools (e.g., Cursor, Replit, Claude Code) and the ability to use them to rapidly explore and validate product ideas, • Strong written and verbal communication skills with a talent for precise articulation of customer problems for both technical and business audiences, • "Roll up your sleeves" mentality to make your products and team successful, seeking root causes, assigning ownership, and driving accountability to get things done Nice-To-Haves • Strong understanding of the payment industry ecosystem: card brand regulations, ISO 8583, EMV, and digital wallets, • Deep knowledge of 3D Secure protocols (especially EMV 3DS 2.x), card network authentication programs, and regulatory requirements like PSD2's Strong Customer Authentication (SCA) mandates, • Knowledge of biometric authentication methods, tokenization, and modern identity verification techniques, • Experience applying machine learning or AI models in production fraud or authentication systems Compensation and Benefits Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: • National: A baseline tier that applies to most of the geographic territory of the United States., • Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA, • Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City. Visit ___ or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: • National: $174,700 - $218,400, • Premium: $189,000 - $236,300 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers • Multiple health insurance options, • Flexible time off – take what you need, • Retirement savings program with company contribution and after tax contributions, • Equity in a publicly-traded company and an Employee Stock Purchase Program, • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave, • Free therapy sessions, financial and professional coaching, and legal advice, • Monthly stipend to support our remote work model, • Annual “development dollars” to support our people growth and development, • Through Flex First, the freedom to live and work wherever you and your family thrive About Marqeta Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta’s Values – Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. – Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. – Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. – Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. – Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit ___ with your specific accommodation request. Personal data that is provided as part of the application and recruitment process is processed in accordance with the___. Additional information for California residents can be found ___.

Ideal start timeline: ASAP Role status: Exempt Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus Program with eligibility for $12,000 bonus. Actual compensation will be commensurate with experience and skills. Campminder's Flexible Working Location: Our employees have the option to work 100% remotely within the United States or their choice of days at home and at our office in Boulder, Colorado. We host a variety of all-company hybrid meetings and social events. We require anybody working remotely to have a very reliable, high-speed internet connection. We know the best people can choose to work anywhere. Here's a few reasons why 85+ of them choose Campminder: • With 20+ years experience of serving the industry through its digital transformation, we're stable, profitable, and have developed a loyal customer base (that continues to grow)., • We build software for summer camps, an industry that enables meaningful experiences for kids., • We work on interesting, ambitious projects that create real value for our clients., • We know our team members feel their work has an impact on the organization's purpose., • At the same time, we are genuinely committed to work/life balance. Our team members feel they have the flexibility to take time off when needed and feel supported in making use of flexible working arrangements., • We invest in emerging technology and cutting-edge leadership and are proud to take an "AI-Enabled" approach in our solutions., • We've been listed on Outside Magazine's 50 Best Places to Work for 8 consecutive years for our values-led culture and employee experience. This role's mission & overview: We are looking for a Senior Software Engineer to join our Delta team, which is dedicated to improving, enhancing, and modernizing Campminder's core product. Delta brings the latest technologies into our legacy platform, shipping real product value to customers while progressively replacing aging code with modern solutions. You'll work across a large C#/.NET monolith and modern TypeScript/React services, building modern product experiences that integrate seamlessly into the existing platform. Delta is where modernization meets delivery. You'll own product-facing features end-to-end, while raising the quality, security, and developer experience of the codebase along the way. You'll also be using AI-native engineering workflows (Claude Code, agent-driven development playbooks) to accelerate how quickly and confidently the team ships value to customers. This role is for someone who loves improving experiences for users and developers alike and thrives at the intersection of legacy modernization and new feature delivery. As a Senior Software Engineer on our Delta team, you will: • Lead the Delta team in devising new and creative strategies to allow us to quickly modernize the product while delivering new value to customers rapidly, • Partner with product to run rapid experiments and incorporate customer feedback quickly, • Modernize legacy pages and workflows by introducing web components, React applications, and modern CSS into the existing platform, progressively upgrading the system, • Build and maintain shared packages and reusable UI components across the CoreJS monorepo, ensuring consistency across applications, • Partner with other engineering teams to integrate Auth0 authentication, modern navigation components, and shared services across the platform, • Collaborate with product, engineering management, and architects to define right-sized scope that maximizes customer impact while minimizing engineering investment, • Champion AI-native engineering workflows (Claude Code, AI-assisted code review) to accelerate feature delivery and improve code quality across the team, • Mentor engineers on and off the Delta team, championing best practices in automated testing, code quality, and progressive modernization strategies We think a successful candidate will bring: • Experience leading the design and implementation of major features and platform improvements in collaboration with multiple engineers and teams, • Strong cross-functional collaboration skills and a track record of partnering with product on rapid experimentation and customer feedback loops, • Experience modernizing legacy systems while balancing impactful, incremental improvements with maintaining a high quality customer experience, • Strong full-stack skills spanning C#/.NET on the backend and TypeScript/React on the frontend; comfortable working across both a legacy monolith and modern greenfield applications, • Experience with modern frontend tooling, shared component patterns, and testing frameworks, • Strong track record of architecting scalable, reliable systems and making forward-thinking technical trade-offs, • Experience identifying meaningful ways to use AI tools (e.g., Claude Code, Copilot, or similar) to increase engineering speed and quality, and enthusiasm for adopting AI-native workflows to ship customer value faster, • Passion for mentoring others and rolling out engineering best practices across teams, • Excels at taking large, undefined problems and turning them into concrete next steps for themselves and others to tackle Our Interview Process: • 45 min – interview with People & Culture, • 60 min – interview with Hiring Manager, • Phase 3, • 60 min – coding interview with Engineering team members, • 60 min – architecture interview with Engineering team members, • 30 min – culture interview with CTO A few of the benefits we are proud to offer: • Robust medical, dental, and vision coverage options with generous employer contributions, plus a $500 employer HSA contribution for HSA-compatible plans, • Ability to choose where you work – remotely, in the office, or a mix!, • A variety of resources to support mental health and emotional well-being, • 12 weeks of 100% paid parental leave for all new parents, including via adoption, surrogacy, and foster care, • 401(k) with 4% company matching, • Trust-Based (flexible) PTO (and yes, we use it!), • $900/year wellness allowance, • Company-paid subscriptions, training, and support for using AI professionally and personally. We have a team dedicated to enabling our AI capabilities for our team members and our customers! We encourage people of all backgrounds to apply: We're actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all, including people of color, people from working-class backgrounds, women, and members of the LGBTQ+ community. We welcome and encourage applications from people with these identities or members of other historically marginalized groups. Research shows that women and people of color tend not to apply to jobs unless they believe they are 100% qualified and apply to fewer senior-level positions. With that in mind, we encourage you to apply if you're not sure whether you meet our qualifications. We'd love to have the opportunity to consider you! We encourage applications from parents, parents-to-be, and those responsible for the caretaking of others. We offer paid parental leave for birthing and non-birthing parents (including for adoption, surrogacy, and foster care placement) and paid loss leave to recover from miscarriage or stillbirth. The company's HSA and wellness allowance contributions may be used toward childcare, eldercare, adoption fees, and fertility treatments like IVF, among other expenses.

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.

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.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's 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 the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Senior Staff Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$288,000—$360,000 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.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy 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 GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's 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.

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.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems 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.

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

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

SSI (U.S.) Inc. d/b/a Spencer Stuart Spencer Stuart is an equal opportunity and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Location: New York Full/Part Time: Full time Req ID: R4658 Associate Role Spencer Stuart is seeking to recruit an Associate for the Private Equity team focused on executive search and pre-deal offerings for private equity firms and their portfolio companies. With exposure to a broad set of clients and leadership challenges, this Associate will help to identify and develop diverse candidate slates as an essential member of the project team, with a focus on the Industrials sector, with an ideal focus on manufacturing, engineering, process industries, energy, and/or automotives. The Associate role combines research, assessment, validation, project management, and relationship-building skills to deliver extraordinary service and value to Spencer Stuart clients. Successful candidates will have a proven track record of being driven, graceful under pressure, resilient, and demonstrating strong project management ability, commitment to excellence, writing skills, results orientation, rigorous attention to details, intellectual curiosity and ideally, an understanding of the private equity operating model. The Associate will enjoy the challenge of working internally with a variety of Consultants and externally with diverse, senior-level executives and board members. The Associate will ideally be based in New York City, though exceptional candidates based in D.C., Philadelphia, or Boston will also be considered. There is an expectation of being in the office a minimum of two days a week. In the early stages, it will be beneficial for the individual to spend more time in the office to build relationships, engage with colleagues and participate in the local office community. Key Relationships Reports to: • Private Equity Practice Leader, • Private Equity Team industrials Consultant Lead (on a project basis) Other key relationships: • PE Practice Manager, • HRBPs, • Market Leader, • Analysts, Associates, Senior Associates, and Consultants, EEA's, • Associate Practice Leader Key Responsibilities • Contribute actively to the start-up phase of each pre-deal engagement, participating in client kick-off meetings with the Consultant and assisting in the development of internal teams and work flows to meaningfully and swiftly address client needs and critical dilligence activities., • Gather relevant information regarding the appropriate industries and target companies. Identify potential prospects and sources and represent the client effectively in the marketplace, discussing the opportunity with relevant executives and providing high-end, bespoke support when facilitating executive introductions, management insights, or other search activities., • Partner with Consultants to develop and present our relationship access and insights. Anticipate what needs might drive investment decisions and actively work to create deal angles and to supply additional information, such as related industry/segment trends, market findings, customer feedback, supplier issues, or other items of distinct value as it pertains to management teams and specific executives., • Contribute to the preparation of position specifications, candidate presentations and reference reports adhering to the Firm's assessment methodology and leadership frameworks., • Communicate effectively with Consultants, and EEAs, Analysts, Associates, or client success colleagues affiliated with a client. Given the holistic nature of relationship management, and the body of human capital consulting required over the life of an asset or portfolio of assets, the Associate will need to remain fully abreast of all developments, in order to communicate accurately and credibly, as part of the glue that binds these activities together., • Work with each project team to prepare organized information for candidate reports, and client update meetings, giving an informed perspective on work to date, and how they match and align to the value creation efforts of our clients., • Be aware of market activities and management changes in the relevant industry's sector; keep team members apprised of relevant developments that could inform search strategies and client insights., • Add to the firm's candidate pool expertise by continually identifying and introducing new talent to the firm. Ensure that up to date assignment, company and candidate information during the course of an assignment is always available for colleagues, by leveraging technology and information from the firm's state-of-the-art, proprietary database., • Contribute to responses to inquiries for new business, as well as business development initiatives, inclusive of reactive RFPs in partnership with Analysts and GTM teams, or proactive business development planning within the sector of interest, • Be willing and proactive about contributing to local, practice or firm-wide initiatives. Coordinate and share practice related information with colleagues for potentially broader distribution., • Contribute to broader Private Equity Business initiatives, such as learning loops, intellectual capital pieces, solution refinement, and the development of junior members on the team (e.g., Analysts). Ideal Experience • 4+ years of experience, ideally from a professional services environment serving private equity clients through the lens of human capital solutions. Other relevant client-service organizations will also be considered, including executive search, strategy consulting, or networking services, in addition to in-house human capital roles (i.e., serving the human capital or value creation team of a private equity firm), • Advancement of skills and knowledge evidenced through promotion or tenure., • Interest or experience in the Industrials industry., • Superior project management skills demonstrated through experience working in a high-performance. environment where multiple projects and competing demands are the norm., • Excellent communication skills shown through clear, structured and concise presentation., • Undergraduate degree required, postgraduate degree a plus. The base compensation range for this position is $100-130k per year. The actual base compensation offered within this range will be dependent on the individual's skills, experiences, and qualifications. This position will be eligible to participate in our annual discretionary bonus program. Spencer Stuart also offers a competitive benefits package, which includes: • Retirement savings plan with discretionary profit sharing contribution and employer match;, • PTO (minimum 15 days per year, increases with tenure), paid sick time (10 days per year), company holidays (12 days per year), and paid leaves of absence when applicable;, • Comprehensive health benefits, including medical, dental, and vision insurance, and healthcare flexible spending account;, • Life Insurance, and short-term and long-term disability insurance;, • Wellness benefits, including an employee assistance program, virtual mental health program, and mindfulness program; and, • Voluntary benefit options, including supplemental life insurance, identity theft protection, and whole life insurance with long-term care and critical illness coverage. Compensation and benefits are commensurate with other high-end professional services firms. Critical Capabilities for Success Project Management Plans, manages and drives efforts to support client needs and deliverables, while directing, influencing and coaching Analysts and peers aligned to the same mission. Successful Associates will do this while handling multiple projects with competing deadlines, working with individuals who have differing styles, and managing challenging expectations. • Takes an end-to-end view of each project and the required resources; works at pace and with attention to detail while managing competing deadlines and priorities; has a sense of urgency., • Works on multiple projects; meets deadlines and is resilient under pressure; delivers on commitments on time or notifies as early as possible if deadlines will slip., • Demonstrates enthusiasm, tenacity, and intellectual curiosity; action-oriented; deals with problems immediately, be it with colleagues or clients directly., • Is results focused and flexible; demonstrates a strong work ethic and commitment to team. Candidate Development and Human Capital Consulting A successful Associate will develop excellence in search strategy to build strong contact management lists, cultivate sources and prospects, and will understand how to effectively leverage and enhance Spencer Stuart's relationships in the marketplace. • Observes and asks questions to fully understand the issue; synthesizes information from a variety of internal/external sources, despite possibly having ambiguous or incomplete information., • Gathers relevant data from a variety of sources, including views gathered through Third Party Sourcing (TPS), and forensic referencing, to help determine broad capabilities, gaps, qualifications/fit; and to articulate other elements of information that inform value creation plans and corresponding talent agendas., • Adds meaningful notes on Quest, diligently uses the initial assessment feature, and works proactively with consultants and clients to link talent agenda items and insights with diligence and post-close planning efforts. Credibility and Influence Communicates effectively both in writing and verbally; has "gravitas" (executive presence) and maturity, and is able to build relationships. Able to hook candidates and appropriately align client and consultant expectations and needs with market opportunity and progress, building a strong internal and external brand: • Interacts with a range of internal and external stakeholders and candidates/clients with differing styles and egos, understanding and appreciating what is important to each., • Becomes a credible and authentic professional by observing colleagues and emulating role models., • Adapts verbal and written communications according to expectations for role and audience, specifically how to be confident, succinct, concise, prepared and professional. Market and Candidate Knowledge Obtains and incorporates knowledge to enhance client work in a meaningful way. Knows how to get information, effectively uses the available firm resources, developing and sharing candidate pool knowledge: • Identifies executive movements in the market and updates Quest (ideally in real time) and colleagues; asks questions and shows interest in networking., • Has a genuine interest in/curiosity about people and businesses; and has an understanding of businesses and their interrelationships, in particular the driving forces behind deal flow and deal activity, actively building a personal awareness and team knowledge around the marketplace and the ecosystem of critical influencers and key agents., • Understands how to identify and navigate the various relevant sources available (Quest, Passport, Global Information Services, Hoovers, LinkedIn, etc.), as well as key people, leveraging both internal and external content and networks to drive distinct and unique insights and outcomes. Developing self and others Develops self and others; seeks and provides feedback, modifies own performance or behavior based on feedback. A successful Associate is constantly growing, learning and enhancing his/her skills and capabilities: • Seeks and is open to feedback from colleagues, placing value on self development efforts; seeks opportunities for growth., • Is self-aware and open to changing one's own behavior., • Understands the importnace of both managing up and down. Firm Values Champions the Firm's values, culture and Code of Conduct; engages, participates and collaborates with others. A successful Associate, who people like working with and who may over time also have a leadership role: • Accepts others' opinions and encourages teamwork., • Brings cultural awareness and sensitivity to each interaction with colleagues., • Participates actively and contributes to internal activities; engages with office and practice., • Represents Spencer Stuart well by speaking positively about the Firm and aligning behavior to Firm values., • Conducts themselves in a way that is consistent with the Firm's values. Spencer Stuart is a proud equal opportunity and affirmative action employer. We are committed to non-discrimination without regard to actual or perceived race, ethnicity, creed, color, religion, gender (including pregnancy, childbirth or related medical conditions), national origin, immigration status, ancestry, age, marital status, protected veteran status, physical or mental disability, medical condition, genetic information, sexual orientation, gender identity, or any basis prohibited under applicable federal, state or local law. Please see job description PI284323523 Job distributed by ___.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's 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 the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's 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 works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's 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 Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs. • Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations, • Sell agentic AI solutions by mapping Scale's capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research), • Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy, • Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions, • Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments, • Navigate regulatory, security, and procurement processes unique to financial services environments, • Act as the voice of the customer internally-informing product roadmap, agent design, and vertical-specific solutions, • Maintain a strong command of pipeline, forecasting, and deal hygiene using Salesforce, Clari, and related tools, • Operate with urgency and precision in a fast-paced, highly cross-functional environment, • 8-12+ years of enterprise sales experience, with significant focus on financial services (banking, insurance, capital markets, or fintech), • Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions at a business and technical level, • Deep understanding of financial services workflows (e.g., underwriting, claims, fraud, KYC/AML, research, operations) and how technology transforms them, • Demonstrated success engaging and influencing executive stakeholders, including building and delivering compelling business cases and ROI narratives, • Strong command of enterprise sales methodology, including account planning, multi-threading, and disciplined forecasting, • Ability to navigate ambiguity, long sales cycles, and complex stakeholder landscapes with high ownership and resilience, • Excellent communication and storytelling skills across both technical and non-technical audiences, • High level of business acumen, technical curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into financial services, • Background working with or alongside risk, compliance, or data organizations within large enterprises, • Familiarity with regulatory considerations (e.g., model risk management, auditability, data privacy) in AI deployments 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.

All locations Hartford, United States; New York, United States; San Francisco, United States; Location: Hartford, San Francisco, or New York City Job Description The Insure AI Underwriting team is an experienced business unit structuring risk-transfer solutions for corporates and start-up companies utilizing AI as part of their product, services, or processes. In particular, we seek to drive insurance for the uncertainty of machine learning model errors, including GenAI applications. Your focus will be on working with data science teams at corporates and start-ups to assess the quality of the implementation of the machine learning systems and estimate the probability of predictions falling short compared to the actual outcomes or quantify the hallucination rate of GenAI applications. In addition, you will build relationships with leading research institutions in the area of statistics and computer science, contribute to the team's research and academic publications, and you will keep the team up to date with the latest developments in the area of machine learning risk quantification, e.g. model error or hallucinations rate assessments, copyright infringement by GenAI models, and AI discrimination risk. We are looking for a Research Scientist who combines a strong background in statistics or computer science with a business oriented mindset to develop financial solutions for AI risk and who will help us shape Munich Re's future. The position can be based either in the Bay Area, or in New York City or Hartford, CT. Education and Experience • PhD degree in Statistics, Computer Science, Data Science or related fields, • Minimum of 5 years of relevant experience in a data scientist role with start-up companies or as part of a graduate degree in Statistics, Computer Science, Data Science or related fields Knowledge and Skills • Excellent understanding of modern machine learning and GenAI techniques, best practices in their implementation at scale and performance evaluation, • Excellent understanding of conformal prediction and other distribution-free uncertainty quantification approaches and their limitations, • Excellent networking and stakeholder management skills, • Excellent abstract reasoning and communication skills, • Ability to reduce complexity and communicate concisely the most important points of a deal opportunity to senior management, • Excellent project management skills, • Strong negotiation skills, • Strong ability to quickly understand new and complex business cases, • Good working proficiency in Python, or comparable programming languages, • Fluency in English is a must, fluency in German a plus, • Highly ambitious, entrepreneurial, and innovative mindset, curiosity and drive, • Didactic and intercultural competence, • Willingness to work in deal teams distributed across different time zones and continents We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We are 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 protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. The Company is open to considering candidates in numerous locations, including California. The salary ranged posted below applies to the Company's Hartford, CT location. • The salary range for this position is $ 138,400 - $203,000, plus opportunity for company bonus. In addition, the company provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO)., • The salary estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range. ___ Save job

SSI (U.S.) Inc. d/b/a Spencer Stuart Spencer Stuart is an equal opportunity and affirmative action employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Location: New York Full/Part Time: Full time Req ID: R4644 ASSOCIATE ROLE Spencer Stuart is seeking to recruit an Associate for the Marketing, Sales & Communications Officer (MSC) Practice. This Associate will focus on Chief Communications Officer and Chief Investor Relations Officer searches across industries, while working in partnership with several core Consultants. With exposure to a broad set of clients and leadership challenges, this Associate will help to identify and develop diverse candidate slates as an essential member of the search team. The Associate role combines research, assessment, and relationship-building skills to deliver extraordinary service and value to Spencer Stuart clients. Successful candidates for the Associate position will have strong project management ability, writing skills, results orientation, rigorous attention to details, intellectual curiosity and ideally, an understanding of corporate communications and/or investor relations. The Associate will enjoy the challenge of working internally with a variety of Consultants and externally with diverse, senior-level executives and board members. Associates will be expected to acquire deep and insightful candidate pool knowledge over time. The Associate will ideally be based in New York City. There is an expectation of being in the office a minimum of two days a week. In the early stages, it will be beneficial for the individual to spend more time in the office to build relationships, engage with colleagues and participate in the local office community. KEY RELATIONSHIPS Reports to: Marketing, Sales & Communications Officer Practice Leader Consultants (on an assignment basis) Other key Associate Practice Leader Relationships: Market Leader Analysts, Associates, Senior Associates, and Consultants EEA's Human Resources Business Partner (HRBP) KEY RESPONSIBILITIES • Contribute actively to the start-up phase of each search by participating in client kick-off meetings with the Consultant and assisting in the development of the position specification, search strategy and target list of companies., • Gather relevant information regarding the appropriate industries and target companies. Identify potential prospects and sources and represent the client effectively in the marketplace, discussing the opportunity with relevant executives., • Validate potential candidates through reference and source calls., • Partner with the Consultant to develop and present a slate of qualified candidates to each client. Anticipate what needs to drive the search to closure and be prepared to supply additional information, such as related industry/segment trends, market findings, reaction to the opportunity, compensation data, etc., gained during the course of a search., • Contribute to the preparation of position specifications, candidate presentations and reference reports adhering to the Firm's assessment methodology., • Communicate effectively with the Consultant and Executive Assistant, and remain fully abreast of search developments, in order to communicate accurately and credibly regarding the assignment., • Prepare organized information for the client progress reports/meetings by teaming with the Consultant and the Executive Assistant. Provide an informed perspective on prospects/candidates and how they match against the key selection criteria., • Be aware of activities and management changes in the relevant industry's sector; keep team members apprised of relevant developments in the marketplace., • Add to the firm's candidate pool expertise by continually identifying and introducing new talent to the firm. Ensure that up to date assignment, company and candidate information during the course of an assignment is always available for colleagues, by leveraging technology and information from the firm's state-of-the-art, proprietary database., • Contribute to responses to inquiries for new business, as well as business development initiatives., • Be willing and proactive about contributing to local, practice or firm-wide initiatives. Coordinate and share practice related information with colleagues for potentially broader distribution. IDEAL EXPERIENCE • 3+ years of progressive business experience in executive search, recruiting, talent acquisition, strategy consulting, or a relevant professional services environment, with significant time spent in client service. Spencer Stuart experience preferred., • Advancement of skills and knowledge evidenced through promotion or tenure, • Superior project management skills demonstrated through experience working in a high-performance environment where multiple projects and competing demands are the norm, • Excellent communication skills shown through clear, structured and concise written and verbal presentation, • Undergraduate degree required; postgraduate degree a plus CRITICAL LEADERSHIP CAPABILITIES Project Management Plans, manages and drives own efforts to identify and develop a slate of quality candidates as measured by consultant, client and candidate feedback. The successful Associate will do this while handling multiple projects with competing deadlines, working with individuals who have differing styles, and managing challenging expectations: • Takes an end-to-end view of each project and the required resources; works at pace and with attention to detail while managing competing deadlines and priorities; has a sense of urgency., • Understands the search process (from internal kick-off to referencing); asks questions to understand; and is proactive., • Works on multiple projects; meets deadlines and is resilient under pressure; delivers on commitments on time or notifies as early as possible if deadlines will slip., • Demonstrates enthusiasm, tenacity and intellectual curiosity; action-oriented; deals with problems immediately., • Demonstrates a strong work ethic, with a results-focused and flexible approach to project management. Candidate Development Develops qualified and interested candidates for portfolio of searches. A successful Associate will develop excellence in search strategy to build strong contact management lists: • Observes and asks questions to fully understand the issue; synthesizes information from a variety of internal/external sources, despite possibly having ambiguous or incomplete information., • Gathers relevant data from a variety of sources, including views gathered through Third Party Sourcing (TPS), to help determine broad capabilities, gaps, qualifications/fit; articulates reasons for fit to spec in a succinct manner., • Determines priority of which potential candidates to approach., • Adds meaningful notes on Quest, diligently uses the initial assessment feature. Credibility and Influence Communicates effectively both in writing and verbally; has "gravitas" (executive presence) and is able to build relationships. Able to hook candidates and convince consultants to meet them, building a strong internal brand: • Interacts with a range of internal and external stakeholders and candidates with differing styles and egos, understanding and appreciating what is important to each., • Becomes a credible and authentic professional by observing colleagues and emulating role models., • Adapts verbal and written communications according to expectations for role and audience, specifically how to be confident, succinct, concise, prepared and professional. Market and Candidate Knowledge Obtains and incorporates knowledge to enhance client work in a meaningful way. Knows how to get information, effectively uses the available firm resources, developing and sharing candidate pool knowledge: • Identifies executive movements in the market and updates Quest (ideally in real time) and colleagues; asks questions and shows interest in networking., • Has a genuine interest in/curiosity about people and businesses; and has an understanding of businesses and their interrelationships., • Understands how to identify and navigate the various relevant sources available (Quest, Passport, Global Information Services, Hoovers, LinkedIn, etc.). Developing Self and Others Develops self and others; seeks and provides feedback, modifies own performance or behavior based on feedback. A successful Associate is constantly growing, learning and enhancing his/her skills and capabilities: • Seeks and is open to feedback from colleagues, placing value on self development efforts; seeks opportunities for growth., • Is self-aware and open to changing one's own behavior. Firm Values Champions the Firm's values, culture and Code of Conduct; engages, participates and collaborates with others. A successful Associate, who people like working with and who may over time also have a leadership role: • Accepts others' opinions and encourages teamwork., • Brings cultural awareness and sensitivity to each interaction with colleagues., • Participates actively and contributes to internal activities; engages with office and practice., • Represents Spencer Stuart well by speaking positively about the Firm and aligning behavior to Firm values., • Conducts themselves in a way that is consistent with the Firm's values. The base compensation range for this position is $100,000-130,000 per year. The actual base compensation offered within this range will be dependent on the individual's skills, experiences, and qualifications. This position will be eligible to participate in our annual discretionary bonus program. Spencer Stuart also offers a competitive benefits package, which includes: • Retirement savings plan with discretionary profit sharing contribution and employer match;, • PTO (minimum 15 days per year, increases with tenure), paid sick time (10 days per year), company holidays (12 days per year), and paid leaves of absence when applicable;, • Comprehensive health benefits, including medical, dental, and vision insurance, and healthcare flexible spending account;, • Life Insurance, and short-term and long-term disability insurance;, • Wellness benefits, including an employee assistance program, virtual mental health program, and mindfulness program; and Please see job description PI284284702 Job distributed by ___.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$264,800—$331,000 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 DescriptionDescription: Community Health Action of Staten Island (CHASI) drives dramatic improvements in the health of New Yorkers by feeding people who are hungry, healing families broken apart by violence, and bridging the gaps between people and the compassionate health care they deserve. CHASI serves the most vulnerable individuals, families, and communities with critical services and programs. CHASI provides outreach, education, prevention, and direct support services for populations most affected by health disparities – the poor and working poor, low-income people with chronic illnesses, persons with criminal justice involvement, substance users, domestic violence survivors, people of color, persons living with HIV/AIDS, and the LGBTQ+ community. POSITION SUMMARY: Community Health Action of Staten Island, in partnership with Sun River Health, has developed a collaborative program to enhance care engagement, improve HIV health outcomes, and promote the well-being of people living with HIV/AIDS (PLWH/A) in Queens and Staten Island. The Ryan White Support Services program addresses unmet social service needs that have significantly hindered their access to and engagement in HIV and other essential medical care. This program will expand services to Staten Island and establish community-based, non-Medicaid eligible services in Queens to assess, identify, and address unmet social determinants of health (SDOH) needs. The Peer Advocate position was created as research and CHASI’s values dictate that involving people who have their own lived experience with substance use, mental health conditions, and/ or HIV is invaluable in reaching and helping the population. The Peer Advocate mentors and guides individuals using their experiences to support people in a way that shows people that living a healthy life with HIV is not only possible but sustainable. The Peer Advocate maintains appropriate positive, professional interpersonal relationships with staff, participants, volunteers, and the community. They will be well versed in all CHASI and Sun River Health services to refer and link clients appropriate to services. DUTIES & RESPONSIBILITIES: • Provide overview of program, department, and agency services through Orientation activities;, • Accompany participants to provider sites to give support and navigation assistance;, • Co-facilitate group activities that teach clients how to identify high risk thoughts or actions and slow down impulsive behavior to change their thought patterns for prosocial behavior;, • Assist with community outreach and program promotion to inform the public of available agency resources, as needed;, • Provide food and nutrition counseling/education;, • Successfully complete required food and nutrition counseling and education training held by the College of Staten Island;, • Conduct telephone and office-based follow up with individuals to identify and address barriers to care and treatment;, • Provide reminder phone calls to reinforce retention in care and services;, • Reach out to participants to follow up on referrals made and to engage them into programming;, • Outreach individuals who miss appointments;, • Attend and participate in staff development trainings as required;, • Actively participate in regularly scheduled supervision and attend team meetings;, • Complete all program documentation in a timely manner;, • Perform all functions in alignment with CHASI’s Mission, Vision, and Core Values; Sun River Health- Health Homes Program: 89-31 161st Street, 10th floor Jamaica, Queens 11435 Position Status: Part- Time FLSA Status: Non-Exempt Pay & Benefits: $37,000-$41,000, commensurate with qualifications; excellent benefits package Requirements: QUALIFICATIONS: • Hold a NYS AIDS Institute Certified Peer credential, preferred. Other Peer certification from a reputable program can also be considered OR be able to obtain certification within first 6 months of hire., • Lived experience with HIV is highly preferred; candidates with lived experience with substance use and/or mental health conditions are welcomed also welcomed., • High school diploma or high school equivalency is highly preferred., • Bilingual Spanish is highly desired., • Possess an understanding of community-level work and the importance of collaborating and coordinating with other organizations., • Effective oral and written communication skills., • Ability to juggle priorities and manage time productively; thrives in a fast-paced environment., • Knowledge of community resources and organizations in Queens., • Demonstrate organizational & problem-solving skills., • Proficient in Microsoft Word, PowerPoint, and Excel. CHASI is an equal opportunity employer and is committed to hiring and supporting a diverse staff. People of color, LGBTQ, women, and people with disabilities strongly encouraged to apply. All qualified applicants will be afforded equal employment opportunities without discrimination because of race, religion, color, national origin, sex, sexual orientation, gender identity, age, genetic information, disability or marital status.

Job Description Company Overview: The New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant but will be supervised by NYC DOHMH. This is a grant-funded position. NYC DOHMH's Office of Emergency Preparedness and Response (OEPR) was created to promote NYC Health’s and NYC’s ability to prevent, prepare for, respond to, and recover from health emergencies. OEPR is responsible for coordinating agency-wide emergency preparedness planning, exercises and training, evaluation of incident response and exercise performance as well as coordinating with community stakeholders, city, state, and federal partners. OEPR envisions a healthy, resilient city in which all New Yorkers are able to achieve and maintain optimal and equitable health outcomes before, during, and after emergencies. OEPR’s work recognizes the social inequities that can negatively impact our efforts to maintain and improve the health of New Yorkers during and after a disaster. OEPR works to improve its application of a social justice and racial equity lens to its emergency preparedness and response work to ensure the most equitable post-disaster public health outcomes possible. Within OEPR, the Bureau of Agency Preparedness and Response (BAPR) oversees the development of emergency planning tools, training, exercises, and evaluation across the agency, and maintaining citywide situational awareness. Within BAPR, the Chemical, Biological, Radiological, and Nuclear (CBRN) Unit oversees NYC Heath’s preparedness for CBRN emergencies, by coordinating across the Health Department and with local/state/federal partners to conduct CBRN emergency preparedness work (e.g., planning, training, exercises, special projects), striving to continuously improve NYC’s readiness against low-likelihood, high-consequence CBRN incidents Job Description: NYC DOHMH has an opening for a CBRN Planner. Reporting to the Director of CBRN, the CBRN Planner is responsible for maintaining CBRN emergency planning and response documents, managing a NYC DOHMH-coordinated CBRN field operation program, and applying scientific/technical expertise to address CBRN operational gaps. Duties: • Maintain and update a portfolio of CBRN emergency planning and response documents, such as but not limited to plans, playbooks, and standard operating procedures, ensuring that all emergency documents are grounded in currently available scientific research and industry practice., • Coordinate CBRN field preparedness program, including conducting offsite visits to validate and update field response guides, update and deliver trainings to internal and external partners, tracking and sustaining supplies, and coordinating with partners to maintain operational readiness., • Apply scientific/technical concepts and findings to lead or assist with special CBRN projects, such as identifying preparedness gaps and implementing science-backed solutions, evaluating and proposing improvements to existing preparedness operations, and developing presentations and materials that communicate technical CBRN concepts to non-technical audiences., • Coordinate with internal and external subject matter experts and preparedness stakeholders to ensure timely completion of CBRN projects., • A master’s degree from an accredited college or university with a specialization in physical, biological, or environmental science, or in public health; and at least two (2) years of responsible full-time research experience in the appropriate field; or, • A master’s degree from an accredited college or university with a specialization in social science and three (3) years of responsible full-time research experience in the appropriate field; or, • A satisfactory equivalent combination of education and/or experience. However, all candidates must possess:, • A master’s degree in an appropriate field of specialization; and, • Prior experience conducting CBRN preparedness work, such as developing emergency plans, conducting trainings and exercises, and/or leading or supporting CBRN preparedness operations., • Scientific/technical knowledge of CBRN hazards and their impacts on public health., • Operational/technical knowledge of CBRN incident response operations, preferably in large, civilian urban environments., • Professional experience and/or academic studies in relevant fields, such as but not limited to physical, biological and/or chemical sciences, chemical or nuclear engineering, industrial hygiene, health physics, toxicology, and/or environmental health science., • Willingness to complete a wide variety of tasks, including but not limited to conducting field work, inventory management, synthesizing complex information for non-technical audiences, drafting a variety of documents, and facilitating meetings and presentations., • Prior experience and ability to handle sensitive information (security clearance not required)., • Ability to develop and manage a diverse portfolio with multiple stakeholders., • Strong project management skills, including time management, attention to detail, organization, problem solving, negotiation, and project tracking., • Ability to work independently, manage multiple tasks, respond to changing priorities, and meet deadlines., • Ability to anticipate challenges and proactively work to pursue solutions and new ideas., • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This is a temporary grant-funded position., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday 35 Hours Per Week

Job DescriptionDescription: Title: Senior Peer Mentor, HOPE Department: Health Care Coordination Reports To: Senior Director of Justice Initiatives Location: 56 Bay Street 3rd floor, Staten Island, NY 10301 Position Status: Full-Time FLSA Status: Non-Exempt Pay & Benefits: The pay range for this role is generally $37,000-40,000 commensurate with relevant experience and qualifications and in alignment with internal equity. Additionally, we offer an excellent benefits package that includes generous paid time off (4 weeks of vacation plus paid holidays, personal, and sick time), medical, dental, vision, supplemental benefits including employer provided basic life insurance and employee assistance programs, tuition reimbursement and fitness reimbursement after 1 year of employment, a retirement plan that includes employer matching, and more! Community Health Action of Staten Island (CHASI) drives dramatic improvements in the health of New Yorkers by feeding people who are hungry, healing families broken apart by violence, and bridging the gaps between people and the compassionate health care they deserve. CHASI provides outreach, education, prevention, and direct support services for populations most affected by health disparities – people with low or no income, low-income people with chronic illnesses, people with criminal justice involvement, people who use drugs, domestic violence survivors, people of color, and the LGBTQ community. POSITION SUMMARY: The Heroin Overdose Prevention Education (HOPE) program provides an opportunity for those who are involved with the criminal justice system, charged with an offense and exhibit substance use, to access care and treatment with the long-term goal of managing their lives in the community and preventing future arrests and returns to incarceration. The Senior Peer Mentor position was created using the research and belief that involving people who have their own lived experience with substance use, mental health conditions, and/ or criminal justice involvement is invaluable in reaching and helping the population. The Senior Peer Mentor role mentor will guide individuals using their experiences to support people in a way which shows people that recovery is possible and does happen – a peer mentor becomes a role model. The Senior Peer Mentor provides services that are strength-based and trauma-informed. The Senior Peer Mentor provides outreach, engagement, and accompaniment to individuals enrolled in the program on-site and in the community. DUTIES & RESPONSIBILITIES: • Reply rapidly to activations from the Richmond County District Attorney (RCDA) to meet with referred individuals, either at the Richmond County Courthouse or one of Staten Island’s four NYPD precincts;, • Establish a regular presence in the courthouse to meet with newly referred individuals and be a liaison between legal parties and the HOPE program;, • Provide overview of program, department, and agency services through Orientation activities;, • Accompany participants to provider sites to give support and navigation assistance;, • Co-facilitate group activities that teach clients how to identify risky thoughts and slows down impulsive behavior to change their thought patterns for prosocial behavior;, • Assist with community outreach and program promotion to inform the public of available agency resources, as needed;, • Assist Recovery Counselor in the screening, assessment, and monitoring process;, • May participate in weekly conferences with court personnel, RCDA, and defense attorney;, • Conduct telephone and office-based follow up with individuals to identify and address barriers to care and treatment;, • Provide reminder phone calls to reinforce retention in care and services;, • Reach out to participants to follow up on referrals made and to engage them into programming;, • Outreach individuals who miss appointments to minimize program infractions;, • Complete after-care calls to clients post-completion to support in sustained recovery;, • Attend and participate in staff development trainings as required;, • Actively participate in regularly scheduled supervision and attend team meetings/ huddles;, • Complete all program documentation in a timely manner;, • Align all activities with CHASI’s mission, core values, and culture, • Perform all functions in alignment with CHASI’s Mission, Vision, and Core Values The above is intended to describe the essential job functions, the general supplemental functions, and the essential requirements for the performance of the job; it is not to be construed as an exhaustive statement of all the job functions. Requirements: QUALIFICATIONS: • The Senior Peer Mentor will be a Certified Recovery Peer Advocate, or HTH Peer Training Program graduate, with at least 1-year experience in a treatment, hospital, community-based organization or recovery center setting preferred., • Candidates must be representative of the population to be served; history of criminal justice involvement highly preferred., • High school diploma or high school equivalency required., • Additional experience in working with people having a history of homelessness, mental health diagnoses, substance use or marginalized behaviors., • Fluent in English. Bilingual in Spanish is highly desired., • Willing to explore, being creative and being open to new ideas in the process of problem-solving., • Possess an understanding of community level work and the importance of collaborating and coordinating with other organizations, • Ability to identify issues, obstacles and opportunities and implement effective solutions., • Effective communication skills, including ability to follow instructions, listen, communicate effectively in writing and verbally. CHASI is an equal opportunity employer and is committed to hiring and supporting a diverse staff. All qualified applicants will be afforded equal employment opportunities without discrimination because of race, religion, color, national origin, sex, sexual orientation, gender identity, age, genetic information, disability or marital status.

Job DescriptionNOLITA FULL-TIME SUPERVISORMadhappy is a Los Angeles-based clothing brand made for a community of optimists, born in 2017. Madhappy uses apparel, events, and experimental retail spaces – including its permanent flagship in West Hollywood – to explore a personal expression as a means to an improved state of mind. Its own seasonal stores – with past and present locations including New York City (Soho), Aspen, Miami, East Hampton, and Tokyo – are each designed to reflect their site, while still sharing the brand’s DNA. The brand currently produces a selection of ever-evolving, evergreen classic styles, seasonally available collections and collaborations. Madhappy supports research and awareness in mental health through The Madhappy Foundation (a 501c(3) non-profit) and writes Local Optimist, a print magazine. Each to celebrate us as works-in-progress, and the personal and collective expression that is a part of that. About the jobWe are looking to hire a full-time store supervisor for our Madhappy flagship location in Nolita, New York City. The store supervisor is responsible for supporting the General Manager in driving sales, managing daily operations, and leading the store team. This role will play a key part in developing the store’s clientele, ensuring operational excellence, and upholding Madhappy’s brand values. You must be based in New York City to be considered for this position. Key ResponsibilitiesSales & Business Development● Partner with the General Manager to drive sales and meet or exceed store targets.● Actively engage with customers to build relationships, increase conversion, and drive client retention.● Support the execution of business strategies to optimize store performance and profitability.● Monitor and track key sales metrics, assisting in implementing strategies to improve results. Operations & Store Management● Assist in overseeing store operations, including inventory management, stock replenishment, and loss prevention.● Ensure the store maintains high standards of cleanliness, organization, and overall readiness.● Step into leadership responsibilities in the absence of the General Manager. Team Leadership & Development● Lead by example, providing exceptional customer service and motivating the team to do the same.● Assist with onboarding, training, and coaching new hires to ensure strong performance and growth.● Provide ongoing support and feedback to team members to foster a positive and results-driven work environment.● Help ensure all staff members understand and align with Madhappy’s brand mission and values. Customer Experience & Clientele● Deliver a best-in-class shopping experience by ensuring all team members are knowledgeable, approachable, and customer-focused.● Support and drive the store’s clienteling program to build strong customer relationships.● Resolve customer concerns and issues professionally to ensure customer satisfaction and loyalty.● Maintain a welcoming and inclusive environment that aligns with Madhappy’s commitment to mental well-being. Qualifications● 2+ years of retail experience, with at least 1 year in a leadership or supervisory role.● Strong sales acumen with a proven track record of meeting or exceeding goals.● Experience in clienteling and building long-term customer relationships.● Strong communication and leadership skills, with the ability to motivate and develop a team.● Ability to multitask and thrive in a fast-paced, dynamic environment.● Passion for Madhappy’s mission and a commitment to delivering a top-tier customer experience.● Merchandising background is preferred. Benefits● Up to 96 hours of PTO annually● Health, dental, and vision insurance● Retirement plans available● Quarterly fitness and mental health stipend● Welcome gift :) Employee discount and early access to products● Monthly performance bonus $24/hrAbout MadhappyMadhappy is a clothing brand for a community of optimists. Born in Los Angeles, 2017, the brand has built itself around an optimistic ideology, expressed through apparel, events, and experimental retail spaces around the world. Madhappy writes Local Optimist magazine, supports research and awareness in mental health through Madhappy Foundation. About Local OptimistLocal Optimist is a space for radical discovery and connection. By focusing on open conversations and mindful exploration, we orient people with reliable, optimistic resources — available at any moment. About The Madhappy FoundationThe Madhappy Foundation™ is non-profit organization, 501(c)(3) with a mission to improve mental health globally. Through The Madhappy Foundation™, 1% of proceeds from every sale benefit our efforts to raise awareness, fund research, and positively impact the mental health movement. Learn more here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations’ infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models and customizable integrations to drive productivity and innovation at scale. We are seeking a Native Experience & Growth PM to own how users discover, adopt, and stay engaged with North across every surface — iOS, Android, macOS, and web. This is a high-leverage role sitting at the intersection of three domains: Native Applications. Own North’s iOS, Android, and macOS apps. You’ll define the mobile product roadmap, drive platform-specific capabilities (such as widgets, shortcuts, push notifications, offline modes), and ensure the native experience feels fast, polished, and purpose-built for knowledge workers on the go. Front-End Platform. Own the platform-wide shared component layer which would be the infrastructure that makes North customizable and enterprise-ready. This includes white-labeling and custom branding, configurable terms and conditions, notification systems, and the shared system components that will be leveraged across devices and features. Onboarding, Retention & Growth. Own the end-to-end user lifecycle from first login to power user. You’ll design and iterate on first-time user experiences (FTUX), contextual onboarding flows, proactive guidance, and re-engagement strategies. * Define and execute the roadmap for North’s iOS, Android, and macOS apps, balancing platform-native capabilities with cross-platform consistency. * Own the shared component and configuration layer that enables enterprise customization * Design and iterate on FTUX and onboarding flows that minimize time-to-value and drive activation across new enterprise deployments. * Own analytics instrumentation to track funnel performance, feature adoption, and re-engagement; run structured experiments to improve key metrics. * Engage directly with enterprise customers to surface use cases across surfaces and validate product decisions with qualitative and quantitative evidence. * Collaborate with design and engineering to maintain a coherent, accessible component system and ensure pixel-perfect experiences that scale across customer deployments. * 5+ years of product management experience, with meaningful time in at least one of: mobile/native applications, front-end platform, or growth and lifecycle PM. * Track record of shipping mobile or platform-layer products with real impact on adoption, retention, or engagement. * Strong working knowledge of mobile UI/UX principles, such as iOS HIG and Material Design, and comfort making tradeoffs between native and cross-platform approaches. * Analytical by default: you define metrics before you build, know how to instrument a product, and can run and interpret A/B tests. * Strong cross-functional collaborator who works well with distributed engineering and design teams and can translate technical tradeoffs for non-technical stakeholders. * Highly execution-oriented with a bias for getting things shipped and iterating from there. * Experience owning front-end platform work: design systems, white-labeling, shared component libraries, or configuration infrastructure for enterprise SaaS. * Experience with enterprise mobile compliance requirements: MDM/MAM, enterprise app distribution, data encryption at rest and in transit. * Exposure to agentic AI systems, LLMs, or conversational interfaces, ideally in a mobile or desktop context. * Impact: Shape the native surface of an enterprise AI platform used by some of the world’s largest organizations. * Innovation: Work alongside leading researchers and engineers solving complex ML challenges. * Growth: Enjoy competitive compensation, equity options, and opportunities for professional development. * Flexibility: Hybrid work model with offices in key global locations. Remote or hybrid (San Francisco, New York, Toronto) - we prefer for this candidate to be open to working EST hours. If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an ___, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! Our Creation Engine teams work on some of the core technologies that power our real time, browser-based ___ and ___ products. These teams work mostly (but not exclusively) on client-side code that runs in the browser. Under the hood, Figma shares a lot of similarities to a game engine. We develop this C++/WebAssembly engine to ensure internal and external developers can rapidly build new products and features that are fast and reliable by default, and own areas such as our in-memory data model (SceneGraph), renderer, and multiplayer client/server protocols. Within Creation Engine, the Rendering & Animation team focuses on the lowest level of the stack, where we convert the SceneGraph into primitive rendering operations that are executed on the GPU using WebGL. Our team houses the company’s expertise in rendering of 2D vector graphics, rendering algorithms, rendering APIs, and GPU profiling and optimization. Our mission is to make rendering performant, feature-rich, reliable, maintainable, and extendable across all products and surfaces. Rendering & Animation engineers use a combination of C++ and TypeScript for CPU-side code (to support our two renderers); our shaders are written in GLSL. The team recently completed a large project to replace our legacy rendering backend with a new one - “TinyGPU” - that is more modern, much smaller, and easier to work with. This project has laid the groundwork for a new era focused on feature expansion, performance optimization, advanced animation, and future product launches. Each new product at Figma pushes beyond our previous rendering assumptions, requiring constant innovation and visionary foundations. The Rendering & Animation team is looking for engineers with domain expertise in rendering algorithms and APIs, as well as both high- and low-level performance optimization. Experience relating to rendering of 2D vector graphics specifically is a plus, but not required! We’re looking for someone who is excited to explore the latest graphics technologies like WebGPU, plus develop and implement new algorithmic techniques for things like high-performance antialiasing. Figma is a highly collaborative organization and most projects are owned by small teams of 2-3 people. You’ll form strong relationships with product managers and designers, and can expect to partner regularly with engineers and leaders beyond your immediate team. We strive to foster an inclusive culture that promotes equity and belonging, and use the following values to guide how we work together: communicate early and often, lift your team, focus on craftsmanship, and prioritize impact. You can learn more about our engineering values and how we developed them ___. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Work closely with teammates and partners in Engineering, Product, Design, Marketing, User Research, and Data Science to build new features and achieve roadmap goals. We prioritize collaboration and cross-functional partnerships, so you won’t operate in silos. Some efforts you might impact include:, • Creating and optimizing shaders to render blurs of primitive shapes in a single pass, • Improving how we order and batch draws to reduce draw calls and render target switches, • Developing and implementing faster approaches to anti-aliasing (an open area of research in 2D vector graphics!), • Implementing performant animations using multiple layer caches for fast compositing, • Drive guidance, quality, and standards for rendering at Figma, and explore opportunities that keep us on the bleeding edge of new capability and advancements., • Be a mentor and provide thoughtful feedback to your peers, and benefit from strong personal and professional mentorship opportunities yourself., • Contribute to org-wide initiatives like new hire onboarding, interview process development, and Belonging/Equity/Inclusion efforts., • Continue ramping and learning. The technical challenges you'll tackle on the Rendering & Animation team are unique, fun, ambitious, and ever-evolving., • 8+ years of professional experience shipping software with a specialization on Rendering and Graphics (2D or 3D), ideally with experience in C++/WebAssembly., • Experience working on game engines, client-side technologies and platforms, and rendering APIs like OpenGL, WebGL, WebGPU, Vulkan, Metal, or DirectX., • Demonstrated fluency with one or more low-level programming languages, including but not limited to: C++, C, Objective-C, Go, or Rust., • Deep familiarity with the rendering pipeline and rendering concepts., • Proactive communication skills and a desire to work in a collaborative environment. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.