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

At Scale, we develop reliable AI systems for the world's most important decisions. Scale's product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale's offering. We understand our customers' needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. This role sits at the center of Scale's GenAI data products, which power the world's leading AI labs. As one of the largest providers of high-quality AI training data, we've built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. The market is evolving fast, and we're looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution. You will: • Own positioning and messaging for Scale's GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers., • Lead the content and social strategy for ___' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community., • Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves., • Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business, • Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum., • 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences., • Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance., • Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners, • Excellent written communication and storytelling skills - you can make complex technical concepts compelling without oversimplifying them., • Familiarity with the AI training data market, or adjacent data and infrastructure spaces., • An existing network or relationships within the AI research community. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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 ___. 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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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

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

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, 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:$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 ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

The New York Genome Center (NYGC) is seeking exceptional, highly motivated Genomic AI Fellows to join a high-impact initiative transforming the diagnosis, prevention, and treatment of human disease through predictive genomic AI. This program aims to bridge the gap between large-scale genomic data and transformative clinical impact. The fellowship will provide early-career scientists with the resources and environment to develop next-generation Foundation Models (FMs) for the human genome. While DNA sequencing is now a clinical staple, the noncoding "dark matter" of the genome remains largely undeciphered. AI will play a key role in unlocking the sequence-to-function code. As a Genomic AI Fellow, you will collaborate with data generators, computational experts, and geneticists. You will leverage NYGC's massive, proprietary datasets, including single-cell multiomics and large-scale genetic perturbation datasets, to build models that predict how genetic variation influences cellular behavior and, ultimately, human health. Genomic AI Fellows are encouraged to explore the frontier of genomic modeling, with access to high-resolution data and high-performance computing to address challenges such as: * Mapping the Regulatory Landscape: Moving beyond bulk-omics to predict cell-type-specific molecular phenotypes directly from DNA sequence. * Decoding Distal Regulation: Developing novel architectures that can accurately connect distant regulatory elements to transcriptomic output, capitalizing on genetic perturbations. * Predicting Clinical Trajectories: Utilizing whole-genome sequencing (WGS) from tens of thousands of cases-including Autism, Schizophrenia, Alzheimer's, and ALS-to predict disease risk and susceptibility via intermediate molecular effects. We are seeking "high-risk, high-reward" thinkers who thrive at the intersection of machine learning and biology. * Academic Background: A Ph.D. in Computer Science, Computational Biology, Genomics, or a related quantitative field * AI Sophistication: Deep expertise in modern deep learning, foundation models, and large-scale model training. * Biological Curiosity: A strong interest in (or experience with) gene regulation, epigenomics, or the genetic basis of complex disease. * Independence: A track record of leading original research and the ability to navigate complex, multi-modal datasets. This is a platform for researchers to lead high-impact projects within a collaborative ecosystem. You will be paired with world-class computational expertise and gain direct access to genomics data and "in-production" multiomics pipelines. Your work will sit at the vanguard of precision medicine, translating the multiomics revolution into actionable biological insights. This position is offered as a one-year renewable appointment, with renewal based on performance, funding availability, and program needs. The pay for this position is $118,000 per year; this includes a $100,000 base pay and a $1,500 per month taxable postdoctoral housing allowance ($18,000 per year), a full range of medical, financial, and other benefits, and generous time off. The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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

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

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

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

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

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: • Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;, • Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;, • Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. • Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments., • Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems., • Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation., • Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization., • Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation., • Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership., • Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities., • 15+ years of experience as a technical software engineering leader., • Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments., • Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred., • Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact., • Experience influencing and mentoring engineering teams in complex, matrixed environments., • Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200—$356,500 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. 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In Strategy & Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization's total enterprise reinvention. An R&D expert with an in-depth understanding of how business, technology and operations intersect and you've spent years using that know-how to help clients transform their business performance. You know how to design, build and deploy solutions that help clients get the right therapies to patients faster. You get a quiet satisfaction from using your analytical talents to solve problems in new and creative ways. You never have problems explaining those ideas, thanks to strong communication and interpersonal skills. Your experience means that you've got innovative answers when people come to you with problems. You collaborate and are creative in inspiring teams to turn in quality work on time, every time. You have interest and expertise in the clinical development process. The Work (Role Responsibility) * Help biopharma and/ or biotech clients, and other organizations in the broader healthcare ecosystem, get products to patients faster. * Lead analysis of their current product development and R&D strategies * Head up teams designing and deploying solutions focusing on patient engagement throughout the development cycle * Advise clients on how they can use the next generation of capabilities and operating models to become data-driven, AI enabled organizations * Design and deploy change management projects that set up clients for long term success * Build relationships with senior clients that help Accenture become a trusted partner * Drive business development efforts and help build the Accenture Consulting practice * Develop Accenture's thought leadership and technical expertise in pharmaceutical, med tech and/or biopharma R&D Here's What You Need (Basic Qualifications) * Minimum of seven years' of consulting experience * Minimum of seven years' experience working in the Life Sciences R&D industry * A Bachelor's degree Bonus Points (Preferred Skills) * Your Bachelor's degree has a major in science or health engineering * A deep understanding of pharma, med tech and/or biopharma R&D, and product life cycle processes and technologies * You've got at least four years' experience in the Life Sciences R&D industry in at least one of the following areas: research, clinical development / operations, pharmacovigilance, regulatory, medical affairs, medtech, patient services, MD&D (medical device and diagnostics) or related areas (CROs), health institutions, health technology companies, etc. * You've worked in a top tier consulting firm with a strong emphasis on management consulting * You have a network of existing clients in the Life Sciences field * You've got deep strategic consulting experience including solving big issues on time and on budget Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted on 02/07/2026 and open for at least 3 days. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture () Role Location Annual Salary Range California $132,500 to $338,300 Cleveland $122,700 to $270,600 Colorado $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Washington $141,100 to $311,200 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement () Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. We are looking to grow our Integration Engineering team to help extend our reach across 7 categories in new and unprecedented ways!This is a high visibility, high ownership role that plays a crucial part in Merge's mission of powering integrations for all B2B companies. This role is perfect for someone who has a technical background and coding abilities, but also enjoys business-oriented problem solving at heart. We are looking for experienced engineers who are able to autonomously drive initiatives to improve the overall product experience. What you will do: • Own the technical strategy and execution lifecycle of integrations with our API providers - ideation, development, launch, and beyond, • Work cross-functionally with partnerships, engineering, post-sales, and product to deliver enterprise-grade integrations & expand Merge's coverage across 7 categories, • Internally advocate for Integration Engineering needs, and lead projects related to data quality and internal tooling, • 1+ years in engineering roles, preferably with startup exposure, • Strong technical understanding and problem solving, preferably in the form of a prior Computer Science background or other engineering orientation, • Prior experience with APIs and integrations is a plus, • Ability to manage responsibilities across different areas such as working cross functionally, debugging and building on APIs, or writing documentation, • Bias to action & preference for being hands on -- Integrations Engineers work on powering mission-critical integrations for our customers, so we're not afraid to jump in and become owners!, • Strong communication skills, adept at interfacing with different audiences and communicating complex technical conceptsCompensation, • The cash compensation range for this role is $115,000 - $150,000 Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup. * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients. * Cutting-edge tech frontier: You'll harness the latest generative AI models to craft conversational agents that transform healthcare communication, while driving innovation to push these technologies beyond their current limits. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage- we move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Prospect and qualify mid-market to enterprise opportunities by identifying and engaging high-value targets across health systems, specialty groups, and value-based care organizations * Own the full sales cycle by leading strategic deals from initial outreach through close, driving high-quality opportunities and engaging directly with executive decision-makers * Run sharp discovery using consultative value selling to uncover key operational challenges and identify where Clarion can deliver the most impact * Lead high-impact demos that clearly map Clarion's capabilities to customer pain points and demonstrate measurable ROI * Sell strategically to the C-suite by building consensus across stakeholders and leading complex, value-based negotiations * Drive predictable revenue through disciplined pipeline management and accurate forecasting with clear visibility into risks and next steps * Build the pipeline from outbound efforts, supplementing inbound leads sourced from Growth Associates * Collaborate cross-functionally with our Growth Lead to structure strategic pilots and ensure alignment on use cases and value delivery Requirements * 2-3 years of enterprise SaaS experience owning complex sales cycles from discovery to close, ideally in healthcare; experience with Conversational or Voice AI is a plus * Proven prospecting ability with track record of generating pipeline through cold calls, LinkedIn outreach, and email campaigns to executive decision-makers * Strong value-based selling skills with ability to sell to the C-suite, align cross-functional stakeholders, and lead multi-threaded deals * Experienced in tying product impact to business outcomes, negotiating based on ROI, and closing high-retention 6-figure contracts * Skilled at navigating legal and procurement processes while structuring strategic pilots that prove value * Highly organized in managing parallel deals, owning next steps, and maintaining clean forecasts and pipelines * Proficient in sales tools and methodologies, knows how to run an efficient sales process * Excited to work from our NYC office 5 days a week You are a good fit if * You’re strategic and forward-thinking, driving deals with intent and alignment on value. * You’re curious and customer-focused, mapping Clarion’s impact to each organization’s business goals. * You move with urgency and discipline, managing a clean pipeline and clear priorities. * You communicate with confidence, tailoring messages and leading with impact. * You’re mission-driven, motivated by improving patient access and supporting care teams. What we offer * Direct mentorship: Work closely with our founding team and experienced sales leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Impact at scale: Your work directly affects healthcare access for millions—every provider you bring onboard helps hundreds of patients get the care they need Interview Process At each stage, we decide within 24hrs and update you shortly after: * Intro Call (20 min) [Virtual]: Quick chat about your sales experience and what draws you to Clarion. * Discovery (45 min) [Virtual]: Live role-play simulating a discovery call with a healthcare executive. * Take-home Exercise: Create a strategic account plan for a target provider segment. * Final Rounds (3 hrs) [In-Person]: Visit our NYC office to meet the team, shadow a call, and present your strategy. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $250K - $300K

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? Merge is looking for an Engineering Manager to manage our growing team in our NYC office! What you will do: • Own and manage one of our core engineering teams of 5-10 engineers, creating a culture of quality, excellence, and growth, • Work cross-functionally with product, engineering, sales, finance, leadership, and other teams to execute company goals, • Build and grow the roadmap for your team while considering strategic direction, resource allocation, organizational alignment, and more, • 2+ years experience managing and hiring engineers on teams ranging from 5-10 reports, with 6+ total years of experience in fast paced engineering roles, • Experience managing a high-performance team of both junior and senior talent in fast paced, startup-like environments, • Familiarity with technologies, programming languages, and frameworks, such as Django, Python, React, Postgres, SQL, AWS, RDS, Docker, and Kubernetes, • Experience planning team roadmaps and goals as a product-minded engineering leader, • The cash compensation range for this role is $200,000-245,000. Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? Merge is seeking a Field Marketing Manager to lead the strategy and execution of marketing activities for North America, with support for our team in Berlin. We're looking for a passionate person to build relationships with internal and external stakeholders that understands how to drive early-stage pipeline as well as build programs to accelerate sales cycles and close business. The ideal candidate has experience running field events across established companies and startups. What will you be doing? • Execute on our event strategy ensuring we're getting in front of the right audience, generating leads, and reaching out to leads in a timely manner, • Extend the Merge brand across different event formats including in person conferences, virtual events, product launch events, influencer meetups, and more, • Define and measure field marketing success through key performance indicators (KPIs) such as ROI, lead generation, pipeline influence, and sales engagement, • Manage overall budget and driving high ROI of our events, • 3+ years of relevant Field Marketing experience across both established companies and startups with 3-5 years in the B2B SaaS space, • Strong relationship-builder who can collaborate effectively with sales, marketing, and product teams while maintaining a customer-focused approach, • Proven track record of executing creative, impactful field marketing programs for both executive and practitioner audiences with experience across diverse event types, • Ability to create and execute different types events from building brand awareness to generating demand, turning successful projects into repeatable programs, • Outstanding project management skills with excellent attention to detail and operational rigor—you set a high bar for quality, creativity, execution, and productivity, • Familiarity with sales processes and systems, with an outcome-driven and analytical mindset, • The cash compensation range for this role is $130,000 - $165,000, • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation packageBenefits, • Unlimited PTO + 10 company holidays, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job DescriptionSince 2009, The Dorm has been a mission-driven, client-centered mental health organization that has been bringing comprehensive, evidence-based treatment to young adults, ages 18-30. We are looking for a passionate licensed clinical senior therapist to join our multidisciplinary New York City team and contribute to our goal of making a difference. The Senior Therapist is an experienced clinician with three or more years of clinical practice. In addition to providing individual therapy, group therapy, and coaching to our young adults, the Senior Therapist has the opportunity to contribute to additional programmatic initiatives. With us, you’ll be part of the next frontier in mental health care with an integrative treatment model and outcomes research approved by a third-party validated Institutional Review Board (IRB). We blend individualized therapy and skills coaching, hands-on family work, group-based clinical support and a bustling community and social Clubhouse experience unseen elsewhere in our industry. With competitive salaries between $75,000 and $85,000 (based on background/experience) and a proud commitment to diversity in the workplace that affirms all races, genders and backgrounds, our strength is our community and we hope that includes you! What You Will Do: • Provides individual, group and family therapy for The Dorm clients and family members, as applicable., • Provides life-skills coaching off-site in the community and in clients’ apartments as clinically indicated., • Conducts Bio-Psycho-Social Assessments and comprehensive intakes of all prospective clients., • Maintains accurate and up to date charts that are in compliance with the expectations and standards outlined in The Dorm’s Policy and Procedure manual., • Participates in weekly supervision, group supervision, and co-facilitator supervision as indicated by direct supervisor., • Responsible for at least 25 hours of clinical work per week, • Provides clinical individual supervision to student interns and consulting staff as called upon by the Clinical Director., • Provides “co-facilitator” training as called upon by Clinical Director., • Participates in On-Call weekly coverage system on a rotating basis up to four times per year., • Master’s degree in social work, counseling or related program in psychology required., • State Licensure in social work or counseling required., • Spotlight: The Dorm Clinic. As a full time employee of The Dorm, our clinicians are invited to participate in The Dorm Clinic: our in-house group practice that provides clients and families continued individual psychotherapy. Our clinicians are compensated at a rate of $125/hr in addition to their full time salary and benefits!, • Full benefits including comprehensive medical, dental, vision and a 401K with up to 3% company match, fully vested after 3 years, • Flexible PTO - for a team that’s rested, recharged and feeling their best, • Free in-house clinical trainings, DEIB trainings and yearly spending allowance for continuing education credits (CEUs), • Long term treatment model: Form deep therapeutic alliances and be a bigger part of your clients’ journeys (avg client length of stay is 12 months), • Flexible, creative, team-based work environment in the heart of NYC and in an inspiring, centrally-located therapeutic setting, • Limitless opportunities to expand your therapeutic impact: work with our research team; support our groundbreaking student scholarship program; be featured in the media on topics that matter; or pilot a new treatment group — At The Dorm, it's all possible!

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Product Manager to lead initiatives that are foundational to delivering seamless, intelligent, and scalable experiences across our growing network of locations. You will own core parts of our platform that power critical growth drivers of our business - from novel consumer experiences to core infrastructure that ensure smooth operations and deliver values to our operators. We are looking for a systems thinker who can operate across both product strategy and technical execution. You thrive in ambiguous environments, can translate complex operational or technical needs into clear product requirements, and are motivated by solving problems that blend software, hardware, and physical space. What you'll do • Define and drive the product vision for core platform capabilities that enable a seamless and scalable experience across the Metropolis ecosystem, • Translate business and operational goals into clear, prioritized roadmaps and measurable outcomes, • Partner with cross-functional stakeholders to identify bottlenecks and opportunities to improve performance, reliability, and scalability, • Lead product discovery and delivery using data, experimentation, and user feedback, • Define clear product requirements, documentation, and success metrics to align stakeholders and guide execution, • Work with Engineering to ensure product design is efficient, maintainable, and aligned with long-term architecture, • Partner with Operations to monitor real-world performance, resolve issues, and continuously improve site and system health, • Manage launches end-to-end, from QA and testing to rollout and adoption, • Define, monitor, and drive key metrics that push our business forwardWhat we're looking for, • Bachelor's degree or equivalent experience, • 5+ years of product management experience, • Proven ability to drive large, cross-functional projects from concept through delivery, • Strong analytical and problem-solving skills; adept at interpreting data and identifying actionable insights, • Excellent written and verbal communication skills, with the ability to simplify complex ideas for diverse audiences, • Experience collaborating closely with engineering and operations teams, • High attention to detail and ability to prioritize effectivelyWhile not required, these are a plus: Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. What will you be doing? • Own end to end recruiting for all NYC based roles, partnering closely with hiring managers and executives., • Drive full lifecycle searches across both technical (Engineering, Product, Data, Design) and GTM (Sales, Marketing, Customer Success, Ops) functions., • Proactively source top talent and build strong pipelines in competitive West Coast markets., • Run rigorous calibration and closing processes, including navigating complex compensation and equity conversations., • Deliver an exceptional candidate experience while elevating Merge's brand in SF., • Use recruiting data and insights to improve hiring speed, quality, and overall process efficiency., • 5+ years of full cycle recruiting experience across both technical and GTM roles., • Startup experience in a fast paced, high ownership environment., • Proven track record of sourcing, closing, and hiring high quality talent., • Strong ability to manage multiple searches simultaneously with attention to detail., • High ownership, scrappy execution, and comfort operating in ambiguity., • Experience with Greenhouse, Ashby, LinkedIn Recruiter, Modernloop, Brighthire, or similar tools. Compensation • The cash compensation range for this role is $125,000 - $160,000, • Unlimited PTO + 10 company holidays, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. Why Join us? At Voyant, you’ll help build some of the world’s most complex silicon photonics chips, reimagined for high-performance 3D sensing. Our chips are at the heart of our LiDAR systems, and your work has a direct impact on our core product and roadmap. As a Senior Silicon Photonics Engineer, you’ll play a key role in defining photonic architecture and developing new passive and active components. In your first year, you’ll own simulations, and design system PICs, working hands-on from concept through implementation. You’ll join a small, fast-growing team that collaborates tightly across photonics, systems, packaging, and electronics. The role offers both deep technical ownership and real growth potential — from leading component design to eventually overseeing full tapeout efforts across disciplines. If you're excited by cutting-edge technology and meaningful challenges, this is a rare opportunity to shape a core system in a company that’s bringing photonics innovation to market. Key Responsibilities: * Design and simulate photonic components and system-level functionality and performance * Design schematics, draw layout, as well as work with layout engineers to create photonic systems and component test structures. * Own and drive complex tapeouts to completion on time * Work closely with external manufacturing partners to inform component design, process integration, and performance monitoring. * Develop component and system-level optical testing plans and collaborate with the test team to develop optoelectronic testing setups, perform hands-on photonic component and optical system-level testing. * Work with the product team to transition/scale testing for performance evaluation. * Collaborate with cross-functional teams to integrate our photonic chips into the LIDAR system and evaluate their performance * Contribute to the expansion of our IP portfolio through patent filing Qualifications: * Ph.D. with research in silicon photonics with 2+ years’ experience * Proven track record leading one or more successful silicon photonics foundry tapeouts * Strong understanding of planar waveguide optics, both passive components such as waveguides, multiplexers/demultiplexers, tapers, couplers and active such as waveguide detectors, lasers and optical amplifiers * Strong understanding of photonic system-level design concerns * Strong understanding of photonic component-level design concerns * Experience in photonic fabrication * Good understanding of CMOS manufacturing process steps and constraints on the design of photonic devices * Proficient with mainstream photonic components and systems simulation packages such as Lumerical, Tidy3D and COMSOL * Proficient with complex optoelectronic lab testing techniques and equipment, necessary to validate designs, including high speed detectors, oscilloscopes, spectrum analyzers, precision positioning setups * Collaborative in a multi disciplinary startup environment, ability to work both with local and remote team members as well as with our manufacturing partners * Independent, analytical thinker, comfortable in a fast-paced dynamic frontier technology environment Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, AI Studio, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About the Role We are seeking an experienced Licensing Executive to join our legal team to lead the sourcing, licensing, and partnership for high-value content (e.g., books, journals, research papers, academic datasets, and multimedia) for AI training, retrieval-augmented generation (RAG) and distribution partnerships. In this role, you will drive the acquisition of premium content, negotiate complex multi-pronged agreements, and build long-term relationships with publishers, universities, research institutions, and data providers. You will work closely with cross-functional teams to ensure access to quality and relevant data and content sources that are aligned with Mistral AI’s interests, and enable innovative use of data and content. This role is ideal for a results-driven negotiator and strategic thinker with a passion for AI, academic content, and ethical data practices, and a proven track record of closing high-stakes deals in the publishing, technology, or research sectors. Key Responsibilities Strategic Sourcing & Pipeline Development• Build and manage a robust pipeline of high-quality content (e.g., STEM, academic, robotics, multimedia).• Qualify and vet data & content providers to ensure compliance with legal (copyright, data provenance) and business (relevance, cost, scalability) requirements.• Provide regular reports and analytics on procurement activities, investments, and performance to support data-driven decision-making. Licensing & Partnership Management• Serve as a key point of contact for external partners (e.g., publishers, universities, and research institutions) to understand their goals and interests, addressing their needs and priorities.• Develop multi-pronged relationships (e.g., revenue-sharing, co-development) to create long-term collaboration.• Develop new programs that promote fair compensation and sustainability for content creators, owners and curators. Cross-Functional Collaboration• Collaborate with internal stakeholders (e.g., Science, Product, and Go To Market teams) to understand their needs and ensure procurement activities support their objectives. • Evaluate "make vs. buy" options for content sourcing in collaboration with the Human Data team, balancing data development with external access/licensing opportunities Required Qualifications and Skills • Proven track record of negotiating and closing complex deals ($10M+), including revenue-sharing, licensing, or co-development agreements.• Deep understanding of AI training data ecosystems and ability to translate this into business terms.• Legal acumen: Understanding of legal concepts involved in data acquisition and content licensing. • Strong STEM background (e.g., degree in Science, Technology, Engineering, Mathematics, or related field) and a passion for academic content and research.• Excellent communication and stakeholder management skills (experience negotiating with C-level stakeholders), with the ability to build trust and influence partners at all levels.• Business acumen with experience in market analysis and financial modeling (e.g., DCF analysis) • Fluency in English and French; additional languages (e.g., German) are a plus.• Knowledge of global copyright laws.• Experience working in a fast-paced, global environment, with distributed teams. Nice-to-Have Skills • Existing network in the publishing, academic, or research communities (e.g., relationships with major publishers, universities, or data providers).• Experience with AI training data, including familiarity with pretraining, RAG, or synthetic data generation.• Direct experience working for a tech company sourcing data/content for LLMs• Technical literacy in data formats (e.g., JSON, XML), APIs, or content management systems. Benefits \uD83D\uDCB0 Competitive cash salary and equity\uD83E\uDD55 Daily lunch vouchers\uD83E\uDD4E Monthly contribution to a Gympass subscription\uD83D\uDEB4 Monthly contribution to a mobility pass\uD83E\uDDD1️‍⚕️ Full health insurance for you and your family\uD83C\uDF7C Generous parental leave policy\uD83C\uDF0E Visa sponsorship

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Merge is poised to power all B2B integrations, and in doing so, are powering data movement for some of the most secure companies in the world. Working with these powerhouses requires us to follow industry leading security practices and constantly protect ourselves. As the Director of Security at Merge, you will manage our security programs, including infrastructure, compliance, and security automation. While you don't need specific experience with all of the above, we'd expect you to be excited to learn and grow, and tackle any challenges that may come your way. What you will do: • Create and drive the security roadmap, • Manage our compliance automation programs (SOC 2, ISO 27001, HIPAA, etc.). We've already achieved these using Drata, and while you have a team to support you, you will take the lead., • Ensure all engineers and employees of Merge treat security as a core part of our practices, • Manage our Bug Bounty Program, • Implement security controls across Merge, from infrastructure to CI, • Implement and run manual and automated security practices to mitigate vulnerabilities, • 4-6+ years of security engineering experience, • Ownership or leadership within areas of security at previous organizations, infosec being a plus, • An overall excitement around building a more secure engineering function and organization, • Ability to manage security programs, • Experience with and a desire to code in at least one major programming language, • A thorough understanding of networking and infrastructure, including load balancing, VPNs, Zero Trust, HTTPS, DNS, etc., • The cash compensation range for this role is $200,000 - $240,000, • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job Description Since 2009, The Dorm has been a mission-driven, client-centered mental health organization that has been bringing comprehensive, evidence-based treatment to young adults, ages 18-30. We are looking for a passionate licensed clinical therapist to join our multidisciplinary New York City team and contribute to our goal of making a difference. Our therapists offer one-on-one individual therapy, coaching, and group therapy to help clients explore recurring issues and life patterns that interfere with their ability to lead lives of independence, meaning, and purpose. Therapists at The Dorm are "generalists" comfortable working with young adults who have varied mental health issues at different levels of acuity. With us, you’ll be part of the next frontier in mental health care with an integrative treatment model and outcomes research approved by a third-party validated Institutional Review Board (IRB). We blend individualized therapy and skills coaching, hands-on family work, group-based clinical support and a bustling community and social Clubhouse experience unseen elsewhere in our industry. With competitive salaries between $65,000 and $75,000 (based on background/experience) and a proud commitment to diversity in the workplace that affirms all races, genders and backgrounds, our strength is our community and we hope that includes you! What You Will Do: * Provides individual, group and family therapy for The Dorm clients and family members, as applicable. * Provides life-skills coaching off-site in the community and in clients’ apartments as clinically indicated. * Conducts Bio-Psycho-Social Assessments and comprehensive intakes of all prospective clients. * Maintains accurate and up to date charts that are in compliance with the expectations and standards outlined in The Dorm’s Policy and Procedure manual. * Participates in weekly supervision, group supervision, and co-facilitator supervision as indicated by direct supervisor. * Responsible for at least 25 hours of clinical work per week * Participates in On-Call weekly coverage system on a rotating basis up to four times per year. * Work up to 2 evenings per week What You Need To Qualify: * Master’s degree in social work, counseling or related program in psychology required. * State Licensure in social work or counseling required. * The ideal candidate has at least 1-3 years of related experience in a clinical setting with adolescents or young adults. What We Offer: * Spotlight: The Dorm Clinic. As a full time employee of The Dorm, our clinicians are invited to participate in The Dorm Clinic: our in-house group practice that provides clients and families continued individual psychotherapy. Our clinicians are compensated at a rate of $125/hr in addition to their full time salary and benefits! * Flexible PTO - for a team that’s rested, recharged and feeling their best * Full benefits including comprehensive medical, dental, vision and a 401K with up to 3% company match, fully vested after 3 years * Free in-house clinical trainings, DEIB trainings and yearly spending allowance for continuing education credits (CEUs) * Long term treatment model: Form deep therapeutic alliances and be a bigger part of your clients’ journeys (average client length of stay is 12 months) * Flexible, creative, team-based work environment in the heart of NYC and in an inspiring, centrally-located therapeutic setting * Limitless opportunities to expand your therapeutic impact: work with our research team; support our groundbreaking student scholarship program; be featured in the media on topics that matter; or pilot a new treatment group — At The Dorm, it's all possible! * We are family-owned and operated and proud to be a trusted, CARF-accredited organization The Dorm is an equal opportunity employer. We consider applicants for all positions on the basis of merit, qualifications and business needs, and without regard to race, color, national origin, religion, sex, gender identity, age, disability, alienage or citizenship status, ancestry, marital status, partnership status, creed, sexual and reproductive health decisions, genetic predisposition or carrier status, sexual orientation, uniformed service or veteran status, familial status, status as a victim of domestic violence or any other status or characteristic protected by applicable law.

Job DescriptionAbout Clarion At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care. We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company. Founded by a Stanford/Harvard-trained physician who was on the founding team of Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication. We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered. Why Join Us? * Early-stage with strong market validation: We are rapidly growing and offering the high-impact environment of an early-stage startup * Solving a massive healthcare challenge: We're addressing a critical problem in healthcare communication that affects millions of patients * Cutting-edge tech frontier: You'll design both visual and voice experiences for breakthrough AI technology that's transforming healthcare communication * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture What you'll be working on * Own our entire design language: Define Clarion's brand identity across all touchpoints—from marketing website to product interfaces to sales materials—ensuring we stand out in healthcare * Design AI voice experiences that feel human: Craft conversation flows, dialogue scripts, and interaction patterns that make our AI agents sound natural, empathetic, and trustworthy to patients * Create intuitive product interfaces: Build dashboards and tools that make complex AI capabilities feel simple for overwhelmed healthcare teams * Bridge the visual and auditory: Design cohesive experiences where what customers see perfectly complements what patients hear during AI conversations * Build our design system from scratch: Establish visual guidelines, component libraries, and voice interaction patterns that scale as we grow * Ship brand experiences at startup speed: Create everything from pitch decks to product demos to conference materials that make healthcare buyers stop and pay attention Requirements * 3+ years of design experience: Portfolio showing both brand and product design work, with ability to create cohesive experiences across mediums * Full-stack designer: Comfortable moving from brand strategy to UI design to copywriting within the same day * Systems thinker: Can create scalable design frameworks for both visual and conversational interfaces * Figma fluent: Expert-level proficiency in design tools, with ability to create everything from logos to prototypes * In-person collaboration: Excited to work from our NYC office daily You are a good fit if * You believe great design spans all senses—what people see, hear, and feel when interacting with a product * You're fascinated by making AI conversations feel natural and human, not robotic or scripted * You can write copy that sounds like a compassionate healthcare worker, not a tech company * You want to own both how Clarion looks and how it sounds to millions of patients * You're excited to define a brand that stands out in the sea of sterile healthcare tech * You measure success by both user delight and business impact Interesting Design Challenges * Make AI feel human: Design voice scripts and interfaces that help patients trust they're getting real help, not talking to a robot * Smooth handoffs between AI and staff: Create seamless transitions when a conversation needs to move from AI to a human without confusing or frustrating the patient * Simplify complex healthcare workflows: Turn chaotic medical processes into clean, intuitive designs that busy staff can use without training * Show conversations clearly: Design dashboards that help staff quickly understand what happened in AI-patient calls and spot important issues * Give staff the right amount of control: Build systems that let healthcare teams oversee AI agents without creating extra work or slowing things down * Connect what's heard with what's seen: Make sure the AI's voice conversations match perfectly with what staff see on their screens What we offer * Direct mentorship: Work closely with our founding team and shape both product and brand direction from day one * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, daily team lunches * Team culture: Quarterly retreats and monthly team events that build real connections in our close-knit NYC team * Impact at scale: Your designs—both visual and voice—will directly improve healthcare access for millions Interview Process We'll get back to you within 24 hours after each step: * First Chat (20 min) [Virtual]: Quick conversation about your design philosophy and experience in complex product spaces * Portfolio Review (45 min) [Virtual]: Walk us through 2-3 projects that showcase your design process from research to shipped product * Design Exercise (Take-home): Tackle a real challenge we're facing around AI-patient communication interfaces * Team Day (Half-day) [In-Person]: Visit our NYC office for a collaborative design session, meet the team, and see how we work together If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $120K - $160K

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Merge is looking for a driven Strategic Finance Lead to act as a primary partner to our executive team. At Merge, Strategic Finance is a core operational unit: we don't just report on the business; we provide the analytical framework for every major decision we make. You will be responsible for leading the team that manages investor relations, Board communications, M&A, long-range planning and strategic initiatives. The ideal candidate is a disciplined leader with a "right is right" mentality. You are a player-coach who can still build a complex model from scratch but excels at managing a team, setting a high pace, and acting as a trusted advisor to the executive suite. We need an objective leader with the resolve to navigate uncertainty and the management skills to ensure their team delivers airtight, high-stakes work in a fast-paced environment. What you will do: • Function Leadership: Lead and scale the Strategic Finance team, overseeing the end-to-end execution of company-wide financial planning and strategic initiatives, • Executive & Board Partnership: Own the narrative for Board materials and investor relations, acting as a primary point of contact for the executive team, • Cross-Functional Strategy: Drive high-impact projects across all business units, • Capital & M&A Strategy: Lead capital raising efforts and evaluate M&A opportunities that align with our long-term roadmap, • Performance Architecture: Define and manage the company's KPI framework, building the dashboards and deep-dives necessary to track and improve performance The ideal candidate will have: • Professional Tenor: At least 8 years of total experience, including a foundation in Investment Banking or Management Consulting (2+ years), • Management Expertise: Proven track record of managing and developing a Strategic Finance or BizOps team at a high-growth startup, • Technical & Analytical Rigor: Expert-level Excel and modeling skills with a "right is right" mentality and unyielding attention to detail, • SaaS Fluency: Deep understanding of enterprise SaaS unit economics and the operational levers that drive ARR and retention, • Strategic Execution: Demonstrated experience leading high-visibility projects from initial scoping through to final reporting and implementation Compensation • The cash compensation range for this role is $185,000 - $210,000, • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, and certifications. In addition to cash compensation, all full time employees receive an equity compensation packageBenefits, • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job Description About Handshake Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why Join Handshake Now * Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel * Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions * Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others * Build a massive, fast-growing business with billions in revenue About the Role Handshake AI is scaling rapidly to support hundreds of thousands of Fellows working across high-volume, fast-evolving AI projects and frontier lab customers. The Fellow Experience (FEXP) team is the frontline engine that ensures Fellows receive timely, accurate, and high-quality support. We are seeking a Fellow Experience Manager to lead a US-based team of Fellow Experience Specialists (support agents) responsible for reactive ticket support. This role owns team performance, quality, and health within a high-volume, SLA-driven environment. FEXP operates across three geographies — the United States, India, and Guatemala — and requires tight coordination across time zones to ensure continuous coverage and consistent standards. This manager will play a critical role in maintaining operational stability, driving accountability, and leading through ambiguity as product changes and volume spikes occur. This is a hands-on people leadership role in a fast-paced AI environment. You will ensure your team consistently meets SLAs, quality standards, and CSAT targets while maintaining morale and resilience during rapid change. What You’ll Own Team Performance & SLA Accountability * Own your team’s delivery against SLAs, quality standards, and CSAT targets * Ensure tickets are handled accurately, efficiently, and with strong Fellow communication * Monitor productivity, quality scores, backlog, and coverage daily * Proactively adjust staffing and coverage during volume spikes * Maintain operational stability during incidents or product changes Coaching, Development & Team Health * Coach Fellow Experience Specialists on performance fundamentals, documentation hygiene, and escalation judgment * Run consistent 1:1s, performance reviews, and structured feedback cycles * Identifies team health issues early and intervenes proactively * Manage underperformance, including structured improvement plans * Maintain morale and psychological safety within a high-intensity environment Escalations & Incident Stabilization * Handle complex or high-risk Fellow escalations independently * Provide structured updates during operational disruptions * Stabilize team performance during periods of chaos or unclear product direction * Ensure escalation paths are clear and followed Documentation & Change Readiness * Ensure SOPs, macros, and internal documentation are updated rapidly as product changes occur * Identify documentation gaps and close them quickly * Drive team adoption of new workflows within hours or days — not weeks * Reinforce documentation discipline as a core operating principle Cross-Geo & Cross-Functional Collaboration * Coordinate closely with other FEXP managers in the US, India, and Guatemala to ensure global coverage continuity * Partner with other teams on training updates and workflow adjustments * Surface recurring Fellow pain points and product inconsistencies * Provide structured, actionable insights (not just updates) to stakeholders What We’re Looking For Experience * 5+ years in high-volume customer support startup environments * 3+ years managing frontline support agents (FTE and/or contractors) * Experience in fast-scaling, rapidly changing product environments (AI or technical experience preferred) * Calm and decisive in high-volume, high-pressure environments * Demonstrated ownership of SLAs, CSAT, and QA performance * Deep working knowledge of support tooling (Zendesk or similar) * Exceptional EQ with a strong sense of empathy with both team members and Fellows * Strong judgment under ambiguity * Bias toward action and operational clarity We Offer Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits atjoinhandshake.com/careers. Compensation Range: $110K - $130K

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? You'll be the voice and face of Merge for the AI developer community, lighting up the builders who want to ship real products with agents, LLMs, and integrations. This role is about driving awareness, activation, and long-term love for Merge: helping developers get onboarded quickly, build confidently, and keep coming back as their use cases scale. This is a hands-on, execution-focused role at the intersection of community, content, and real technical work. You'll write docs, build sample apps, create tutorials and demos, and show the world what's possible with Merge through videos, talks, and developer-first storytelling. You'll have a senior advisor to partner with, but success comes from being curious, self-directed, and comfortable thriving in ambiguity. What will you be doing? Content and documentation • Write quick start guides, tutorials, and how-to content for Agent Handler and Unified, • Build small sample applications that demonstrate real integration patterns developers can copy and adapt, • Create short-form video content including demos, product walkthroughs, and quick tutorials for YouTube and social distribution on X., • Identify gaps in existing docs by testing the developer journey yourself and logging what breaks, • Monitor developer forums and community channels for common friction points and surface them internally, • Own and execute community channel strategy across Discord, developer forums, and social platforms, including growing presence and defining engagement playbooks., • Help amplify Merge content across relevant developer communities and events without being spammy about it, • Test real-world use cases against the product and document what works and what does not, • Channel developer feedback from docs, community, and content back to the product team, • Create eye catching videos for X that entice developers to learn more Must have • Bachelor's degree in Computer Science or a related field and 3 years of experience in the job offered or in a Developer Relations Engineer-related occupation. Alternatively, will accept a Master's degree in Marketing, Business Administration, Computer Science or a related field, and 1 year of experience in the job offered or in a Developer Relations Engineer-related occupation., • Some professional or project experience building with APIs. You should be comfortable reading API docs, making API calls, and debugging authentication issues without much help., • Exposure to AI agent frameworks, LLMs, or tool-calling patterns. You do not need to be an expert, but knowing what an agent is helps, • The ability to write clearly about technical topics without being dry. You do not need to be a poet, but you should be able to explain a concept to a developer who has never seen it before., • Genuine interest in the developer experience. You notice when something is confusing and you want to fix it., • Comfort working asynchronously in a fast-moving environment where things change frequently, • Experience with content formats like video walkthroughs, demos, or screencasts, • The cash compensation range for this role is $160,000 - $185,000, • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation packageBenefits, • Unlimited PTO + 10 company holidays, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend

Job DescriptionJourney Clinical is on a mission to transform the growing mental health crisis by accelerating the adoption of frontier treatments that lead to lasting improvements in clinical outcomes. We have built a turnkey healthtech platform to safely and effectively expand access to a powerful modality known as Psychedelic-Assisted Psychotherapy, starting with Ketamine-Assisted Psychotherapy (KAP). In our patient-centered collaborative care model, licensed psychotherapists in the network take on the psychotherapy, while Journey Clinical's in-house medical team takes on patient eligibility, treatment plan and outcome monitoring. Our platform gives psychotherapists passionate about PAP the infrastructure and support required to become empowered KAP providers, while enabling higher standards of patient care and enhanced clinical outcomes. We’re looking for a Senior Product Manager who can lead high-impact initiatives across our therapist and patient experiences. This person will own a critical part of the Journey flywheel, while building the systems that connect marketing, product, and clinical operations into one cohesive growth engine. This is a highly cross-functional, strategic, and analytical position that blends product strategy, growth experimentation, and operational design. You’ll work closely with our clinical, marketing, data, and engineering teams to design scalable, delightful experiences that move the metrics that matter: activation rate, therapist and patient LTV, and overall marketplace efficiency.What You'll Do • Own product strategy for one or more key growth pillars (e.g., Therapist Activation, Patient Conversion, or Monetization), from problem definition through launch and optimization., • Deeply understand user journeys across therapists, patients, and internal teams by identifying friction points and designing product-led solutions that increase adoption and throughput., • Partner cross-functionally with Engineering, Marketing, Clinical Ops, and Data Science, and Success Teams to align roadmaps, ensure data integrity, and deliver measurable business impact., • Use data to drive decisions — define metrics, run experiments, and synthesize insights from qualitative and quantitative sources to prioritize work with the highest ROI., • Collaborate with team to integrate agentic workflows that reduce manual processes and enhance the therapist and patient experience., • Translate business goals into product requirements by writing strategic documents, specs, and success metrics that connect strategic objectives to tangible outcomes., • Contribute to the evolution of the product org by helping us refine our product development process, rituals, and culture as we scale.Who You Are, • 5+ years of experience in product management at a growth-stage SaaS, marketplace, or healthtech company., • Strong analytical and systems thinking skills; comfortable building models, mapping funnels, and diagnosing conversion levers across a multi-sided ecosystem., • Equally comfortable in the boardroom and the backlog. You can translate high-level business objectives into detailed execution plans., • Experience working in cross-functional environments with marketing, sales, operations, and data teams., • Track record of delivering measurable impact (activation, retention, revenue growth)., • Familiarity with AI tools, low-code/no-code systems, or automation platforms (Zapier, Airtable, Snowflake, HubSpot, etc.) is a plus., • Deep empathy for therapists and patients, with a desire to improve access to mental health care., • Competitive salary and equity, • Full medical/dental/vision coverage, • Unlimited PTO (all employees are strongly encouraged to take at least 18 days off per year; most of us take 25+ including mental health days and moon days), • Flexible working hours, • Rapid career growth and the opportunity to build under you overtime, • Pioneer a new industry with a new health tech business model (i.e."Innovation on innovation") with direct access to industry leading experts

Job Description WHO WE ARE Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people with severe mental illness. We build and operate high-acuity, in-person clinics nationally. Our model integrates psychiatry, therapy, primary care, dietitians, and community support under one roof. It has proven itself as the most effective in the country, which is why we collaborate with leading health systems including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit to extend our care to where it's needed most. But what makes us fundamentally different is that we are also building the science and technology layer that this field has never had. We are developing proprietary clinical protocols, designing novel measurement science, and engineering an AI data science platform purpose-built for the complexity of severe mental illness. Every patient interaction generates data that feeds back into our protocols, our technology, and our understanding of what actually works. We reduce hospitalizations. We improve stability. We keep people alive and in their communities. We help our members gain purpose and meaning. We're Hiring! Amae Health is seeking an energetic and resourceful Community Liaison to join our Community Engagement Team. This full-time role requires a home address within the New York metro region. The Opportunity: We're actively expanding in the New York City market and seeking a dedicated Community Liaison to support this growth. In this role, you'll build and maintain strong relationships with community stakeholders, advocate for our innovative care model, and champion Amae's mission to deliver compassionate, comprehensive mental health services to individuals with serious mental illness. You'll be deeply embedded in the community, conducting outreach to local and regional partners, including healthcare providers, hospitals, community agencies, correctional facilities, treatment centers, and other referral sources, to promote Amae's integrated care model and develop sustainable partnerships. As an ambassador for Amae Health, you'll thrive in a dynamic environment, balancing tasks like engaging hospital systems and providers, coordinating complex care transitions, responding to urgent referrals, visiting emergency departments, and tracking key details to ensure seamless patient experiences. Your success will come from blending strategic relationship-building with hands-on coordination and problem-solving to strengthen Amae's community presence. What You Will Work On: Community Outreach & Referral Partner Development - 80% • Actively manage and grow patient referrals in your region through systematic outreach to existing provider partners, • Identify and develop new potential referral sources to grow Amae's presence and ensure a steady pipeline of patient referrals, • Coordinate rapid responses to urgent patient situations, collaborating with hospital systems, social workers, and providers to ensure timely care transitions., • Work closely with clinical staff to ensure that referred patients are connected with the appropriate care and support, • Track outreach activity, referral outcomes, and pipeline in CRM to meet or exceed enrollment targets, • Develop quarterly market plans in collaboration with clinical and leadership teams, • Participate in weekly team meetings with enrollment leads and market-based staff, • You've built relationships professionally and know how to open doors, follow through, and keep them open over time, • You care about the people this work serves, and that shows up in how you communicate and problem-solve, • You take ownership of your market without needing constant direction, but you know when to pull in your team, • You stay organized in the field, keep your documentation current, and track what's working so you can do more of it, • You're comfortable in fast-moving, emotionally complex situations and can shift easily between a hospital hallway and a family consultation, • 3+ years of client or customer-facing experience (e.g. in-person consulting, cold calling, digital outreach, business development, etc.), with defined engagement targets., • Proven track record of building a referral base and relationships, such as business development, sales, community outreach, or referral management, • Knowledge of, and passion for, mental health and wellness, • Excellent oral and written communication skills, including strong public speaking ability, • Reliable transportation and ability to commute throughout the five boroughs via public transit, rideshare, or personal vehicle, • Most healthcare companies ask you to optimize an existing system. We're asking you to build things that have never existed., • A national care delivery model engineered from the ground up for the highest-acuity patients in behavioral health., • Precision medicine for SMI: collecting multimodal data across clinical, behavioral, and social dimensions to develop individualized treatment approaches for a population that has never had them., • A clinical operating system that synthesizes longitudinal data, real-time patient signals, and purpose-built clinical tools into a single decision layer. Nothing like it exists today., • Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more. This is not incremental research. This is building the scientific foundation for an entire category of care., • A partnership model with the country's leading health systems that proves coordinated SMI care can work at scale., • We pay competitively. Base salary reflects role, level, and geography. Total compensation includes valuable equity, comprehensive medical/dental/vision, unlimited PTO, parental leave, and programs built around employee well-being. We'll share specifics during the interview process. More About Amae:'Amae', pronounced 'Ah-mai', is a Japanese concept meaning the need to be in good favor with, and the ability to depend on, the people around oneself. It reflects our core belief that a strong support system is essential to build people up, strengthen their will to carry on and even to thrive in life. This mentality applies across our whole company – from the patients we serve to the team we're building. WHAT WE VALUE We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.Amae Health is an equal opportunity employer and encourages all applicants from every background and life experience to apply.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Director of Product Operations to drive the rollout, adoption, and measurement of the company's products. This role blends operational excellence with analytical rigor – ensuring smooth execution from concept to launch while feeding the voice of the customer back into the product funnel. You and your team will lead cross-functional releases, quantify value creation, and turn customer insights into continuous product and process improvement. What you'll do • Act as the centralized owner of product releases, fostering strong relationships with product management, engineering, tech ops, design, marketing, operations, analytics, finance, and other relevant teams to ensure effective coordination and alignment both pre and post product feature deployment, • Lead the Product Operations team (currently four, with potential to scale), including two embedded Product Operations Managers executing product releases & analysis, and a product support team of two resolving internal Product Support inbound and generating insights from Operations and other key stakeholders, • Develop and execute project plans, timelines, and milestones to ensure successful and timely product releases, while proactively identifying and mitigating risks that may impact product development or delivery, • Document and maintain all training, policies, and procedures related to the operation of a new/improved product or feature, • Partner with Analytics and Data Engineering to define core product KPIs, instrument metrics, and publish dashboards for ongoing health and feature adoption, • Build post-release impact review frameworks (e.g., adoption metrics, GPV/ARR attribution models) to measure realized value, identify deltas from forecasts, and feed learnings back into future roadmap decisions, • Surface, synthesize, and act on product feedback from internal teams and end users, ensuring timely resolution of questions, bugs, and escalations while improving the scalability and efficiency of Product support, • Execute go-to-market plans through timely and effective product launches, launch management, and user adoption campaigns, • Establish robust pre- and post-launch analytics to estimate, track, and validate business and customer impact—linking product adoption, satisfaction, and revenue outcomes to measurable value and continuous roadmap refinement, • Strengthen continuous feedback loops between users, customer-facing teams, and Product by improving how qualitative insights (support data, feature requests, and other feedback) are captured, synthesized, and acted on to enable faster learning and customer-informed iterationWhat we're looking for, • Bachelor's degree in business, marketing, or a related field; or equivalent experience, • Proven experience (8+ years) in product management or product operations, • Strong understanding of the B2B and B2C technology landscape, with demonstrated success leading rollout of technology products and services across a large network, • Extensive knowledge of the product development process and success metrics, • Exceptional leadership and management skills, with the ability to effectively collaborate and influence cross-functional teams, • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making, • Excellent communication and presentation skills, with the ability to articulate complex concepts in a clear and compelling mannerWhile not required, these are a plus:, • MBA, • Experience within an operationally-intensive environment Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Technical Support Engineer at Merge As a Technical Support Engineer, you will be responsible for providing high-quality support to our customers and prospects, including troubleshooting technical issues and assisting with integrating Merge into our customers' products. You'll work closely with engineering and platform teams to debug issues, squash bugs, and prioritize customer requests. The ideal candidate will have a strong technical background with experience with APIs, excellent problem-solving, communication, and customer service skills. Your work as a Technical Support Engineer will be of high value and have a direct impact on the bottom line of Merge's product offerings to our customers, with increased levels of internal and external visibility. What you will do: • Provide top-tier support to customers via online chat, email, Slack/Teams and screen-share meetings., • Troubleshoot technical issues and drive creative solutions to customers in a timely manner., • Contribute to establishing and maintaining the integration of Merge into our customers' product, • Partner with Engineering, Product and Customer Success teams to resolve incidents and advocate for feature requests., • Create and maintain help center guides, runbooks, and internal notes to strengthen our knowledge base., • Help lay the foundation for a successful and rapidly growing support engineering team!, • 2+ years of experience in technical support, customer facing engineering, or solutions engineering roles., • Computer science background or other technical/quantitative orientation., • Excellent verbal and written communication skills., • Strong work ethic, a customer-first mindset, goal-oriented approach, and great attention to detail, • Strong problem-solving skills; experience with scripting for debugging and one-off analyses is a plus., • Prior startup experience is a plus Compensation • The cash compensation range for this role is $120,000 - $140,000, • Unlimited PTO + 10 company holidays, • Quality health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • Free dinner when working past 7pm

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Technical Support Engineer at Merge As a Technical Support Engineering Manager, you will lead and grow a team of Technical Support Engineers responsible for delivering world-class support to Merge customers and prospects. Your team will troubleshoot technical issues, guide customers through integrating Merge into their products, and act as a critical bridge between customers, engineering, and product teams. In this role, you'll combine technical expertise, operational leadership, and people management to ensure our customers have an exceptional experience when building on Merge. You will help scale our support function, build efficient support processes, and develop a high-performing team capable of solving complex technical problems. The ideal candidate has experience managing technical support or solutions engineering teams in a high-growth SaaS environment, a strong understanding of APIs and integrations, and a passion for building systems and teams that deliver outstanding customer outcomes. Your work will directly impact customer satisfaction, product quality, and the overall success of Merge's platform. Please note this is an in office role 5 days per week in either New York City or San Francisco. What will you be doing? • Provide top-tier support to customers via online chat, email, Slack/Teams and screen-share meetings., • Troubleshoot technical issues and drive creative solutions to customers in a timely manner., • Contribute to establishing and maintaining the integration of Merge into our customers' product, • Partner with Engineering, Product and Customer Success teams to resolve incidents and advocate for feature requests., • Create and maintain help center guides, runbooks, and internal notes to strengthen our knowledge base., • Help lay the foundation for a successful and rapidly growing support engineering team!, • 5+ years of experience in technical support engineering, solutions engineering, or developer support roles., • 2+ years of experience managing or leading technical support or solutions teams., • Strong technical background with experience working with APIs, integrations, and debugging customer implementations., • Experience supporting technical products used by developers or product teams., • Excellent verbal and written communication skills., • Demonstrated ability to manage incidents, escalations, and cross-functional collaboration., • Strong operational mindset with experience building processes, documentation, or support tooling., • The cash compensation range for this role is $151,000-176,000, • Unlimited PTO + 10 company holidays, • Quality health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • Free dinner when working past 7pm

Job Description This position is with NoGood's sister company, Goodie AI. Read on to learn more. About Goodie Goodie is a pioneering Answer Engine Optimization (AEO) platform. We help the world’s leading brands monitor, measure, and optimize their visibility across AI search and LLMs - from ChatGPT to Gemini, Perplexity, Claude, Google AI Mode, and beyond. Our mission is simple but bold: put brands back in control of their narrative in the generative web. After you apply, check out Goodie AI's website to learn even more! The Role As an AEO Strategist at Goodie, you’ll be the go-to advisor for enterprise brands navigating the new search frontier. You’ll lead relationships with our clients, translate data into strategic clarity, and guide brands in shaping how they’re discovered, represented, and chosen in AI search. This isn’t SEO 2.0. It’s a new discipline entirely and you’ll help write the playbook. You’ll identify patterns before they become best practices, turn complex platform mechanics into actionable frameworks, and help Goodie clients stay ahead while others are still catching up. What You’ll Do • Act as the primary strategic lead for a portfolio of enterprise and scale-up clients., • Build and execute GEO/AEO strategies that maximize brand visibility across LLMs and AI search surfaces., • Partner with client teams (SEO, content, comms, growth) to integrate AEO into broader growth strategy., • Lead deep research into AI models, prompt patterns, and entity-based discovery mechanics., • Translate findings into competitive gap analyses, visibility frameworks, and industry-specific playbooks., • Turn client challenges and edge cases into structured learnings and product feedback loops., • Present insights and strategies with clarity to executives, marketers, and technical teams., • Stay two steps ahead of industry shifts, surfacing what matters before it’s obvious. What You Bring • 4+ years in SEO, content strategy, search marketing, or growth roles (AEO/GEO experience a major plus)., • A proven record of designing strategies that drive measurable growth and visibility., • Ability to think at both the technical (structured data, AI crawlers, entity SEO) and strategic (brand narrative, growth) levels., • Comfort leading enterprise client relationships with authority, clarity, and trust., • Intellectual curiosity about how AI systems interpret, prioritize, and present information., • A knack for simplifying technical concepts into frameworks executives and marketers can use., • Track record of anticipating search or platform shifts before they went mainstream. Why Join Us At Goodie, you won’t just be optimizing you’ll be shaping the next chapter of organic growth in the AI and agentic web. You’ll work with global brands, build industry-defining strategies, and contribute to a category that didn’t exist three years ago. If you want ownership, real impact, and a chance to be early in a movement that will define the next decade of marketing, this is the role. Benefits & Perks of Becoming a Goodie: • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: Goodie AI is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $70,000 - $95,000 base pay. Profit share bonus and additional incentives will be discussed during the offer phase. At Goodie AI, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job Description The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation that delivers specialty outpatient care for people living with severe mental illness, including schizophrenia, schizoaffective disorder, bipolar I disorder, and treatment-resistant depression. We design and operate high-acuity, in-person clinics across the United States. Our model integrates psychiatry, therapy, primary care, dietitians, and community health workers under one roof to deliver coordinated, longitudinal care for a population that has historically been fragmented across systems. Leading health systems partner with Amae to bring this model to their communities, including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit Health. Why We Are Different Integrated care, not a referral network. Psychiatrists, therapists, primary care providers, dietitians, and community health workers work side-by-side and share responsibility for the same patients. Practice at the top of your license. Manageable caseloads, meaningful clinical depth, and purpose-built tools designed for this population. Continuous learning. Through our partnership with Mass General Brigham, clinicians receive ongoing training, supervision, and mentorship in evidence-based SMI care. Advancing the field. Our clinicians contribute to new outcomes frameworks and research shaping the future of severe mental illness care. A model built for sustainability. Team-based care, thoughtful caseloads, and strong infrastructure make this work meaningful—and sustainable over time. The Role On-site Peer Support Specialist at our Brooklyn clinic in New York City. Schedule: Monday–Friday, 9am–5pm ET. What You'll Work On • Provide one-on-one coaching to support members' personal goals, inspire self-discovery, and strengthen skills for care, • Plan and lead group activities that encourage participation, build community, and celebrate progress, • Help members access and navigate community resources and support services, • Conduct field work in the community, including home check-ins and attending events with members as a supportive peer, • NYS Certified Peer Specialist (NYCPS) certification required, • Minimum 2 years of stable, personal recovery, • High school diploma or equivalent required, • At least 2 years of experience supporting individuals with mental health and/or substance use challenges, • Strong coaching and motivational skills, with ability to support individuals through challenges and model effective coping strategies, • Ability to engage effectively one-on-one and in groups; group facilitation experience preferred, • Knowledge of the New York City area mental health and social service systems, • Understanding of member rights, confidentiality, and trauma-informed care, • Holistic approach to health and wellness As a clinician at Amae, you are not adjacent to this work. You are essential to it. • A national care delivery model for the highest-acuity patients in behavioral health., • Precision medicine for SMI. Individualized treatment informed by multimodal clinical, behavioral, and social data., • A clinical operating system that puts longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer for care teams., • Frontier science and measurement: defining and validating the outcomes frameworks that this field has never had. Hospitalizations avoided, days stable, functional improvement, and more. Amae Health is committed to fair and equitable compensation practices. Base pay for this position is $24.50 per hour. Comprehensive medical, dental, and vision coverage. Parental leave and programs built around well-being. We'll share specifics during the interview process. If you want to practice at the top of your license, learn from the best in academic medicine, contribute to research that is defining a new field, and do it all inside a team that was actually built for this work, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job DescriptionFieldAI is transforming how robots interact with the real world. We build risk-aware, reliable, field-ready AI systems that take on some of the hardest problems in robotics and unlock the potential of embodied intelligence. Rather than relying solely on off-the-shelf, purely data-driven approaches or transformer-only architectures, we take a pragmatic path that combines cutting-edge research with real-world deployment. Our systems are already deployed globally, and we continuously improve performance through rapid iteration informed by real field use. In San Francisco, our team focuses on bringing FieldAI’s technology to customers through sales, customer success, and solutions engineering. We partner closely with customers to understand their operational needs, translate real-world challenges into deployable robotics solutions, and support successful adoption in complex, unstructured environments. We are looking for a Senior Customer Success Manager to own strategic customer relationships across our construction accounts and help ensure successful adoption of FieldAI’s technology in the field. This role is equal parts relationship management, operational problem-solving, and cross-functional execution. You will serve as a trusted partner to customers, helping them navigate deployments, drive adoption, resolve issues, and realize measurable value from our robotics platform. This is an opportunity for someone who thrives in highly dynamic customer environments and wants to play a visible role in scaling customer success at a frontier robotics company. The right person will be energized by building deep customer partnerships, solving complex operational challenges, and acting as the voice of the customer internally as FieldAI expands across the construction market. What You’ll Do • Serve as the primary point of contact for strategic construction customers and build strong, trusted relationships over time, • Drive successful onboarding, adoption, and long-term account health across customer deployments, • Develop a deep understanding of each customer’s operational goals, workflows, and success criteria, • Partner closely with sales, solutions, engineering, and product teams to coordinate customer needs and deliver effective outcomes, • Proactively identify risks, resolve issues quickly, and drive clear communication during high-priority situations, • Track account health, usage, milestones, and customer feedback to improve retention and expansion, • Identify opportunities for growth, upsell, and expanded use cases within existing accounts, • Advocate for customer needs internally and help shape product and process improvements based on field feedback, • Help build the playbook for how FieldAI supports and grows enterprise customers in constructionWhat You Have, • 7+ years of experience in customer success, account management, support, or other customer-facing roles, • Experience managing strategic or enterprise accounts in construction, industrial, enterprise software, or other operationally complex environments, • Strong relationship management skills and the ability to build credibility with customer stakeholders, • Excellent verbal and written communication skills, including the ability to manage executive-facing conversations, • Strong problem-solving instincts and comfort navigating ambiguity in fast-moving environments, • Experience coordinating cross-functional teams to deliver customer outcomes, • Ability to identify expansion opportunities while maintaining a strong customer-first mindset, • Strong organizational and project management skills with attention to detail and follow-through, • Analytical skills and comfort using data to assess account health and inform decisions

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. About the role: • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own., • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure., • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed., • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.Who You Are:, • 5-8+ years building distributed systems, ML infrastructure, or developer platforms., • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration., • Excited about rigorous engineering, but enabled by AI based workflows., • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter., • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale., • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems., • Experience building internal ML platforms or research clusters at a company doing large-scale training., • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code., • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short., • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations. This is the problem. We're building the Applied Training team to fix it. You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs. About the role: • Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc., • For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own., • For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure., • Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed., • Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.Who You Are:, • 8-12+ years building distributed systems, ML infrastructure, or developer platforms., • Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration., • Excited about rigorous engineering, but enabled by AI based workflows., • You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter., • Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale., • You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems., • Experience building internal ML platforms or research clusters at a company doing large-scale training., • Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code., • Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short., • Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.