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AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Hybrid Job Overview Relativity is a market-leading global tech company that equips legal and compliance professionals with a powerful platform to organize data, uncover the truth, and act on it. Our SaaS product, RelativityOne, is the fastest-growing in our company's history, trusted by the U.S. Department of Justice, 199 of the Am Law 200, and over 329,000 enabled users for litigation, internal investigations, and compliance projects. We've been consistently recognized as a great workplace, and we seek individuals who bring their authentic selves to our team. Job Description and Requirements As a Software Engineering Managerin Engineering Systems, you will: * Lead an internal platform team that empowers Relativity developers to deliver high-value products. * Lead and develop a high-performing team of software engineers. * Serve as a subject matter expert for the product features your team owns. * Make decisionsregardingyour team's operations andobjectives. * Receive mentorship and coaching from leadership to support your success. Key Responsibilities Include: People & Performance Management * Oversee ascrum team, ensuring its success through Agile principles and leadership. * Foster a high-performance culture and cost-effective practices. * Allocate team members' efforts strategically based on organizational needs. * Drive organizational efficiency through industry best practices for SaaS products. * Conduct 1:1meetingsto supportyourdirect reports. * Promoteknowledge-sharingacross the team. * Offer technical leadership in your team's feature set or domain. * Guide employees on career development and future opportunities. * Manage the team's workload, hiring, and performance evaluation. Technology & Strategy Leadership * Serve as a technology advisor, staying ahead of industry trends. * Contribute hands-on tosoftware design, development, and integration. * Leveragelead engineersand architects to develop effective solutions. * Develop a strategic vision for your team's domain. * Implement operational policies and drive process improvements. We enjoy working with smart, driven people who have fun building innovative solutions. We expect you to be versatile, display leadership qualities, and be excited to tackle new challenges across the full tech stack. Qualifications * Positive attitude and strong teamwork skills * Bachelor's degree in computer scienceor a related field * 4+ years managing software development teams * 10+ years of experience in commercial-grade software development * Experience leading remote teams * Strong knowledge of: * Modern programming languages and object-oriented programming * High-performance, fault-tolerant distributed systems * Cloud environments (SaaS, PaaS) * Infrastructure as Code(Terraform,Pulumi, etc.) * Ability to motivate teams and improve efficiency under pressure * Strong verbal, presentation, and written communication skills * Experience withAgile methodologies * Experience with GitHub Actions, Jenkins, or other automation tools * Proven success leading SaaS or PaaS products * Cloud platforms (Azure preferred) Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $155,000 and $233,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. The Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization. As a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments. • Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization., • Spearhead Niche Initiatives: Take on Scale's difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges., • Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints., • Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success., • Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships., • Current or past Security Clearance (TS/SCI preferred)., • Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives., • Experience in project management, including planning, organizing, and managing resources., • A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment., • Experience in security and compliance, with a focus on cross-departmental collaboration., • Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments., • Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP)., • Experience in a high growth, fast-paced technology company., • Experience in microservice design and Kubernetes-based container orchestration., • Experience applying AI or Machine Learning., • Strong analytical skills, with experience using data analysis tools or software., • Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams., • Backlog refinement & roadmapping experience with tools like Linear and JIRA., • Proven experience translating complex SOW requirements into tactical engineering deliverables, • Experience maintaining alignment with organizational capacity planning and delivery timelines. 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:$136,000—$260,000 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is:$136,000—$260,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is leading the AI revolution, developing reliable AI applications for the world's most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers. We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing "n" models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won't just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI. This is a hybrid role for a PM who loves the "why" as much as the "how." You will sit at the center of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless "foundational engine" that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams. You'll be expected to guide engineering teams through design challenges, system integrations, and the technical scaffolding required for state-of-the-art model testing. • Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the "ground truth" foundation for building, evaluating, and deploying AI systems., • Bridge Custom & Scale: Support diverse customer profiles-from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships., • Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&E)., • Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders., • Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers., • ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model-from data acquisition to Test & Evaluation., • Grit: You possess a "whatever-it-takes" drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments., • Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results., • Security Clearance: An active Secret or TS/SCI clearance is a nice to have for this role. If you do not have an active clearance, you must be willing to obtain one., • Demonstrated Technical Rigor: Advanced degree (CS, Engineering, or a related field) from a top-tier institution, or equivalent experience that showcases deep technical problem-solving ability., • Computer Vision (CV) Expertise: Practical experience designing, building, or evaluating large-scale Computer Vision models, including advanced data processing and deployment techniques. 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:$205,600—$257,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$212,800—$266,000 USDThe base salary range for this full-time position in the location of St. Louis is:$177,600—$222,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

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

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. You will: • Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem., • Conduct in-depth code reviews to identify and remediate security vulnerabilities., • Evaluate and enhance the security of our product offerings, through RFC and service review., • Implement and maintain CI/CD pipelines with a strong focus on security., • Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code., • Utilize terraform orchestration to ensure secure and efficient infrastructure management., • Guide engineering teams to build robust long-term solutions that consider security and privacy., • Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact., • Influence the security strategy and direction of the team, advocating for best practices and continuous improvement. Ideally, you'd have: • Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction., • Proven experience as a Security Engineer with a focus on product security., • Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes., • Strong understanding of modern Javascript application design., • Production experience operating and securing AWS infrastructure at scale., • Hands-on experience with SAST and DAST tools and methodologies., • Familiarity with terraform orchestration for infrastructure management., • You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input., • Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders., • Demonstrated ability to influence security strategies and drive improvements within a team. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework, • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation, • Research and integrate state-of-the-art technologies to optimize our ML system, • Strong excitement about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment, • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$189,600—$237,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Henderson, we're about more than just buildings We're about the people, experiences, and potential found inside. We're a company of problem-solvers and innovators known for our technical excellence and ability to come up with out-of-the-box solutions. We love the process of bringing buildings to life. And we're changing the industry by integrating the building design and construction process. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design services across multiple high-growth markets for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, & venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we dream up innovative solutions for industry-wide problems, design spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: Henderson Engineers is looking for a Lead Integrated Automation Designer to join their Strategic Consulting team. About Integrated Automation at Henderson: Integrated Automation brings the many technology systems that keep a facility running into one coordinated, interoperable data layer. Rather than treating each system as a standalone "black box," Integrated Automation focuses on open standards, shared data models, and common user interfaces so owners can monitor, control, and optimize every asset as a single, data-rich platform that supports business goals such as occupant experience, sustainability, resilience, and lifecycle cost reduction. Lead Integrated Automation Designer A Lead Integrated Automation Designer turns that vision into reality. They spearhead the end-to-end design of the building technology stack, from requirements discovery, coordinating with all disciplines, through construction and turnover: • Discovery & Strategy - Engage owners and stakeholders to translate operational goals into functional requirements, data strategies, and performance metrics., • System Architecture - Lay out the software, network and data architecture that unifies BAS, power, lighting, security, AV, and other OT systems; ensuring secure and structured data is at the forefront of our designs., • Coordination & Documentation - Work with internal and external stakeholders to integrate control sequences, points lists, and interface standards into construction documents., • Technology Selection - Evaluate and select hardware and software platforms that meet scalability, cost, and resiliency targets. Required Qualifications: • Bachelor's degree in relevant field of engineering (ie: mechanical, electrical, fire protection or architectural) and 11 years of relevant experience, or 13 years of experience without degree required., • Professional Engineering (PE)license may be counted toward 1 year of direct experience., • High School Diploma or General Education Degree (GED) required., • Advanced knowledge and proficiency in engineering design, A&E industry, codes, design guides and standards relating to a broad range of practices, projects and/or program types required., • Knowledge of earned value, contracts and construction processes and methods required., • Proficiency in Revit and Bluebeam Revu required., • High technical aptitude: ability to learn, understand and utilize various systems and processes. Comfortability with training others on systems and processes., • Effective verbal and written communication skills; ability to communicate with designers at all levels in a clear and concise manner., • Effective critical thinking and problem-solving skills., • Team oriented and willingness and ability to function in a highly collaborative environment, in group projects and leading less experienced designers. Ability to also work independently as needed., • Adapts to changing work environments, priorities and organizational needs., • Ability to prioritize and execute multiple tasks in a dynamic environment., • Ability to give and receive constructive feedback and adjust to coaching., • Proficiency with Microsoft Office suite and engineering design software applicable to your discipline or focus., • Must be a self-starter, proactive and willing to teach, manage and/or help others as needed. Preferred Qualifications: • Completion of FE exam, LEED and/or WELL accreditation highly preferred. Let's Talk Perks We take care of our people. As a Henderson employee, you'll enjoy some pretty awesome perks. Trust us, your friends will all have work envy. Culture Flexible Work Hours (Because we all need to balance work and life.) Casual Dress Code (Be yourself, please.) Paid Volunteer Time (We literally pay you to volunteer.) Paid Parental Leave (Because we know both parents deserve to be there for a new child.) Health and Wellness Initiatives (Get Fit and Stay Fit.) Receptive and Forward-Thinking Leadership (Our doors are always open.) Clear Career Path Options (We want you to excel.) Benefits Industry-leading 401K match and profit sharing (When the company succeeds, we all share in that success.) Employee Stock Ownership Plan (Yes, our employees are the owners.) Paid Training for Professional Development (We'll pay for the time you take getting better at what you do.) Performance Bonuses (When you do well, we reward you for your work.) Comprehensive and Extensive Insurance (We've got you covered.) Paid Term Life and Disability (We've got your family covered, too.) Health Savings Account & Flexible Spending Accounts (We'll help you take advantage of tax savings.) Paid Time Off and Sick Time off (Take a break. You deserve it!) Financial Wellness & Coaching Program (Financial security makes you a happier team member.) More information can be found here - ___. Henderson Engineers, Inc. and Henderson Building Solutions are EEO Employers/Vet/Disabled and participate in the E-Verify program. Applicants for positions with Henderson Engineers/Henderson Building Solutions must be legally authorized to work in the United States, and verification of eligibility will be required at the time of commencement of employment. All offers will be contingent upon completion of the hiring process including verifications and background checks as required for employment. To all recruitment agencies: Henderson does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of Henderson without a prior written search agreement will be considered unsolicited and the property of Henderson. Please, no phone calls or emails. NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @hendersonengineers.com, @hendersonbuilding.com. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. All legitimate job opportunities are posted on our company website's careers page.

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

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

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

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$110,400—$213,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

AI Engineer Location: Hybrid, USA Employment Type: Full-Time Compensation: $100,000 - $130,000 (Range applies to US candidates only) + Benefits/Variable Comp - Range may vary based on experience. Benefits Offered: Vision, Medical, Life, Dental, 401K This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. Summary The AI Engineer on the AI Product & Engineering team is responsible for crafting, building, and overseeing AI-powered solutions tailored for the OneStream platform. This position involves continuously converting business problems into polished, commercially viable applications leveraging AI and computer science techniques. This position requires a robust grasp of modern software design principles, including backend, frontend design and web frameworks. Collaboration with diverse engineering and services teams is essential to deliver comprehensive product support, ensure product cycle maintenance, and drive continuous product improvements. The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities. Primary Duties and Responsibilities • Build and enhance user interfaces using both native OneStream capabilities and modern web frameworks., • Write and upkeep code that is efficient, reusable, dependable, and abides by modern software design principles., • Own the end-to-end UI/UX process: from wireframing and prototyping to implementation., • Guarantee peak performance, rendering, and responsiveness of AI Services solutions., • Identify and address bottlenecks and bugs, and devise solutions to mitigate or eliminate these issues., • Help to preserve code quality, organization, and automation., • Write and define software bugs, enhancements, and story tickets in a software issue-tracking system., • Collaborate with Product Specialists and Quality Assurance Testers to effectively., • Write documentation in the form of how-to guides to get other stakeholders familiar with the products you develop. Required Education and Experience • Bachelors Degree or similar work experience., • CS/DS/EE/CE Degree or similar experience., • Experience with C# / .NET or another object-oriented language (Java, C++) with openness to learning .NET., • Experience building user-facing applications/dashboards., • Ability to work across the stack (backend services + frontend UI) and integrate APIs., • Strong programming fundamentals. Preferred Education and Experience • Experience with modern web development frameworks (React preferred)., • Experience with design tools such as Figma (or similar) for creating wireframes, prototypes, and high-fidelity UI mockups., • Familiarity with Microsoft Azure and related technologies., • Experience integrating AI-enabled features into applications., • Experience with Consolidation Software, such as: OneStream, HFM, SAP BOFC, SAP, IBM Cognos, etc., • Recent focus on Microsoft technologies., • Python experience. Knowledge, Skills, and Abilities • Self-Starter to decompose a problem and plan a solution., • Knowledgeable about modern user interface design principles aimed at optimizing user experience., • Capable of effectively communicating technical issues, leading discussions, and influencing product-related decisions., • Ability to quickly learn new technologies and adapt to changes in technology and the business environment., • Highly adaptive to changing circumstances, with the ability to tackle problems quickly., • Excellent written and verbal interpersonal skills., • Excellent organization, scheduling, project management, and multi-tasking skills., • Capable and comfortable effectively presenting in front of your peers., • Ability to write clean, efficient, and well-documented code., • Interest in continuous learning opportunities as the space continues to evolve., • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments., • Highly self-motivated and proactive., • Demonstrates meticulous attention to detail., • Comfortable engaging with C-level executives. Travel (remove if not applicable) • Minimal travel will be required. Who We Are OneStream is how today's Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It's the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit ___. Why Join The OneStream Team • Transparency around corporate structure, salary, and benefits, • Core value of customer success, • Variety of project work (not industry-specific), • Strong culture and camaraderie, • Multiple training opportunities Benefits at OneStream OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: • Excellent Medical Plan, • Dental & Vision Insurance, • Life Insurance, • Short & Long Term Disability, • Vacation Time, • Paid Holidays, • Professional Development, • Retirement Plan All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. OneStream is an Equal Opportunity Employer. #LI-Hybrid #LI-JP1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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

Scale AI is looking for an Internal Communications Senior Manager to join our Communications team. Reporting to the Internal Communications Lead, you will be a key driver in building and scaling a world-class internal comms function that connects every employee to Scale's mission, leadership vision, and business milestones. This is a high-impact, cross-functional role that will shape how nearly every team at Scale understands and rallies around company goals. You will: • Own and expand internal communications across all business units, building structured programs that help leaders engage and align their teams, • Identify gaps in the current internal comms landscape and design net-new programs, from concept through execution, that meet the evolving needs of a fast-growing, cross-functional organization., • Partner closely with business unit leaders and chiefs of staff to develop and execute their communications strategies, including AMAs, leadership updates, and mission-critical announcements, • Drive the strategy and execution of company wide channels including all-hands meetings, AMAs, internal newsletters, and Slack channels with the goal of ensuring employees feel informed and connected to Scale's direction, • Develop a cohesive internal communications framework that ladders up to CEO and executive messaging, helping employees understand business performance, company milestones, and strategic priorities, • Act as a strategic advisor to senior leaders on how to communicate with and inspire their teams, improving leader visibility and employee engagement across the organization, • Build and maintain measurement frameworks (e.g., pulse surveys, engagement metrics) to assess program impact and continuously improve internal comms effectiveness, • 6+ years of experience in internal communications, with a proven track record of building and scaling internal comms programs at a fast-growing technology company, • Demonstrated experience advising and partnering with senior leaders and executives on communications strategy, with the ability to influence without authority, • Strong program management skills and the ability to build repeatable, scalable processes across a large, cross-functional organization, • Experience working in a high-growth technology company, • Familiarity with internal comms tools, platforms (e.g., Slack, intranet systems, survey tools) programming, and data-driven approaches to measuring communication effectiveness, • Experience supporting CEO or executive-level communications in a fast-paced environment Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as "senior," but have levels to reflect seniority. Our Talent Acquisition team works closely with our employees to provide them the opportunity to grow their careers and demonstrate the scope of work in other ways aside from job titles. If you have further questions, please direct them to your recruiter and/or hiring manager, who can provide more insight. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco and New York is:$151,200—$189,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We're looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: • Build and mature database foundations for Scale, leveraging industry-standard platforms., • Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Mentor other engineers and become deeply involved in architectural design and database best-practices., • Improve our high engineering standards, tooling, and process., • Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs., • Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale., • Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: • 5+ years of industry experience as a database engineer post graduation., • Engineering experience with building real-time and distributed system architecture., • Experience designing and self hosting databases on industry standard public cloud platforms, • Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis, • Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication, • Experience developing and optimizing backup and restore functionality to meet RTO goals, • Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand)., • Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: • Prior startup experience to help us grow responsibly., • Experience with AWS, Datadog, ElasticSearch, • Experience with cloud-based data warehouse solutions like Snowflake or Databricks., • Experience with cost optimization strategies and techniques for database platforms., • Experience developing and designing intermediary data abstraction layers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: • Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements., • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises., • Be accountable for securing the "technical win" by unblocking technical challenges, • Interact with customers daily to understand their needs and design solutions to better serve them., • Design and develop "Scopes of Work" by breaking down customer challenges into a project plan, • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage, • Work with AEs and PMs to identify customer-specific feature requests., • Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals., • Prior experience developing with Python, Java and/or other web development languages., • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement., • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership., • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers., • High level of comfort communicating effectively across internal and external organizations., • GenAI Experience, • Forward deployed engineering experience About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities., • Design and experiment new approaches to preference optimization., • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness., • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field., • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning., • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning., • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines-shaping how the world's most innovative companies adopt, deploy, and scale AI with Scale. Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization. • Own technical strategy and execution for the company's most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the "technical win", • Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies, • Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements, • Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges, • Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions, • Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops, • Influence Scale's product roadmap by synthesizing customer insights and advocating for high-leverage feature development, • Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy, • Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function, • Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale, • Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises, • Strong systems thinking and architecture experience across cloud, data, and AI/ML systems, • Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed, • Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility, • Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams, • Exceptional communication skills, with the ability to translate between business, product, and technical audiences, • High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments, • Deep experience with Generative AI / LLM applications in enterprise environments, • Background in forward-deployed engineering or building production-grade ML systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. 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. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a SeniorFullstackSoftware Developer. You will lead the delivery of complex, end-to-end features-building responsive, accessible UIs with React/TypeScript/Next.js and implementing reliable Python APIs (FastAPI/Flask with SQL).You'llpartner with product and design to refine requirements, define clear API contracts, and raise the bar on testing, CI/CD, performance, and security (OAuth 2.0/OIDC). Position Responsibilities: • Lead design and implementation of user-facing features and backend services., • Build accessible, performant UIs with TypeScript,React (React Router /Next.js,HTML, and CSS, • Implement robust REST APIs in Python (FastAPI/Flask); design schemas and write efficient SQL., • Define clear API contracts and patterns; ensure consistency across services and UIs., • Own quality: automated tests with Jest, React Testing Library, and Playwright; thorough code reviews and documentation., • Improve build and release pipelines (Vite/Webpack, GitHub Actions) and support deployments on AWS., • Monitor and troubleshoot productionissues;drive reliability and performance improvements., • 6+ years of experience buildingfullstackweb applications, including leading features or projects., • StrongexpertisewithReact (React Router /Next.js) andrenderingstrategies (CSR/SSR/SSG), TypeScript, HTML, and CSS., • Solid backend experience with Python (FastAPI/Flask), REST API design, and SQL/schema design., • Hands-on with Jest, React Testing Library, Playwright; CI/CD with GitHub Actions; familiarity with AWS., • Understanding ofweb security and authentication (OAuth 2.0/OIDC) and secure coding practices., • Clear communicator who collaborates effectively across product, design, and engineering., • Healthcare/HIPAA experience is a plus. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

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

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:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. Role Overview The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack-the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications. Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale's commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders. Minimum Qualifications (Quantifiable) • Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams., • Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications., • Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window., • Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production., • Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product)., • Security Clearance: Active Secret, Top Secret, or TS/SCI clearance., • GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows., • Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI's most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. You will act as a strategic partner to clinical, operational, and technical leaders - helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity. You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs. • Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives, • Sell agentic AI solutions by mapping Scale's capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review), • Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial), • Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption, • Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions, • Partner closely with Solutions Engineering to design and land technically credible pilots, POVs, and production deployments, • Navigate healthcare-specific regulatory and compliance requirements (e.g., HIPAA, GxP, data governance, auditability) throughout the sales process, • Act as the voice of the customer internally - informing product roadmap, agent design, and vertical-specific solutions, • Maintain strong pipeline discipline, forecasting accuracy, and deal hygiene using Salesforce, Clari, and related tools, • Operate effectively in a fast-paced, cross-functional environment with high ownership and attention to detail, • 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences (providers, payers, pharma, biotech, or digital health), • Proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments, • Experience selling AI/ML, data platforms, or workflow automation technologies, with the ability to position agentic / LLM-driven solutions to both technical and non-technical stakeholders, • Strong understanding of key healthcare/life sciences workflows (e.g., clinical operations, revenue cycle, patient engagement, R&D, clinical trials, pharmacovigilance), • Demonstrated success engaging executive stakeholders and building compelling ROI-driven business cases, • Familiarity with regulatory and compliance considerations (e.g., HIPAA, FDA/GxP, data privacy, model governance), • Strong command of enterprise sales fundamentals, including account planning, multi-threading, and forecasting discipline, • Ability to navigate long, complex sales cycles with multiple stakeholders and competing priorities, • Excellent communication, storytelling, and executive presence, • High degree of ownership, intellectual curiosity, and a consultative, customer-first mindset, • Experience selling agentic AI, LLM platforms, or automation solutions into healthcare or life sciences, • Background working with clinical, regulatory, or data organizations, • Familiarity with EHR systems, clinical data, or real-world evidence platforms About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Ascertain is building AI agents to automate the administrative work that burdens care teams. We are in major health systems and large specialty groups, saving hundreds of staff hours every week. Our backers include Northwell Health, New York’s largest health system, and Deerfield Management, a leading healthcare investment firm. Together, we’re on a mission to restore time, trust, and focus to the people who keep healthcare running. Our work is urgent — not because of startup timelines, but because our customers rely on us to drive financial resilience and operational clarity in a system under strain. Healthcare organizations don't run on clean data and modern APIs. They run on payer portals, practice management systems, spreadsheets, manual workarounds, and institutional knowledge that lives in people's heads. Your job is to work inside that reality and make Ascertain's product deliver results there. This role sits at the boundary between our product and our customers' operations. You'll spend time with billing teams, revenue cycle leaders, and IT departments understanding how their workflows actually function, then build the integrations, extensions, and features that make our system work in their environment. When you spot patterns across customers, you'll feed them back into the core product so we solve problems once and scale. There will be ~10-20% travel to customer sites. This is a hands-on role. You will write code, build integrations, and ship features end-to-end. You will also be the person our customers trust to understand their problems and follow through on solving them. Your work will directly improve how healthcare organizations operate and, downstream, how patients experience care. This is a founding role on a small team where your judgment and contributions shape the product and the company. Monday you're on-site with a health system's billing team, mapping how they handle claim denials and identifying where our agent can plug in. Tuesday you're writing an integration against their practice management system. Wednesday you're pairing with the Ascertain product team to generalize what you learned into a reusable workflow. Thursday a different customer hits an edge case in production and you're triaging it, talking them through the issue, and shipping a fix. Friday you're documenting what you built so the next engineer doesn't start from scratch. * This role requires frequent, unscripted conversations with hospital administrators, billing teams, and clinical operations staff. You need to communicate clearly, build rapport quickly, and hold your own in rooms where you're the only technical person. * Proven experience working directly with customers or external stakeholders in a technical capacity, not just presenting to them, but diagnosing problems, gathering requirements, and explaining technical tradeoffs in plain language. * The ability to build trust with people who aren't engineers: billing managers, revenue cycle directors, clinical operations leads. You're someone they feel comfortable calling when something isn't working. * Comfort navigating ambiguity. Customers don't hand you clean specs. You figure out what they need, often before they can articulate it themselves. * 4+ years of experience as a software engineer, with a track record of shipping production systems end-to-end. * Full-stack experience with Python (required), FastAPI and TypeScript (preferred). * Experience building or integrating with external APIs, third-party systems, or imperfect data sources. * You write solid, reliable code. You don't need to be the strongest engineer in the room, but your work needs to hold up in production and you need to understand systems well enough to make good decisions independently. * You take ownership of outcomes, not tasks. When something breaks for a customer, you don't wait for a ticket to be assigned. * You have good judgment about when to move fast and when to invest in something durable. Not everything needs to be generalized, and not everything should be a one-off. * You're interested in helping build the playbook for how Ascertain works with customers, not just executing against an existing one. Why Ascertain? Make a real difference: Your work will directly impact healthcare organizations and improve patient care. Join Ascertain in transforming healthcare with AI!

The cloud-backed terminal for individuals and teams ___ is modernizing the command line to make it more intuitive, collaborative, and intelligent for developers and teams. We believe there’s an opportunity to build a generational company known for considered, high quality developer products – products developers love rather than tools they tolerate – to displace antiquated developer tools that have mediocre user experiences. The traditional terminal is a prime example of this type of tool having not meaningfully changed in the past 40 years, and is ripe for innovation. By fundamentally reimagining its experience – improving its UX, making it intelligent and collaborative – we can help developers ship better software more quickly. We are looking for outstanding product-focused software engineers who want to work on difficult technical problems with the goal of improving developers’ lives. You’ll be working in Rust and Go with an experienced, kind, and thoughtful team of gifted engineers. For more information on our team and culture, we highly recommend reading our ___. 🎥 Here’s a quick 3-min video of Zach Lloyd, our founder and CEO, giving an overview of the product and the company: ___ As a Software Engineer, you will… • Participate in all aspects of software development activities, including design, coding, code review, unit/integration testing, bug fixing, and code/API documentation., • Collaborate closely with the rest of engineering, as well as other stakeholders from our growth, marketing, and product teams, to plan features and build a high quality product that elevates the productivity of all developers., • Improve Warp's performance and reliability by building new features or polishing existing parts of the product., • Prototype ideas and concepts to get quick feedback from internal and external users, • Work across the entire technical stack to ensure users have the most efficient and delightful experience using Warp. The features you develop will span all aspects of the user experience, making you an expert on what their needs are., • Be a mentor and provide thoughtful feedback to your peers, and build strong personal connections with your teammates! You may be a good fit if... • You are passionate about helping developers get more done — would jump at the chance to work on this particular product, • You have amazing engineering chops, but are also product- and user-focused, • You have great communication and collaboration skills, • You’re sensitive to developers’ needs, and can develop warm relationships with developers, • Bonus:, • Building native apps in Rust or WASM, • Shell or Linux-programming, • Server-side programming in go, • OpenGL, WebG, or other graphics programming At Warp, we are dedicated to building a diverse, inclusive, and authentic workplace. So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways! We are a community of curious learners, and most of us are learning some skills for the first time (like our engineers learning to program Warp in Rust). You might be just the right candidate for this or other roles. Salary Transparency Total compensation at Warp consists of two parts: 1) a competitive base salary, and most importantly, 2) meaningful equity. When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you’d like to be paid, the skills and level of experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The budgeted compensation amount for this role is targeted at $145,000 - $260,000. In addition to salary, all employees receive further compensation in the form of equity in the company. This is a meaningful stock option grant with a four-year vesting period and one-year cliff. Your equity is where most of the significant upside potential is. Comparing startup equity is always a bit tricky, so we’re happy to walk you through different valuation scenarios at the offer stage in order to help paint a clearer picture of the upside. Final total compensation is determined by multiple factors including your experience and expertise and may vary from the amounts listed above. What We Offer • Competitive Salary & Meaningful Equity – we will stretch to get the right talent on board, • Full Medical, Dental and Vision Benefits, • Flexible remote-first culture, with optional WeWork in SF and an office space in NYC for folks who want to work together IRL, • 20-days of Paid Time Off, • 12 US Holidays, • 16 weeks of paid Parental Leave for both birthing and non-birthing parents, • Twice-a-year company retreats, • Monthly gym stipend, • 401(k), • Pre-Tax FSA Health Savings Plan, • Complimentary OneMedical membership Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We believe we will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and what our engineering team culture is like, please take a look at our internal ___ guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, ___), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our ___ showing some of our current features… This is just the start, as our plan is to build out a set of experiences in the terminal that don’t exist today like collaboration, environment sharing, rich data types and more. The Opportunity The terminal is one of very few tools used by every developer every day, which makes it an ideal gateway to improving all sorts of developer activities. We believe there is an opportunity to build a unicorn-sized business improving the command-line. Our strategy is bottom-up developer adoption, followed by driving revenue through enterprise sales and distribution partnerships. To start, our goal is to become the everyday terminal of choice with individual users – immediately usable as a backwards-compatible terminal replacement with the developer’s shell of choice. We have built a closed-source server, which will implement all of the cloud-enabled features. These features will invite users to share their work with others, driving growth and encouraging collaboration. We’ll also focus on building a community and an ecosystem of terminal plugins and apps, creating network effects. At higher levels of team penetration, we will offer an enterprise plan with features around privacy, security and environment management (e.g. secure distribution and management of API keys). These larger enterprise plans will be the ultimate driver of revenue, along with potential distribution deals for companies that see CLI integrations as a way to reach new customers. A couple college students, totally unprompted, wrote a piece on why new students should work at Warp as part of their new newsletter they are launching called "Why You Should Join." It's an incredibly well researched and thoughtful article about the market and competitive landscape, and accurately reflects our thesis. Read it ___.

What you can expect working with us: You will rewrite a massive industry with 10000s of businesses. You will be introducing technology to the moving industry, an industry previously untouched by software. By working with our customer base, you will provide them more time, revenue, and speed – radically uplifting the entire moving experience for everyone in the world. We accompany our customers every step of the way from the moment they partner with us to the end of their journey. We bring passion to what we do every day because what we do matters to real people. You will likely determine the fate of our company. We are a customer-driven team that tackles problems with empathy and logical reasoning. We aim to truly solve problems for our customers and accomplish this through a thorough process of problem discovery, user research, user testing, and iteration. We're looking for experienced, thoughtful product engineers who enjoy solving real-world problems and seeing their software used by thousands of people everyday. You will work with a smart and action-oriented team. At Supermove, we are trying to do what's nearly impossible – to create an enduring and iconic company. We are relentless and ambitious with all of our goals. We move extremely quickly, and prefer to iterate rather than deliberate. We always operate with full trust and transparency, knowing that our top priority is to achieve our vision to the best of our ability. \n Quick Facts • We closed our series A round raising $18M led by a16z in 2022 - read more about it ___., • We are a 40 person team of Pinterest, Asana, Facebook, and Google alums., • We are early and the opportunity is massive. 10,000s of companies have not heard from us yet., • We close new customers every week and have >2x our revenue in the past year. Role & Responsibilities • Build scalable backend systems that allow us to scale to millions of users., • Integrate with 3rd party software including Payments, Accounting, CRMs, and more., • Optimize our GraphQL backend for fast performance so that our movers are able to complete their jobs quickly, • Create generic systems that are able to solve any workflow in a scalable way. Generalized systems include billing, document creation and storage, task workflow, and customer communication systems, • Open source general frameworks that we use to build entire applications consistently and quickly, • Shipping code, conduct code reviews, • Architecture docs and Design handoffs, • Product brainstorm/scoping (if desired), • Design review/brainstorm (if desired) Competencies • Backend, • Python/Flask, • GraphQL, • PostgreSQL/relational databases, • 3rd party integrations, • AWS: Lambdas, ECS, DynamoDB, • Basics of testing: e2e, integration, unit Skills & Experience • You have relevant experience. You have 2-5 years of experience at a relevant tech, product-driven company. Ideally with 1-2 years of experience in an early-stage startup (Seed, Series A)., • You truly believe in our mission. You believe moving is a significant moment in a person's life and believe we can make the moving experience great., • You are curious and empathetic. You always aim to understand the full picture from the customer's point of view. You're willing to challenge your understanding of this every day to improve it., • You embrace change. You understand that change is the only constant in a startup. You are excited to propose and lead change when you have a better way. Our Tech Stack • React and React Native client apps built with an Apollo GraphQL data layer, Styled Components for styling our UI, and hooks for handling modals, responsiveness, navigation, and more., • Together with our design team, we have built a shared design system used in all client applications., • Flask backend with a performant GraphQL layer built with Graphene., • Redis for async task handling and working with external systems., • Infrastructure is all on AWS with usage of Lambdas, ECS, and Dynamo., • We have a CI/CD pipeline that enables us to test every pull request and deploy multiple times per day., • Our processes include using Notion, Slack, Zoom, and GitHub for all communication. Why this role • Large amount of ownership within the first 3 months of joining. You’ll be able to jump into projects within your first 30 days, and own several features by the end of your 90 days., • Modern tech stack: Python/JS with React, React Native, GraphQL, Flask, Postgres, AWS (Lambdas, ECS, Dynamo)., • Fast iteration cycles. We build and launch our features behind flags. This enables us to deploy multiple times a day without disruption to other engineers on the team., • Strong engineering backgrounds: Work with bright engineers from Asana, Facebook, Pinterest. \n Additional Perks & Benefits: Market comp, medical, vision, dental. Provide direct input to overall company strategy. Timeline: We move at super speed with a simple four step process. Phone screen, CTO & Hiring Manager Interview, Technical Interview, and then a three hour virtual final round interview with the founders and future team members. Pay Range: Software Engineer I: $90,000 USD - $140,000 USD Software Engineer II: $120,000 USD - $170,000 USD

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? At PrizePicks, we are changing the game in daily fantasy sports. We are a passionate team of innovators dedicated to creating a best-in-class experience for our members. Our engineering team builds and scales the platform that powers our explosive growth, from real-time contest engines to the services that handle millions of daily transactions. We are looking for a Senior Software Engineer to join our Social Experience team and help us continue to build the future of fantasy sports. We are seeking an experienced Senior Software Engineer with deep expertise in Ruby on Rails to join our Social Experience team. In this role, you will design, build, and own critical Rails-based backend services that power PrizePicks’ core platform — including social feeds and profiles. You will tackle high-scope, complex technical problems, define the technical path from product idea to production, and mentor engineers across your team and the organization. This is a role for someone who thrives on solving hard backend problems and wants to have a direct impact on a product used by millions. • Design and build backend services: Architect and implement Rails-based services that are performant, scalable, and reliable, supporting high-throughput workloads and complex business logic., • Own technical delivery: Lead the technical design and implementation of complex features end-to-end — from product requirements through deployment and monitoring., • Drive system reliability: Diagnose and resolve performance bottlenecks, optimize database queries, and improve the resilience of backend systems under load., • Define technical direction: Propose and drive architectural decisions for your team’s services, evaluating tradeoffs and communicating recommendations clearly., • Mentor and elevate: Provide hands-on mentorship to Software Engineers I, II, and III on your team and in the organization through code reviews, pairing, and technical guidance., • Improve engineering practices: Define, advocate for, and improve best practices around code quality, testing, observability, and deployment for your team., • Collaborate cross-functionally: Work closely with Product Managers, Designers, QA, and other engineering teams to translate product goals into well-scoped technical solutions., • Participate in on-call rotation: Share responsibility for production incidents, contributing to root cause analysis and long-term reliability improvements. Experience: • 5–8 years of professional software engineering experience, with significant time building production Ruby on Rails applications, • Proven track record of owning and delivering complex, multi-component features in a team environment, • Experience designing and operating backend systems that handle significant scale and complexity Technical Skills: • Expert-level Ruby on Rails proficiency — you understand the framework deeply, write idiomatic Ruby, and know when to leverage or work around Rails conventions, • Strong proficiency with PostgreSQL, including schema design, query optimization, and performance tuning at scale, • Solid understanding of API design — RESTful services, serialization strategies, and versioning, • Experience with background job processing (Sidekiq or similar) and asynchronous workflows, • Experience with containerization (Docker) and orchestration (Kubernetes), • Familiarity with CI/CD pipelines and deployment automation, • Understanding of observability practices — logging, metrics, tracing, • Working knowledge of Go — our backend includes significant Go services, and cross-stack capability is valued at this level Working Style: • Comfortable working autonomously with minimal direction on ambiguous problems, • Effective communicator who can articulate technical decisions to both engineers and non-technical stakeholders, • Experience working in a fully remote engineering organization, • Able to context-switch between deep technical work and collaborative planning, • Experience leveraging AI-assisted development tools across the development lifecycle — coding, planning, scoping, and code review, • Experience integrating AI tooling into engineering workflows to accelerate team productivity, • Experience building social or relationship-driven systems (feeds, follows, reactions, activity streams, recommendation engine), • Experience designing stat-driven profile systems (aggregations, rollups, derived metrics) at scale, • Experience building social systems that are designed for rapid experimentation (feature flags, ranking experiments, growth loops), • Deep understanding of graph-shaped data modeling and fan-out patterns, • Demonstrated ability to influence technical direction horizontally across teams to ensure cohesive social experiences Where you’ll live: • This a remote position anywhere in the US is fine. #LI-REMOTE The typical salary range for this position is $170,000 to $185,000 At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: March 02, 2026 First Extension: April 2, 2026 Second Extension: May 2, 2026 In addition to your great compensation package, full-time employees will be eligible for the following perks: • Company-subsidized medical, dental, & vision plans, • 401(k) plan with company match, • Annual bonus, • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!), • Generous paid leave programs, including 16-week paid parental leave and disability benefits, • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked, • Company-wide in-person events and team outings, • Lifestyle enhancement program, • Company equipment provided (Windows & Mac options), • Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We offer professional services and innovative solutions that streamline business and government. Position Description The Power Platform developer will be a member of an Agile development team supporting the design, development, implementation, and enhancement of custom applications using Dynamics 365 and Power Apps Model Driven frameworks. Responsibilities include the following: • Support grooming of user stories and authoring design artifacts., • Perform as a developer for the delivery of Dynamics 365 / Model-driven Power Apps configuration, custom development, development of Azure cloud services, and development of integrations with external systems, • Perform design and development of full-lifecycle development efforts which are based on Microsoft Power Platform and supporting Azure Cloud services Required Skills • At least 8 years of total IT experience performing complex application development projects on the Microsoft stack working closely with cross-functional Team Members in Agile Development environment., • At least 5 years of hands-on development experience with Dynamics 365 / and/or Model-driven Power Apps, • Experience developing customizations using .NET, JavaScript, HTML, CSS, and jQuery., • In-depth hands-on knowledge of the Microsoft Dynamics platform, the entity model, and security model., • In-depth hands-on knowledge of Canvas and Model Driven applications, PCF controls, and Dataverse., • Hands-on experience architecting solutions that involve Dynamics customization to include server-side code, custom business logic, integration modules, workflow assemblies and plug-ins., • Excellent client-facing written and oral communications skills., • Project experience on large development efforts for the Federal Government, • Experience utilizing Azure Services to support Power Platform solutions (e.g., Functions, Service Bus, Key Vault, Blob Storage, Data Factory), • Exposure to SharePoint Online configuration and light development, • Microsoft certifications Procentrix is an Equal Opportunity employer and does not discriminate on the basis of race, color, religion, gender, national origin, age, marital or veteran status, the presence of a non-job related medical condition or handicap, or any other legally protected status.

Location: Remote, Raleigh or Charlotte, NC About the Role Home Solutions, a Three Ships company, seeks a Staff Engineer to lead the development of intelligent, automated systems that power lead management, partner integration, and ad targeting infrastructure. As part of a lean, high-performing team, you’ll work at the intersection of back-end engineering, data architecture, and business-critical platforms. You will play a pivotal role in building and owning scalable solutions that unlock growth across the company’s digital properties. You will work closely with business stakeholders and product leads to bring predictive decisioning and AI-native systems to life - having a meaningful impact to our business. Your Day-to-Day • Own and evolve core back-end systems including:, • Lead Management Platform – intelligent routing, partner integrations, and auction systems., • Ad Targeting Systems – real-time pipelines that power data syncing with platforms like Google, enable intelligent ad targeting, and drive performance optimization at scale., • Design and implement scalable services using Elixir Phoenix LiveView, SQL, and AWS., • Partner with Data Science, Product, and Business stakeholders to integrate predictive models into system logic., • Champion engineering best practices around testing, code quality, documentation, and security., • Bring an “AI Superuser” mindset - leveraging and championing tools that improve velocity and insight., • Help drive clarity and critical thinking on tech strategy to meet business goals. About You • 5+ years of experience as a full stack engineer , with a strong track record of owning and shipping production systems., • 3+ years of hands-on experience with Elixir Phoenix LiveView in production systems., • Strong SQL skills and experience with PostgreSQL in high-volume environments., • Experience deploying systems in the cloud, preferably AWS., • Full stack experience, with strength in back-end systems and strong working knowledge of data pipelines., • Strong problem solver and critical thinking mindset., • Effective communicator - able to collaborate closely with business stakeholders and translate engineering concepts., • Bonus if you have experience with JavaScript and Python., • Comfortable working in a fast-paced, high-accountability environment., • You love autonomy, take pride in quality, and are always looking for leverage through automation or AI., • Alignment with our core values: Grow Without Limits, Get After It, Act With Focus, and Build The Team. While we’re looking for some specific experiences and skillsets, nothing is more important than a strong can-do attitude, resilience in the face of change and uncertainty, and a passion for learning and creating. About Us Launched in Fall 2017, Home Solutions targets the rapidly digitizing home services vertical and matches homeowners with the right service provider to meet their needs. Our purpose is simple: Simplify Home Services. We aspire to transform the way homeowners and end-service providers engage. Through our media, alerts, and brand solutions, Home Solutions has a proprietary audience of 47M+ homeowners and prime real estate in search engines. We are on a mission to make homeownership easier by creating high quality content that pairs consumers with providers in a range of related categories. Home Solutions was incubated within Three Ships, a growth equity firm that launches and invests in digital companies, builds great leadership teams, and helps them rapidly scale. The Three Ships portfolio includes several businesses and over 50+ websites that help consumers navigate choices through online marketplaces. Headquartered in Raleigh and Charlotte, we are always looking to find the right people to help us continue to grow this business and place a high value on teammates with a growth mindset and a "get after it" mentality. Why You Should Join Us • Results: Home Solutions is the fastest-growing marketplace company in the home services category., • Opportunity: Home services is a $600 billion market that largely still operates like it’s 1999. During the next decade, we anticipate a huge digital transformation in the category, and marketplace companies will lead the way., • Ownership & Impact: We seek talented people with the desire to own and run parts of the business that drive company performance. Leadership is fully aligned and incentivized around our growth-focused mission., • Exposure & Learning: You will have a front-row seat in growing a business. Your teammates have built and sold companies, managed 100s of employees, and run campaigns with Fortune 500 brands. The opportunity to build new skills and learn from smart people is endless., • Career Growth: There is no cap on growth, promotions, or the opportunity to own and put your stamp on important projects. Prove your value and you will be rewarded accordingly., • Stability: We are privately owned, have no debt, and have significant cash to invest – we’re “rock-solid” financially., • Fun: The team has a high bar for excellence, but also a real interest in each other and making work fun. The Package We offer a competitive base salary based on experience. As a full-time team member at Home Solutions, you'll also enjoy a comprehensive benefits package, including health, medical, and vision insurance, a 401(k) match, short-term disability coverage, and a cell phone reimbursement. Additionally, we support your well-being and growth with flexible time off, a bi-annual $500 Relax & Recharge bonus, a learning and development stipend, and a Charity Match program to give back to causes you care about. EEOC Statement All applicants are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, gender identity, or any other discriminatory factors. Please note that we do not provide immigration sponsorship for this role. All offers are subject to a background check.

This is a fully remote position within the United States. We're looking for an experienced Senior Software Engineer to join our team and help eliminate the financial complexity of healthcare. We're currently hiring across five engineering teams and will work with you to figure out the best fit based on your skills and interests. We value technical leaders who can drive complex projects to success while elevating the engineers around them. We have a small, growing, and highly-capable development team. As a Senior Engineer II, you should be comfortable leading complex, ambiguous projects and mentoring developing engineers. As you would be working for a fast-growing start-up, your role would be wide-ranging. In this role, we're looking for someone who can navigate uncertainty, architect elegant solutions, and have a large impact on the growth and direction of the development team. * Lead and mentor developing engineers, fostering growth and a healthy team culture * Manage complex projects from design to delivery, navigating ambiguity and driving alignment * Drive cross-functional discussions to unearth requirements and architect elegant technical solutions * Design and build robust, scalable applications using Python, Django, and modern frontend web technologies * Write effective, scalable, testable code across full-stack applications (Python/Django, PostgreSQL, JavaScript/Vue) * Work with large data sets and pipelines, including data cleaning, analysis, and processing * Proactively communicate status and impact, removing blockers and keeping stakeholders aligned * Improve functionality and architecture of existing systems * Iterate quickly with an eye towards value * 7+ years work experience in Python, or strong experience in another programming language with some Python exposure * Expertise in at least one popular Python web framework (preferably Django) or similar web framework in another language * Strong understanding of SQL and how to efficiently use databases to solve complex problems * Solid experience with JavaScript, and one or more modern JS frameworks like Vue or React * Experience working with APIs, data pipelines, and complex system architectures * Demonstrated ability to navigate uncertainty and lead complex projects to successful delivery * Track record of mentoring and developing other engineers * Exemplary written and verbal communication skills with ability to drive technical discussions and influence decision-making * Proven ability to facilitate cross-functional conversations, listen actively, and work effectively in remote environments * Entrepreneurial mindset: you can problem solve independently while collaborating effectively across teams * Bachelor's degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds * Healthcare domain experience or understanding of healthcare data and pricing models * AI/ML experience, particularly with emerging patterns like RAG and Agentic Workflows * Experience with data analysis tools like Pandas, NumPy, or similar for large dataset analysis * DevOps experience with deployment pipelines, infrastructure as code, or monitoring systems * Experience with complex orchestration pipelines * Experience working on open-source projects * Competitive pay with equity options * Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options * Company-sponsored disability & life insurance * Unlimited PTO * 401(k) + 4% Matching * Fully remote work + flexible working hours * $750 work-from-home setup budget * Paid quarterly in-person co-working weeks * Quarterly $150 co-hanging stipend to meet up with coworkers * Monthly $100 health and wellness benefit * Generous paid family leave * Annual $1,200 learning & development stipend At Turquoise, we're making healthcare pricing simpler, more transparent, and lower cost for everyone. Have you or a family member ever gotten an MRI, a lab, or even a straightforward surgery without knowing the cost in advance? That's bonkers, right? We're working to fix that. We're a Series B startup backed by top VCs a16z, Box Group, Bessemer Venture Partners, Tiger Global, Adams Street, and Yosemite. Most importantly, we're an accomplished group of folks (moonlighting as authors, bass players, improv instructors, chefs, linguists, and trivia buffs) with a passion for improving healthcare. We're eager to find ambitious and well-rounded teammates to join us on this mission. We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Building a truly diverse team is a challenge that we do not shy away from. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all. Turquoise Health is a fully remote company based in the US. We work with team members and contractors in the US and around the world, but we operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates. Turquoise Health is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact

About the role: Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Software Engineer II, AI Platform, you’ll help implement the design and contribute to the development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on supporting senior ICs on the team by building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed. You’ll partner closely with Senior ICs, AI engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely., • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment., • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers., • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: • Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara., • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations., • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond., • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling., • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities. Minimum requirements for the role: • 3+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems., • Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services., • Experience implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines., • High proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas., • Expert in Python and substantial knowledge on different GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.), • Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches., • Strong product sense and ability to work in fast-paced, cross-functional environments., • Located in and authorized to work in the United States (this is a fully remote role). An ideal candidate also has: • Experience working on AI products in a sales, go-to-market, or revenue operations context., • Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms., • Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines., • A track record of leading major technical initiatives or mentoring engineers in high-growth teams., • Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

We get it. You have options. Let us tell you why we’re different. Our work is changing the world of financial services. Everyday, clients arrive with big ideas for their industry. They’re experts in their field with the vision and resources you need to change everything. All that’s left is the right team to bring that vision to life. If you’re a fast learner and you love working on a wide variety of projects, you’re going to like it here. We help our clients modernize, rather than rebuild, outdated customer-facing software applications. Our clients see a return within weeks instead of months and that’s why they choose us. At Praxent, we let you do your work your way. We’re a team of 160+ located throughout the United States and Central/South America. Our role is to encourage you, support you, and give you the freedom you need to thrive. Whether you’re working at home, in a coffee shop, or heck, even on your travels, we’re here to create an environment that lets you live your best life. On your terms. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Texas, Colorado, Georgia, Florida, Massachusetts, Maryland, Minnesota, Nebraska, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Washington. Your Mission: Lead development teams to ensure sprint commitments are met As a Principal AI Engineer, you will shape Praxent’s AI future by defining technical standards, guiding AI architecture, and enabling teams to deliver high impact AI solutions with confidence and consistency. You will serve as a technical authority across AI initiatives partnering with sales, delivery, and governance teams to translate business goals into scalable, production ready AI systems. Through leadership, mentorship, and hands on solutioning, you will ensure Praxent remains a trusted AI partner for our clients. How You’ll Make an Impact: • Establish Technical Standards & Architecture, • Define and maintain AI technical standards, reference architectures, prompt libraries, templates, and playbooks., • Support the creation and evolution of AI enabled SDLC frameworks with developers that teams can reliably apply across projects., • Lead architecture reviews and act as a quality gate for AI design decisions., • Support Presales AI Solutioning, • Partner with sales and delivery to design AI strategies, architectures, and proof of concepts., • Translate client needs into compelling technical narratives and implementation plans., • Serve as a trusted technical voice during early stage client engagements., • Design & Implement MLOps Platforms, • Architect and deploy MLOps/AIOps platforms that support model lifecycle management, evaluation, and monitoring., • Optimize performance, cost, and reliability across AI deployments., • Ensure AI solutions are secure, observable, and production ready., • Elevate Training & Delivery Quality, • Develop and deliver AI training programs, workshops, and internal documentation., • Maintain AI standards and learning content within internal platforms., • Mentor engineers and delivery leads on AI trade-offs, risks, and best practices. Your Day-to-Day: • Define AI architecture patterns and review project implementations, • Create reusable AI frameworks, prompts, and playbooks, • Support presales efforts with technical designs and client-facing explanations, • Coach teams through architectural decisions and delivery challenges, • Collaborate cross-functionally to align AI initiatives with business outcomes Your Qualifications: • AI & Technical Leadership: Deep experience designing and delivering AI enabled systems in production., • Strong background in MLOps, model lifecycle management, and evaluation frameworks, • Proficiency with modern AI/ML frameworks and cloud based AI platforms, • Architecture & Delivery Experience: 8–12+ years of professional experience in software engineering and system architecture., • Proven ability to design scalable, secure, and maintainable systems, • In depth experience with end-to-end full stack architectures, modernizing legacy systems into scalable, cloud-ready solutions while leveraging AI/ML capabilities (e.g., LLMs, automation, intelligent workflows) to improve performance, maintainability, and business outcomes., • Experience improving delivery efficiency through standards and tooling, • Client & Communication Skills: Comfortable presenting complex AI concepts to technical and non-technical stakeholders. Ability to connect AI capabilities to measurable business value, • Mentorship & Culture Building: Demonstrated experience mentoring engineers and elevating team capabilities. Passion for building shared understanding and continuous improvement, • Relevant Education May include intensive programs, Bachelor’s degree in Computer Science, Engineering, or equivalent experience, • Values Alignment: We Care Deeply, Always Deliver, Never Settle, Do It Together, Own the Outcome, and approach every situation with a CAN DO mentality – learn more about our ___ and be sure to let us know which aligns most with your experience!, • Stability. We've been in business for over 20 years., • Work stays at work. We promote a healthy work/life balance to help ensure you have the time that you need. We encourage no more than a 40 hour work week., • Great company culture. We’ve been recognized by Texas Monthly, Clutch, Comparably, and more for the quality of our workplace. Feel free to check out our rating on Glassdoor., • We’re here to enable you. It’s your work and your career. Our management team is here to help you become who you want to be. Not to micromanage you., • Stay Healthy. We offer medical, dental, and vision coverage as well as wellness days. We also provide disability insurance and we even have a wellness program., • Plan for the future. We don’t want you to work here forever. Save for retirement with an IRA and we’ll match up to 3% every year., • We value your ideas. At Praxent, our doors are always open. Need help? Come on in. Have a vision for the future of the company? We’d love to hear it., • Rest and relaxation. Employees enjoy 15 days of PTO, 9 US holidays, 5 wellness days, and a closed office the last week of the year. Employees earn more PTO each year., • You’re more than an employee, you’re a person. Every co-worker you’ll meet is committed to treating you with respect and kindness. You won’t hear stuff like, “It’s just business.”, • Family Values. Praxent provides paid parental leave. The US base salary range for this full-time position is $186,433- $214,898 + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-Remote

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Teladoc Health Inc. seeks Senior Software Engineer (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017. Summary of Position Lead the design, development, and deployment of scalable software solutions for Teladoc's enterprise-level telehealth SaaS platform. (30%) Manage and mentor a team of software engineers, ensuring efficient project execution and timely delivery of features. (15%) Architect and implement microservices using PHP/Symfony, including specialized solutions like patient matching algorithms. (20%) Oversee containerized application management in Kubernetes across multi-cloud environments (AWS and Azure). (10%) Provide technical direction for core platform components and ensure adherence to engineering best practices. (15%) Drive the adoption of emerging technologies and contribute to company-wide standards in microservices architecture, CI/CD, and cloud infrastructure. (10%). Telecommuting: 100% Telecommuting, Will supervise 3 Software Engineers. Required Qualifications This position requires a bachelor's degree or foreign equivalent in Electronic Engineering, Computer Science, Information Science or a related field plus 7 years of experience as a Software Engineer, Full Stack Developer, or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. Alternatively, the employer will accept a master's degree, or foreign equivalent, in Electronic Engineering, Computer Science, Information Science or a related field plus 5 years of experience as a Software Engineer, Full Stack Developer or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. RATE OF PAY: $189,592.00 -$189,592.00 per year Applicants who are interested in this position should apply by emailing resume to ___. Reference Job Code: 9522990_2026 or via ___ and search for Senior Software Engineer. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Job Title: Full-Stack Game Developer (Sports EdTech).Austin, TX (On-site preferred).We are a well-funded, fast-moving startup looking for a hyper-talented AI Applied Full-Stack Game Developer to build a highly scalable, wildly engaging 2D sports-themed educational game.Think: sinking a three-pointer

Token Metrics, a leading AI-driven crypto research platform, is seeking an experienced Tech Lead to join our growing team. In this role, you will be responsible for leading technical initiatives, mentoring developers, and contributing to the architecture and development of our cutting-edge cryptocurrency analytics platform. \n Key Responsibilities: • Lead and mentor a team of full-stack developers, fostering a culture of technical excellence and innovation, • Architect and implement scalable solutions using React, ___, and cloud platforms (GCP/AWS), • Drive the adoption of best practices, including DORA metrics, to enhance team performance and product quality, • Collaborate with product managers and stakeholders to define technical requirements and roadmaps, • Contribute actively to code development, code reviews, and technical documentation, • Ensure high code quality and consistent coding styles across the team, • Lead system design efforts for new features and improvements, • Conduct thorough peer reviews and provide constructive feedback to team members, • Stay up-to-date with emerging technologies and industry trends in the cryptocurrency and blockchain space Requirements: • Proven experience as a Senior Full Stack Developer, with a strong track record of delivering high-quality software products, • Extensive experience with React, ___, and cloud platforms such as GCP or AWS, • Strong system design skills, with the ability to architect complex, scalable solutions, • Expertise in maintaining high code quality standards and implementing consistent coding styles, • Extensive experience in conducting peer reviews and providing constructive feedback, • Familiarity with DORA metrics and a history of being a top contributor on high-performing development teams, • Active annual Github contributions, demonstrating ongoing engagement with open-source or personal projects, • Strong understanding of software architecture principles and design patterns, • Excellent communication and leadership skills, with the ability to mentor junior developers, • Passion for cryptocurrency and blockchain technology Preferred Qualifications: • Experience with AI/ML technologies and data-driven applications, • Knowledge of cryptocurrency protocols and blockchain ecosystems, • Familiarity with agile development methodologies, • Experience with DevOps practices and CI/CD pipelines, • Track record of implementing and maintaining coding standards and best practices \n At Token Metrics, you'll have the opportunity to work on innovative projects at the intersection of AI and cryptocurrency. We offer a dynamic, remote-friendly work environment and the chance to shape the future of crypto investing. Join us in our mission to empower investors with advanced AI insights and analytics. As a Tech Lead, you'll play a crucial role in maintaining our high standards of code quality, fostering a culture of continuous improvement through peer reviews, and leading system design efforts to ensure our platform remains scalable and efficient as we grow.

We always operate with full trust and transparency, knowing that our top priority is to achieve our vision to the best of our ability. You always aim to understand the full picture from the customer's point of view.