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Location: Greater Chicago and Illinois Suburbs Shape a child's earliest learning experiences. We're always looking to connect with passionate educators who want to build meaningful careers in Montessori education across Downtown Chicago and the Illinois Suburbs. Whether you're just beginning your journey or brining years of classroom experience, we're excited to meet educators who are passionate about helping children grow and thrive. Our opportunities include Lead Guide and Assistant Guide roles serving children from infancy through age six. We provide the support, training, and professional growth to help you build a rewarding career in Montessori education while making a meaningful impact on children's lives. Your Impact As a Guide (Teacher), you’ll either Lead or support a mixed-age Montessori classroom in our Infant, Toddler, and Children’s House (ages 3–6) programs. You'll help create a calm, engaging environment where children develop independence, confidence, and a lifelong love of learning. Through thoughtful observation, meaningful relationships, and beautifully prepared classrooms, you'll help each child grow academically, socially, and emotionally. What You’ll Do Lead or support a mixed-age Montessori classroom Observe children closely to understand and support their individual development Prepare and maintain a beautiful, orderly classroom learning environment Foster independence through respectful guidance and encouragement Build strong partnerships with families Collaborate with fellow team members to create a positive classroom community What We’re Looking For Experience working with young children in a preschool, childcare, daycare or school setting A passion for early childhood education and child development A collaborative, adaptable, and positive mindset Interest in learning the Montessori approach (prior Montessori experience is welcomed but not required) Required ECE or Child Development credits, where applicable Interest in pursuing our fully sponsored Montessori diploma through the Prepared Montessorian Institute What We Offer Whether you're launching your career or bringing years of experience to the classroom, we're committed to helping you continue learning and growing as an educator. Fully sponsored Montessori diploma training through the Prepared Montessorian Institute (PMI) Ongoing coaching, mentorship, and professional development to help you grow throughout your career Clear pathways for career advancement , from Assistant Guide to Lead Guide and school leadership opportunities 75% tuition discount for up to two children at any Guidepost Montessori school Competitive pay based on your experience, education, and role Health, dental, and vision insurance Paid time off and paid holidays A collaborative community of educators committed to continuous learning and excellence About Guidepost Montessori Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old . We believe children are capable and we design an education that nurtures independence, curiosity, and joy. Our mission is to transform education by helping every child reach their highest potential academically, socially, and emotionally. If you love working with children and are looking for a role where you can grow, make an impact, and be part of something meaningful, we’d love to hear from you. Apply today and join our school community! Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.

Location: Bengaluru, Karnataka Workplace: Remote ROLE SUMMARY The Staff Solutions Architect is Temporal's primary customer-facing technical leader within the Banking team, with a focus on the APJ (India) region. In this crucial role, you’ll work directly with prospects and customers, guiding them in understanding the suitability of their applications for Temporal’s platform and showcasing the technical advantages of our cloud service. Your contribution is vital in positioning Temporal against alternative technologies, helping customer engineering teams expand production applications using Temporal, and owning the technical relationship with key decision-makers. Your role is integral to our success. WHAT YOU’LL DO - Collaborate with prospects to determine if their applications fit Temporal’s platform well. - Educate customers and prospects on the technical benefits and limitations of Temporal’s platform and cloud service. - Position Temporal as a leading solution against competing technologies and architectural patterns. - Foster an environment within customer engineering organizations to increase the adoption and expansion of Temporal in production environments. - Partner closely with Account Executives to develop and execute comprehensive account plans. - Manage and nurture relationships with technical decision-makers within customer organizations, ensuring they fully leverage Temporal’s capabilities. WHAT YOU’LL BRING - Reside within Bangalore, India. - Exceptional technical communication skills, including presenting, whiteboarding, and writing. - Deep understanding of distributed system technologies, design principles, and best practices. - Proficiency in building application prototypes and providing design, development, build, and deployment guidance using one or more of Temporal’s supported languages: Java, Golang, TypeScript, Python, C# or PHP. - Firm grasp of operational considerations in production environments, such as security, reliability, performance, cost management, and operations. - Ability to provide insightful advice on architectural topics, including application patterns and platform architectures. - Experience with at least one major cloud provider and familiarity with commonly used application development and production services. - Serve as a strategic technical advisor to Sales Account Executives, assisting with scoping and sizing opportunities and offering guidance on technical fit and challenges. NICE TO HAVE - Prior experience with FinTech and/or FinServe. - Likes to learn new technical topics, often directly from Engineering - Can come up to speed without any sales-specific training (i.e., from docs, videos & conversations) - Partners well with engineers working at customer organizations Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Annapolis, MD; Lanham, MD Position Objective: Conducts concurrent and retrospective chart review for clinical, financial, and resource utilization information. Provides intervention and coordination to decrease avoidable delays and denial of payment. Essential Job Duties: 1. Chart Review : Reviews the medical record by applying utilization review criteria, to assess clinical, financial, and resource utilization; enters clinical review in EPIC; maintains close communication with external reviews, care coordinators, and providers; reconciles and records days authorized in EPIC 2. Denial Management : Monitors and identifies patterns or trends in utilization management; monitors potential and actual denials and collaborates with care coordinator for any follow up necessary; documents actions taken to avoid denial;  assists Care Coordinator in communicating with the patient denied hospital days with work toward resolution and discharge. 3. Care Coordination: Collaborates with the Care Coordinator to achieve optimal and efficient patient outcomes while decreasing length of stay, avoidable delays and denied days; utilizes Physician Advisor and administrative personnel for unresolved issues; identifies opportunities for expedited appeals and collaborates with the care coordinator and Physician Advisor to resolve payer issues. 4.  Process improvement initiatives Participates in nursing unit and department clinical outcome projects as well as process improvement initiatives of care management. Educational/Experience Requirements: Bachelor’s of Science in Nursing or Associate’s degree in Nursing with equivalent experience.  BSN must be achieved within 5 years of start date in the role. Three years of clinical nursing in an acute care hospital setting. Required License/Certifications: Current RN license from Maryland Board of Nursing. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $34 — $55 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Chicago Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern , you will build advanced trading and risk applications leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in Chicago. How you will make an impact… Design, develop, test, and deploy proprietary software development solutions across the firm. Examples include creating: Decoders to receive raw packet data from various exchanges and translate it into a more accessible form Normalizers which take decoded data and build a book for each instrument traded on that exchange Applications to facilitate communication around executed trades to our compliance team Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner Conduct robust research using a data driven approach to employ statistical analytics on large data sets Collaborate with other software developers, quantitative traders, and researchers as well as business analysts in cross-functional team environments What you bring to the team… Are pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Physics, Mathematics, Machine Learning, or any related science discipline and have an expected graduation date between December 2027 and June 2028 Have exposure to network programming (TCP/IP), multi ‐ threaded applications, computational intelligence, algorithms, real ‐ time programming or GUI programming Have strong understanding of object -oriented design, data structures, and algorithms An eagerness to learn and apply what you have learned, and to know the impact of your code Have strong problem-solving and analytical reasoning skills Have strong communication and collaboration skills Exhibit excellent software development skills in C++, Python, or Java and a deep curiosity to learn and absorb new technologies quickly What to expect during the internship… Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world . We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk . Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets . We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters– it's how we do it . DRW is a place of high expectations , integrity, innovation and a willingness to challenge consensus . The annual base salary for this position is $225,000. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: Sahibzada Ajit Singh Nagar (Mohali), India Workplace: hybrid We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models . Key Responsibilities As an Applied ML / Computer Vision Engineer, you will: Design, develop, and improve Computer Vision and image-processing pipelines. Build solutions for video analysis, video understanding, and real-time visual processing. Develop multimodal AI systems combining vision, audio, and language data. Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques. Implement and fine-tune Vision-Language Models and Transformer-based architectures. Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making. Evaluate, optimize, and deploy machine-learning models in production environments. Improve model inference speed, accuracy, scalability, and resource efficiency. Translate research papers and emerging AI techniques into practical product features. Build APIs and production-grade services for AI model integration. Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions. Monitor model performance and continuously improve deployed systems. Maintain clear, reusable, and well-documented code. 1–4 years of experienc e in Applied Machine Learning, Computer Vision, Deep Learning, or a related field. Strong programming skills in Python. Hands-on experience with PyTorch. Practical knowledge of OpenCV and image or video processing. Strong understanding of Deep Learning fundamentals. Experience with object detection and/or image segmentation models. Knowledge of Transformer architectures. Experience working with Vision-Language Models. Familiarity with the Hugging Face ecosystem. Experience with model inference, evaluation, and optimization. Understanding of how to move models from experimentation into production. Experience using Docker and Git . Ability to independently investigate technical challenges and propose practical solutions. Ability to understand, reproduce, and implement methods described in research papers. Strong analytical and problem-solving skills. Curiosity and willingness to explore new technologies. Passion for AI, Machine Learning, and product development. Ownership mindset and accountability for delivered solutions. Ability to work independently and contribute within a collaborative team. Interest in building practical products rather than focusing only on model experimentation. Comfortable working in a fast-moving and research-driven environment. Nice to Have Experience with one or more of the following technologies would be considered an advantage: YOLO GroundingDINO SAM or SAM2 Florence-2 Whisper Qwen2.5-VL LLaVA InternVL CUDA TensorRT ONNX FastAPI (Exceptional fresh graduates may also be considered if they can demonstrate strong technical knowledge through relevant academic work, personal projects, GitHub repositories, Kaggle participation, research, or a technical portfolio.)

Location: Amsterdam Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern , you will build advanced trading and risk applications leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organized social events to truly discover what it is like to live and work in Amsterdam. How you will make an impact… Design, develop test, and deploy proprietary software solutions across the firm. Examples include creating: Decoders to receive raw pack data from various exchanges and translate it into a more accessible form. Normalisers which take decoded data and build a book for each instrument traded on that exchange Applications to facilitate communication around executed trades to our compliance team Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner Conduct robust research using a data driven approach to employ statistical analytics on large data sets Collaborate with other software developers, quantitative traders and researchers as well as business analysts in cross-functional team environments What you bring to the team… Are pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2027 and August 2028 Have exposure to network programming (TCP/IP), multi‐threaded applications, computational intelligence, algorithms, real‐time programming or GUI programming Have strong understanding of object-oriented design, data structures, and algorithms An eagerness to learn and apply what you have learned, and to know the impact of your code Have strong problem-solving and analytical reasoning skills Have strong communication and collaboration skills Exhibit excellent software development skills in C++, Python, Java, C#, or C and a deep curiosity to learn and absorb new technologies quickly What to expect during the internship… Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges, and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualise how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Software Developer Intern , you will build advanced trading and risk applications leveraging cutting-edge technology. DRW enables our Software Developer Interns to develop computationally intensive software under the guidance of senior technologists with the goal of deployment during your ten weeks. While your days will have you immersed in complex projects directly driving DRW’s progress, your evenings will be spent exploring the city with organised social events to truly discover what it is like to live and work in London. How you will make an impact… Design, develop, test, and deploy proprietary software solutions across the firm. Examples include creating: Decoders to receive raw pack data from various exchanges and translate it into a more accessible form Normalisers which take decoded data and build a book for each instrument traded on that exchange Applications to facilitate communication around executed trades to our compliance team Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner Conduct robust research using a data-driven approach to employ statistical analytics on large data sets Collaborate with other software developers, quantitative traders, and researchers as well as business analysts in cross-functional team environments What you bring to the team… Are pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics, or any related science discipline and have an expected graduation date between December 2027 and August 2028 Have exposure to network programming (TCP/IP), multi‐threaded applications, computational intelligence, algorithms, real‐time programming, or GUI programming Have strong understanding of object-oriented design, data structures, and algorithms An eagerness to learn and apply what you have learned and to know the impact of your code Have strong problem-solving and analytical reasoning skills Have strong communication and collaboration skills Exhibit excellent software development skills in C++, Python, Java, C#, or C and a deep curiosity to learn and absorb new technologies quickly What to expect during the internship… Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges, and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualise how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital, and cryptoassets. We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it.  DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems. We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why CloudLinux? You will work on real production infrastructure used across CloudLinux and TuxCare products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. MongoDB replica sets and Percona Backup for MongoDB. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards.  The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations. Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations. Minimum qualifications Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it. You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one. You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself. Key responsibilities Turn launches into field-ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours Scale beyond the live session: Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure Close the loop with product: Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal Measure what lands: Track content usage and session feedback so you know what is working and what to retire Minimum requirements Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement Experience writing production-quality code and building technical demos Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone Experience using AI coding tools as part of your daily engineering work Experience delivering live technical training or talks to both technical and non-technical audiences Experience partnering directly with sales, solutions engineering, or other go-to-market teams Preferred requirements A portfolio you can show us: labs, courses, talks, or repos you built yourself Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit Public speaking, conference presentations, or community-facing developer advocacy Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure Deep enthusiasm for AI and genuine care about building it responsibly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users. - Achieve and exceed revenue targets and other key sales metrics. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success. LOCATION Mexico City DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues Proficiency in Python for data analysis and automation Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives Build and maintain systematic testing methodologies that evaluate every aspect of our systems Develop automated testing frameworks to enable continuous assessment at scale Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications Experience in penetration testing, red teaming, or application security Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) Experience building custom automation, including LLM-specific testing frameworks A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways A public body of work such as CVEs, blog posts, or disclosed bug bounty reports Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications Experience with AI/ML security or adversarial machine learning Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks Experience testing API security and rate-limiting systems Background in testing business logic vulnerabilities and authorization bypass techniques Background in anti-fraud, trust & safety, or abuse prevention systems Familiarity with distributed systems and infrastructure security Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses Adaptability to understand and build engagements around emerging threats outside your direct area of expertise The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts. - People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts. - People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.