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Location: San Francisco 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 In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: Remote Workplace: Remote 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 In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: London 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 In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: New York 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 In this role, you’ll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Senior Implementation Consultant on the Customer Success team, you’ll lead technical deployments and customer enablement for 1Password’s product suite, partnering with Project Managers, Technical Account Managers, and Solutions Architects to deliver successful outcomes for commercial and enterprise customers. You’ll combine hands-on configuration, project management, customer training, and technical guidance to help organizations adopt secure, effective ways of working. Your work will help customers protect access to the tools and information they rely on every day, advancing 1Password’s mission to make life easier and safer for everyone. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years of experience leading technical implementations from planning through launch, with experience in implementation consulting, solutions engineering, customer onboarding, with a proven track record of leading software deployments for large or complex organizations in a related Business-to-Business (B2B) Software as a Service (SaaS) environment. - Combine strong technical aptitude with project management experience, including managing timelines, coordinating stakeholders, tracking time, and monitoring utilization. - Configure solutions and answer complex customer questions independently, knowing when to involve the right internal partners. - Understand identity and security concepts such as identity providers (IdPs), Single Sign-On (SSO), System for Cross-domain Identity Management (SCIM), Active Directory, Mobile Device Management (MDM), and Zero Trust. - Communicate clearly with technical practitioners, senior stakeholders, and audiences with different levels of technical knowledge. - Design and deliver engaging virtual and in-person training for enterprise administrators, executives, and end users. - Use artificial intelligence (AI), automation, and workflow improvements thoughtfully to reduce repetitive work and create reusable solutions. What you can expect: - Lead the hands-on configuration, integration, validation, and launch of 1Password’s Enterprise Password Manager, SaaS Manager, Device Trust, and Unified Access. - Partner with Project Managers on implementation plans, customer coordination, timelines, and delivery risks. - Collaborate with Technical Account Managers, Solutions Architects, and Customer Success partners to understand customer environments and align technical approaches with business goals. - Manage a portfolio of active customer engagements, balancing independently led implementations with training and enablement support for Project Manager-led projects. - Deliver customized technical consultations and training sessions, including occasional onsite sessions for customers. - Translate technical concepts into clear business value and help customers adopt solutions that support their security and operational goals. - Identify risks early, drive issues to resolution, and improve playbooks, training materials, processes, and AI-powered workflows that strengthen the customer experience. - Share implementation expertise with teammates through mentoring, knowledge sharing, and continuous improvement initiatives. - Travel occasionally for customer engagements, team events, or other business needs. USA-based roles only: The annual base salary for this role is between $102,000 USD and $148,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $102,000 CAD and $148,000 CAD and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Dublin 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 Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to lead and scale our SDR team across EMEA. This will be the first dedicated SDR leadership role in the region, responsible for building a high-performing team that generates pipeline across leading law firms, professional services organizations, and in-house legal teams. You will own hiring, onboarding, coaching, and performance management while partnering closely with Sales, Marketing, and RevOps to build a scalable pipeline generation engine. You’ll also help shape Harvey’s regional go-to-market strategy by refining targeting, messaging, and outbound programs that resonate with the European legal market. If you’re excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we’d love to meet you. WHAT YOU'LL DO - Own regional pipeline performance: Drive the SDR team’s contribution to pipeline generation across inbound and outbound channels, ensuring strong alignment with EMEA sales targets. - Build and scale the team: Hire, onboard, and develop a high-performing SDR team, helping establish the structure, operating cadence, and performance standards for the EMEA region. - Coach and develop SDRs: Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions to accelerate rep development and performance. - Design onboarding and enablement: Partner with GTM enablement to create onboarding and ongoing training programs that ramp SDRs quickly and build strong product, industry, and prospecting expertise. - Partner cross-functionally: Collaborate closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion. - Refine targeting and messaging: Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights. - Leverage data and tools: Use platforms such as Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track team performance and optimize workflows. - Build a strong team culture: Foster a high-performance culture grounded in ownership, learning, and collaboration. WHAT YOU HAVE - 4+ years of experience in SaaS sales or business development, with at least 1–2 years of direct SDR or BDR leadership experience. - Proven success in building and managing pipeline-generating teams in a high-growth, outbound-focused environment. - Deep understanding of modern sales development tools (e.g., Salesforce, Salesloft, LinkedIn Sales Navigator, Gong). - A data-driven mindset with the ability to analyze team performance, uncover insights, and iterate quickly. - Experience building SDR processes from scratch—comfortable in ambiguity and excited to be the architect of something new. - A coaching-first leadership style: you invest in people, celebrate wins, and hold high standards with care. - Excellent communication skills and executive presence—both internally and externally. - Passion for AI, innovation, and the transformation of knowledge work—especially in professional services and legal. - Influence tech stack - develop recommendations and drive implementation - Prior experience selling into legal or professional services firms is a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LL1 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: Paris; Amsterdam; Munich; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral's AI solutions for science-heavy projects, working closely with customers from strategic vision to production implementation in domains like computer vision, robotics, and embodied AI. This role sits at the intersection of deep technical expertise, business strategy, and hands-on deployment, ensuring our customers achieve transformative outcomes in specialized AI applications. You will partner with senior executives to design AI roadmaps for science-driven use cases, collaborate with the Applied AI and Research teams to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to expanding Mistral's capabilities in cutting-edge AI domains. This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex technical challenges in specialized domains, and are passionate about turning AI science into real-world impact.   WHAT YOU WILL DO STRATEGIC DISCOVERY & VISION SETTING - Lead executive-level workshops to identify science-specific business challenges and opportunities where Mistral's AI can drive step-change improvements in vision, robotics, embodied AI, and other specialized domains. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" in science applications and a clear path to value. - Collaborate with Account Executives to develop business cases for technically complex, science-driven solutions, quantify ROI, and align with customer objectives. AI SOLUTION DESIGN & DEPLOYMENT (SCIENCE FOCUS) - Architect end-to-end AI solutions for specialized domains, integrating Mistral's models and platform into science-specific workflows and technical infrastructure. - Partner with the Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, ensuring scalability and impact. - Own the execution of science-heavy pilot projects and proofs-of-value, demonstrating the potential of our technology in specialized domains and paving the way for full-scale deployment. VALUE REALIZATION & CUSTOMER SUCCESS - Serve as a trusted advisor to customers on science-driven AI strategies, ensuring they maximize the value of their investment in Mistral's specialized capabilities. - Monitor key performance indicators (KPIs) tied to technical and business outcomes in science domains, and communicate progress to executive sponsors. - Proactively identify expansion opportunities within accounts for science applications, building on initial successes to drive long-term partnerships. CROSS-FUNCTIONAL COLLABORATION - Act as the bridge between customers and Mistral's Research and Applied AI teams, synthesizing feedback to influence science-focused product and research roadmaps. - Develop reusable assets, best practices, and playbooks for science domain deployments to scale go-to-market efforts. - Travel (~30-60%) to foster deep client relationships and support on-site deployment of specialized solutions.     WHAT WE'RE LOOKING FOR - 2+ years in a client-facing technical role (e.g., data science consulting, research engineering, or technical sales) with strong background in AI science domains (computer vision, robotics, embodied AI, etc.) - You hold a degree in a scientific field (e.g., Computer Science, Robotics, Physics, Mathematics) - PhD is a plus - Deep technical knowledge of AI/ML/Data Science with specialization in science domains, and the credibility to advise highly technical audiences - Hands-on experience building and deploying science-focused AI applications (Python, C++, or similar) to demonstrate value in specialized domains - Strong business acumen and problem-solving skills, with the ability to translate complex technical concepts into business value - Executive presence and communication skills to influence senior stakeholders (VP, C-level) on technically advanced solutions - Hands-on experience building and deploying AI applications (Python) in science domains - Resilient, results-driven, and comfortable leading through influence in a highly technical, collaborative environment - Experience with research-to-production transitions and working with research teams is a plus Why This Role Matters You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Chicago 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. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. 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-SH1

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Nebius is building the AI infrastructure that financial institutions will run AI on in production, from quantitative research and real-time risk to agentic workflows in banks and insurers. The Field CTO for Financial Services is a senior technical leadership role at the intersection of production GPU infrastructure and the regulated business of financial services. You will lead the technical side of the vertical: the architecture conversation with CTOs and heads of research infrastructure, the technical content of regulated-buyer diligence, the reference architectures for financial workloads, and the product requirements that come out of the field. Financial institutions buy AI infrastructure differently from most customers. Quantitative funds and AI-native fintechs buy GPU capacity directly and judge it on price-performance, availability, and how the cluster behaves under their own workloads. Banks and insurers add a second review: security, third-party risk, data residency, and exit planning are assessed before a deal reaches architecture discussions. You will earn the trust of both kinds of buyer and help make Nebius an approved supplier to financial institutions. You will work alongside the Head of Financial Services, Sales, Security and GRC, Product, and Engineering. The role begins as a hands-on individual contributor, with a clear path to building and leading forward deployed engineers as the vertical scales. This is a ground-floor opportunity to define how financial institutions run AI in production on a specialized AI cloud. You are welcome to work remotely from the United States (New York City preferred). Travel expectations are 10% to 20% for customer visits, executive meetings, and key industry events. Your responsibilities will include: Executive Technical Leadership: Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders. Lead architecture workshops and technical discovery with CTOs, heads of quant and ML platforms, and CIOs, showing technical buyers how Nebius performs on their own workloads and institutions how the architecture fits their control framework. Lighthouse Deal Support: Partner with Sales leadership on strategic financial services deals, including workload-level cost comparisons against on-premises and hyperscaler options. Regulated-Buyer Diligence: Work with Security, GRC, and Legal to turn our SOC 2 Type II and ISO 27001 certifications, and our alignment with frameworks such as DORA, into answers that third-party risk teams accept. Cover data residency, tenant isolation, key management, audit logging, resilience evidence, concentration risk, and exit and portability plans. Flag gaps early and bring them to Product as requirements. Architectural Guidance: Define reference architectures for financial workloads: quantitative research and backtesting, real-time risk and fraud inference, LLM and agentic workflows in KYC, AML, and document processing, and fine-tuning on sensitive proprietary data. Technical Product Strategy: Translate what you learn in accounts into prioritized, evidence-backed requirements for Product, Engineering, and Infrastructure teams, and keep a structured feedback loop so R&D can act on them. Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials that help Field SAs and sellers engage financial services buyers credibly. Ecosystem & M&A: Partner with ecosystem vendors (market and reference data providers, model risk and AI governance tooling, trading and risk platforms, systems integrators) to identify integration opportunities and evaluate potential technical M&A targets. Team Building: Build and lead forward deployed engineers as the vertical grows, setting how they scope, deliver, and hand learnings back to Product. We expect you to have: 10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain, including 5+ years in AI, ML, or MLOps with exposure to production or large-scale systems. Prior experience in a senior technical leadership role, for example Field CTO, CTO or technical co-founder of a fintech or AI-native company, head of quant or ML platform, or principal-level architect on a cloud vendor financial services team. Dual Competency: You can draw a distributed system on a whiteboard for engineers and explain its value and risk profile to a CIO or a Chief Risk Officer. GTM Fluency: Experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets. Product-Minded Leadership: You have defined requirements from field evidence and shaped platform strategy. You are comfortable telling a customer no when a request would create technical debt, and proposing a better alternative. Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures, Kubernetes and Slurm orchestration including Soperator, high-performance and parallel file systems, and networking constraints (InfiniBand and Ethernet). Inference Optimization: You understand the nuances of model serving, including batch sizes, quantization, KV caching, and latency tradeoffs, and can architect for both massive throughput and latency-sensitive demands such as real-time risk and fraud scoring. Financial Services Fluency: First-hand experience in at least one of capital markets and quant research infrastructure, bank or insurer AI platforms, AI-native fintech, or an FSI technical role at a cloud or GPU provider, plus working knowledge of how regulated buyers review vendors: data residency, third-party and concentration risk, and model risk management expectations (for example SR 11-7 in the US). Builder Mentality: You arrive with your own point of view on where financial institutions are heading with AI infrastructure and pursue it without waiting to be directed. You are comfortable starting as a hands-on individual contributor and growing into a team. Public Technical Voice: Conference talks, writing, or open-source work that shows credibility with engineering and executive audiences. Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility. Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. Preferred Qualifications: Hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution. Familiarity with the hybrid and on-premises GPU environments financial institutions run. Strategic Empathy: The ability to distinguish customers who need raw cluster access from those who need managed endpoints, and the judgment to prescribe the right path. Why Nebius: Build Solutions: You will shape how financial institutions run AI in production on a specialized AI cloud. Scale: Opportunity to help build the Financial Services vertical from the ground up. Frontier Technology: Work at the frontier of AI infrastructure, agentic workflows, and financial intelligence alongside leading customers and partners. Strategic Impact: Real influence over product direction, platform strategy, and ecosystem development. Ownership: Join a team that values technical depth, ownership, and speed of execution. Mission: Help define how intelligence moves from the data center into trading desks, risk engines, and the operations of banks and insurers. What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Key employee benefits in the US: #LI-LG1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $210,000 — $260,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview The Accounts Receivable Accountant will be responsible for driving data-based insights, automation, and analytical excellence within the Accounts Receivable (AR) domain. This role plays a key part in strengthening financial accuracy, improving receivables processes, and supporting strategic decision-making across Finance. The AR Accountant will independently manage end-to-end analytical processes — from data modeling and reconciliation automation to performance reporting — while partnering with cross-functional stakeholders to ensure data integrity and operational efficiency. Key Responsibilities Analytical & Strategic Finance Support Analyze AR and revenue data to identify patterns, forecast trends, and highlight process improvement opportunities. Develop dashboards and analytical models to monitor receivables health, DSO performance, and collection efficiency. Provide actionable insights and recommendations to support strategic decision-making in Finance and Business Operations. Process Optimization & Automation Design, implement, and maintain automated AR data workflows and reconciliation Partner with Accounting and Engineering teams to streamline data pipelines between ERP (NetSuite) and reporting systems. Continuously improve data accuracy, reconciliation speed, and operational efficiency through automation and analytical solutions. Reporting & Data Visualization Develop and maintain BI dashboards and reports (e.g., Power BI, Tableau, or Looker) providing visibility into receivables, revenue timing, and intercompany Translate complex financial data into clear and concise management Support monthly and quarterly closing with data validation, variance analysis, and reconciliation analytics. Cross-Functional Collaboration Partner with Accounting, Treasury, and Business Operations teams to ensure consistent AR data definitions and accuracy. Collaborate with Data and Engineering teams to enhance system integrations and data quality. Contribute to financial systems improvements and new tool Governance & Compliance Ensure data integrity and compliance with accounting principles and internal Support audit and compliance requirements through data-driven reconciliations and reporting traceability. Key Qualifications & Experience Must-have requirements: Bachelor’s or Master’s degree in Accounting, Finance, Economics, or Data 4–6 years of experience in Finance, Accounting, or Data Analytics with a focus on AR or revenue processes. Strong analytical background with proficiency in SQL and Excel (advanced functions, pivot tables, modeling). Experience with BI tools (Power BI, Tableau, or similar). Knowledge of ERP systems (preferably NetSuite) and data integration Working knowledge of US GAAP or IFRS accounting Ability to independently identify issues, propose solutions, and drive process Excellent communication skills with the ability to explain analytical results to non-technical audiences. Fluency in English (written and spoken). Preferred qualifications: Experience in a multinational or technology-driven finance Familiarity with tax reporting and intercompany Competencies & Behavioral Traits Strong analytical and critical thinking Proactive problem-solving and ownership Structured approach to managing complex datasets and Ability to translate data into strategic business Collaboration across Finance, Operations, and Engineering Continuous improvement mindset with focus on scalability and Adaptability and comfort in a dynamic, fast-paced Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE TEAM People Intelligence sits within People and Communications. We build the data and products behind talent decisions at every level — from leaders, managers, and employees. Our partners in Total Rewards, HRBP, Talent Management, and People Operations depend on what we ship..The team is a growing team, and you will help set the engineering standard for how we build. IN THIS ROLE, YOU'LL HAVE THE OPPORTUNITY TO: - Lead technical projects from first design through launch and iteration, across products such as performance cycles, compensation planning, talent reviews, total rewards statements, and self-service tools. - Design scalable architectures that integrate with our internal systems (i.e. Workday, Ashby, etc.) and our people data platform, that holds up when the whole company is in a review or compensation cycle. - Build with security in mind from the first commit, including role and reporting-line access, protection for compensation and performance data, and an audit trail on every change. - Work directly with Total Rewards, HR business partners, Talent Management, and People Operations to understand how each program runs, transforming it into products that managers and employees want to use. - AI is native to you, and speeds up how you design, build, and test, to help the team adopt the workflows that hold up. - Raise the technical bar through design reviews, code review, documentation, and mentorship. SKILLS YOU BRING: - 5+ years of professional software development, with a track record of building internal tools and production systems that employees and teams depend on every day. - Full-stack experience building web applications, with depth in at least one of Ruby, Python, TypeScript, or Kotlin, and a modern frontend framework such as React. - Experience designing systems that handle sensitive data, including authentication, fine-grained authorization, and auditability. - Clear communication with non-technical partners, and the product judgment to simplify a complex process rather than rebuild. - Experience taking a product from 0 to 1, including making architectural calls with incomplete information and revisiting them as you learn. NICE-TO-HAVE'S: - Experience building HR or people products, such as performance management, compensation planning, talent management, or employee self-service. We value this domain depth highly. - Experience integrating with an HRIS such as Workday, including its APIs and effective-dated data and other HR related systems (i.e. Ashby, Lever, Shareworks, Okta, etc.) - Familiarity with how people programs run, including review and calibration cycles, compensation bands and merit planning, and job architecture. - Experience in a regulated or privacy-sensitive environment. WHO YOU ARE: - You are self-directed, and you find the next problem worth solving without waiting for a ticket. - You are curious about how things work, and you ask why a process exists before you change it. - You treat employee data with care and think about privacy and access as design constraints from the start. - You would rather ship a simple version, learn from real users, and improve it than hold back a perfect one. - You own outcomes, not just code, and you stay with a product after it launches. - You make the people around you better through pairing, reviews, and clear writing. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: San Francisco 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 This role owns what happens on stage at Harvey’s global events, most notably FORUM https://www.harvey.ai/forum/new-york, our conference series convening leaders from across the legal profession to explore how AI, new operating models, and shifting talent dynamics are reshaping how legal teams work. You’ll decide what attendees see, hear, and experience: the executive narrative, the speaker lineup, the session design, and the editorial bar that makes every edition feel unmistakably Harvey. This is an editorial role and an execution role in equal measure. Roughly half of your time goes to decisions and drafting: what earns a place on the program and how it’s framed. The other half goes to driving people and deadlines: getting speakers confirmed and prepared, moving the Product Keynote across teams, and keeping dozens of moving pieces on schedule. The role sits at the intersection of content, product marketing, and executive engagement, and it’s critical to making FORUM a high-quality moment for customers, prospects, and the legal community. WHAT YOU'LL DO - Own the plan from first concept to final run-of-show, managing multiple concurrent workstreams against fixed event dates. - Project manage the Harvey Product Keynote end to end, working with Product and Product Marketing to decide what gets showcased and how, and driving content, rehearsals, and approvals to deadline. - Source, schedule, and manage [30+] speakers per event, from first outreach through rehearsal and day-of support, including shaping talking points and running prep calls. - Build and maintain the trackers, playbooks, and run-of-show documents (session trackers, timelines) that let programming scale across editions and geographies. - Curate the full agenda: session descriptions, breakout talk tracks, and content across multiple stages, making sure every session earns its place and ladders up to the event’s strategic goals. - Build and maintain Harvey’s speaker bench: a living database of customers, prospects, and industry voices, with notes on topics, speaking strength, and relationship owners. - Get to know our customer base closely, working with Customer Engagement and Customer Success to spot, recruit, and prepare customer speakers, and turn their work into on-stage content before anyone asks. - Partner across Production, Marketing, Creative, and Enablement so content decisions translate cleanly into the live event experience. - Analyze post-event data and feedback to inform content strategy, speaker selection, and format decisions for future editions. - Give Leadership clear, organized updates on progress, risks, and open decisions. WHAT YOU HAVE - 7+ years of experience in events, content, or programming roles, ideally with exposure to flagship or high-visibility conferences. - Strong project management skills, with a track record of running multiple concurrent workstreams for a high-visibility event with a hard date and a large speaker roster, without dropping details. - Experience developing world-class content for large in-person events, including themes, session design, and speaker curation. - Experience managing speakers directly: outreach, scheduling, rehearsals, and day-of support. - Real curiosity about people and their work. You ask good questions, remember the answers, and want to know our customers well enough to know which stories belong on stage. - A strong storyteller who can distill complex business and product priorities into narratives that resonate with senior stakeholders and attendees alike. - A strategic thinker who can process disparate information quickly, make and communicate decisions fast, and build new plans and processes from scratch. - A process-first mindset: comfortable building trackers, playbooks, and documentation that bring structure to a fast-moving program. - Comfort partnering cross-functionally with Product, Product Marketing, Creative/Design, and Leadership, including at the executive level, while holding tight timelines. - High ownership, professionalism, tact, and judgment, with the ability to operate under ambiguity. - Excellent written, verbal, and presentation skills, with a sharp eye for cutting jargon and filler from session copy and talk tracks. COMPENSATION $114,500 - $171,700 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LT1 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: New York 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 This role owns what happens on stage at Harvey’s global events, most notably FORUM https://www.harvey.ai/forum/new-york, our conference series convening leaders from across the legal profession to explore how AI, new operating models, and shifting talent dynamics are reshaping how legal teams work. You’ll decide what attendees see, hear, and experience: the executive narrative, the speaker lineup, the session design, and the editorial bar that makes every edition feel unmistakably Harvey. This is an editorial role and an execution role in equal measure. Roughly half of your time goes to decisions and drafting: what earns a place on the program and how it’s framed. The other half goes to driving people and deadlines: getting speakers confirmed and prepared, moving the Product Keynote across teams, and keeping dozens of moving pieces on schedule. The role sits at the intersection of content, product marketing, and executive engagement, and it’s critical to making FORUM a high-quality moment for customers, prospects, and the legal community. WHAT YOU'LL DO - Own the plan from first concept to final run-of-show, managing multiple concurrent workstreams against fixed event dates. - Project manage the Harvey Product Keynote end to end, working with Product and Product Marketing to decide what gets showcased and how, and driving content, rehearsals, and approvals to deadline. - Source, schedule, and manage [30+] speakers per event, from first outreach through rehearsal and day-of support, including shaping talking points and running prep calls. - Build and maintain the trackers, playbooks, and run-of-show documents (session trackers, timelines) that let programming scale across editions and geographies. - Curate the full agenda: session descriptions, breakout talk tracks, and content across multiple stages, making sure every session earns its place and ladders up to the event’s strategic goals. - Build and maintain Harvey’s speaker bench: a living database of customers, prospects, and industry voices, with notes on topics, speaking strength, and relationship owners. - Get to know our customer base closely, working with Customer Engagement and Customer Success to spot, recruit, and prepare customer speakers, and turn their work into on-stage content before anyone asks. - Partner across Production, Marketing, Creative, and Enablement so content decisions translate cleanly into the live event experience. - Analyze post-event data and feedback to inform content strategy, speaker selection, and format decisions for future editions. - Give Leadership clear, organized updates on progress, risks, and open decisions. WHAT YOU HAVE - 7+ years of experience in events, content, or programming roles, ideally with exposure to flagship or high-visibility conferences. - Strong project management skills, with a track record of running multiple concurrent workstreams for a high-visibility event with a hard date and a large speaker roster, without dropping details. - Experience developing world-class content for large in-person events, including themes, session design, and speaker curation. - Experience managing speakers directly: outreach, scheduling, rehearsals, and day-of support. - Real curiosity about people and their work. You ask good questions, remember the answers, and want to know our customers well enough to know which stories belong on stage. - A strong storyteller who can distill complex business and product priorities into narratives that resonate with senior stakeholders and attendees alike. - A strategic thinker who can process disparate information quickly, make and communicate decisions fast, and build new plans and processes from scratch. - A process-first mindset: comfortable building trackers, playbooks, and documentation that bring structure to a fast-moving program. - Comfort partnering cross-functionally with Product, Product Marketing, Creative/Design, and Leadership, including at the executive level, while holding tight timelines. - High ownership, professionalism, tact, and judgment, with the ability to operate under ambiguity. - Excellent written, verbal, and presentation skills, with a sharp eye for cutting jargon and filler from session copy and talk tracks. COMPENSATION $114,500 - $171,700 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LT1 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 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. Commercial Associate, Data Center Asset Management About the role Anthropic leases large data center campuses from developers, and our compute roadmap depends on those campuses being built, energized and handed over on schedule. When a signed project slips, the fastest fix is often commercial: change who pays for what, who controls what, and what happens when a date is missed. This team renegotiates signed deals to get projects back on track and then makes sure what was agreed actually happens. You will be second chair on every one of those negotiations, working directly with the team lead, and we expect you to be able to run a site on your own within six to nine months. What you will do Run the issues list on live renegotiations and keep parallel papers conformed (term sheets with more than one counterparty, amendments, side letters, schedules), catching the differences before the other side does. Turn first drafts of term sheets, amendments and formal notices with in house and outside counsel. Write the internal approval memo and collect sign offs from Finance, Legal, Construction, Power and Operations. Hold the day to day channel with the developer and its counsel on deliverables, lists and dates, and escalate commercial points and misses. Visit the sites. Sit with developer and landlord management (not only the operations team) to see what is going wrong and what is going right, and turn what our construction leads are seeing into contract positions. Own version control, the notice calendar and the claims register. Help onboard two senior contract specialists on the team. You may be a good fit if you Have carried complex commercial agreements from term sheet to signature as the person holding the issues list, in real estate, energy, infrastructure, construction or project finance. Can read a lease, work letter or construction contract and say in plain English who carries which risk and what happens when a date is missed. Have held your ground with counterparties in challenging situations day after day without losing the facts or the relationship. Write short memos a busy executive can approve from. Are comfortable walking a construction site and asking management direct questions. Stay exact on versions and details when the timeline is days, not weeks. Have legal or commercial training. This is not a lawyer role and a law license is not required. Strong candidates may also Have worked on data center, power or heavy industrial development. Have amended, restructured or worked out a project that was already in trouble. Know their way around the lender consents and financing documents that sit behind a lease. Already use AI tools to compare documents, draft and track. We can teach Data center vocabulary (commissioning levels, power feeds, ready for service conditions). Our form documents and internal approval systems. Logistics Full time. Compensation: [to be set] Regular travel to project sites in the US. Not site based. Travel 30% of the time. 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: $1 — $2 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: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $209,000 - $243,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco, CA | New York City, NY 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 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 We are hiring a Power Supply & PPA Lead to own front-of-meter energy supply for Anthropic's non-cloud data center portfolio: the power purchase agreements and the wholesale and retail supply contracts that serve our grid-connected sites. As those sites energize, their load needs contracted supply, and these contracts will be among the largest long-term commitments the energy team makes. You will set the supply plan for each market, take it to generators and suppliers, structure and negotiate the agreements, and carry them through internal approval to signature. This supply is also central to Anthropic's ratepayer-protection commitment, so what a deal does for other customers on the system counts alongside price and term. You will work beside the teammates who originate sites and behind-the-meter generation, who buy and transport gas, and who schedule the portfolio once it operates. You are this function's first dedicated owner. Responsibilities: Own the front-of-meter supply plan for the United States: for each grid-connected site and market, how much load to contract, from whom, for how long, at what price structure, and by when, set against the site's ramp and the portfolio view of energy need. Take that plan to market. Build and keep relationships with generation owners, developers, independent power producers, and retail and wholesale suppliers; run competitive solicitations and bilateral negotiations; and compare offers on a like-for-like basis. Structure and negotiate PPAs, tolls, capacity agreements, and other long-term supply agreements from term sheet to signature, with legal and outside counsel: price and shape, delivery point and basis, congestion and curtailment, commercial operation dates and delay remedies for new-build projects, credit support, change in law, assignment, and termination. Make supply work under each market's rules: through retail providers and load-serving entities in competitive markets, and through utility tariffs, sleeved arrangements, and customer-sourced generation programs in regulated, cooperative, and public power territories. Work with the teammates who hold the utility relationship so the utility service agreement and the supply contract fit together. Design the supply portfolio to deliver Anthropic's ratepayer-protection commitment, and be able to show that it does: work with policy and outside analysts on how the effect on other customers is measured, and bring that test into deal selection and contract terms. Collaborate with Energy Finance on deal valuation and the risk view behind it: forward curves, shape and basis risk, capacity and ancillary costs, counterparty credit, and development risk. Carry commitments through internal approval: write the deal memo, state the price, the exposure, and the alternatives plainly, and answer questions from executives who do not work in energy. After signature, track new-build counterparties to commercial operation, manage amendments and disputes, and hand each contract to energy scheduling and portfolio in a form that can be operated. Support negotiation of utility service agreements and large-load tariff terms for grid-connected sites, manage the interconnection and load-study process, and represent Anthropic in tariff proceedings and ISO/RTO rule changes alongside policy and industry coalitions. You may be a good fit if you: Have 10+ years in power origination, structuring, or energy procurement, including PPAs or long-term supply contracts that you led from term sheet to signature. Have bought power for a large load (a data center operator, industrial, utility, cooperative, or retail supplier), or have sold to those buyers and know what they should have asked for. Know at least two US ISO/RTO markets (ERCOT, PJM, MISO, SPP, or others) well enough to price delivery point, basis, congestion, capacity, and ancillary costs into a deal, and understand how a large customer gets supply in a vertically integrated utility territory. Can build and interrogate a deal valuation yourself, and can say what a fixed-price, shaped, index, or block structure does to the buyer's exposure. Read and mark up a PPA yourself. You use counsel well, and you do not hand them the commercial judgment. Understand credit support and project finance well enough to know what a developer's lenders need from an offtaker, and what that is worth in the negotiation. Write and speak plainly about large commitments to people outside energy, and coordinate well across teams that do not report to you: finance, legal, policy, site origination, and scheduling. Have built a book, a program, or a function from zero, and are comfortable moving quickly on incomplete information. Strong candidates may also have: Experience contracting supply for data centers or other large, fast-ramping load. Experience with firm and shaped products: storage-backed and hybrid structures, tolling agreements, and offtake from new-build dispatchable or clean firm generation. Experience in regulated and public power territories: sleeved PPAs, utility green or clean-transition tariffs, and large-load tariffs and the provisions in them that protect other ratepayers. Experience with virtual PPAs, energy attribute certificates, and hourly matching or emissions accounting. Experience with Canadian energy markets. 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: $405,000 — $485,000 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 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 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 We are hiring a Gas Supply & Transport Lead to own natural gas supply for Anthropic's non-cloud data center portfolio in the United States and Canada. Some of our campuses will run on gas-fired, behind-the-meter generation. At those sites fuel is the power supply: if gas does not arrive, in the volume and at the pressure the plant needs, the compute does not run. You will set the fuel plan for each site, contract supply and firm transportation, work with our project teams so that interconnects and laterals arrive on a schedule the fuel plan can rely on, and carry the agreements through internal approval to signature. You will work beside the teammates who originate sites and behind-the-meter generation, who contract front-of-meter power, and who schedule the portfolio once it operates. You are this function's first dedicated owner. Responsibilities Own the fuel plan for each gas-fired site in the United States and Canada: volume and ramp, hourly swing, pressure and gas quality, supply basin and hub, the path from receipt point to plant, how firm each piece must be, and by when, set against the generation design and the site's schedule. Test gas deliverability early in site selection and diligence: available and expandable pipeline capacity, operating pressure, constraint and curtailment history, single-pipeline exposure, and realistic timelines for new capacity. Tell site origination which sites have a real fuel path and which do not. Structure and negotiate gas supply agreements with producers, marketers, and midstream companies, from term sheet through internal approval to signature, with legal and outside counsel: index and basis, volume flexibility, delivery point, firmness and force majeure, credit support, and term. Secure transportation and storage: firm service on interstate, intrastate, and Canadian pipelines, open seasons and precedent agreements for expansions, capacity release, balancing and no-notice services, storage, and local distribution service where that is the only path. Work with our project and power delivery teams, who own building the delivery infrastructure, to make sure the plans and schedules for taps, meter stations, laterals, compression, and pressure regulation are sufficient and viable for each site's fuel plan. Flag gaps early, and line up the interconnect terms with the supply and transportation agreements. Make the fuel contracts and the power contracts fit. Work with the energy commercial leads so that fuel supply obligations, heat rate and fuel cost pass-through, force majeure, and curtailment terms in energy services and tolling agreements line up with the gas agreements behind them. Design for fuel reliability at sites where an interruption means lost compute: second pipeline feeds, storage, backup fuel, cold-weather performance, and curtailment priority, with a plan for critical days and operational flow orders. Collaborate with Energy Finance on price and basis exposure, and with energy scheduling and portfolio on operations. Financial hedging sits with Finance, and nominations and balancing sit with scheduling. You supply the physical position and the market view, and hand over contracts in a form that can be operated. You may be a good fit if you Have 8+ years in natural gas midstream, pipeline commercial, gas marketing and origination, or fuel procurement for power generation, including firm transportation or long-term supply deals that you led from term sheet to signature. Have bought gas and capacity for gas-fired generation or another large load, or have sold to those buyers and know what they should have asked for. Know how pipelines work commercially: rate schedules, nomination cycles, imbalance and penalty provisions, operational flow orders, capacity release, and how interstate, intrastate, and Canadian regimes differ. Know the major producing basins and trading hubs in the United States and Western Canada well enough to price basis, compare paths, and judge supply risk. Know what it takes to get a pipeline interconnect, meter station, or lateral from first request to in-service, and what drives the schedule. Read and mark up a base contract, a precedent agreement, and a firm transportation service agreement yourself. You use counsel well, and you do not hand them the commercial judgment. Can build and interrogate a delivered cost of gas model yourself. Write and speak plainly about large commitments to people outside energy, and coordinate well across teams that do not report to you. Have built a book, a program, or a function from zero, and are comfortable moving quickly on incomplete information. Strong candidates may also have Experience supplying behind-the-meter, islanded, or peaking generation, where takes are not ratable and hourly flexibility matters. Commercial experience in both the United States and Canada. Experience on the pipeline side of an expansion or greenfield lateral, including the federal, state, or provincial approvals it needed. Experience with trucked LNG or CNG, on-site storage, or other bridging and backup fuel arrangements. Time on or alongside a physical gas trading or scheduling desk. Experience with certified low-methane gas, renewable natural gas, or emissions accounting for fuel supply. 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: San Francisco, CA | New York City, NY 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. What is the need and role Anthropic's mission depends on compute, and compute depends on power. Today, energy is increasingly the binding constraint on how fast frontier AI infrastructure comes online. The energy team sources, structures, and contracts that power, and its work touches nearly every part of the company and a growing set of people outside it. We're looking for someone to join the energy team in a special projects role: to take on the problems that don't sit inside any one deal or region, and to carry them wherever they lead. That means working in three circles. Inside Compute, with the teams that site, design, build, finance, and operate our data centers. Across Anthropic, with policy, legal, communications, finance, and the other teams that need energy depth or whose work shapes ours. And outside the company, with FERC, state commissions and agencies, RTOs and ISOs, utilities, industry working groups, and other large energy customers. It's a "figure it out / get it done" role for someone who can chase down issues while bringing real depth in energy: the kind of person who can untangle a power delivery problem with design and delivery in the morning, brief the policy team on what a FERC proceeding means for our sites in the afternoon, speak for us on a working group call the next day, and then pick up an unrelated problem the energy team needs solved that week. Much of the job is building coalitions among complex, multi-functional groups of stakeholders, and then running the project all the way to completion. What you'll do 1/ Inside Compute Working with the head of energy, pick up cross-functional problems as they arise that have no natural owner, work them with the teams involved to a decision, process, or tool, then hand them off and move on to the next one. Connect the energy commercial leads with site selection, data center design, delivery, operations, and finance, so that everyone plans on the same assumptions about power: when it arrives, how much, how reliable, and at what cost. Write the strategy documents, decision memos, and leadership updates that explain the energy team's choices to executives who do not work in energy. Build the processes and tools, with Claude, that keep the team's commitments, open decisions, and stakeholder record current, so none of it depends on one person's memory. Run the team's planning rhythm: priorities, headcount plan, consultant roster, and follow-up on open decisions. 2/ Across Anthropic Be the energy team's first point of contact for policy, legal, communications, community relations, finance, and other teams, and make sure their questions get a fast, accurate answer from the right person. Serve as an energy subject matter expert for the policy team and work with them on the company's positions on energy issues. Give communications and community relations plain answers on what a site's power supply means for local rates, reliability, and emissions. Keep what we sign and what we say in public consistent with each other and with Anthropic's ratepayer-protection commitment. Prepare energy team leaders and executives for outside meetings, panels, and testimony, and follow through on what comes out of them. 3/ Outside the company Represent the energy team in the industry working groups, trade associations, large-customer coalitions, and research collaborations we belong to: sit in the room, shape the work, and bring back what matters. Working with policy and legal, engage with FERC, state commissions, agencies and legislatures, and RTO and ISO stakeholder processes on the issues that affect our portfolio. Tell the commercial leads what a proposed tariff or rule does to a deal early enough to change the negotiation. Build and keep relationships with utilities, grid operators, regulators' staff, and counterparts at other large-load customers. Manage the outside counsel, consultants, and analysts who support this work: scope, budget, and quality. You may be a good fit if you Have 6+ years in energy policy, energy markets, or energy strategy. Have built coalitions among complex, multi-functional stakeholder groups, inside and outside your own organization. Have run projects to completion, from an unclear question to a finished result, across teams that do not report to you. Can read a tariff, an energy services agreement, or a FERC order yourself and explain what it means commercially for a large customer. Know how state commissions and RTO or ISO stakeholder processes work in practice. Write quickly and plainly, for executives outside energy and for outside audiences. Have good judgment about what to say in public, who should say it, and when to say nothing. Are comfortable with unscoped work and with switching between very different problems in the same week. Strong candidates may also have Experience with data centers or other large loads, on the customer, developer, or utility side. Commercial experience: time spent negotiating utility service agreements, energy services agreements, or PPAs, or advising the people who do. Time in a chief of staff, strategy, or consulting role. Direct experience in a FERC or state commission proceeding, or in an RTO or ISO working group. Familiarity with gas as well as power. 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 — $405,555 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.