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Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM   This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.     ABOUT THE ROLE   You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$315,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking an early-career developer to join our Quantitative Trading and Research Operations team, which sits within our broader Quantitative Strategies department. The successful candidate will support the  Quantitative Strategies department by developing, maintaining, and refactoring code used in research and trading, with a particular focus on improving the reliability and maintainability of existing programs. This individual will work closely with researchers and follow established development and code review processes, including regular interaction with the firm’s Quality Assurance Committee. The ideal candidate enjoys hands-on development, troubleshooting, and improving existing systems within an evolving production environment. Responsibilities Partner with the Quantitative Strategies department to develop, maintain, and improve code supporting research and trading activities Review, refactor, and update legacy programs to meet established coding standards and improve reliability, maintainability, and computational performance Provide ongoing maintenance and support for both existing systems and newly developed tools Develop and maintain test cases to validate code changes and help prevent errors and system failures Follow established development and code review processes, working regularly with the Quality Assurance Committee and incorporating feedback from senior leaders across Technology and Data Analyze system financial and computational performance and execute trades Support engineering initiatives related to trading system implementation, computational resource utilization, build and deployment processes, containerization, and evaluation of cloud computing Requirements Bachelor's degree in computer science or a related field Strong Python skills Strong program design fundamentals and refactoring experience Knowledge of CI/CD process Comfortable working in the command line on Unix Comfortable using version control, such as Git General familiarity with PowerShell Familiarity with SQL and other enterprise database structures Excellent interpersonal and communication skills Coursework in cybersecurity is a plus Familiarity with cloud compute and general infrastructure design is a plus Knowledge of R and MATLAB and familiarity with writing test cases is a plus Ability to work independently and collaboratively in a dynamic, fast-paced environment This role requires commuting into our Rowayton, CT office Mondays through Fridays. Base Salary Range The anticipated salary range for this position is $90,000 to $125,000.  The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles. pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Location: Argentina Remote Workplace: Remote ABOUT THE TEAM  The Admin & Identity and Access Management (Admin & IAM) team at Mural defines how users sign in, manage their identities, and access Mural's products, as well as how administrators configure and govern their organizations. We own authentication & authorization, Single Sign-On (SSO), Multi-Factor Authentication (MFA), user provisioning (SCIM), session management, and the core permission model that powers roles and access control across companies and workspaces. We also own the enterprise administration experience; the configuration and controls that company and workspace admins use to manage their organizations and users. By providing secure, clear, and intuitive controls for users and administrators, we help organizations adopt Mural quickly and collaborate with confidence. YOUR MISSION  As a Senior Software Engineer on the Admin & IAM team, you will design and ship these capabilities end-to-end, from identity primitives like the permission model and authentication flows to the admin surfaces enterprise customers use every day. Senior Engineers on Admin & IAM own complex technical initiatives, influence platform and security best practices, and collaborate closely with Product, Design, and Infrastructure to deliver secure experiences that feel simple and intuitive. You will report to an Engineering Manager and work with a small, focused team in a remote-first environment, with the option to work from our Buenos Aires office. WHAT YOU'LL DO - Build and evolve core identity and access systems that power authentication & authorization, SSO, user provisioning, session management, and permissions across Mural - Build and evolve the enterprise administration experience, including company and workspace configuration, user and content administration, billing, and internal admin tooling - Collaborate with cross-functional partners to design and ship secure, intuitive access and administration experiences for users and administrators - Prototype, implement, and maintain Admin & IAM platform features, contributing as a technical expert and supporting teammates through collaboration and mentorship - Own technical initiatives from design through implementation, rollout, and operational support - Build flexible, observable and maintainable solutions while being accountable for security, quality, performance, and reliability - Use AI tools as a part of your fundamental workflows to improve productivity, code quality, and system understanding - Contribute to technical design discussions, provide thoughtful code reviews, mentor teammates, and continuously improve the quality of the team's engineering work - Contribute to continuously improving the team's processes and engineering best practices  WHAT YOU'LL BRING -  4+ years building and shipping large-scale production software as part of an agile engineering team - Experience learning new technologies, platforms, and stacks, and getting productive quickly in large, existing codebases - An outcome-oriented and pragmatic interest in using AI-driven development practices to improve productivity, code quality, and system understanding - Strong experience building backend systems and APIs using Node.js, TypeScript / JavaScript, MongoDB, or comparable technologies - Hands-on experience building production user interfaces with React and modern frontend patterns - Proven ability to plan and deliver technical projects iteratively, balancing speed, quality, and long-term maintainability - Strong collaboration and communication skills, with the ability to work effectively across product, design, security, and engineering partners - Experience working in a fast-moving or growth-stage environment, adapting to evolving requirements and priorities - Domain experience with identity and access management concepts such as authentication flows, authorization models, roles and permissions, SSO, SCIM provisioning, or session management - Experience building enterprise administration or B2B SaaS configuration surfaces, such as org management, billing, or admin dashboards Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. . EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We're looking for a Senior Staff Software Engineer to join our Payments Team, based in the Hong Kong. Payments is where OKX meets the real financial world. Our team has built and operates the infrastructure connecting OKX to dozens of payment channels across global markets, giving users deposit and withdrawal options that are fast, convenient, and — most importantly — trustworthy. That platform moves and safeguards user assets at institutional scale, continuously, across time zones and regulatory environments. This is not a greenfield team looking for its footing. The team is established, the platform is in production at scale, and we are actively expanding — both in scope and in headcount. That combination is rare: you get the leverage of joining a growing team where your work visibly shifts the roadmap, along with the discipline that comes from a system already trusted with real money. It's also an unusually good place to learn. Payments is a domain that's hard to pick up from the outside — every market has its own rails, its own settlement behavior, its own failure modes, its own compliance expectations. Here you'll work across a wide range of payment methods and channels, and you'll build the judgment that comes from operating financial systems where the stakes are real: how to design for correctness when money is on the line, how to reconcile, how to recover, how to keep a platform observable enough that you find problems before your users do. You'll work closely with product managers, designers, and partner-facing teams, and you'll set the technical bar for the engineers around you — through design docs, code reviews, and the everyday habit of doing things properly when nobody's watching. If you like the sound of a team where the problems are genuinely hard, the standard is high, and your opinion changes the outcome, we'd like to talk. What You’ll Be Doing Design and build the core. Develop high-scale, 24/7 APIs and distributed payment services across multiple cloud providers, using Java and Spring Boot as the primary stack. Own systems end to end — from design doc through production ownership. Expand our global reach. Help integrate and scale new payment channels and methods across markets, each with its own technical, operational, and reliability characteristics. Protect user assets. Build for correctness first: consistency, idempotency, reconciliation, failure recovery, and the operational tooling that lets us stand behind every transaction. Set the technical bar. Participate actively in design and code reviews, giving and receiving direct, constructive feedback. Help evolve the standards a growing team builds on. Solve the hard problems. Investigate complex distributed-systems challenges and drive them to resolution rather than handing them off. Partner across functions. Work with product, design, and partner teams across regions to turn ambiguous requirements into shipped systems, and to unblock dependencies before they become delays. Grow the team's capability. Mentor engineers and share what you learn. Seniority here is measured in leverage, not just output. Stay curious. Keep pace with a fast-moving industry and bring the good ideas back. What you'll take away from this role Deep, practical fluency across a wide range of global payment methods and channels — knowledge that is genuinely hard to acquire anywhere else Experience designing and operating systems entrusted with substantial user assets, where correctness and recoverability are non-negotiable A track record of shipping in a regulated, high-stakes domain at real scale What We Look For In You 8+ years of backend software development experience, with a proven track record of building and operating high-availability, large-scale applications. Strong engineering fundamentals — data structures, algorithms, concurrency, and software design patterns — and the judgment to know when to reach for which. Ownership instinct. You take responsibility for outcomes, not just tickets. When something's broken or unclear, you move toward it. Ability to drive cross-team collaboration, managing complex dependencies and competing requirements without losing momentum. Excellent problem-solving skills, and comfort operating with autonomy in a fast-paced environment. Strong written and verbal communication. You can explain a complex technical trade-off to an engineer and to a non-technical stakeholder, and land it with both. Genuine interest in crypto or fintech, and in building things that make money move better. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SOFTWARE DEVELOPMENT ENGINEER in TEST Contract role, 12 months Hybrid status Open in San Mateo and San Diego We are looking for a Software Development Engineer in Test to join our System Integration Team at Sony Interactive Entertainment. In this role, you will support quality engineering for customer-facing applications in a fast-paced, dynamic environment, helping ensure that new and existing features meet a high bar for reliability, usability, and overall player experience. Responsibilities Review product requirements and design documents to create effective testing strategies Build concrete test plans, write test cases and execute them to ensure quality of features Implement and maintain test automation scripts to increase test coverage and stability Develop, maintain and improve test automation framework Report, track and verify defects as well as monitor Automation jobs Provide status reports to Leadership and other key partners Work with the infrastructure team to maintain common services such as CI test pipelines Required Qualifications Bachelor’s degree in Computer Science or related field, or ability to demonstrate equivalent knowledge 3+ years experience in UI automation for web or native applications Validated experience in Software testing life cycle Experience with version control solutions (both centralized and distributed) Experience maintaining CI systems (Jenkins preferred) Experience with Selenium or Appium Experience in one or more Programming/Scripting Languages, preferably Python. Preferred Qualifications Experience with at least one modern web application framework such as Angular/Ember.js/React Experience developing or testing a non-PC device (phone/game console/set-top box, etc.) Experience with Agile methodologies Significant experience with Python Experience with Node.js, React Native Experience developing or writing test code for a game console About You You have a strong drive and passion for quality and can help inspire, motivate, and influence team members toward better engineering outcomes. You communicate clearly and professionally with partners at all levels, including technical teams, product stakeholders, and project leads. You are effective at working with geographically distributed and culturally diverse teams. You are curious, proactive, and willing to go beyond immediate assignments to deeply understand the systems you support. You are comfortable asking questions, identifying risks early, and helping the team make informed quality and release decisions. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United Kingdom; Dublin; United States; New York; Sofia; Germany; Portugal; Poland; Madrid; Boston; Amsterdam; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for back-end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include:   - Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users. - Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions. - Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure. - Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc. - Knowledge about test design and security fundamentals. - Bonus: - Experience with Kubernetes. - Experience with Stripe or other payment processing providers. - Basics about how AI models work. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). 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: United Kingdom Remote; Canada Remote; Argentina Remote ABOUT THE TEAM The Canvas Core team builds and maintains the foundational platform that powers Mural’s visual thinking experience. This includes the infinite canvas, key editor components, document editing behaviors, asset management, real-time collaboration, and the systems that enable fast, reliable, and intuitive interaction on the canvas. We’re also responsible for the Mural UI, the real-time message protocol that enables seamless remote collaboration, and the developer-friendly APIs that internal teams use to build features like diagramming, workshops, presentations, integrations, and AI-enabled product capabilities. Our mission is to ensure the Mural editor is fast, reliable, intuitive, and easy to build on. We prioritize performance, simplicity, developer experience, and platform quality, enabling teams across the company to ship quickly and safely on top of Canvas Core. YOUR MISSION As a Senior Software Engineer, you’ll help design, build, and improve the Canvas platform so that the Mural editor remains reliable, high-performing, and intuitive for our users. You’ll work on the systems that power real-time collaboration, shared document editing, spatial interactions, rendering and interaction performance, asset management, developer APIs, and AI-enabled product capabilities across the Mural editor. Your role will be to reduce platform complexity, improve the quality and speed of Canvas development, and help teams ship high-quality editor experiences quickly and safely. You’ll partner closely with Product, Design, Engineering, and other stakeholders to turn ambiguous product and platform problems into clear, maintainable technical solutions. Senior Engineers at Mural lead by example through strong technical execution, thoughtful design, high-quality implementation, and collaborative problem-solving. They help raise the bar for their team through design discussions, code reviews, mentoring, documentation, and pragmatic improvements to engineering practices. WHAT YOU’LL DO - Own and deliver new Canvas platform capabilities and improvements from problem definition through implementation, release, measurement, and iteration - Partner with Product and Design to shape high-quality user experiences, balancing pragmatic technical delivery with long-term platform needs - Design and build maintainable Canvas platform systems, with accountability for quality, performance, reliability, and developer experience - Contribute to developer-friendly APIs, service boundaries, and platform contracts that internal teams can build on quickly and safely - Use AI-assisted tools and agentic workflows as part of your engineering practice to prototype, implement, test, document, and measure work effectively - Strengthen the team through technical design reviews, demos, code reviews, mentoring, and improvements to engineering practices - Build and evolve canvas systems with rich document and object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, and selection mechanics - Work on large-scale concurrent and real-time collaboration systems that keep shared documents synchronized across users, contributing to design decisions around event ordering, latency, conflict handling, and failure-mode management - Help design, build, and integrate AI-enabled product capabilities where they intersect with the canvas, document model, real-time collaboration systems, or developer platform - Improve performance through profiling, bottleneck analysis, architectural simplification, targeted optimization, and moving expensive work out of critical interaction paths so systems remain responsive as document complexity and user activity scale WHAT YOU’LL BRING - Fluency in modern JavaScript/TypeScript, with familiarity in React, Node.js, or comparable modern frameworks - 6+ years building and shipping large-scale production software as part of an agile engineering team - Strong engineering judgment, with experience designing and delivering scalable, reliable, high-performance systems and developer-facing abstractions that balance simplicity, developer experience, and long-term maintainability - Experience designing clean API contracts and service boundaries, including thoughtful data models, versioning, validation, error handling, documentation, and long-term maintainability - Experience building distributed, concurrent, collaborative, or low-latency systems, such as collaboration tools, MMO games, shared-state systems, messaging protocols, or other low-latency user experiences, with familiarity across synchronization, consistency, event ordering, latency, failure modes, and performance trade-offs - Exposure to complex systems with rich object models, including hierarchical scene or document structures, spatial indexing and querying, layout behavior, asset management, selection mechanics, and performance-sensitive user interactions is a strong plus - Interest in AI-enabled product capabilities, or hands-on experience building or integrating them in production, such as intelligent editing, automation, recommendations, semantic document understanding, or collaboration features powered by AI - Performance optimization experience, including profiling, bottleneck analysis, memory and CPU efficiency, latency reduction, and responsiveness as document complexity and user activity scale - Familiarity with parallel processing, off-main-thread architectures, rendering pipelines, background computation, or other multithreaded systems is a plus - Practical experience using AI-assisted tools to prototype, implement, test, document, and measure engineering work - Communication and collaboration skills, with a low-ego approach to working with Product, Design, and Engineering, and the ability to contribute meaningfully to technical discussions, collaborate across teams, and help improve team engineering practices - Comfort operating in high-growth, fast-paced environments or scale-ups is a plus Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for an experienced Product Manager to develop and maintain our core API trading products. This includes managing internal and external stakeholders, developing product iteration plans, establishing and maintaining standards, translating user stories into an API specification, completing competitor analysis, and more. What You’ll Be Doing Gather business requirements and API feedback from both internal and external sources, such as feedback from institutional customers, and continuously improve the API product through effective iterative mechanisms. Study the competitive landscape and industry trends, transforming this information into actionable API product iteration plans that align with the company's actual needs. Utilize data analytics to create data-driven insights to understand client behaviour. Cultivate and maintain robust relationships with customers and strategic partners, using their feedback to guide product enhancements and future development. What We Look For In You Demonstrates a strong interest in both the blockchain and finance industries. Minimum 5 years of experience in Product Management or Engineering, preferably related to trading or technology platforms. Bachelor's or Master's degree in Engineering, Mathematics, or Finance. Proactive and self-driven, with a logical and data-driven mindset, strong team collaboration skills, and effective communication abilities. Proficiency in English & Conversational Mandarin (preferred to cross functionally communicate with non-english speaking engineers). Nice-To-Haves Experience in crypto, blockchain, building businesses, fintech, and/or financial markets. Experience in trading financial products, such as stocks, funds, forex, futures, options. Knowledge in data analytical tools like Python and SQL. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for an experienced Product Manager to develop and maintain our core API trading products. This includes managing internal and external stakeholders, developing product iteration plans, establishing and maintaining standards, translating user stories into an API specification, completing competitor analysis, and more. What You’ll Be Doing Gather business requirements and API feedback from both internal and external sources, such as feedback from institutional customers, and continuously improve the API product through effective iterative mechanisms. Study the competitive landscape and industry trends, transforming this information into actionable API product iteration plans that align with the company's actual needs. Utilize data analytics to create data-driven insights to understand client behaviour. Cultivate and maintain robust relationships with customers and strategic partners, using their feedback to guide product enhancements and future development. What We Look For In You Demonstrates a strong interest in both the blockchain and finance industries. Minimum 5 years of experience in Product Management or Engineering, preferably related to trading or technology platforms. Bachelor's or Master's degree in Engineering, Mathematics, or Finance. Proactive and self-driven, with a logical and data-driven mindset, strong team collaboration skills, and effective communication abilities. Proficiency in English & Conversational Mandarin (preferred to cross functionally communicate with non-english speaking engineers). Nice-To-Haves Experience in crypto, blockchain, building businesses, fintech, and/or financial markets. Experience in trading financial products, such as stocks, funds, forex, futures, options. Knowledge in data analytical tools like Python and SQL. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. Background in accounting, accounts payable, or a month-end close process. Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. Experience with software asset management or license optimization, including identifying underused or redundant tools. Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. 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: $190,000 — $230,000 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: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $165,000 to $190,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working. We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see. Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions. Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly. Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples. Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it. Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online. Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs. Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high. What You Bring To The Team: 6+ years of professional software development experience, including building and operating production backend systems Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Experience with AWS, Azure, or other public cloud environments Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK) Experience building evaluation pipelines or datasets for ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth #BI-REMOTE Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

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 the role As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. 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: $305,000 — $385,000 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: Stockholm, Sweden; Wien, Austria; Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Keet is a fully peer-to-peer messaging and video calling app built on Holepunch's P2P stack. There are no servers, no middlemen, and no data harvesting. People talk directly to each other, with end-to-end encryption by design. We're taking Keet to a billion users, competing head-on with WhatsApp and Telegram. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up at global scale. You lead the teams that build Keet's features: the API team, which adds feature-focused APIs to Keet's core, and the frontend team, which builds the React app on top, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for distributed, local-first systems, so you can work fluently on top of a P2P engine without needing to build it yourself. Responsabilities Engineering Run the API and frontend teams day to day: unblocking, reviewing, and keeping them shipping. Set and hold a high engineering bar for performance, reliability, and clean APIs. Own the technical design of features and the API surface between Keet's core and the app. Make sure the API team works closely with our deep tech teams on code reviews, design, and anything that touches the engine. Product Partnership Work alongside Keet's product managers to turn vision and roadmap into scoped, buildable work. Push back when scope and reality don't match, and propose better paths when they exist. Bring an engineering perspective to product decisions, especially where P2P opens doors that centralized apps can't. Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership Create clarity around team goals and make sure everyone knows what success looks like. Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders. Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Experience managing engineers or engineering leads who ship consumer product, ideally in chat, calling, or social apps. Strong product sense: you can tell a good feature from a busy one. Intuition for distributed and local-first systems. Offline-first and eventual consistency should feel natural. You don't need P2P protocol expertise, because our core abstracts it away. Deep JavaScript and React. Initiative, curiosity, resilience, and the ability to give and receive direct critique. Bonus: experience with local-first apps, CRDTs or sync engines, offline-capable mobile or desktop apps, or open source.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles Spot patterns in support requests, surface recurring issues, and flag opportunities to automate Help streamline onboarding and other high-volume operations as we scale Contribute to automation efforts Maintain and improve device management, identity, and access systems Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications Hands-on IT support experience, ideally in a fast-paced environment Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android Experience with Google Workspace administration Experience with Slack administration, including workspace management, permissions, and troubleshooting Experience supporting and administering other SaaS tools Understanding of identity and access fundamentals: SSO, MFA, directory services Familiarity with MDM fundamentals and endpoint management concepts Basic scripting (Bash or Python) for automation Strong troubleshooting skills, with a methodical and persistent approach Clear communicator who enjoys helping people solve problems Take ownership of problems and follow through until they're resolved Preferred qualifications Familiarity with zero-trust security concepts and endpoint security tooling Networking basics: DNS, DHCP, VPNs Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns Experience using AI tools to improve personal or team productivity Interest in developing deeper technical skills and taking on more complex systems administration over 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: €125.000 — €165.000 EUR 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, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Senior Backend Engineer, you will design, implement, and evolve product capabilities while solving high-scope backend problems and influencing the technical and product direction of our teams. You will move beyond "assigned work" to actively improve the quality, reliability, and performance of our systems. You will work across product, frontend, infrastructure, data, and security boundaries, making sound architectural trade-offs, communicating complex ideas clearly in an asynchronous environment, and helping define the standards for a high-scale, global product. Why you’ll love this role High Impact: You aren't just shipping features; you are shaping the architecture of a global platform used by millions. Technical Agency: You will influence team objectives, technical direction, and long-range goals, helping us solve problems of high scope and complexity. Innovative Culture: You will get to experiment with and integrate agentic AI into production engineering workflows, moving beyond simple prompt engineering to build resilient, AI-assisted systems. Autonomy: You will thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, ensuring every technical decision delivers genuine value to our users. What you’ll do Drive Technical Direction: Design and ship moderate to complex backend features with minimal guidance, making pragmatic choices between modular-monolith code, shared components, or independently operated services. Raise the Bar: Advocate for product quality, security, availability, and performance. You will define backend standards for style, maintainability, testing, APIs, and operational readiness. Mentor & Lead: Mentor associate and intermediate engineers, remove technical blockers, and improve team delivery practices through code and design reviews. Operational Excellence: Diagnose and prevent performance/reliability issues at scale. Participate in incident response and act as a technical owner where appropriate. AI Integration: Use AI in production engineering work to improve outcomes, evaluate its effectiveness, and coach others on responsible, high-judgment use. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Deep Backend Expertise: A strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Adaptability: Proficiency in modern backend languages and a deep understanding of systems programming. We value the ability to learn and adapt over mastery of a single language. Architectural Judgment: Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Influence: Ability to lead through influence, technical judgment, and clear written communication, effectively bridging the gap between product needs and technical reality. Agentic AI Expertise: Proven experience building or operating agentic systems in production—moving beyond prompt engineering to architecting loops, tool-use, and error-handling strategies that ensure reliability at scale. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Electrical Engineer II to help advance the performance, reliability, and scalability of WHOOP wearable technology and supporting hardware. As a member of the Hardware Engineering team, you will play a hands-on role in designing, testing, characterizing, debugging, and improving electrical systems throughout the product lifecycle, from early development and prototyping through high-volume production and continuous improvement. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams to investigate complex technical challenges, develop and validate robust solutions, and drive improvements in product performance, quality, reliability, and manufacturability. RESPONSIBILITIES: - Design, test, characterize, debug, and optimize low-power, mixed-signal electronic circuits and systems across new product development and continuous improvement initiatives - Contribute to schematic design, component selection, PCB development, hardware prototyping, board bring-up, and design iteration to improve system performance, robustness, and manufacturability - Develop and execute electrical experiments, characterization plans, and validation testing to understand system behavior, investigate failures, identify root causes, and guide engineering decisions - Analyze test data and troubleshoot electrical issues to drive improvements in circuit performance, power consumption, signal integrity, reliability, production yield, and cost - Collaborate across Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams, as well as with suppliers and contract manufacturers, to resolve technical challenges and implement robust hardware solutions - Support hardware through design verification, validation, new product introduction (NPI), and ongoing production, including engineering change orders (ECOs) and design improvements; travel up to 15% domestically and internationally to collaborate with partners and suppliers QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 3+ years of relevant electrical engineering experience designing, developing, testing, debugging, or supporting electronic hardware - Strong understanding of electrical engineering fundamentals, including analog and digital circuit design, power management, signal integrity, component fundamentals, and common communication interfaces - Hands-on experience designing, prototyping, testing, characterizing, and debugging electrical circuits and systems using standard laboratory equipment - Experience reading and developing schematics and working with ECAD tools such as Altium or equivalent - Experience with hardware development, validation, or production support, including exposure to design verification, failure analysis, design iteration, or manufacturing processes - Strong analytical and problem-solving skills, with the ability to use data, experimentation, and cross-functional collaboration to investigate complex technical problems and drive effective solutions - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000 - $150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.