Вакансии

Location: Washington Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.   We’re looking for experienced Certified Shorthand Reporters to partner with Filevine as an independent certified court reporting professional through our deposition services network.   This is an exciting opportunity to work with a court-reporter-first company that’s redefining the deposition experience, while making sure reporters are supported and respected. As part of our network, you’ll get access to a robust nationwide marketplace of job opportunities and white-glove operational support that help you focus on delivering exceptional transcripts — not hassling with logistics. Responsibilities Capture and deliver high-quality, verbatim transcripts of depositions and other legal proceedings Use CAT software to scope, proofread, and finalize certified transcripts to the highest standards. Manage proceedings with professionalism, ensuring punctuality, accuracy, decorum, and adherence to procedural rules in your jurisdiction. Mark and manage exhibits. Collaborate with our operations team as needed for scheduling, setup, and technical coordination. Submit completed transcript files within appropriate turnaround time and invoices for prompt payment. Qualifications Current Washington Certified Court Reporter certificate (CCR) from the WA Dept. of Licensing is required. Proven ability to deliver accurate transcripts on deadline. Expertise with CAT software (e.g., Case CATalyst, Eclipse, etc.) and related digital tools. Professionalism, confidentiality, and a client-service mindset when working with attorneys, witnesses, and clients. Strong communication skills and adaptability in fast-paced, high-stakes settings. Why Work With Us?   Unmatched support — tech setup assistance, live troubleshooting, and a responsive operations team to provide support with any questions or concerns you might have. Access to a nationwide job marketplace — with the flexibility to choose assignments that fit your schedule. Innovation at your fingertips — modern online portal to streamline your work. Competitive rates —offer competitive page rates, appearance fees, and additional fees in your market area. Flexibility - offer remote and in-person to accommodate your schedule. Fast payment — we complete your payment within 5 business days of invoice approval.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas; Lisbon, Portugal; London, UK About the role The Network Platforms team was formed to build and extend network software infrastructure responsible for delivery of traffic through critical paths of Cloudflare's global network. These systems directly impact traffic across Cloudflare's network infrastructure, across numerous products and millions of customers. They are key to Cloudflare's mission to make the internet faster, safer, and more reliable. What you’ll do As a member of the team you will build and extend various software systems that carry traffic on critical paths of Cloudflare's network: from the host server linux kernel, to the network hardware dataplane, to the physical interconnect at an adjacent network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will collaborate with engineers across the company, from operations teams to the teams building customer-facing products, ensuring these capabilities match business needs. Our team at Cloudflare operates under a "Run What You Build" model. This means we are responsible for the health of our systems and actively participate in our team's on-call rotation as part of our operational duties. What we are looking for We are looking for smart, innovative team players that have experience in covering Linux kernel network stack development (particularly with eBPF), complex distributed systems, and understanding of internet protocols and technologies. As you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Role requirements Systems-level programming experience in Go, Python, Rust, C, or C++ A solid grasp of BGP and internet routing Relish opportunities to dive into new technologies, and a demonstrated ability to do so Experience in implementing, deploying, and debugging mission-critical distributed systems Strong collaboration and communication skills Willingness to adopt and integrate AI tools and systems into your engineering workflow Bonus Points Familiarity vendor switching SDKs Familiarity with SR-MPLS and sFlow, BGP-LS & PCE protocols Experience writing packet-processing software (eg, eBPF at TC or XDP, DPDK) Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting Experience participating in an on-call rotation Compensation ● For Portugal based hires: Estimated annual salary is between €68,000-91,000€, The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what’s broken without waiting, chase trends before they peak, and remember to have fun through it all. ABOUT THE ROLE A highly skilled Solutions Engineer to join our team and help customers, partners, and institutional clients successfully integrate and scale with our stablecoin and blockchain infrastructure. As a key technical liaison between our product, engineering, and business teams, you will design and deliver solutions that demonstrate the reliability, security, and utility of our technology across diverse use cases—including payments, remittances, DeFi, treasury automation, and enterprise blockchain integrations. This is a hybrid role that blends technical expertise with customer-facing communication. You will act as a trusted advisor, guiding clients from initial discovery through implementation and long-term success. WHAT YOU'LL DO - Understand client technical requirements and architect integrations using our APIs, SDKs, wallets, and blockchain infrastructure - Scope and design end-to-end solutions for stablecoin issuance, transfers, treasury operations, and blockchain connectivity - Create integration plans, technical diagrams, and deployment recommendations tailored to each client’s environment - Serve as the primary technical point of contact during pre-sales, onboarding, and early adoption phases - Run technical workshops, demos, and Proofs of Concept (POCs) to showcase product capabilities - Collaborate with enterprise customers, fintechs, exchanges, and ecosystem partners to ensure successful implementation - Provide hands-on guidance during integration, working closely with developers, DevOps teams, and security stakeholders - Diagnose and resolve API, blockchain, and infrastructure-level issues, escalating to engineering when needed - Advocate for best practices around operational security, key management, transaction monitoring, and compliance-friendly architecture - Gather customer insights to influence product roadmaps and feature prioritization - Partner with Sales, Product, and Engineering to deliver scalable and repeatable technical solutions - Contribute to technical documentation, integration guides, and internal playbooks WHAT WE'RE LOOKING FOR - 3–7+ years of experience in Solutions Engineering, Sales Engineering, Technical Consulting, or similar roles - Strong understanding of blockchain fundamentals, distributed systems, and crypto payment flows - Experience working with REST APIs, Webhooks, SDKs, and backend integration patterns - Hands-on coding ability in at least one language (e.g., JavaScript/TypeScript, Python, Go, Rust) - Ability to simplify complex technical concepts for both technical and non-technical audiences - Excellent communication, client-facing, and project management skills NICE TO HAVE, BUT NOT MANDATORY - Experience with stablecoins, custody systems, digital wallets, or payment rails - Familiarity with blockchain protocols such as Ethereum, Solana, or Layer-2 scaling networks - Knowledge of compliance-relevant concepts such as KYC/AML workflows, transaction screening, or on-chain analytics - Prior experience supporting enterprise or fintech integrations THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? We’re hiring an Engineering Manager for our Product Workstreams in the AI Group . The AI Group’s product workstreams, partner with the wider product org to build the AI capabilities that underpin Fin. These workstreams do not act as ‘AI services’ for the wider org; they are instrumental in shaping AI products from the earliest stages and owning their ongoing development. Product workstreams are composed of EMs, PMs, Engineers, AI Designers, and Machine Learning Scientists. You will lead our Berlin-based product engineers in the AI Group and will be a key leader of our Berlin hub, helping it grow. You will also work across Fin's core capabilities, such as Skills, Personalisation, Procedures and Safety, and contribute directly to delivering new Fin products from inception. This is a hands-on EM role. You will lead a senior team of engineers and stay hands-on in the codebase. An EM who regularly works alongside ICs builds the context to make good strategic decisions and to support engineers well. Contributing to Fin’s central AI system, architecture and experimentation are core to the job. Learn more about Fin's AI engineering and research at Fin /research , and more about Fin at fin.ai . What will I be doing? As a hands-on leader, you will: Lead and grow a high-performing engineering team based primarily in Berlin, with members across our European offices. Incubate and deliver AI products from ideation through to success, leveraging backtests, evals and A/B tests to inform what ships. Contribute directly to our production systems so you keep first-hand context. Own operational health for your workstreams: SLOs, alarms, and proactive management of our most critical systems. Plan, prioritise and deliver best-in-class AI products with your most senior engineers, ML Scientists, PMs and AI Designers. Make AI-first the team default. Build shared skills, agents, and automations that raise the bar for the team’s output and ambition. Hire and onboard great engineers, and help them build the Berlin office. What skills do I need? Must-haves: Strong prior experience as an engineer, with recent hands-on technical contributions. Strong technical judgement, and the ability to coach senior engineers through complex architecture and product trade-offs. Strong product sense: you can weigh AI product opportunities and decide what matters most. A data-driven approach: you use experiments and metrics to make decisions. Strong ownership of production quality and reliability. An adaptable leadership style for a group and environment that will grow fast and change shape. Nice to haves: Experience leading engineering teams that build and operate generative AI systems in production. Experience with AI evaluation, backtesting or experiment design at scale. Experience managing AI costs and how product choices affect it. Experience in a hands-on EM role, or alternating between EM and IC roles. Experience helping build or grow a new engineering site. How will I be supported? You’ll have a structured onboarding experience to help you get up to speed quickly in Berlin and across Intercom. You’ll have a close group of management peers to collaborate with and learn from. We invest in our managers, supporting individual career development through training, coaching and regular feedback. You’ll have opportunities to contribute to and learn from our wider engineering community. Benefits We’re a well-treated bunch, with awesome benefits. If there’s something important to you that’s not on this list, talk to us. Competitive salary and equity in a fast-growing company. A flexible, hybrid way of working from our Berlin location. Regular compensation reviews—we reward great work. Health, wellbeing and insurance benefits designed for our employees in Germany. Family-friendly leave and support in line with local requirements and company policy. Flexible time off so you can take a break when you need it. A well-equipped Berlin office, including lunch and kitchen provisions. A MacBook as standard, with flexibility to choose the equipment that helps you do your best work. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Canada; Remote; Shanghai Workplace: remote ABOUT YOU   We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: 1. Architecture & Development Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe. Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs. Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway. Implement CI/CD for data pipelines using Git, dbt, and automated testing. Define data quality checks and auditing pipelines for ingestion and transformation layers. 2. Leadership & Collaboration Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices. Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake. Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII). Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications. 3. Performance & Scalability Tune algorithm performance. Establish data partitioning, clustering, and materialized views for fast query execution. Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight). 4. Governance & Best Practices Establish and enforce naming conventions, data lineage, and metadata standards across schemas. Lead code reviews, enforce documentation standards, and manage schema versioning. Contribute to the company’s evolving data mesh and streaming architecture vision. Qualification & Skills: 5+ years of experience in Data Scientist, with 3+ years in Spark framework . Strong SQL and Python skills, with proven experience building ETL/ELT at scale. Deep understanding of algorithm performance tuning , query optimization , and warehouse orchestration . Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar). Solid understanding of data modeling (Kimball, Data Vault, or hybrid). Proficiency in Kafka , GCP , or AWS for real-time or batch ingestion. Familiarity with API-based data integration and microservice architectures . Preferred Experience lead machine learning teams or/and deploying ML feature pipelines . Background in ad-tech, gaming, or e-commerce recommendation systems. Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). Experience managing small data engineering teams and setting technical direction Strong ownership and ability to work autonomously in a fast-paced environment. Excellent cross-functional communication — can translate between engineering and business. Hands-on problem solver who balances velocity with reliability. Collaborative mentor who raises the bar for team quality and discipline Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Data Scientist, we will conduct a background check that may include the following Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Beograd, Serbia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We've already got over 90,000 students and 3,500 teachers making learning awesome in over 30 countries in Europe and Asia. But we're not stopping there—we need your help to take things to the next level! We're searching for a senior backend developer who's brilliant with Python, PostgreSQL, and REST APIs, and who's also got a solid understanding of cutting-edge AI models. You'll be joining a small, super-effective team focused on developing the AI magic that powers our language learning platform. What we offer Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products. Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together. What you'll bring A degree in Computer Science, Engineering, or something similar. 5+ years of hands-on experience as a Python Developer. You should be comfortable working with Python 3.8+ Deep experience in designing and building scalable backends and REST APIs. Our stack includes PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery, and pydantic. A strong grasp of modern LLMs (like OpenAI, Anthropic, Gemini), agentic tools (like Claude Code, OpenAI Codex CLI, Amp) and real experience building solutions that use them. AI-Native Engineering Workflow Hands-on experience with AI coding agents in CLI environments: Claude Code, OpenAI Codex CLI, Amp, or similar tools for backend development. You should understand how to orchestrate multi-step engineering tasks—breaking down complex features into agent-executable chunks, reviewing AI-generated code critically, and maintaining architectural integrity. Familiarity with plan-execute-review workflows where AI agents propose implementation strategies before coding. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Proficiency in context engineering for team collaboration: setting up and maintaining shared configuration files (agents.md, CLAUDE.md, custom skills/plugins) that encode team conventions, API patterns, and deployment practices. Experience sharing these configurations across teams to ensure consistent AI-assisted development. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Experience with microservice architecture and the AWS serverless stack. You should be fluent in English. Bonus points if You've worked in startups or small teams. You're a self-starter who also thrives as part of a team. You're all about solving business problems, not just writing code. You can use AI tools to create solutions quickly, in days or hours, not weeks or months. You have experience with e-commerce or e-learning projects. You've led teams or mentored other developers. You've deployed applications on AWS. You know your stuff when it comes to modern software architecture. You've worked with no/low-code workflow automation.

Location: Amsterdam Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges. Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication Your present skillset: Degree in Computer Science, Engineering, or a related field 5+ years of experience in data analysis and/or low-level systems and network engineering Strong skills in Python and time-series analysis Understanding of network protocols such as TCP/IP and Ethernet Familiarity with market microstructure and low-latency trading is a plus Advanced networking and GNU/Linux knowledge is a plus QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Pipes & Vault team is responsible for building products that connect third-party data, services, and secrets to applications and AI agents. They form a backbone of data infrastructure and agentic workflows for our customers: - Pipes connects external data sources to our customers’ apps and agents - Vault secures credentials and secrets that are used across fleets of agents - Pipes MCP defines authority for agents to take action through integrations Unique to this team is that we also lead internal R&D efforts that leverage our products in novel ways. Examples include an agentic BI tool built on top of Pipes that reimagines how our support teams gets customer insights from internal data lakes, and a new web framework for apps with enterprise-grade security as the default. You'll work across a wide surface area, designing APIs for integrations, building secure storage and key management systems, contributing to open-source specs, and prototyping entirely new developer tools. Engineers on this team care deeply about reliability, security, and developer experience, and move quickly between shipped product work and exploratory R&D. RESPONSIBILITIES ✔️ - Design and build APIs, data connectors, and real-time pipelines that power Pipes and Pipes MCP - Architect systems for encryption, secure storage, key rotation, and secret management in Vault - Contribute to the Pipes MCP specification, defining how agents are granted scoped authority over integrations - Develop a deep understanding of the integrations and data infrastructure landscape and shape product direction across the team's portfolio - Expand product scope through value-add features based on customer input - Work closely with customers to understand integration, security, and compliance requirements - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members QUALIFICATIONS 🌟 - 5+ years of industry software development experience - Experience working on small teams in fast-paced environments - Background in building systems that solve for security, encryption, storage, multi-tenant data isolation, or large-scale data platforms - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews. Our mission is to give developers a turnkey platform for identity security and risk evaluation. The hard and interesting part for engineers is detection quality: catching real threats with high precision and very few false positives, in real time, against adversaries who are actively trying to get around us. Engineers on Radar care deeply about correctness, performance, observability, detection quality, and the developer experience. We measure our work by real impact, often in the millions of dollars of fraud and abuse we save customers. The engineers who thrive here are fascinated by data. Radar serves some of the fastest-growing AI companies in the world, which gives us one of the richest fraud-and-abuse datasets in the identity space. Responsibilities ✔️ - Design and build performant, resilient systems for real-time identity event processing - Craft intuitive APIs and developer workflows that make Radar easy to adopt - Dig into large-scale authentication data to find fraud and abuse patterns, then design, test, and measure the signals and models that detect them - Develop a deep understanding of the identity-security landscape and shape Radar’s product direction - Work directly with customers, including some of the biggest names in AI, to understand their fraud problems, prototype solutions for them, and become a trusted expert they rely on - Maintain a strong focus on reliability, security, correctness, and observability across the stack - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members Qualifications 🌟 - 5+ years of industry software development experience - Comfort working with data at scale - querying, analyzing, and drawing sound conclusions from large datasets - Background in large-scale systems, real-time pipelines, or event-driven architectures - Intellectually curious and data-driven, with a scientific mindset - you like forming hypotheses, testing them against data, and measuring the impact of what you build - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with machine learning, anomaly detection, or fraud and abuse detection - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco; New York City Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role WorkOS has a strong bottoms-up, developer-focused GTM motion, and we’re growing our lean sales team to complement it. We’re hiring Account Executives across several experience levels, from AEs with 2 years of closing experience to seasoned sellers with 10 years of experience. Our customers range from AI-native startups to large enterprise organizations. We don’t have formal sales segmentation: customer coverage is fluid, and you’ll work across a range of company sizes, technical needs, and buying processes. Your scope and expectations will reflect your experience, with opportunities to contribute beyond a narrowly defined territory or segment. You’ll build relationships with technical leaders, understand what their teams are building, and help them evaluate how WorkOS can simplify enterprise integrations and support their growth. This is a consultative, technically engaged sales role with room to experiment, shape our sales motion, and build processes from scratch.   Responsibilities - Business Development: Identify, qualify and close high potential customers and foster internal technical champions by building a delightful customer journey tailored to a technical audience/preferences of a technical buyer - Experimentation: Test outreach, messaging, and sales approaches across our customer base. Share what works and help develop repeatable practices. - Collaboration: Partner with internal teams (marketing, product, engineering) to develop sales strategies, communicate customer feedback, and ensure customer success. - Pipeline Management: Maintain accurate opportunity records and forecasts, clearly communicating progress, risks, and next steps. - Continuous Learning: Stay up-to-date on industry trends, WorkOS product developments, and competitor offerings to position yourself as a trusted advisor to potential customers. - Reporting: Regularly provide feedback and updates to the leadership team on key accounts, challenges, and growth opportunities. Qualifications - Closing experience: Approximately 2–10 years of quota-carrying Account Executive experience closing B2B SaaS or other technical products. We’re hiring at multiple levels and will evaluate experience accordingly. - Enviroment experience: Early-stage or high-growth companies, developer tools, infrastructure, or product-led growth motions. - Track record: Demonstrated success against sales targets and ownership of opportunities through close. More experienced candidates should bring experience navigating complex, multi-stakeholder sales cycles. - Technical aptitude: Curiosity about how software is built and the ability to learn technical products, ask thoughtful questions, and earn credibility with engineering leaders. - Communication: Strong discovery, listening, and written communication skills, with the ability to explain complex concepts clearly. - Ownership: Comfort working on a lean team with evolving priorities, fluid customer coverage, and processes that are still being built. - Collaboration: A resourceful, team-oriented approach to solving problems and moving opportunities forward. - Organization: Strong pipeline discipline and proficiency with CRM tools. - Bonus: Familiarity with identity and access management products such as SSO, Directory Sync, or Audit Logs. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.   About the role 💭 WorkOS builds tools for developers that unlock equal & accelerated access to the enterprise market. We’re growing rapidly and expanding our team of full-stack product engineers.   The Enterprise team develops products that enable companies to become 'enterprise-ready,' including SSO, Directory Sync, Audit Logs, and RBAC. These products are designed to be highly flexible and pluggable, meeting the demanding needs of enterprises while unifying fragmented admin ecosystems and workflows.   Our engineers are deeply committed to understanding our customers' challenges, actively seeking feedback and new perspectives to inform the products we build. We’re looking for engineers who are excited about turning complex ideas into reality, crafting elegant, user-friendly software with modern tools, and sharing our passion for simplifying the enterprise landscape. Responsibilities ✔️ - Design and engineer delightful developer and end-user experiences - Develop a deep understanding of evolving products (RBAC, FGA, Audit Logs) and increase its adoption - Develop a deep understanding of how diverse customer personas interact and integrate with our mature products (SSO, SCIM), and work to reduce friction points - Collaborate with other product teams, solutions engineering, and our go-to-market team - Map evolving technical risks/limitations to drive technical roadmap in collaboration with other engineering teams - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members Qualifications 🌟 - 5+ years of industry software development experience - Experience distilling complex, fragmented problem spaces into clean, simple architectures (ex: data models, robust state management) - Experience designing well-structured internal and external APIs that balance high scalability with an intuitive developer experience. - Skilled in collaborating with diverse customer personas and translating their needs into well-designed and prioritized action items. - Familiarity with working on small teams in fast-paced environments - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experienced with our stack of TypeScript, React, and Postgres - Bonus: Experienced in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the Site Reliability Engineering Team The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact. Who we’re looking for We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you: - Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments - Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes - Care deeply about uptime, observability, and performance, and see reliability as a product feature - Think through architectural trade-offs with reliability, simplicity, and maintainability in mind - Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements - Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews Responsibilities ✔️ - Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS - Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure - Define and measure SLIs/SLOs to guide reliability improvements - Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation - Improve our incident response process, lead postmortems, and drive follow-through on reliability risks - Develop internal tools and automations that make it easier to operate and scale our systems - Participate in our on-call rotation—responding to, resolving, and learning from production incidents - Contribute to design and architecture discussions with a focus on operability and long-term sustainability - Document systems, share learnings, and help grow a reliability-minded engineering culture Qualifications 🌟 - Based in PST/PDT timezone - Experience operating and scaling production systems in cloud environments (we use AWS) - Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis - Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling) - Strong debugging and systems thinking skills—you can follow problems across services and layers - Ability to work independently, take ownership, and drive projects from problem discovery through resolution Nice to have - Familiarity with Kubernetes or similar orchestration systems - Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry) - Exposure to TypeScript or interest in working in a TypeScript-based codebase Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on. On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply. On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes. Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents. WHAT YOU’LL WORK ON ✔️ - Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency - Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt - Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments - Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies - Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer - Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification - Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes - Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention - Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership WHAT WE’RE LOOKING FOR 🌟 - 8+ years of software development experience, with a track record of owning high-impact technical projects - Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery - Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling - A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate - Strong operational instincts across observability, capacity planning, incident response, and reliability - Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification - Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system - Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment - Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams - Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role The AuthKit team is responsible for building AuthKit: a set of UI and APIs that enable B2B developers to solve identity and authentication. Our goal is to build the best possible developer and end-user experiences so customers can onboard seamlessly and kick-start their enterprise journey. AuthKit has seen strong adoption and is now relied upon as critical infrastructure by many of the fastest-growing AI and software companies. To support this scale, we're looking for product engineers who have experience scaling this type of infrastructure and who can drive application reliability, scalability, and performance. This role straddles product and platform, with each informing the other. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We're searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. Responsibilities - Design and engineer delightful developer and end-user experiences - Build a deep understanding of AuthKit's place in the market and increase its adoption - Drive application reliability, scalability, and performance for a product relied upon at scale - Accrete developer trust by serving a highly available, performant, and secure product - Speak with customers regularly to get feedback, debug issues, and remove points of friction - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work across both product and platform, letting each inform the other - Work directly with leadership on greenfield ideas Qualifications - 5+ years of industry software development experience - Bachelors degree required - Experience working on small teams in fast-paced environments - Background in crafting both polished UI/UX and API services end-to-end - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. 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: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups 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: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Fluent in Arabic - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai