Вакансии

Location: Vilnius Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Germany - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: We’re looking for highly motivated sales executives who have strong market knowledge and enjoy building relationships with key decision makers to evangelize building secure and reliable software. Our sales team walks a mile in their customers shoes and wants our customers and prospects to see the immense value and expertise Chainguard's solutions offer. What you'll do: Define and execute sales plans for your assigned territory Convey value prop and product differentiators to prospects and customers Forecast, meet, and exceed quota Through a combination of inbound and outbound leads, develop and manage leads funnel Manage business and track opportunities through CRM and other supporting tools Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering Understand the competitive market, being familiar with competing companies and their offerings What we're looking for: Native or fluent German speaker Based in Germany 6+ years of Enterprise Sales Experience required Domain experience with one or more of the following required: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins)  and overall SDLC. Strong track record consistently overachieving sales targets Ability to learn new products and processes quickly Competitive/Driven Excellent communication skills verbal and written Team player Must be willing to travel to clients to support sales relationships (if required) Entrepreneurial – Willing to go the extra mile, strong work ethic, resourceful. Desired Qualifications: SaaS or Developer tools sales experience Startup experience A strong sales aptitude and fundamental understanding of the sales process A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment Ability to thrive in an agile environment with an ever-evolving set of solution About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: New York, New York, United States The Chief Risk Officer (CRO) is a newly created role, as we establish a formal second line of defense, bringing Regulatory & Compliance, Enterprise Risk & Governance and Safety, Resilience & Incident Management together under one risk structure.  The successful candidate will be a key member of iCapital’s Performance and Risk Management team, accountable for the enterprise-wide risk management, regulatory compliance, and safety and resilience programs of the firm and the design, oversight, and effectiveness of the firm’s global AML, KYC, sanctions, anti-financial crime, and customer due diligence framework. This leader will oversee the integration of regulatory and compliance functions with a comprehensive enterprise risk management framework, ensuring iCapital continues to operate with strong governance, disciplined risk oversight, financial crime risk management capabilities, and regulatory credibility as the business scales globally. Reporting directly to the Chief Financial Officer, the CRO will partner closely with executive leadership, the Board, and Board‑level Audit & Risk Management Committee to proactively identify, assess, and manage risk across iCapital’s global platform. This role is critical to iCapital’s continued growth, requiring a seasoned executive with deep expertise in alternative investments, complex regulatory environments, and enterprise risk management. As a senior leader at the firm, the CRO will help shape firm strategy, influence key business decisions, and provide independent challenge and oversight across all risk domains. The CRO will serve as the principal risk advisor to senior management and the Board, ensuring that risk, compliance, AML/KYC, financial crime, resilience, and governance considerations are embedded into strategic planning, product development, acquisitions, and geographic expansion initiatives. Responsibilities: Regulatory & Compliance Oversight and Execution Global Regulatory Strategy: Oversee regulatory compliance across iCapital’s global footprint, including U.S., Canada, UK, Europe, and APAC jurisdictions, and support expansion into new regulated markets. Alternatives & Structured Products: Provide leadership on regulatory requirements governing alternative investments, structured investments, annuities, and registered and private fund vehicles. Licensing & Registrations: Oversee regulatory registrations, licensing, exemptions, and ongoing obligations with regulators including the SEC, FINRA, and international authorities. Policies & Controls: Ensure the development and maintenance of scalable policies, procedures, training, and controls aligned with regulatory requirements and business strategy. Regulatory Engagement: Serve as the senior executive representative for regulatory examinations, audits, and inquiries, maintaining strong, credible relationships with regulators and external advisors. Financial Crime, AML & KYC Leadership: Ensure the design and effectiveness of controls for identifying, assessing, mitigating, and reporting money laundering, terrorist financing, sanctions, fraud, and other financial crime risks. Enterprise Risk & Governance Leadership Enterprise Risk Management (ERM): Design, evolve, and execute iCapital’s enterprise risk management framework, including risk appetite, governance, assessment, and reporting across all business lines and geographies. Risk Governance: Provide oversight through established governance forums, including the Board‑level Audit & Risk Management Committee, Corporate Risk Management Committee, and operational risk working groups. Risk Assessment & Monitoring: Maintain and enhance the enterprise risk register, integrating Risk Control Self‑Assessments (RCSAs), risk appetite metrics, and issue management into a consistent, scalable framework. Executive & Board Engagement: Serve as the primary point of contact for senior management and the Board on risk‑related matters, delivering clear, actionable insights and recommendations. Risk Controls, Assurance & Audits Controls Framework: Partner with Finance, Technology, Legal, and Operations to strengthen internal controls, including IT General Controls (ITGCs), ICFR, and operational controls. SOC 2 & Assurance: Oversee SOC 2 audits across business lines, managing auditor relationships, evidence collection, remediation, and ongoing control maturity. Technology & Data Risk: Collaborate with Technology and Security teams to manage platform, data protection, and information security risk in a technology‑enabled business model. Safety, Resilience & Incident Management Business & Technology Resilience: Ensure the firm’s ability to continue delivering critical services through disruption by maintaining approved business continuity and disaster recovery plans, validated through regular testing. Incident Management: Oversee a centralized enterprise incident management framework, including escalation protocols, response playbooks, and crisis communications. Life Safety & Physical Security: Provide oversight of physical security, life safety, and emergency preparedness programs across offices, travel, and firm‑sponsored events. Leadership & Team Development People Leadership: Lead, mentor, and develop global teams across risk management and compliance functions, fostering a culture of accountability, partnership, and continuous improvement. Cross‑Functional Collaboration: Work closely with Finance, Legal, Technology, Product, and Business leaders to embed risk awareness into decision‑making while enabling growth and innovation. Culture of Risk Awareness: Promote a strong risk and compliance culture that balances commercial objectives with disciplined governance. Qualifications: 15+ years of senior leadership experience in risk management, compliance, or governance within financial services, fintech, asset management, broker‑dealer, or investment advisory environments Deep, hands‑on experience with alternative investments, including regulatory treatment, product structure, and distribution considerations Demonstrated executive accountability for AML, KYC, sanctions, customer due diligence, financial crimes compliance, and broader regulatory compliance programs operating across multiple jurisdictions. Proven ownership of regulatory compliance in highly regulated environments, including direct interaction with regulators and responsibility for examinations and audits Demonstrated success designing and operating enterprise risk management frameworks in complex, multi‑jurisdictional organizations Strong knowledge of U.S. securities regulation (SEC, FINRA, Advisers Act, Investment Company Act), AML and financial crimes requirements (Bank Secrecy Act, USA PATRIOT Act, OFAC), and familiar with international frameworks such as AIFMD and MiFID Credible, confident leader with the judgment and independence to challenge constructively and advise senior leadership and the Board Able to translate complex regulatory and risk concepts into practical, scalable solutions aligned with business strategy Proven track record building and leading large, global teams and influencing outcomes across complex matrixed organizations. Strong executive presence, strategic mindset, and demonstrated ability to balance risk management objectives with commercial growth priorities. Bachelor’s degree required; advanced degree (JD, MBA, or equivalent) strongly preferred. Professional certifications (FRM, CRCMP, CFA, CPA, CAMS) a plus Benefits: The base salary range for this role is $350,000 to $400,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Backend Engineer(Go) for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases , including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs , ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance , reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch Must have skills 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform. Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly. Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities: Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment. Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform. The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality. You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research. The ideal candidate will be able to: Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform. Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly. Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions. Key Responsibilities: Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities. Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI. Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets. Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows. Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly. Proactively identify new use cases and capabilities as AI technology evolves. Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience. Qualification and Experience: Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field. 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes. Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution. Experience building or contributing to internal analytics platforms or tools used by traders and researchers. Experience with signal generation, backtesting, or systematic strategy development. Strong programming skills in Python. Familiarity with Git and collaborative development workflows. Familiarity with AI technologies and their application to quantitative workflows is a strong plus. Experience building AI agents is a strong plus. Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers. Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment. Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI. The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation Analyze questions of income distribution and economic governance under transformative-AI scenarios Contribute to the development of AI-powered research tools for economics Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise Build and maintain relationships with academic institutions, policy think tanks, and other research partners Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics, or an exceptional candidate close to completion Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against Relevant experience in some of: Macroeconomic modeling and structural estimation Scenario-based and time-series forecasting Task-based approaches to technological change Computational methods, agent-based modeling, or large-scale simulation Income distribution and inequality Using large language models in the research workflow Technical skills including: Proficiency in Python, Julia, or similar for computational economics Facility with AI coding agents as part of a research workflow Comfort learning new technical tools and frameworks Demonstrated ability to: Lead research projects from conception to publication Ship on tight timelines and revise in public as new data arrives Communicate technical findings to diverse audiences Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work Labor market impacts of AI: A new measure and early evidence Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable. Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line. Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds. Strong candidates may also have Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack. Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short. Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit. Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing. Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Philippines Workplace: remote Contract Type: Freelance Language: English (Philippines)   About the Role  We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.    What You Will Do:  - Review and label content for sentiment, factual accuracy, and reasoning issues.  - Evaluate model outputs across quality dimensions using scoring frameworks.  - Validate automated assessments and identify discrepancies or errors. Requirements: Advanced English proficiency (reading and writing) with professional-level fluency. Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. Previous experience in data annotation, AI training, or related projects. Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. Exceptional attention to detail and accuracy. Proven analytical reasoning and critical thinking abilities. Consistency in decision-making across high volumes of tasks. Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: USA Workplace: Remote Moonshot is the “Robinhood for DeFi”—an iOS and Android app that lets anyone trade cryptocurrencies on-chain through a user-friendly interface. Since our launch in July 2024, we’ve attracted 2M+ users. Our mission: Make moonshots possible for everyone. Our vision: Make a world where life-changing financial outcomes are within everyone's reach. Everyone on our team is both a decision-maker and an implementer—united by a sense of urgency and driven by the conviction that our work can transform global finance. If you thrive on curiosity, welcome tough challenges, and aspire to leave a meaningful mark on the world, Moonshot is the place for you. You’ll run toward the hardest problems alongside high-caliber teammates who consistently push each other to excel and who share your dedication to shaping the future of decentralized finance. This role is full-time, preferably located in NYC. Open to remote for the right candidate. THE OPPORTUNITY As a Staff Backend & Platform Engineer at Moonshot, you’ll own some of the most critical systems in our stack: identity and access, funds movement and ledgering, and the blockchain infrastructure that powers our on-chain trading. This role is similar to staff engineers at leading crypto wallets and exchanges who own authentication stacks, key management, and high-scale financial backends. You’ll design, build, and operate systems that must be both highly reliable and extremely secure, enabling product teams to move quickly on a solid foundation. WHAT YOU’LL DO - Design, build, and operate Identity & Access Management services: - Authentication flows, sessions, device trust. - Authorization and entitlements (roles, permissions, policies). - Security controls such as MFA and key management (working with security teams). - Own financial operations systems: - Transfers and payments orchestration. - Ledgering and reconciliation flows. - Limits, risk controls, and transactional correctness. - Build and maintain blockchain infrastructure: - Node and RPC management. - Transaction submission, monitoring, and retry logic. - Indexing and streaming of on-chain data into internal services and data stores. - Define and uphold reliability and observability standards: - SLOs and error budgets for core services. - Dashboards, alerts, runbooks, and incident management practices. - Lead large, cross-functional technical projects from design through rollout, collaborating with Product, Security, and Ops. - Mentor and guide other engineers, contributing to engineering standards, design reviews, and documentation. - Stay close to industry best practices in auth, key management, and secure infrastructure for crypto and trading. WHAT WE LOOK FOR IN YOU - 5–12+ years of backend or product or platform engineering, including experience with high-scale, high-availability systems in fintech, crypto, or similar domains. - Deep expertise in at least one of: - Identity & access / security engineering - Financial systems / ledgering / payments - Blockchain infrastructure / on-chain data - Strong experience designing and operating distributed systems (datastores, queues, streaming, background workers). - Track record driving architecture decisions and seeing them through implementation and adoption. - Strong operational mindset: monitoring, on-call, incident response, and postmortems. - Excellent collaboration skills, especially with Product, Security, and Ops. NICE TO HAVES - Experience with Flutter, React Native, React, Headless CRMs - Experience with Go, Rust, Solana - Experience with Google Cloud or Amazon Web Services - Experience with crypto wallets, exchanges, or onchain protocols including DeFi, L2s, ZK - Exposure to data warehousing and analytics for financial reporting. - Contributions to open-source projects. LOCATION - NYC preferred (with periodic in-person sprints). - Remote-friendly within the United States and Canada; travel ~1wk/quarter COMPENSATION & PACKAGE - Competitive salary and meaningful equity. - 5% 401(k) match. - Health benefits with employer-covered premiums, plus life insurance coverage. - One-time office setup stipend. - Flexible PTO.

Location: USA Workplace: Remote Moonshot is the “Robinhood for DeFi”—an iOS and Android app that lets anyone trade cryptocurrencies on-chain through a user-friendly interface. Since our launch in July 2024, we’ve attracted 2M+ users. Our mission: Make moonshots possible for everyone. Our vision: Make a world where life-changing financial outcomes are within everyone's reach. Everyone on our team is both a decision-maker and an implementer—united by a sense of urgency and driven by the conviction that our work can transform global finance. If you thrive on curiosity, welcome tough challenges, and aspire to leave a meaningful mark on the world, Moonshot is the place for you. You’ll run toward the hardest problems alongside high-caliber teammates who consistently push each other to excel and who share your dedication to shaping the future of decentralized finance. This role is full-time, preferably located in NYC. Open to remote for the right candidate. THE OPPORTUNITY As a Senior Backend & Platform Engineer at Moonshot, you’ll own some of the most critical systems in our stack: identity and access, funds movement and ledgering, and the blockchain infrastructure that powers our on-chain trading. This role is similar to staff engineers at leading crypto wallets and exchanges who own authentication stacks, key management, and high-scale financial backends. You’ll design, build, and operate systems that must be both highly reliable and extremely secure, enabling product teams to move quickly on a solid foundation. WHAT YOU’LL DO - Design, build, and operate Identity & Access Management services: - Authentication flows, sessions, device trust. - Authorization and entitlements (roles, permissions, policies). - Security controls such as MFA and key management (working with security teams). - Own financial operations systems: - Transfers and payments orchestration. - Ledgering and reconciliation flows. - Limits, risk controls, and transactional correctness. - Build and maintain blockchain infrastructure: - Node and RPC management. - Transaction submission, monitoring, and retry logic. - Indexing and streaming of on-chain data into internal services and data stores. - Define and uphold reliability and observability standards: - SLOs and error budgets for core services. - Dashboards, alerts, runbooks, and incident management practices. - Lead large, cross-functional technical projects from design through rollout, collaborating with Product, Security, and Ops. - Mentor and guide other engineers, contributing to engineering standards, design reviews, and documentation. - Stay close to industry best practices in auth, key management, and secure infrastructure for crypto and trading. WHAT WE LOOK FOR IN YOU - 5–12+ years of backend or product or platform engineering, including experience with high-scale, high-availability systems in fintech, crypto, or similar domains. - Deep expertise in at least one of: - Identity & access / security engineering - Financial systems / ledgering / payments - Blockchain infrastructure / on-chain data - Strong experience designing and operating distributed systems (datastores, queues, streaming, background workers). - Track record driving architecture decisions and seeing them through implementation and adoption. - Strong operational mindset: monitoring, on-call, incident response, and postmortems. - Excellent collaboration skills, especially with Product, Security, and Ops. NICE TO HAVES - Experience with Flutter, React Native, React, Headless CRMs - Experience with Go, Rust, Solana - Experience with Google Cloud or Amazon Web Services - Experience with crypto wallets, exchanges, or onchain protocols including DeFi, L2s, ZK - Exposure to data warehousing and analytics for financial reporting. - Contributions to open-source projects. LOCATION - NYC preferred (with periodic in-person sprints). - Remote-friendly within the United States and Canada; travel ~1wk/quarter COMPENSATION & PACKAGE - Competitive salary and meaningful equity. - 5% 401(k) match. - Health benefits with employer-covered premiums, plus life insurance coverage. - One-time office setup stipend. - Flexible PTO.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Location: San Francisco, California An overview of this role As the Manager, Solutions Architects for our Enterprise team in the San Francisco Bay area, you'll lead a distributed group of intermediate and senior Solutions Architects serving enterprise customers in the West sales territory. You'll guide your team to act as trusted advisors to GitLab prospects and customers, helping them validate GitLab's Enterprise Edition as the right technical and business solution and supporting successful adoption of the GitLab platform across the entire software development lifecycle. You'll hire, coach, and retain a high-performing team, set clear expectations, and be accountable for how your team runs complex technical evaluations, articulates business outcomes, and collaborates with Sales, Engineering, Product Management, and Marketing. You'll model the work of a Solutions Architect yourself, from solution design through technical presentations, so your team is equipped to drive meaningful customer change with GitLab. What you'll do Lead a distributed team of intermediate and senior Solutions Architects supporting Enterprise customers in the West territory. Coach, mentor, and develop team members through regular feedback, career support, and skills development in both technical and consultative areas. Grow and retain a high-performing team by hiring thoughtfully, onboarding effectively, and fostering an inclusive, results-focused culture. Guide by example by engaging in key customer opportunities as a Solutions Architect, from discovery through technical validation and successful adoption of the GitLab platform. Drive the quality and consistency of technical evaluations, demos, and proofs of concept so that GitLab solutions clearly address customer business and technical requirements. Collaborate closely with regional sales managers on territory strategy, account planning, and forecast support to ensure alignment between technical and commercial motions. Partner with Product Management, Engineering, and Marketing to share field insights, influence the roadmap, and improve messaging around GitLab's Enterprise Edition and platform capabilities. Own team execution by defining and tracking key performance indicators, and communicate progress, risks, and priorities clearly to your team, peers, and leadership. What you'll bring Experience mentoring and developing technical team members, including giving and receiving constructive feedback. Experience managing or leading technical pre-sales or information technology professionals, ideally in an enterprise-focused environment. Ability to collaborate effectively with other managers and cross-functional partners to plan and execute sales and go-to-market strategies. Strong technical presentation and communication skills, with the ability to engage both technical and business stakeholders. Knowledge of the end-to-end software development lifecycle, including modern software development or operations practices. Understanding of continuous integration and continuous deployment concepts and their impact on customer outcomes. Familiarity with cloud computing concepts, related technologies, and common customer adoption patterns. Ability and willingness to travel in line with business needs and the company's travel policy, and openness to learning and using GitLab and related tools, including through transferable experience from adjacent domains. About the team The Enterprise Solutions Architect team partners with our largest customers to design and validate technical solutions that drive successful adoption of the GitLab platform. This role leads a group of intermediate and senior Solutions Architects aligned to the West Enterprise sales territory, working closely with Sales, Engineering, Product Management, and Marketing to support complex evaluations and long-term customer outcomes. We operate in a fully remote, asynchronous way across North America, using GitLab and our handbook-first approach to stay aligned on strategy, share technical best practices, and continuously improve how we support the sales cycle. Key opportunities for our team include deepening technical adoption of GitLab Enterprise Edition, connecting customer business goals with architectural recommendations, and serving as strong product advocates in the field. Compensation Details Please note this role can be filled at either the Manager or Senior Manager levels.   Details for base salary at the Manager level are listed below, but please note the OTE range for the Manager role is 205,600 - 308,400.  Additionally the base salary for the Senior Manager level is 186,600 - 279,900 and the OTE for the Senior Manager level is 248,800 - 373,200. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $154,200 — $231,300 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Lagos, Nigeria We are expanding our product and technology teams and are hiring several Business Analysts across multiple domains: Digital/Web, Internal Products, SME Digital Lending, BNPL, Offline Lending, and Business Services . Our goal is to bring in professionals with international fintech or banking experience who can contribute best practices and help scale high-impact financial products. The ideal candidate is highly analytical, communicates clearly with both business and engineering teams, and is able to quickly ramp up and start delivering within 4–6 weeks . Responsibilities Work closely with Product Managers, Engineering, Risk, and Operations teams to translate business goals into clear product and system requirements. Lead discovery and requirements gathering for new features, products, and process improvements. Create and maintain functional specifications, user stories, process flows, and documentation . Support product delivery by clarifying requirements, managing scope, and ensuring alignment between stakeholders and development teams. Analyze business processes, product performance, and operational workflows to identify optimization opportunities. Ensure that delivered solutions meet business needs, regulatory requirements, and user expectations . Requirements 3–5 years of experience in Business Analysis, Product Analysis, or Product Operations. Background in fintech, banking, lending, payments, or digital financial products . Experience working with cross-functional product and engineering teams . Strong skills in requirements documentation, stakeholder management, and process modeling . Ability to quickly understand complex systems and business processes . Excellent analytical thinking and communication skills . Fluent English (spoken and written). Preferred Experience Experience in international fintech or banking environments (Europe, LatAm, SEA, USA, UK, Russia). Exposure to lending products, payments, BNPL, or digital financial platforms . Familiarity with Agile product development environments . Benefits Remote work from anywhere in the world Performance bonus, 25+ paid vacations and day-offs, personal development plan Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You 10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience. Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .