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Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is hiring a Senior Software Engineer to design, build, and own backend systems that power metrics, monitor large-scale infrastructure, and develop a comprehensive infrastructure maintenance platform. This role requires strong production experience, sound system design judgment, and the ability to operate and improve critical services. Your responsibilities will include: Design and build services and agents that provide deep visibility into large-scale server fleets and data center engineering systems Evolve metrics, aggregation, and alerting pipelines, with a focus on signal quality and reliability Design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep infrastructure healthy Investigate production incidents hands-on, including on-host Linux debugging, and drive root-cause fixes Collaborate closely with hardware, networking, and data center operations teams to improve reliability What we expect you to have: 5+ years of professional software engineering experience Strong production experience with Python and Go, or the ability to ramp up quickly Solid Linux fundamentals and comfort debugging live systems Ability to write reliable, maintainable code and dig into complex, ambiguous problems Experience building and operating production systems at scale It will be an added bonus if you have: Ubuntu experience, including internal tooling and packaging workflows (e.g., building Debian packages) CCNA (Cisco Certified Network Associate) or equivalent networking experience Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $130k- $170k base + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. Responsibilities Payment System Development: Design, develop, and optimize OKX Pay's payment backend systems; build highly available, high-concurrency, scalable payment infrastructure. Scan-to-Pay Capabilities: Contribute to core QR/scan-to-pay functionality across the critical path — payment code generation, scan recognition, order creation, payment confirmation, state transitions, timeout handling, risk-control validation, and exception compensation. Transaction Processing & Fund Flows: Design and implement secure, stable transaction processing systems covering orders, payments, clearing and settlement, reconciliation, refunds, and callback notifications. Crypto & Stablecoin Payments: Build crypto and stablecoin payment capabilities — on-chain transfers, transaction confirmation, address management, asset crediting, and payment-status synchronization — and integrate them with traditional payment experiences. System Stability & Problem Solving: Safeguard the stability of core payment flows; diagnose and resolve complex production issues including performance bottlenecks, data-consistency problems, fund-security risks, and abnormal transaction scenarios. Technical Optimization & Engineering Quality: Continuously improve system architecture, code quality, monitoring and alerting, exception compensation, and observability to raise the security, reliability, and maintainability of the payment system. Requirements Java Backend Experience: Solid Java development skills, fluent in Spring Boot and mainstream Java backend frameworks, with experience building high-concurrency, high-availability systems. Payments Domain Experience: Hands-on experience with payment systems and their core flows — payment orders, payment state machines, callback notifications, reconciliation, refunds, clearing/settlement, and exception compensation. Scan-to-Pay Experience: Background in scan-to-pay, acquiring, aggregated payments, merchant payments, wallet payments, or similar products, with familiarity across the full business and technical chain. System Design: Strong architecture design ability, capable of designing reliable transaction paths, state-transition mechanisms, and idempotency, retry, and compensation mechanisms. Data Consistency & Fund-Security Awareness: Understanding of the importance of data consistency, transaction handling, idempotency, deduplication, concurrency protection, risk-control validation, and fund security in payment systems. Crypto / Stablecoin Payment Understanding: Familiarity with the fundamentals of crypto and stablecoin payments and on-chain asset movement, including on-chain transfers, transaction confirmation, address systems, Gas, and crediting confirmation. Problem-Solving: Able to independently troubleshoot complex production issues, with strong log analysis, tracing, performance-optimization, and recovery skills. Ownership & Execution: Strong ownership; able to drive problems to resolution and ship projects in a fast-changing environment. Nice-to-Haves Stablecoin Payment Experience: Project experience with USDT, USDC, or other stablecoin payments, collection, settlement, crediting, or on-chain confirmation. Scan-to-Pay / Acquiring Experience: QR payments, merchant acquiring, aggregated payments, payment gateways, cross-border payments, or offline payment scenarios. Account & Ledger Systems: Experience with payment accounts, fund accounts, merchant accounts, ledger systems, clearing/settlement systems, or reconciliation systems. Blockchain Fundamentals: Familiarity with the transaction mechanisms, address models, and asset-transfer flows of EVM, Tron, Solana, or other mainstream chains. Risk & Compliance Awareness: Understanding of payment risk control, anti-fraud, limits, allow/deny lists, KYC/KYT, and AML mechanisms. High-Concurrency Transaction Systems: Experience building high-concurrency order systems, trading systems, payment gateways, acquiring systems, or finance-grade core systems. Who You Are A solid Java backend engineer with deep understanding of payment systems, especially scan-to-pay, acquiring, merchant payments, or wallet payments. You care not only about shipping features but also about fund security, system stability, exception compensation, reconciliation consistency, and the user's payment experience. You don't need to be a senior blockchain expert, but you have a basic grasp of crypto and stablecoin payments and are eager to explore new payment models that combine traditional payment experiences with on-chain assets. Perks & Benefits Competitive total compensation Comprehensive insurance coverage for employees and their dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer with strong Web3 experience to join our engineering team. You are meticulous, technically sharp, and deeply curious about decentralized technologies. You understand the nuances of blockchain interactions, wallet integrations, smart contract behavior, and hybrid on‑chain/off‑chain systems.   You thrive in fast‑paced, agile environments and bring a proactive approach to quality—anticipating risks, validating distributed systems, and ensuring seamless user experiences across Web3‑enabled features. You are confident in manual testing, comfortable with API‑level validation, and eager to integrate AI‑driven testing tools to improve coverage, speed, and defect detection.   If you’re excited to shape quality practices for blockchain‑enabled products and help define how Web3 experiences should feel for millions of users, we’d love to meet you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Core QA Ownership Lead manual testing of complex Web3 and platform features across multiple environments Validate blockchain interactions, wallet flows (e.g., MetaMask, WalletConnect), and decentralized identity/authentication Test smart contract interactions, event handling, and on‑chain/off‑chain data synchronization Drive exploratory, functional, and regression testing using structured documentation and deep product knowledge Identify, log, and track reproducible issues with precision using Jira or similar tools Web3‑Specific Quality Work Verify blockchain node responses, RPC interactions, and event‑driven workflows Validate transaction signing, wallet authentication, and multi‑chain compatibility Collaborate with engineers to test smart contract upgrades, migrations, and versioning Monitor production logs, blockchain explorers, and analytics dashboards to detect anomalies Process & Tooling Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage for Web3 components Evaluate and integrate AI‑powered testing tools (e.g., automated test generation, log analysis, visual regression) Set up and manage test environments, staging pipelines, and job configurations Conduct load, stress, and performance testing—especially around high‑volume Web3 interactions Quality Leadership Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Contribute to best practices for testing decentralized systems and hybrid architectures Qualifications & Skills Required Minimum 7 years of total QA experience , including ownership of end‑to‑end quality At least 2 years of hands‑on Web3 testing experience , covering blockchain integrations, wallet flows, or decentralized systems Strong understanding of manual testing methodologies and defect life cycle Familiarity with blockchain fundamentals (e.g., transactions, gas, confirmations, RPC endpoints) Experience validating APIs using Postman or similar tools Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Comfortable using browser developer tools and basic terminal/command‑line workflows Strong verbal and written English communication skills Familiarity with AI‑powered testing tools (e.g., test case generation, smart prioritization, AI log analysis) Good to Have Good to Have Experience with wallet testing (MetaMask, Coinbase Wallet, WalletConnect, custom wallets) Understanding of smart contracts, Solidity basics, or blockchain debugging tools Experience with automated testing frameworks (Playwright, Cypress, Selenium) Knowledge of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands‑on experience with AI platforms used in QA contexts BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers

Location: Office Based - Beijing, China; Office Based - Shanghai, China Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Silicon Alliance partner manager in Beijing or Shanghai to drive Canonical’s joint initiatives and technical engagements with major semiconductor partners.   The Silicon Alliances Team works with the leading semiconductor companies to combine open source adoption with innovative optimizations to get the most from each new chip. With our semiconductor partners, we develop joint product roadmaps, drive delivery, formulate go-to-market plans and conceptualize new business models, enabling differentiated hardware and robust product life-cycle support while still anchored to best-in-class Ubuntu. The end goal is a frictionless experience to deploy, maintain, and develop on any hardware from cloud to edge. The successful candidate is someone who is passionate about both hardware and software technology with interest to grow into business development. If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you. Location : This is an office based role in Beijing or Shanghai.  . The role entails Collaborating with product, engineering, and alliance teams at silicon partners to align on open-source strategies. Ensuring Canonical’s product requirements are clear and delivery is executed as planned. Maintaining relationships with engineering teams to integrate and optimize Ubuntu. Acting as the product champion and point of contact for named siliconpartners. Coordinating with marketing and product teams on messaging, content creation, and launch plans. Creating partner- and customer-facing materials like webinars, presentations, videos, and white papers. Driving Ubuntu adoption across partner products, advocating its benefits to stakeholders. Leading in making Canonical products the default choice for our partners to build on and accelerating adoption of our technology by end users on their platforms. What we are looking for in you Exceptional academic track record from both high school and university or a compelling narrative about your alternative chosen path. Bachelor’s degree in science, technology and/or engineering. Fundamental understanding of the semiconductor industry and ecosystem. Experience in software and system architecture. Customer-facing experience in business development, technology strategy or similar functions. Excellent communication skills with ability to grasp complex material and synthesize key points. Ability to think and work at both strategic and tactical levels. Disciplined and self motivated for a remote-first workplace environment. Nice-to-have skills Experience with open source software and open source business models. Team leadership or program management experience. Understanding of marketing and go-to-market strategy Experience working with Chinese based tech companies. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor - Help engineers and designers deeply understand user needs, empowering them to make great product decisions - Craft messaging around upcoming features that resonates with users - Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for - 6+ years experience in the software industry - Previous experience in engineering and/or design roles - Exceptional product and operational judgement - World-class design & product taste - Shameless curiosity, a propensity to question things deeply - Extreme speed and clarity What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $204,000—$252,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor - Help engineers and designers deeply understand user needs, empowering them to make great product decisions - Craft messaging around upcoming features that resonates with users - Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for - 6+ years experience in the software industry - Previous experience in engineering and/or design roles - Exceptional product and operational judgement - World-class design & product taste - Shameless curiosity, a propensity to question things deeply - Extreme speed and clarity What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $204,000—$252,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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

Location: Switzerland Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. If you learned through building, competitions, or collaborations outside academia, that counts. We care about evidence, not credentials. Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go - You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output - You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. Location & Employment - Location: remote within Switzerland - Employment type: Full-time, permanent employment - Hiring model: Employment via Employer of Record (EOR) Candidates must already have the legal right to work in Switzerland, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's largest, most strategic enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $198,000- $271,000. For candidates located in all other locations, the pay range for this role is $178,000- $244,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote At Finyard, we’re a global team of engineers, data scientists, marketeers, and financial experts, passionate about technology and innovation. We’re all about bringing revolutionary software services to people all around the world, and have been since 2018. Our mission is to innovate by launching modern software solutions in the FinTech space, giving users around the world simpler and quicker ways to transact and manage their investments. We are committed to ensuring every product we release is in service of our users, so that as we grow, so do they. About the Role We are seeking a highly knowledgeable and media-savvy Financial Market Analyst to join our team. This role combines deep analytical expertise with strong communication skills. You will be responsible for delivering high-quality market insights, producing daily/weekly analytical content, and representing the company across financial media, interviews, podcasts, webinars, and industry events. This is a high-visibility role suited for someone who lives and breathes the financial markets, can translate complex ideas into clear insights, and is comfortable being the public face of a global fintech brand. Key Responsibilities Market Research & Analysis Monitor global financial markets across FX, indices, commodities, equities and macroeconomic developments. Produce daily, weekly, and monthly market analysis reports, forecasts, and commentary. Identify market trends, trading opportunities, and risk factors relevant to our clients. Develop thematic deep-dives (e.g., macro outlooks, sector trends, crypto market structure analysis). Collaborate with internal teams (product, marketing, PR) to ensure accuracy and alignment of all market-related communications. Content Creation Write high-quality market analysis articles, newsletters, and research briefs. Produce short-form and long-form commentary suitable for social media, blogs, and client communications. Prepare visual market insights – charts, infographics, and data-driven storytelling. Support educational content (market explainers, trading insights, video scripts). Media Representation Act as the face of the company in financial media. Provide expert commentary for TV interviews, radio, press quotes, podcasts, and webinars. Build and maintain relationships with journalists, editors, and media outlets. Participate in industry events, conferences, and panel discussions as a company representative. Internal Collaboration Work closely with PR & Communications to ensure consistent narratives. Align insights with product launches, campaigns, and marketing initiatives. Provide internal briefings to leadership regarding market conditions and emerging risks. Required Skills & Qualifications Technical & Market Expertise 3-7+ years of experience as a market analyst, strategist, economist, or related role. Strong understanding of macro trends, global markets, technical analysis . Solid analytical skills with experience using charting tools, economic calendars, and market data platforms. Communication & Media Skills Exceptional writing ability – clear, concise, engaging. Strong on-camera presence, confident public speaking, and ability to simplify complex concepts. Prior media experience is a strong advantage (interviews, quotes, commentary). Ability to adapt tone and message depending on the channel (press, social, clients). Personal Attributes Comfortable taking initiative with minimal supervision. Highly articulate, detail-oriented, and intellectually curious. Resilient under fast-paced market conditions with tight deadlines. Able to balance accuracy with speed of delivery. Preferred Qualifications Degree in Finance, Economics, Business, or related field. Professional certifications (CFA, CMT, etc.) are a plus. Experience with trading platforms or derivatives markets. Familiarity with market fundamentals, on-chain data, and digital asset trends. What We Offer Competitive compensation package. Opportunity to become a recognized public market expert and grow your personal brand with the backing of a leading fintech company. Global exposure via top-tier media networks. High degree of autonomy and the ability to shape market narratives. Collaborative, innovative, and growth-focused work environment.

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

Location: San Francisco Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE As a Solutions Engineer at WorkOS, you’ll sit at the intersection of engineering, product, and sales and work directly with customers to solve real problems and accelerate time-to-value. This role is for engineers or solutions engineers with strong fundamentals, excellent communication, and unusually high agency. You’ll be customer-facing, but you’ll also build: prototypes, integrations, demos, and pragmatic solutions that unblock adoption and expansion. RESPONSIBILITIES ✔️ - Work directly with customers to design and implement solutions using WorkOS products - Own technical outcomes end-to-end: discovery, architecture, implementation, iteration, and handoff - Lead demos and proof-of-concepts - Identify blockers early, propose solutions, and drive momentum without waiting for instructions - Partner with Account Executives to support evaluations and expansions - Share structured feedback with Engineering and Product to improve the platform based on real-world usage QUALIFICATIONS - Strong engineering fundamentals and comfort building across APIs and web stacks - Pre-sales experience - Proven ability to communicate clearly with customers and internal teams - High agency: you proactively find problems and solve them (show us what you’ve built or led from 0→1) - Excited by fast-paced, startup environments and ambiguous problem spaces - Strong curiosity and adoption of modern tooling, including AI-assisted development workflows - Bonus: Experience in developer tools, integrations, customer engineering, or technical consulting Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE TEAM The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. WHAT YOU’LL DO - Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis - Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring - Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams - Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) - Build robust monitoring and alerting for model performance, latency, data quality, and drift - Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases - Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle - Partner with platform teams to meet strict SLAs for availability, latency, and accuracy - Collaborate closely with talented engineers, data scientist and compliance teams across Rain - Work in a fast-paced environment on a rapidly growing product suite - Solve complex problems at the intersection of ML systems, data, and reliability WHAT WE'RE LOOKING FOR - 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains - A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Proven track record designing and maintaining ML models at scale - Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) - Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling - Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems - Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques - Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale NICE TO HAVE, BUT NOT MANDATORY - Domain expertise in banking, payments, or transaction monitoring - Experience with graph-based or network-level fraud detection techniques - A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) - Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: 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 looking for a highly motivated and dynamic Commodities Macro Analyst to join our team to support one of our PM's. You will be a key member of the Trading team and highly involved in the analytics and research to support decision making. Ideal for someone seeking a long term career that allows them to develop, grow and challenge themselves. Commodities Macro Analyst Focus: Macro Volatility and Commodity Fundamentals Ideal Candidate: Versatile, ambitious team player with strong analytical/technical skills, seeking a long-term career. Open to candidates outside of commodities who are keen to learn. Key Responsibilities Analysis & Research Top-Down Macro: Analyze global macroeconomic cycles, central bank policy, interest rates, and inflation to identify volatility drivers. Bottom-Up Fundamentals: Build and maintain supply/demand balance sheets and flow-of-funds models for core commodities Credit/Micro: Conduct financial and credit health analysis of key producers and consumers (balance sheets, capex). Development & Tool Building Desk Infrastructure: Actively participate in the development, testing, and deployment of proprietary analytical tools, models, and dashboards. Coding: Use Python to build and enhance tools for research, backtesting, and production reporting. Data Management: Design and maintain data pipelines (including SQL) for clean, reliable data feeds. Risk Support Trade Support: Assist in generating, researching, and stress-testing trade ideas, executing trades Risk Management: Perform daily portfolio risk monitoring, attribution, and P&L analysis. Key Skills & Experience Minimum 3 years of relevant work experience, ideally at a leading Proprietary Trading Firm, Hedge Fund, Investment Bank or Trading Venue. Strong knowledge of financial products and active interest in the Commodities and Macro space. Exceptional analytics and problem-solving skills. Experience managing data and building tools in Python. Excellent verbal, written and presentation skills. 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-JW1

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it. What you’ll do Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features Experience and skills Must have: 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required Nice to have: LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) prompt optimisation frameworks (DSPy or similar) feature stores or personalization/ranking experience (relevant to in-app content recommendation work) healthcare, regulated-industry, or safety-critical AI systems experience data engineering fundamentals (Spark, Delta tables, Parquet) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000 — £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .