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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 to influence our company's roadmap and vision. WHAT YOU’LL DO As CISO, you will own Rain’s security governance, risk, and compliance strategy, with a particular focus on ISO certification and regulatory readiness, while partnering closely with engineering, infrastructure, legal, and operations teams. - Own and drive Rain’s information security and compliance strategy, with a primary focus on ISO 27001 (and related standards) readiness, certification, and ongoing maintenance - Serve as the executive owner for security compliance programs (e.g., ISO 27001, SOC 2, vendor risk, customer security reviews) - Design, implement, and continuously improve Rain’s security governance framework, including policies, standards, and risk management processes - Partner closely with Engineering, Infrastructure, Product, Legal, and Operations to embed compliance and security requirements into technical and business workflows - Lead and manage external audits, certifications, and assessments, acting as the primary point of contact for auditors and assessors - Translate regulatory, customer, and partner security requirements into practical, scalable controls that align with Rain’s architecture and operating model - Own the risk management lifecycle, including risk identification, assessment, prioritization, and executive reporting - Establish and track security and compliance metrics, reporting posture, progress, and risk to executive leadership and the board as needed - Oversee incident response governance, ensuring policies, playbooks, and escalation paths meet compliance and regulatory expectations WHAT WE'RE LOOKING FOR - 8–12+ years of experience in information security, GRC, or security leadership roles, with demonstrated ownership of compliance programs - Hands-on experience leading ISO 27001 certification efforts (initial certification and/or ongoing surveillance audits) - Experience operating as a security leader in a high-growth, technology-driven company, ideally in fintech, payments, or regulated environments - Strong understanding of security governance, risk management, and control frameworks (ISO 27001/27002, SOC 2, NIST, etc.) - Proven ability to partner effectively with engineering and technical teams to implement controls in cloud-native and application-driven environments - Experience managing third-party risk, customer security questionnaires, and enterprise security reviews - Ability to clearly communicate risk, tradeoffs, and priorities to executives and non-technical stakeholders NICE TO HAVE, BUT NOT MANDATORY - Experience with additional frameworks such as SOC 2 Type II, PCI DSS, ISO 22301, or regional regulatory requirements - Prior experience acting as a first or early security leader at a scaling company - Familiarity with cloud security and modern application architectures, even if not hands-on day-to-day - Experience supporting global customers or international compliance requirements - Security or compliance certifications (e.g., CISSP, CISM, ISO 27001 Lead Implementer / Auditor) - Experience presenting security posture or risk assessments to boards or executive committees THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

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

Location: Honduras; Guatemala; Peru; Dominican Republic; El Salvador Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence. Responsibilities Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California. Develop comprehensive structural engineering plans and make recommendations based on your findings. Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated. Use structural analysis software to model and design wood-frame structures. Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions. Provide technical guidance and mentoring to team members. Requirements At least 4 years of experience in woodframe structural engineering in projects for the United States. Proficient iin California Building Codes. Proficient in Autocad and EnerCalc RISA3D nice to have Excellent problem-solving skills and critical thinking abilities. Strong attention to detail and ability to complete projects within given timelines. Exceptional written and verbal communication skills in English. Benefits Work From Home or anywhere. Highly Competitive Compensation. Work for the most exciting companies in the US. Flexible Schedule. Healthy Work-Life Balance

Location: Mexico Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence. Responsibilities Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California. Develop comprehensive structural engineering plans and make recommendations based on your findings. Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated. Use structural analysis software to model and design wood-frame structures. Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions. Provide technical guidance and mentoring to team members. Requirements At least 3 years of experience in woodframe structural engineering for residential projects in California. Proficient in California Building Codes. Proficient in Autocad and EnerCalc Advanced Revit skills RISA3D nice to have Excellent problem-solving skills and critical thinking abilities. Strong attention to detail and ability to complete projects within given timelines. Exceptional written and verbal communication skills in English. Residential Project Design portfolio Benefits Work From Home or anywhere. Highly Competitive Compensation. Work for the most exciting companies in the US. Flexible Schedule. Healthy Work-Life Balance

Location: Colombia Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence. Responsibilities Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California. Develop comprehensive structural engineering plans and make recommendations based on your findings. Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated. Use structural analysis software to model and design wood-frame structures. Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions. Provide technical guidance and mentoring to team members. Requirements At least 4 years of experience in woodframe structural engineering in projects for the United States. Proficient iin California Building Codes. Proficient in Autocad and EnerCalc RISA3D nice to have Excellent problem-solving skills and critical thinking abilities. Strong attention to detail and ability to complete projects within given timelines. Exceptional written and verbal communication skills in English. Benefits Work From Home or anywhere. Highly Competitive Compensation. Work for the most exciting companies in the US. Flexible Schedule. Healthy Work-Life Balance

Location: Argentina Uptalent.io is seeking a highly skilled and experienced Woodframe Structural Engineer to join our fast-growing team. As a Woodframe Structural Engineer, you will have the opportunity to work with the top talent from Latam and contribute to some of the most exciting and impactful projects around the world. Uptalent.io is a global platform that connects the best companies with the best talent, and we are looking for an individual who shares our passion for excellence. Responsibilities Design and analyze the structures of wood-frame buildings, (mainly Residential projects) ensuring they meet applicable codes and standards of California. Develop comprehensive structural engineering plans and make recommendations based on your findings. Work closely with architects, builders, and other engineers to ensure that all structural components are properly designed and integrated. Use structural analysis software to model and design wood-frame structures. Manage project budget and timelines, identifying conflicts and making recommendations for corrective actions. Provide technical guidance and mentoring to team members. Requirements At least 4 years of experience in woodframe structural engineering in projects for the United States. Proficient iin California Building Codes. Proficient in Autocad and EnerCalc RISA3D nice to have Excellent problem-solving skills and critical thinking abilities. Strong attention to detail and ability to complete projects within given timelines. Exceptional written and verbal communication skills in English. Benefits Work From Home or anywhere. Highly Competitive Compensation. Work for the most exciting companies in the US. Flexible Schedule. Healthy Work-Life Balance

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

Location: Singapore Workplace: OnSite ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for a highly motivated, self-starter founding Account Executive in Singapore who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements - 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in English and one of the SEA languages (e.g. Bahasa Melayu, Thai, or Tagalog) and a deep understanding of business, cultural, and buying nuances across Southeast Asia - Experience selling across multiple Asian markets (Southeast Asia/ASEAN ) is strongly preferred. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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

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

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

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Shanghai, China About the Company: Our client is a fast-growing tech start-up founded in 2018 that is revolutionizing the way travelers stay connected to the internet abroad. With a diverse team of over 500 professionals globally, they are helping millions of travelers stay connected across more than 180 destinations worldwide. About the Role: Own the end-to-end launch and scaling of our client in China: define and execute the go-to-market plan, build the initial local team (starting with 2 direct reports), establish compliant operations, leverage global functional teams (Product, Tech, Legal, Marketing, Finance, Ops) and external partners to reach sustainable growth. This is an entrepreneurial role: you will be the face of our client in China and accountable for performance, execution quality, and building a long-term market presence using global resources. This role is ideal for a strategic thinker and strong executor who is excited to build something from scratch and thrive in a fast-paced, entrepreneurial environment. Key Responsibilities: Market Entry and Growth Define and continuously refine the China market-entry strategy (segmentation, positioning, channel mix, pricing, and launch phasing) to ensure scalability. Own end-to-end GTM execution across acquisition, conversion, retention, and brand—ensuring local relevance (platforms, creators/KOLs, partnerships) and scalable growth. Establish a performance cadence: weekly funnel reviews, experiment roadmap, and cross-functional execution with Global teams. Develop and execute the China partnerships strategy across distribution, travel ecosystem players, device/retail channels, payments, affiliate/KOL networks, and B2B alliances. Operations, Finance & Local Team Define and set up local operating rhythm coordinating cross-functional resources globally to deliver locally. Manage external China counsel to ensure compliance requirements that impact growth and operations, own the compliance roadmap, proactively track regulatory changes, and align actions with our client's global Legal team. Manage external accountants (bookkeeping, tax filings, statutory reporting, payroll coordination) in close alignment with Global Finance, ensuring timely closes, accurate reporting, compliant local processes and controls. Manage and hold accountable external partners, including marketing agencies and other third parties as required, ensuring clear objectives, performance tracking, and alignment with business goals. Coach, and lead the initial two-person team, with a scaling plan as the business grows. Build a scalable operating model to support sustained growth Product Localization Build a plan and ensure execution to customize our product to the Chinese users, ensuring local adaptations and scalability (full UX adaptation, language, support flows, purchase journey, local trust signals). Advise on China local tech stack and coordinate delivery with Global Tech. Own the “China readiness” roadmap and ensure launch quality. Business Ownership Own the China P&L inputs (budgeting, forecasting, unit economics, and spend governance), ensure reporting and controls, and stay tightly aligned with Global Finance and executive leadership. Report progress and trade-offs to the executive steering group; align global teams on priorities and timelines. Requirements Must-Haves 8–12+ years in high-growth tech / consumer internet, with 3–5+ years owning China go-to-market and building local operations from scratch. Demonstrated success launching and scaling a digital product/brand in China, delivering measurable outcomes. Knowledge of China’s key digital platforms and growth levers (e.g., performance marketing, affiliate ecosystems, major distribution channels). Strong partnership and negotiation capability; comfortable building ecosystems from scratch. Demonstrated success managing external partners, including negotiations, performance oversight, and alignment to business objectives. Ability to translate regulatory/compliance requirements into practical roadmaps that protect growth, Experience managing budgets, forecasts, unit economics; able to partner closely with Global Finance and drive clean reporting and controls. Strong ability to mobilize global resources and teams across time zones with clear prioritization and reliable follow-through. Comfortable operating with ambiguity; hands-on builder mindset; can lead with a small team while mobilizing global functions Strategic thinker with a builder’s mindset, able to independently develop go-to-market plans and operations from the ground up. Experience leading small, high-impact teams; can coach early hires and scale the org as growth increases. Fluent Mandarin + professional English with strong stakeholder management and cross-cultural communication. Nice-to-Haves Prior experience working in travel, e-commerce, telco, or consumer tech industries. Familiarity working with China-specific tech tooling and constraints (local hosting, analytics, platform integrations) and translating product needs into delivery plans with central Tech teams. Prior experience working alongside local counsel/accounting firms on filings, tax, payroll, and statutory processes. Experience localizing a global brand for China (positioning, pricing, trust-building, channel strategy). MBA or consulting strategy background is a plus.

Location: Toronto; San Francisco; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. As a Site Reliability Engineer you will: - Build self-service systems that automate managing, deploying and operating services. - This includes our custom Kubernetes operators that support language model deployments. - Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. - Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation. - Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback. - Develop our team through knowledge sharing and an active review process. You may be a good fit if you have: - 5+ years of engineering experience running production infrastructure at a large scale - Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters - Experience with Kubernetes dev and production coding and support - Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving - Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments - Experience in compute/storage/network resource and cost management - Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork - The grit and adaptability to solve complex technical challenges that evolve day to day - Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference. - Strong understanding or working experience with distributed systems. - Experience in Golang, C++ or other languages designed for high-performance scalable servers). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco; New York; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: - 5+ years of engineering experience running production infrastructure at a large scale - Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters - Experience with Kubernetes dev and production coding and support - Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving - Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments - Experience in compute/storage/network resource and cost management - Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork - The grit and adaptability to solve complex technical challenges that evolve day to day - Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference. - Strong understanding or working experience with distributed systems. - Experience in Golang, C++ or other languages designed for high-performance scalable servers). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.