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Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU’LL WORK ON: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements YOU MAY BE A FIT IF: Core Experience - You have experience securing cloud-native infrastructure and distributed systems in production - You have a background in infrastructure, backend, or security engineering - You’ve worked in multi-tenant or high-scale environments Technical Depth - You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - You’ve designed or secured isolation mechanisms in multi-tenant systems - You have a solid understanding of authentication, authorization, and service identity models - You have experience with secrets management and secure handling of credentials - You have a strong foundation in networking concepts (segmentation, service communication, access boundaries) Mindset - You have a builder mentality: you design and implement, not just review - You take a pragmatic approach to security in fast-moving environments - You’re comfortable working deeply with engineers and influencing system design NICE-TO-HAVE: - Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar) - Familiarity with kernel-level or low-level isolation primitives - Experience securing Kubernetes or similar orchestration systems in production - Background in developer infrastructure, compute platforms, or multi-tenant systems

Location: Korea Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About the Role This role sits within the Aptos Foundation , the ecosystem-building arm of Aptos focused on driving adoption, supporting developers, and growing global communities. While closely aligned with Aptos Labs and its broader mission, the Foundation operates independently to accelerate network growth through community engagement, strategic initiatives, and ecosystem development. We’re looking for a Community Manager focused on Korea to lead local growth efforts across both the Aptos ecosystem and Decibel, our flagship onchain perpetuals exchange. This person will be responsible for building and activating trading communities, developing relationships with key ecosystem participants, and driving meaningful engagement across one of the most important crypto markets globally. Responsibilities Serve as the primary point of contact for Korean traders, ecosystem builders, and community members across Aptos and our flagship onchain perpetuals exchange, Decibel Build, activate, and grow local trading communities through online channels (Telegram, Kakao, Discord, X, etc.) and offline events, with a focus on attracting and retaining active traders Identify and engage high-value traders, KOLs, and trading communities within Korea, converting them into active Decibel users and ecosystem advocates Plan and execute local events, meetups, AMAs, and trading competitions that drive user acquisition and deepen engagement with Decibel Connect ecosystem builders and projects with technical resources, funding opportunities, and co-marketing support to accelerate local growth Gather and synthesize trading community feedback and sentiment, sharing structured insights with product, engineering, and marketing teams Collaborate with the community and marketing teams to localize campaigns, content, and programs for the Korean market Develop long-term relationships with traders, founders, developer communities, and industry partners to build lasting advocacy for Aptos and Decibel What we're looking for: 2-4 years of experience in community management, ecosystem development, or trader relations in web3 Active participant or power user in crypto trading communities; you understand the culture, the language, and what traders actually care about and have had meaningful exposure to derivatives, perps, and onchain trading products An established network within the Korean crypto trading ecosystem; connections to KOLs, trading groups, or derivatives communities are a strong plus Deep familiarity with the Korean web3 landscape, including local platforms, communities, and the dynamics of trader acquisition in the region Hands-on experience running community-facing events: AMAs, trading competitions, workshops, or regional meetups Sharp communicator in both Korean and English, with the ability to engage traders, builders, and technical teams equally well Comfortable operating in a fast-moving environment across multiple workstreams simultaneously Willingness to travel within Korea and the broader region as needed Strongly Preferred: Proficiency in English (written and verbal) Team-oriented, community-minded approach to work Willingness and ability to travel and represent Aptos as needed The Benefits listed below are for Full-time employees. Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

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 Atlas gives teams a way to build and use internal software with AI, with the infrastructure to connect company tools, manage access, and share what they build. We're hiring a Product Manager to help take Atlas from a new product to something teams rely on every day. You'll identify the most valuable problems to solve, work closely with engineering and design to ship, and figure out what turns early interest into adoption. This role spans product discovery, launch, and the work that comes after: learning from real usage and deciding where to go next. The product team at WorkOS works closely with developers and technical buyers who have strong opinions and high standards. Our engineers bring sharp product instincts, and you'll be a close partner in deciding what to build and why. You'll have room to shape the product, make decisions with incomplete information, and move quickly as you learn. WHAT YOU'LL DO - Own product direction and outcomes for Atlas, from identifying customer problems through discovery, delivery, launch, and iteration. - Work directly with early users to understand what they're trying to build, where they get stuck, and what would make Atlas useful in their everyday work. - Turn those insights into a clear roadmap, making deliberate choices about which use cases to pursue and what to ship first. - Partner closely with engineering and design to turn technical capabilities into a product people can understand and use. - Define success metrics for activation, adoption, and continued use, and use customer feedback and product data to guide your next decisions. - Work with marketing, sales, and other go-to-market partners to bring Atlas to market and communicate its value clearly. - Follow how people are building with AI and agents, and use what you learn to identify new product opportunities. WHAT WE'RE LOOKING FOR - Experience building products for developers or technical B2B users, with the technical fluency to work closely with engineers and understand customer workflows. - A track record of taking a new product from an early idea to launch and adoption. You can explain the decisions you made, what you learned from users, and how the product changed as a result. - Strong product judgment: you can find a useful starting point in an ambiguous problem and decide what matters most. - A habit of talking to customers and using what you learn to shape the product. - The ability to move quickly, make decisions without perfect information, and adjust as new evidence comes in. - Clear communication and strong partnerships with engineering, design, and go-to-market teams. ESPECIALLY RELEVANT EXPERIENCE - Shipping agentic products, or working directly alongside teams building them. Recent experience with how people use agents to get work done is a strong plus. - Bringing a new developer tool or technical B2B product to market and building its early adoption. - Working on pricing, packaging, or a product-led growth motion. 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 We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together. You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective. You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.   RESPONSIBILITIES - Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems. - Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals. - Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate. - Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows. - GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off. - Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency. QUALIFICATIONS - Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code. - GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs. - Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously. - 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company. 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: 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 and sub-second multimodal inference at scale 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. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. 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 engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput 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 engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move 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: UK 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 and sub-second multimodal inference at scale 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. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. 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 engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput 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 engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, 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: Serbia 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 and sub-second multimodal inference at scale 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. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. 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 engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput 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 engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. 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: Germany 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 and sub-second multimodal inference at scale 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. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. - Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. 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 engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput 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 engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. 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: Mountain View, California, USA Workplace: Hybrid 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 and sub-second multimodal inference at scale 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. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. 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 engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput 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 engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $270,000 - $430,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Osaka, Japan; Kyoto, Japan Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in Japan. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the country, as well as broader legislation pertaining to topics such as communication technology and artificial intelligence, and who is excited by the opportunity to apply their existing regulatory affairs and / or legal experience in an exciting and dynamic business environment. To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements. You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the region, as part of enabling the broader business strategy across Tether’s business verticals. The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development. You will report to the Vice President of the Regulatory and Licensing division, and work alongside project managers and members of the wider business to execute on regulatory affairs initiatives. Responsibilities Regulatory Affairs Maintain proactive relationships with policymakers, regulators, central banks, and financial intelligence units relevant to the Company’s product and service lines. Monitor regulatory developments impacting Tether and affiliates companies in the country. Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues. Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy. Identify and successfully realise opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner. Strategy & Cross-Functional Collaboration Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial). Support enterprise-level planning for new products or expansions into the aforementioned countries, advising on regulatory constraints and enablers. Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory regionally. Minimum of 8 years governmental affairs / regulatory affairs / legal experience ideally within the financial services or crypto-asset industry in Japan. Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. English speaking. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. Shape Reddit’s approach to an enterprise-grade RAG system Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. Own the end-to-end platform strategy from concept through production adoption and long-term evolution. Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management. Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems. Partner across engineering, product, and leadership to align platform investments with company priorities and user needs. Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience. Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy. Who You Might Be: 10+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles. Have a track record of leading technical strategy and delivering AI platforms in cloud-based production environments at scale. Demonstrate strong execution by turning strategy into action, driving complex initiatives end to end, and consistently delivering high-quality platform outcomes. Bring deep experience operating Kubernetes and other orchestration systems in large-scale production environments. Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc. Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders Strong focus on scalability, reliability, performance, and developer experience. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle. Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $292,500 — $409,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Product Manager to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Founding Product Manager to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform. It’s an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on Founding Product Manager for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Our goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems and AI-driven analysis and automated enforcement through AI Agents. Key Responsibilities: Define and build product for new cyber security product from scratch Design end-to-end user journeys across the entire platform, from onboarding to daily usage and advanced workflows Define platform information architecture, navigation, and core UX principles Own wireframes, user flows , and interaction logic (from low-fidelity to production-ready concepts) Prepare tickets and own backlog Translate user needs, risk scenarios, and business goals into intuitive UI/UX decisions Contribute the product vision and translate it into a clear, actionable roadmap Ensure complex security and risk concepts are expressed in simple, usable interfaces Drive product discovery , validation, and prioritization from day zero Work closely with engineering, security, and data teams to ship the right product fast Define MVP scope, iterate based on real customer feedback, and avoid over-engineering Balance security, usability, and scalability in a complex cyber risk platform Represent the product internally and externally with customers, partners, and investors Build whole platform from scratch Must have skills: 10+ years of hands-on experience designing complex B2B SaaS web platforms for technical products Proven ability to scatch end-to-end user journeys using Figma (flows, wireframes, interactive prototypes) Strong experience with design systems and component-based UX (Figma libraries, tokens, variants) Ability to write clear PRDs, user stories, and acceptance criteria in Notion, Confluence, or similar Experience working closely with engineering teams using Jira, Linear, or GitHub Projects Solid understanding of REST APIs of SaaS integrations and backend-driven UIs (can read OpenAPI / Swagger specs) Experience defining data-heavy dashboards (tables, filters, charts, drill-downs) Strong grasp of UX for complex domains (security, risk, finance, compliance, or enterprise admin tools) Familiarity with event tracking and product analytics Experience in using TOP product AI tools Ability to run user interviews and usability testing and translate findings into product decisions Strong understanding Ability to build things from scratch at early stage startup High ownership mentality, startup mindset, and ability to move quickly. Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality . Strong problem-solving skills and ability to work in a collaborative environment. Excellent English communication skills Nice-to-have requirements: Experience with cybersecurity, IAM, GRC, or risk management platforms Understanding of RBAC / ABAC , permissions modeling, and role-based UX Experience working with AI-powered features (recommendations, scoring, summaries, user flow generators) Familiarity with data visualization libraries Exposure to frontend frameworks such as React, Next.js , or Vue (no coding required) Experience collaborating with teams using Go, Java, or Python backends Understanding of enterprise buying personas (CISO, CTO, Security, Risk teams) Experience designing multi-tenant SaaS platforms Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience in security or risk management products Experience designing permission models, identity graphs, or access control frameworks . Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with AI agents implementations Previous experience in cybersecurity , identity startups. You are a fan of rock or metal music. Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical product decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security product across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the product team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your product vision become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: New York, NY Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You're a product leader who has spent years in the trenches with institutional clients, guiding them through complex technical integrations — and you've come out the other side knowing where those efforts succeed, stall, or fall apart. You understand the client journey across sales, testing, and eventually go live. As Director, Product Manager Institutional Platform, you will own the end-to-end experience of enterprise clients integrating with Galaxy's institutional custody and trading services. You'll work hand-in-hand with clients' technical and operations teams, as well as Galaxy's engineering, trading, operations, and client service organizations, to make every integration smoother, faster, and more predictable than the last — and you'll turn what you learn into documentation, tooling, and support resources that scale. What You’ll Do: Own the product experience for enterprise clients using Galaxy's institutional custody and trading platform, from initial technical scoping through go-live and steady-state usage. Act as the primary product point of contact for clients during integration, translating their requirements across market data, order entry, trade reconciliation and settlement, and post-trade reporting into clear technical and product specifications, always keeping an eye towards best in class UX and repeatable processes. Partner directly with client engineering and operations teams to troubleshoot integration issues, unblock technical dependencies, and keep complex, multi-workstream onboardings on track. Collaborate closely with engineering, trading, operations, and compliance to ensure the platform's APIs, workflows, and tooling meet the real-world needs of institutional clients integrating for custody, staking, and trading. Identify recurring friction points across client onboardings and drive the roadmap for internal tools and platform improvements that reduce integration time and support burden. Own and continuously improve Galaxy's client-facing documentation — API references, integration guides, runbooks, and FAQs — so clients can self-serve wherever possible. Define and track metrics for onboarding health (time-to-integration, support ticket volume, client satisfaction) and report progress and blockers to product and business leadership. Represent the voice of the client internally, ensuring product and engineering prioritization reflects real integration/usage pain points and institutional client needs. What We’re Looking For: 10+ years of experience in product management, solutions engineering, or a related technical role, with a meaningful portion of that in digital assets. Direct, hands-on experience managing enterprise clients through technically complex integrations. Familiarity with custody and staking workflows in the digital assets industry, and the operational and security considerations unique to them. Demonstrated ability to translate ambiguous or highly technical client requirements into clear specifications, documentation, and product priorities. Track record of building or substantially improving client-facing documentation, developer guides, or support resources. Excellent stakeholder management skills — comfortable working directly with client technical teams and internal engineering, trading, and operations stakeholders simultaneously. Ability to manage multiple concurrent client relationships without losing sight of the details. Bonus Points: Experience at a crypto exchange, custodian, prime broker, or institutional trading platform. Background in technical writing or developer experience (DX) roles. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free virtual coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $275,000 — $300,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Serbia Workplace: remote ABOUT YOU We are seeking a highly skilled Senior Software Engineer – Payments to design, build, and maintain core components of our payment processing platform — spanning both credit card acquiring and alternative payment methods (APMs). Working closely with the Tech Lead and cross-functional partners in Product, Finance, and Risk, you will take ownership of critical payment flows across the full ecosystem: from real-time card authorization through clearing, settlement, and reconciliation, to wallets, bank transfers, local payment methods, and beyond. This role is for an engineer who thrives in complex, high-stakes financial systems, cares deeply about data integrity, and brings both the technical depth and collaborative instincts to contribute meaningfully across the full payments stack. 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 reach more players and grow their businesses around the world. For more information, visit xsolla.com. RESPONSIBILITIES Credit Card Payment Processing Implement and maintain scalable, fault-tolerant services handling real-time authorization, batch clearing, and settlement workflows. Build and maintain integrations with acquiring banks, card networks (Visa, Mastercard, Amex, Discover), payment gateways, fraud providers, and tokenization services. Implement resilient routing logic, retry strategies, and failover mechanisms across card network connections. Ensure transaction idempotency and correct state management across the full card payment lifecycle. Support 3D Secure (3DS2) and Strong Customer Authentication (SCA) flows. Implement and maintain card vaulting and tokenization solutions in line with PCI DSS requirements. Alternative Payment Methods (APMs) Build and maintain integrations with a broad range of APMs, including digital wallets (PayPal, Apple Pay, Google Pay), bank transfers (ACH, SEPA, instant bank pay), buy now pay later (BNPL) providers, prepaid and voucher methods, and regional local payment methods across key markets. Design flexible, extensible integration patterns that allow rapid onboarding of new payment methods and providers. Handle the unique lifecycle requirements of each payment method — including asynchronous notifications, delayed confirmations, refund flows, and currency/settlement nuances. Collaborate with Product to evaluate and prioritize new APM integrations based on market coverage and player demand. Reconciliation & Financial Integrity Build and maintain automated reconciliation pipelines that match authorization, clearing, and settlement records across both card and APM payment rails. Reconcile internal ledgers against acquirer, network, and PSP reports; detect and surface mismatches, duplicates, and missing transactions. Develop safeguards to prevent revenue leakage and ensure ledger consistency at scale. Ensure all financial systems are audit-ready and compliant with internal financial controls. Reporting, Monitoring & Alerting Build and maintain payment reporting systems covering authorization rates, settlement reconciliation, interchange and fee breakdowns, APM conversion rates, and chargeback/dispute metrics. Implement threshold-based alerting for authorization rate drops, decline pattern anomalies, settlement mismatches, volume spikes, and chargeback ratio changes across all payment methods. Contribute to internal financial dashboards supporting cost optimization, risk monitoring, and financial performance visibility. Participate in on-call rotations and incident response for payment-critical systems. Compliance & Security Build systems compliant with PCI DSS , card network operating regulations, data encryption and tokenization standards, and regional mandates. Contribute to secure handling of sensitive payment data across card and APM flows. Support audit processes and financial compliance reviews as required. Fraud & Dispute Management Integrate with fraud detection and risk scoring systems across card and APM payment flows. Implement chargeback and dispute workflow components, including evidence submission and representment support. Build safeguards and monitoring for fraud pattern detection across payment methods. Engineering Excellence Write clean, well-tested, well-documented code with a strong focus on reliability, observability, and correctness. Participate actively in code reviews, technical design discussions, and architecture decisions. Contribute to best practices for distributed systems design, observability, incident response, and financial data integrity. Mentor junior engineers and contribute to a high-trust, high-accountability engineering culture. QUALIFICATIONS & SKILLS 5+ years of software engineering experience, with a strong focus on PHP and Go (Golang) tech stacks at least 2+ years working on payment processing systems in production Hands-on experience with card payment flows: authorization, clearing, settlement, reconciliation, and chargebacks. Experience integrating with or building against one or more APM providers (wallets, bank transfers, BNPL, local payment methods). Solid understanding of the four-party (Visa/Mastercard) and three-party (Amex/Discover) models , including interchange, BIN logic, MCC codes, AVS, CVV, and 3DS/SCA. Strong understanding of distributed systems: idempotency, eventual consistency, fault tolerance, and high availability. Proficiency in designing and consuming RESTful and/or event-driven APIs in a payments context. Familiarity with PCI DSS and payment data security fundamentals. Strong debugging and incident response skills in complex, high-volume financial systems. NICE TO HAVE Experience at a PSP, acquirer, issuer, payment gateway, or fintech platform. Familiarity with global payments and cross-border processing, including FX, local settlement, and regulatory considerations. Experience at high transaction volumes (10M+ monthly transactions). Exposure to authorization rate optimization and intelligent payment routing. Familiarity with the gaming, digital goods, or e-commerce payments landscape. Experience with audit processes and financial compliance reviews. WHAT SUCCESS LOOKS LIKE In your first 6 months, you will have: Delivered meaningful improvements to at least one area of the card or APM payment stack — whether a new integration, a reconciliation improvement, or a reliability/observability uplift. Demonstrated deep ownership of a payment domain area, proactively identifying and resolving gaps in reliability, correctness, or coverage. Built strong working relationships with the Tech Lead, PM, and cross-functional stakeholders across Finance and Risk. Contributed to engineering practices that raise the quality bar for the broader payments team. 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 through a comprehensive Benefits Program. This includes unlimited Flexible Time Off 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.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   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 takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Product team at Harvey, you'll play a critical role in designing and building new backend systems while equally scaling and strengthening our existing infrastructure. Our backend infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership - Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence NICE TO HAVE - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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 You'll be the lead iOS engineer at Rain, owning mobile alongside the lead Android developer from the ground up. Our partners use Rain's issuance platform and APIs to power card programs, wallets, and payment experiences for their end users, and you'll be the person who brings those experiences to life on iOS. You'll work directly with product, design, and our platform engineering team to define what great mobile looks like for Rain's clients and their customers. What you’ll do - Own the entire iOS development lifecycle, from architecture and implementation to App Store delivery - Build polished, production-grade mobile apps that leverage Rain's issuance platform and APIs for clients and their end users - Collaborate closely with product, design, and backend engineers to define the mobile roadmap and translate platform capabilities into intuitive native experiences - Architect a clean, scalable codebase that can serve as the foundation as the mobile team grows - Integrate with Rain's APIs for card issuance, transaction management, balance queries, and other payment flows - Implement secure authentication, tokenization, and data handling appropriate for a financial services context - Drive decisions on tooling, frameworks, CI/CD, and testing strategy for mobile - Contribute to the broader engineering culture as an early team member with outsized influence on how we build You are likely to succeed if you have: - 4–10 years of professional mobile development experience, with multiple apps shipped to the App Store - Proficiency in Swift and deep familiarity with Apple's frameworks (UIKit, SwiftUI, Combine, Core Data, etc.) - Experience architecting iOS apps from scratch. You've made foundational decisions on project structure, navigation patterns, state management, and dependency injection - Solid understanding of networking layers, RESTful API integration, and secure data handling - A disciplined approach to code quality: you write testable code, value code review, and care about maintainability - Comfort working autonomously with minimal direction — you'll be the mobile expert in the room - Strong product sensibility: you think beyond tickets and advocate for great user experiences - Excellent communication skills; you can translate technical tradeoffs for non-technical stakeholders Bonus attributes: - Experience in fintech, payments, or crypto/web3 - Familiarity with card issuance, wallet UX, or financial transaction flows - Experience with WKWebView-based hybrid architectures or embedded SDK patterns - Background in building white-label or multi-tenant mobile experiences - Exposure to CI/CD tooling for iOS (Fastlane, Xcode Cloud, Bitrise, etc.) - Experience being the first or early mobile hire at a startup 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: Remote Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly grew into one of the leading technology power houses of the industry. First announced at the Bitcoin 2025 conference in Las Vegas in May, Blockstream Enterprise https://blockstream.com/enterprise/ is a Bitcoin-focused software suite enabling banks, prime brokers and corporations to safely and securely custody Bitcoin and manage tokenization and treasury operations. We are seeking a Senior Product Manager to join our Enterprise product team to lead the ongoing development and adoption of our Enterprise solution. What You’ll Be Doing (Responsibilities): 70% – Technical Product Management - Translate vision into actionable roadmap, own the product narrative and communicate effectively to all levels of the organization - Engage with engineering in technical conversations, understanding implications of technical decisions, and align Engineering work to product goals - Lead project execution, anticipating and resolving roadblocks, coordinating the work of teammates, and clearly communicating goals and status with the organization - Identify product opportunities, translating them into clear milestones and artefacts that align with Business Objectives 30% – Discovery & Research - Support Continuous Discovery habits, engage in market and customer research, follow regulatory/market news, identify trends - Conduct customer discovery workshops, document findings, translate insights into signals and identify gaps in the product roadmap - Drive product requirements, drive product documentation and own the workstream, collaborating with Engineering, Design, Business and Marketing teams - Gather qualitative and quantitative data to be able to support or challenge product assumptions/feature requests What We Look For In You (Required Qualifications): - 7+ years of experience as a Product Manager in a regulated environment with a proven track record of delivering impact - Understanding of blockchain-based technology, crypto custody best practices, and the tokenization lifecycle - Exceptional communication skills and aptitude for conveying complex technical concepts - Comfort with the pace, scrappiness and dynamic environment within a growing startup. - Currently residing in the EU (European Union) - Excellent written and verbal English communication skills Nice To Haves (Preferred Qualifications): - Prior work experience on Bitcoin-related products - Experience with other enterprise-focused crypto products and their application / adoption among businesses from the TradFi sector - Deep understanding of traditional financial systems, services & products - A holistic understanding of the major interoperable cash generating units within global money center banks: Commercial banking, investment banking, prime brokerage and asset management - Prior knowledge of Liquid and its role in the Bitcoin ecosystem - Languages: Russian and/or Ukrainian 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: London Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We are seeking a highly skilled Quantitative Developer to join our Crypto trading desk. The successful candidate will collaborate with traders, quants, and other developers to design, implement, and optimize market making and quantitative trading strategies. This role requires a strong background in software development, quantitative analysis, and financial markets, particularly in the FX and Crypto trading domains. What You’ll Do: Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets Collaborate with traders and quantitative analysts to understand trading strategies and translate them into efficient code Optimize existing trading systems for speed, reliability, and scalability Integrate new data sources and ensure data integrity for accurate model input Monitor and troubleshoot live trading systems, ensuring minimal downtime and optimal performance Stay up-to-date with the latest advancements in quantitative finance, software development, and Crypto markets Contribute to the continuous improvement of development processes and tools Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work What We’re Looking For: Experience working in algorithmic trading environments in Java. Knowledge of tick data analytics and real-time market data processing. Familiarity with cloud-based market access or hybrid deployments. Proven experience in developing and implementing quantitative models and trading algorithms Strong programming skills in Java Experience with high-frequency / low-latency trading systems Experience working on an FX or Cryptocurrency trading desk Experience in integrating and executing strategies on DeFi platforms (SOL/ETH) Excellent communication skills, both written and verbal Bonus Points: Experience in the DeFi, or crypto Experience with market making / market making as a service Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer*: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.