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Location: Montevideo, Uruguay 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 The Keet engine team works on the core that makes Keet tick: connecting peers, replicating data, syncing rooms, and keeping calls and file transfers fast and reliable across every kind of network. We're looking for an organized, curious Junior Project Manager to help keep that work moving. You'll work closely with a globally distributed team of senior engineers, help turn priorities into clear plans, and make sure nothing falls through the cracks between releases. This is a great role for someone early in their career who wants to grow into technical project or product management in a deeply technical, open-source environment. Responsibilities Track engine work across sprints and releases, keeping issues, milestones, and roadmaps current Run or support stand-ups, planning sessions, and retrospectives across time zones (mostly async) Coordinate between the engine team, Keet app/UI developers, and QA so dependencies are visible early Write clear status updates, release notes, and meeting summaries Help triage bug reports and user feedback, and route them to the right engineers Spot risks and blockers early and help the team resolve them Keep internal documentation and processes tidy and easy to follow Mandatory: 1–2 years of experience in project coordination, project management, or a similar role (internships and open-source involvement count) Excellent written English communication; you can explain technical progress clearly and concisely Highly organized, with strong attention to detail and follow-through Comfortable working with engineers and learning technical concepts quickly Experience with issue trackers and project tools (e.g. GitHub Issues/Projects, Jira, Linear) Self-starter who thrives in a fully remote, async-first team Preferred: Basic understanding of networking or distributed systems concepts (P2P, DHTs, NAT traversal, replication) Familiarity with software development lifecycles, Git, and release processes Some exposure to JavaScript/ Node.js or experience working alongside a dev team Interest in privacy, decentralization, or open-source software Agile/Scrum knowledge or a certification (PSM, CAPM, etc.) Experience working across many time zones 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: Buenos Aires, Argentina 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 The Keet engine team works on the core that makes Keet tick: connecting peers, replicating data, syncing rooms, and keeping calls and file transfers fast and reliable across every kind of network. We're looking for an organized, curious Junior Project Manager to help keep that work moving. You'll work closely with a globally distributed team of senior engineers, help turn priorities into clear plans, and make sure nothing falls through the cracks between releases. This is a great role for someone early in their career who wants to grow into technical project or product management in a deeply technical, open-source environment. Responsibilities Track engine work across sprints and releases, keeping issues, milestones, and roadmaps current Run or support stand-ups, planning sessions, and retrospectives across time zones (mostly async) Coordinate between the engine team, Keet app/UI developers, and QA so dependencies are visible early Write clear status updates, release notes, and meeting summaries Help triage bug reports and user feedback, and route them to the right engineers Spot risks and blockers early and help the team resolve them Keep internal documentation and processes tidy and easy to follow Mandatory: 1–2 years of experience in project coordination, project management, or a similar role (internships and open-source involvement count) Excellent written English communication; you can explain technical progress clearly and concisely Highly organized, with strong attention to detail and follow-through Comfortable working with engineers and learning technical concepts quickly Experience with issue trackers and project tools (e.g. GitHub Issues/Projects, Jira, Linear) Self-starter who thrives in a fully remote, async-first team Preferred: Basic understanding of networking or distributed systems concepts (P2P, DHTs, NAT traversal, replication) Familiarity with software development lifecycles, Git, and release processes Some exposure to JavaScript/ Node.js or experience working alongside a dev team Interest in privacy, decentralization, or open-source software Agile/Scrum knowledge or a certification (PSM, CAPM, etc.) Experience working across many time zones 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: San Francisco, CA; Chicago, IL; Austin, TX; Atlanta, GA; Tampa, FL; Seattle, WA; Boston, MA; New York, NY; San Diego, CA; Washington DC; Los Angeles, CA Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms KEY RESPONSIBILITIES - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. HOW TO BE SUCCESSFUL IN THIS ROLE - 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks. - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Location: Remote COMPENSATION - Annual salary range: $130,000 - $195,000 USD + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: New York City Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Austin, TX Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Austin, Texas Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Dallas, TX Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Dallas, TX Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Los Angeles, CA; Salt Lake City, UT; Seattle, WA; Denver, CO Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: Remote Compensation: $170,000-$270,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience - Willing to travel up to 20% of the time Location: San Francisco Compensation: $170,000-$300,000 base salary + equity Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Philippines Alvys is building modern infrastructure for the logistics industry. Our cloud-based TMS (Transportation Management System) powers freight operations with intuitive workflows, real-time visibility, and deep automation—helping carriers and brokers scale faster and operate smarter. We’re a fast-growing startup backed by top investors and are passionate about solving real-world problems for an essential industry.  We’re looking for a highly skilled and hands-on Accounting Manager. In this high-impact role, you’ll be responsible for establishing scalable processes, ensuring the accuracy and integrity of our financial data, and enabling operational excellence as we grow. Role overview Alvys builds the transportation management platform that carriers and brokers use to run their businesses. As we scale, we’re building a finance function that is rigorous, hands-on and increasingly automated. We’re hiring an Accounting Manager to take ownership of the accounting engine behind that growth and work closely with the Head of Finance as the senior accounting lead on the team. You’ll own the full accounting cycle — month-end close, general ledger, revenue, AP, payroll, tax and audit readiness — with responsibility for producing a clean, accurate and defensible set of books. This is a hands-on role for someone who understands the ledger deeply enough to explain what changed, why it changed and what needs attention. You’ll run the close end to end, review the work prepared by the team, own the areas that require judgment, and step into the details when needed. You’ll also help develop the team, strengthen our processes and continue building the automation layer behind the finance function. Key responsibilities Month-end close and general ledger Own the close calendar end to end — task assignment, deadlines, review, and the close results package delivered to the Head of Finance. Review and post the journal entries prepared by the team, and prepare the entries that carry judgment — commission and bonus accruals, payroll true-ups, and period-end reclasses. Perform detailed balance sheet reconciliations covering cash, AR, deferred revenue, prepaids and accruals. Run flux analysis (MoM, YoY) across the P&L and balance sheet, and write variance commentary that explains the movement. Maintain the chart of accounts and product master lists, and keep reporting mappings current. Revenue reporting and billing oversight Review and approve the monthly revenue close prepared by the billing analyst — the reconciliation of subscription and non-subscription revenue across Stripe, Salesforce and QuickBooks Online, and the entries that come out of it. Own revenue recognition policy under ASC 606 and make the judgment calls: usage overages, multi-element contracts, contract modifications, concessions and early terminations. Own annual recurring revenue reporting (ARR and CARR) — the monthly build, the roll-forward of new, expansion, contraction and churn, and the tie-out of that roll-forward back to booked revenue in the general ledger. Connect recurring revenue reporting to Salesforce pipeline and contract reporting, reconciling bookings, billings and recognized revenue with the billing analyst. Oversee invoicing, collections and the dunning cycle. Approve concessions, credit memos and refunds, and review the deferred revenue schedule against the billing system. Accounts payable, expenses and payroll Oversee vendor bills, payment runs and employee reimbursements in Ramp, in partnership with People Operations. Partner with People Operations on domestic and international payroll — review the runs, journalize them, and reconcile the clearing and benefits-payable accounts. Review commission calculations and book the corresponding accruals and true-ups. Financial reporting and expense forecasting Update the monthly expense forecast off closed actuals — run rate by department and GL account, vendor and contract commitments, headcount and compensation roll-forward. Maintain the amortization and accrual schedules that drive forward-looking operating expense, and carry the changes into the forecast as they’re booked. Explain spend variance against budget at the account and department level, and keep the supporting detail current for leadership reporting. Tax, compliance and audit Coordinate with our external advisors on federal, state and franchise tax filings. Own sales tax, 1099 and entity registration compliance. Run audit readiness and execution: PBC lists, supporting schedules, and auditor questions. Team and process Manage and develop a small analyst team covering AP and expense operations, and billing and AR. Serve as backup across the team’s work, and as the Head of Finance’s delegate on accounting matters. Own the accounting SOP library, the close checklist and the task repository, and keep all three current. Find manual and inefficient processes and eliminate them as we target an “autonomous close.” Our close, billing and reconciliation processes already run on a growing set of automations, and this role is expected to extend them. Minimum qualifications Experience 6+ years of progressive accounting experience, including ownership of a full close cycle and hands-on balance sheet reconciliation. Solid full general ledger background — you’ve prepared and reviewed entries across payroll, accruals and revenue, can defend a balance, and understand how accounting activity flows through the income statement, balance sheet and cash flow statement. Revenue recognition experience under ASC 606 in a subscription business. Experience managing, reviewing and developing other accountants. Systems QuickBooks Online — required. Daily hands-on experience: chart of accounts, journal entries, bank reconciliation, reporting. Stripe — required. Subscriptions, invoices, credit memos, disputes, payouts, and reconciling subscription billing activity into the general ledger. Advanced Google Sheets. Pivots, lookups, nested logic, data validation. Salesforce is a significant plus. AI fluency and automation — required Demonstrated, current use of AI in your accounting work. Be ready to tell us what you’ve automated, what it replaced, and how much time it gave back. Comfort writing prompts, iterating on output, and knowing when not to trust it. Everything AI produces is reviewed before it touches the ledger. Our finance function runs on a library of custom AI workflows built in-house. You’ll use them daily and be expected to build on them. Preferred CPA or active CPA candidate — someone committed to a career in accounting and finance. SaaS or technology industry experience. Prior exposure to a modern expense, HRIS or close-management platform. Personal attributes Hands-on by instinct. You review the work, and you prepare it yourself when the cycle calls for it — working a reconciliation, chasing a variance or covering a teammate’s queue during close week. Comfortable operating on a small team where the person who owns the number also understands and builds the schedule behind it. Growth mindset. This role is deliberately scoped to expand, and we’re looking for someone who wants that. Clear written communication. A large share of this job is explaining a variance or accounting issue to someone who does not work in finance. Why Alvys Ownership. You’ll run the close and monthly financial reporting, with direct review from and partnership with the Head of Finance. Modern stack. A cloud-native finance stack — QuickBooks Online, Stripe and Salesforce at the core — with an AI tooling layer we build ourselves. Proximity to decisions. You’ll work directly with leadership and have real influence on how the accounting function is built as the company scales. Growth. This role is designed to expand in scope, with a path toward Controller as the business and finance organization mature. Collaborative culture. Mission-driven people building the future of logistics technology, grounded in trust and transparency. Alvys — Join our Team If this sounds like your next challenge, we’d like to hear from you. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy .

Location: Lugano, Switzerland 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Dublin, Ireland 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Dubai, United Arab Emirates 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Tbilisi, Georgia 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Lisbon, Portugal 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Madrid, Spain 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 QV.AC is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction. We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar. The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself. Responsibilities Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference. Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them. Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it. Mandatory: Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps. Strong product sense : you can tell a good feature from a busy one. Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away. You use AI tools heavily in your own work and enjoy experimenting with new models and capabilities. Deep JavaScript and React . Initiative, curiosity, resilience , and the ability to give and receive direct critique. Preferred: Bonus: Experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source . 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: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members. As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support. Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty. RESPONSIBILITIES - Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. - Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. - Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit. - Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift. - Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints. - Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable. - Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself. - Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction. QUALIFICATIONS - Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field. - 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain. - Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient. - Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data. - Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain. - Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations. - Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow). - Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Remote, USA Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Legal Systems Engineer to build, customize, and connect the systems behind our contracting, procurement, and revenue operations. This role will sit within the Legal team while supporting systems and workflows that span the broader organization. You will work across Ironclad, Ramp, HubSpot, and other business-critical tools, partnering closely with Legal, Finance, RevOps, Sales, and other cross-functional teams. This is a hands-on individual contributor role for someone who can combine strong technical systems expertise with sound operational judgment. You will own integrations, workflows, automation, reporting, release processes, and secure AI connections across the business systems that support how Higgsfield operates.   What you'll do: - Own the design, build, and ongoing improvement of Ironclad intake forms, workflows, approvals, templates, clause libraries, and data across every agreement type Higgsfield signs. - Manage Ironclad users, permissions, and SSO to ensure confidential and privileged information remains appropriately restricted. - Maintain system documentation and establish scalable processes for ongoing administration and support. - Troubleshoot system issues, manage vendor escalations, and train users across teams. Build Integrations and Automation - Build and maintain integrations between Ironclad and HubSpot, Ramp, Hex and other business systems. - Use the Ironclad API and other integration tools when native connectors do not meet business requirements. - Build reliable integrations with appropriate monitoring, error handling, retries, and operational visibility. - Identify opportunities to automate manual workflows across Legal and other business functions. Build Reporting and Operational Visibility - Develop contract and SLA dashboards covering turnaround times, backlog, contract value, renewals, and expirations. - Improve data quality and consistency across connected business systems. - Build reporting that gives Legal and business teams clear visibility into workflow performance and operational priorities. - Partner with stakeholders to ensure systems data can support day-to-day decision-making. Own Release and Change Management - Run a disciplined release process across business systems, including testing, owner sign-off, scheduled releases, and release notes. - Coordinate system changes across stakeholders to minimize disruption and maintain reliability. - Establish repeatable standards for testing, deployment, and documentation as systems become more complex. Build Secure AI Connections - Build secure AI connections to Ironclad and other business systems. - Partner with Legal and technical stakeholders to identify practical ways to use AI and automation across business workflows. - Ensure AI-enabled integrations appropriately account for access controls, confidentiality, and system permissions. Requirements: - 5+ years of experience in Legal Systems or a similar technical operations role. - 5+ years of experience building in Ironclad - Proficiency with Python or JavaScript/TypeScript, SQL, REST APIs, webhooks, and OAuth. - Demonstrated experience building reliable integrations with monitoring, error handling, and retry logic. - Familiarity with contracts and sound judgment when handling confidential and sensitive information. - Strong ownership and the ability to work independently in a fast-moving startup environment. - Strong cross-functional communication skills and the ability to work effectively with Legal, Finance, Sales, and technical teams. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role based in the United States, with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Tableau Developer, People Analytics (6-Month Contract) Remote (Preference for CST) About the Team At PlayStation, we're not just building the Best Place to Play — we're also building the Best Place to Work. The People Analytics team within Sony Interactive Entertainment's (SIE) People & Places organization partners with leaders across the business to transform people data into meaningful insights and smarter decisions. We're a small but mighty team passionate about making data more accessible, actionable, and engaging for the people who use it. We're currently on a mission to level up our entire portfolio of People Analytics dashboards — reimagining how we visualize workforce and workplace data, expanding access to insights, and empowering more leaders to make informed decisions through intuitive, self-service analytics. We're looking for an experienced Tableau Developer to join us on a 6-month contract and help bring this vision to life. About the Role As a Tableau Developer on the People Analytics team, you'll play a critical role in modernizing our dashboard portfolio, combining exceptional data visualization skills with the technical expertise needed to make people data more accessible without compromising security. You'll focus on two key priorities: Dashboard Modernization: Transform existing Tableau dashboards into visually compelling, intuitive, and high-impact analytical products. Improve aesthetics, functionality, usability, and content to help our stakeholders find the insights they need and understand what actions to take. Expanded Access & Row-Level Security: Design and implement scalable row-level security solutions within Tableau, enabling us to safely expand dashboard access to new audiences while ensuring users see only the employee data they're authorized to access. This is a hands-on role for someone who loves building exceptional data products, enjoys solving technical challenges, and takes pride in creating solutions that people genuinely want to use. What You'll Be Doing Dashboard Design & Development Lead the redesign, development, and enhancement of existing Tableau dashboards, incorporating modern data visualization best practices, intuitive navigation, and engaging user experiences. Partner with People Analytics team members and stakeholders to understand business questions, identify opportunities for improvement, and translate requirements into effective dashboard solutions. Optimize dashboard performance, usability, and maintainability, ensuring solutions are scalable and deliver a seamless user experience. Incorporate user feedback into iterative improvements, balancing visual appeal, analytical accuracy, and practical business needs. Build dashboards that empower stakeholders to independently explore data, answer business questions, and make informed decisions. Row-Level Security & Data Access Design, implement, test, and maintain robust row-level security (RLS) solutions within Tableau to support expanded access to sensitive employee data. Develop scalable security models that dynamically restrict data visibility based on user identity, organizational hierarchy, role, or other defined access permissions. Collaborate with People Analytics and relevant technology/security partners to ensure security implementations align with organizational data governance and privacy requirements. Validate security configurations through comprehensive testing, including different user roles, access scenarios, and organizational changes. Document security architecture, configuration, and maintenance procedures to enable reliable ongoing administration by the People Analytics team. Data Integration & Technical Excellence Develop and optimize Tableau data sources, connections, and underlying data models, primarily leveraging Snowflake. Write and optimize SQL queries to extract, transform, and prepare data for dashboard development. Troubleshoot data quality, performance, and integration issues across dashboards and underlying data sources. Identify opportunities to simplify, automate, and standardize dashboard development and maintenance processes. Collaborate with team members to ensure knowledge transfer, thorough documentation, and sustainable solutions beyond the contract period. What We're Looking For Required Qualifications Significant hands-on experience developing, deploying, and maintaining complex Tableau dashboards in a professional environment. Advanced Tableau expertise , including dashboard design, calculated fields, parameters, filters, actions, data modeling, performance optimization, and visualization best practices. Demonstrated experience designing, implementing, and maintaining row-level security in Tableau , including user-based access controls, entitlement/security mapping, and dynamic data filtering. Strong understanding of Tableau's security architecture and how permissions, data sources, and row-level security interact. Proficiency working with relational databases and querying data using SQL or comparable technologies. Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical challenges independently. Experience translating business requirements into intuitive, high-quality analytical products. Excellent attention to detail, particularly when working with sensitive or confidential information. Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders. Ability to independently manage priorities, deliver high-quality work within defined timelines, and document solutions for long-term sustainability. Preferred Qualifications Bachelor’s degree or equivalent Experience with Snowflake , including querying, data modeling, and optimizing Tableau connections to Snowflake datasets. Experience with Alteryx or similar ETL/data preparation tools for automating data transformation and integration workflows. Experience working with HRIS or People Analytics data, particularly employee records, organizational hierarchies, and workforce metrics. Familiarity with enterprise Tableau environments, including Tableau Server or Tableau Cloud administration, permissions, and governance. Experience implementing dynamic row-level security based on organizational hierarchies or complex business rules. Experience modernizing existing dashboard portfolios, including establishing reusable design patterns and development standards. Familiarity with Workday or other enterprise HR systems. Who You Are Design-minded: You believe a great dashboard should be as intuitive and engaging as it is analytically rigorous. Technically curious: You enjoy untangling complex data and security challenges and finding elegant, scalable solutions. Impact-driven: You care about more than delivering a dashboard — you want to know whether people use it and whether it helps them make better decisions. Collaborative: You're an approachable partner who welcomes feedback, shares knowledge, and helps others succeed. Detail-oriented: You understand that accuracy, privacy, and security are non-negotiable when working with people data. Pragmatic and adaptable: You balance innovation with practical execution, recognizing that delivering sustainable improvements matters more than chasing perfection. The Impact You'll Make By the end of this 6-month engagement, you'll have helped transform how leaders across PlayStation access and interact with workforce insights. Your work will contribute to a modernized, more intuitive dashboard portfolio, a scalable foundation for secure access to people data, and a more self-sufficient People Analytics team equipped to maintain and expand these capabilities into the future. Most importantly, you'll help us turn people data into better decisions — and better experiences for the people who make PlayStation extraordinary. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below, this is an hourly rate. $73 — $109 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.