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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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales protection for the 99% . We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years. Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human. Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly. Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start. Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps. Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all. Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken. Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust. Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly. Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope. Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike. Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have. What You Bring To The Team: 15+ years of experience developing complex software products, including significant time as the technical lead on production systems Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint and identity telemetry and with attacker tradecraft Experience attacking or adversarially testing ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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: 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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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: Barcelona, Spain; 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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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: London, United Kingdom 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 users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to financial institutions across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with banks, insurance companies, and financial research institutions. You'll leverage your consultative sales expertise in the financial services sector to propel revenue growth while becoming a trusted partner to financial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the financial services sector. Navigate complex financial institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to financial services procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze financial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within financial departments, research centers, and administrative offices. Collaborate cross-functionally to differentiate our offerings for financial applications Navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from financial users and conveying financial market needs. Provide insights that strengthen our value proposition for financial services Continuously refine the financial services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 12+ years of B2B sales experience in financial services technology in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within financial institutions and securing strategic deals by understanding both technical requirements and financial use cases Demonstrated ability to navigate financial bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within financial services procurement frameworks and policies Proven experience exceeding revenue targets in the financial services sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various financial audiences, from analysts and researchers to senior executives Deep understanding of financial services buying cycles, decision-making processes, and key pain points A strategic, analytical approach to assessing the financial services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in financial services. You feel strongly about ensuring frontier AI systems are developed safely and ethically for financial use À propos du poste En tant qu'Enterprise Account Executive chez Anthropic, vous rejoindrez l'équipe fondatrice chargée de faire découvrir notre API de productivité IA de pointe et nos solutions SaaS aux institutions financières des marchés EMEA. Vous favoriserez l'adoption d'une IA de pointe et sûre en concluant des contrats stratégiques avec des banques, des compagnies d'assurance et des instituts de recherche financière. Vous mettrez à profit votre expertise de la vente consultative dans les services financiers pour accélérer la croissance du chiffre d'affaires. Vous nouerez aussi des relations de confiance avec les parties prenantes du secteur financier et les aiderez à intégrer et à déployer l'IA, tout en leur faisant découvrir l'étendue de ses capacités dans la banque, la recherche et l'administration. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez en continu notre proposition de valeur, notre méthodologie de vente et notre positionnement, afin qu'ils trouvent un écho auprès des instances décisionnelles du secteur financier. Le profil idéal a à cœur de développer de nouveaux segments de marché, de repérer les opportunités à fort potentiel et de mettre en œuvre les stratégies qui permettent de les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en contribuant au développement éthique de l'IA. Responsabilités : Remporter de nouveaux contrats et générer du chiffre d'affaires pour Anthropic dans le secteur des services financiers. Vous orienter au sein d'institutions financières complexes pour atteindre les personnes décisionnaires clés, leur présenter nos services et les aider à réussir avec Anthropic. Vous piloterez l'intégralité du cycle de vente, de la première prise de contact à la signature. Concevoir et mettre en œuvre des stratégies commerciales innovantes, adaptées aux cycles d'achat et aux processus budgétaires des services financiers, afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser le paysage, les tendances et les dynamiques des marchés financiers pour traduire les plans stratégiques en actions et campagnes commerciales ciblées. Piloter l'expansion sur le marché en identifiant de nouveaux cas d'usage au sein des directions financières, des centres de recherche et des services administratifs. Collaborer de manière transverse pour différencier nos offres destinées aux applications financières. Naviguer dans des écosystèmes complexes de parties prenantes (direction générale, services administratifs, DSI et services achats) afin de construire un consensus. Contribuer à la feuille de route et aux fonctionnalités produit en recueillant les retours des équipes utilisatrices du secteur financier et en relayant les besoins du marché. Apporter des éclairages qui renforcent notre proposition de valeur pour les services financiers. Affiner en continu la méthodologie de vente dédiée aux services financiers en intégrant les enseignements dans des playbooks, des modèles et des bonnes pratiques. Identifier des améliorations de processus qui optimisent la productivité et la cohérence commerciales. Ce poste pourrait vous correspondre si vous avez : Au moins 12 ans d'expérience en vente B2B dans les technologies pour les services financiers (SaaS, solutions API ou technologies émergentes) Une solide expérience de la gestion de cycles de vente complexes au sein d'institutions financières et de la conclusion de contrats stratégiques, fondée sur une compréhension fine des exigences techniques comme des cas d'usage financiers Une capacité avérée à naviguer dans les structures bureaucratiques et les processus d'achat du secteur financier, en construisant un consensus entre des parties prenantes variées, dont la direction, les services administratifs et les DSI Une vaste expérience de la négociation d'accords complexes dans le cadre des politiques et procédures d'achat des services financiers Une expérience confirmée du dépassement des objectifs de chiffre d'affaires dans les services financiers, grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution D'excellentes compétences en communication et l'aisance nécessaire pour présenter devant des publics financiers variés, des analystes et des équipes de recherche jusqu'aux membres de la direction Une connaissance approfondie des cycles d'achat, des processus de décision et des principales problématiques du secteur des services financiers Une approche stratégique et analytique du marché des services financiers, alliée à une exécution tactique et créative pour saisir les opportunités Un intérêt marqué pour les systèmes d'IA avancés et leurs applications dans les services financiers, voire une expérience dans ce domaine. Le développement sûr et éthique des systèmes d'IA de pointe pour les usages financiers vous tient particulièrement à cœur. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance This is a full-time remote role based in Brazil or Colombia. About the role Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale. This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities. What you'll do Data Quality Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages Surface and characterize quality issues in ways that engineering and product can act on Sensitive data compliance (PII / PHI / CII / financial) Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful Run these algorithms over large volumes of data to prepare it for downstream agentic task building Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure What we're looking for About 4 to 5 years of hands-on machine learning experience, with ML as your primary background Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual Comfort with ambiguity and a fast-moving environment A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise Nice to have Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries Startup experience Auditing LLM or VLM outputs Synthetic sensitive-data generation (PII, PHI, company and financial records) Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration Experience handling multi-tenant enterprise data with strict customer confidentiality requirements Compliance reporting or working with auditors Why this role matters Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: 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. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! 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 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: San Francisco; Boston; Seattle; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! SENIOR ACCOUNT EXECUTIVE - TECHNOLOGY Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000, large enterprises within the Technology sector. We're looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere's platform can help them achieve their business goals. You'll lay the foundation for Cohere's growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture. You'll be the voice of the field and help our product and engineering teams prioritize the Cohere roadmap with customer-centric care. It's a highly self-directed role, so you should be someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you'll help us reach it. As an Account Executive focused on the Technology sector you will: - Focus on net-new logo acquisition via outbound activity and relationship building with key stakeholders while also bringing a strong network of key decision-maker and influencer contacts and relationships in the vertical to accelerate engagements, drive strategic partnerships and win sales opportunities - Work closely with customers and prospects as a consultative, trusted advisor who deeply understands their challenges and goals, their technology ecosystem, and will tailor solutions to drive measurable impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with product and engineering teams as well as customer success on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept, deal close, and deployment; this is not a transactional sale that you can walk away from after the contract is signed but rather requires ongoing oversight of the project to ensure success You may be a good fit if you have: - 8-12+ years of previous B2B sales experience with Global 2000, large enterprises in the Technology sector, negotiating and closing transformational multi-year (2-5 year) SaaS deals in the 7 figure range, and a track record of high performance and exceeding quota - Previous experience as a technical consultative salesperson, selling complex products, such as developer tools, API products, or AI / NLP solutions, are a plus, with a focus on applications in the Financial Services sector - Previous experience working with customers during the deployment phase of the engagement, aligning on how best to configure and customize the solution that supports success in production and builds trust to set up for expansion and growth - Previous experience working with channel partners such as cloud hyperscalers and system integrators to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales hire, you'll have to be a self-starter, doer and a strategist who is capable of wearing many hats and doing what it takes to figure out a path to success - Curiosity - you want to go deep on NLP and become an expert on our technology while considering how to fit into a large organization's technology landscape with a focus on its applications in the Financial Services sectors - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the c-suite, and feel comfortable speaking to both technical and non-technical audiences in the Financial Services sector Additional Requirements: - Deep understanding of the Technology industry, including key trends, challenges, and opportunities - Ability to articulate the value of AI and NLP solutions in the context of Financial Services operations. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Austin Workplace: Hybrid About the Role We're hiring an SDR (Sales Development Representative) to join our team at Cyberhaven, based in Austin, TX or Mountain View, CA. In this role, you'll play a key part in driving top-of-funnel pipeline for a cutting-edge, highly technical product that's redefining data loss prevention and insider risk. You’ll work closely with our Sales and Marketing teams to identify, engage, and qualify prospects at some of the world’s most innovative companies. What you'll do - Identify and research target accounts and key stakeholders within innovative organizations - Engage prospective customers through thoughtful, strategic outreach via email, phone, and social channels - Qualify inbound and outbound leads for the sales pipeline by understanding prospect needs and uncovering pain points - Collaborate with Sales and Marketing teams to refine messaging and develop effective campaigns - Maintain accurate records and engagement activities in CRM and sales engagement tools - Consistently build and nurture a strong early-stage pipeline Who you are - Have 6+ months of SDR experience at a SaaS company with a highly technical product, cybersecurity experience is a plus - Comfortable learning and speaking to technical concepts, and translating them into clear business value for prospects - Skilled communicator - both written and verbal with the ability to engage technical and non-technical stakeholders alike - Proven experience in B2B sales or business development, with a focus on qualifying complex buying cycles and building early pipeline - Proficient with CRM and sales engagement tools like Salesforce, Outreach, Salesloft, or Sales Navigator (or comparable platforms) - You approach outreach with thoughtfulness and strategy, using personalization to break through the noise and connect with the right buyers - Strong problem-solving skills and the ability to identify customer pain points through research and discovery - A collaborative team player who works well with marketing, sales, and technical teams to deliver a seamless buyer experience - Location in Austin, TX or Mountain View, CA - Hybrid 3 days in office Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building the infrastructure powering the next generation of AI. As we continue to scale as a public company, we are looking for an Investor Relations Associate to join our growing Investor Relations team. Reporting to the Head of Investor Relations, you will support the execution of Nebius’s global investor relations program and help communicate the company’s strategy, financial performance and long-term opportunity to the investment community. This is a highly analytical and cross-functional role with exposure to senior leadership and teams across Finance, Communications, Legal, Strategy, Product, Engineering and Sales. You will help prepare earnings and investor materials, analyze our business and competitive landscape, track investor sentiment and support engagement with current and prospective shareholders. The ideal candidate combines strong financial and analytical skills with intellectual curiosity, excellent communication and an interest in AI, cloud infrastructure and technology markets. Your responsibilities will include: Support quarterly earnings preparation, including business and financial analysis, shareholder letters, earnings presentations, management scripts, Q&A materials and supporting data. Maintain and develop financial and operating models to analyze Nebius’s performance, business drivers and key operating metrics. Conduct competitive and industry analysis across AI infrastructure, cloud computing, semiconductors and adjacent technology markets. Monitor sell-side research, investor feedback, peer company developments, valuation trends and broader market themes relevant to Nebius. Prepare briefing materials for investor meetings, conferences, non-deal roadshows and other investor engagements. Help track investor interactions, shareholder targeting, investor feedback and follow-up actions. Work across Product, Engineering, Sales, Finance and other functions to build a strong understanding of Nebius’s business and translate operating developments into relevant investor insights. Partner with Communications, Finance and Legal to ensure consistent and accurate external messaging. Support development of investor presentations, fact sheets, website materials and other IR communications. Help improve IR processes, data infrastructure and reporting, including identifying opportunities for automation. Develop a deep understanding of Nebius’s investor base, investment thesis and the questions and themes driving investor perception. We expect you to have: 2–4 years of relevant experience in equity research, investment banking, asset management, investor relations, corporate finance or a similarly analytical role. Strong financial analysis and modeling skills and a solid understanding of financial statements and valuation. Interest in technology markets, with a willingness to develop deep knowledge of AI infrastructure, cloud computing and related industries. Ability to synthesize complex financial, business and technical information into clear insights. Excellent written and verbal communication skills. High attention to detail and strong organizational and project-management capabilities. Ability to operate effectively in a fast-moving environment and manage multiple priorities simultaneously. Strong Excel and PowerPoint skills; familiarity with Bloomberg, FactSet, Capital IQ or similar platforms is a plus. Familiarity with public-company reporting, SEC requirements and Regulation FD is beneficial but not required. Willingness to work across time zones and travel periodically for investor events. It will be an added bonus if you have: Experience covering or working with technology, cloud infrastructure, semiconductors, enterprise software or AI-related companies. Experience in equity research or on the buy side. CFA progress or other relevant financial qualification. Experience using data and automation tools to improve analytical workflows. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $89,300 — $111,600 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is becoming the AI layer inside the platforms where enterprises already work. Our partnership with Salesforce — anchored by Claudeforce — is the first and largest example, and a growing roster of strategic technology partners is following the same path: making Claude the front door to their products for millions of users. As Marketing Manager, Tech Partnerships, you will own the ongoing comarketing relationship with these strategic tech partners. You will be the single marketing point of contact for each partner’s marketing organization, build and run the joint marketing plan, manage shared marketing funds, and turn large partnership agreements into pipeline-generating field programs — exec summits at partner flagship events, joint workshops, enablement moments, and co-branded activations around the world. Key responsibilities Own the day-to-day comarketing relationship with strategic tech partners, starting with Salesforce: be the one consistent Anthropic marketing voice your partner counterparts plan with, and keep both sides working from a single joint plan Build joint marketing plans with each partner, with goals and success metrics agreed before any shared funds are committed Manage joint marketing development funds (MDF): allocation across programs, spend tracking, compliance with partnership terms, and reporting on what the investment returned Design and execute flagship joint moments — executive summits and sessions at partner events (e.g., Dreamforce, World Tours), joint customer workshops, partner sales kickoff enablement, and co-hosted executive dinners Extend partner programs through the broader ecosystem, including joint activations with shared systems-integrator and consulting partners Measure what matters: partner-sourced and partner-influenced pipeline, program-level attribution, and a partnership marketing health scorecard built with Marketing Ops Protect the brand: apply comarketing guidelines, run messaging and asset approvals in both directions, and know when to say no to a partner ask Operate as connective tissue across Anthropic: Partner Marketing, Partnerships/Business Development, segment field marketers, Product Marketing, Events, and Comms all touch these relationships. You keep them coordinated and the partner experience coherent Minimum qualifications Ownership of a comarketing relationship with a large strategic partner: a hyperscaler, a major SaaS platform, or an equivalent, including joint planning and MDF management A track record of executive-level field programs: summits, flagship-event activations, C-level dinners, and roadshows, with the pipeline to show for them Strong relationship-building skills: able to earn trust with partner marketing leaders while holding Anthropic's line on brand, messaging, and spend Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts Preferred qualifications 7+ years of B2B marketing experience, with significant time in field, partner, or alliance marketing at a technology company Experience on both sides of a platform partnership (at the platform and at the ISV/partner) Familiarity with the AI ecosystem and how enterprises adopt AI products Experience running programs at global scale across multiple regions and event series Experience working with or marketing through global systems integrators The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing both sides of the security equation, and Anthropic is focused on putting frontier AI capabilities in the hands of defenders. Cybersecurity is a fast-growing area for Anthropic, spanning enterprise security teams that adopt Claude for their own security work and security companies that build their products on our models. The buyers are demanding and data-driven, from CISOs to hands-on practitioners in security engineering, application security, security operations, threat intelligence, and incident response. As Field Marketing Lead, Cybersecurity, you will lead Anthropic's field marketing for the cybersecurity audience around the world, helping position Claude as the trusted AI partner for security teams. You will align closely with the sales organization, develop the marketing strategies and tools the field needs, and partner with Anthropic's cybersecurity experts in product marketing, solutions marketing, and across the business to turn their positioning and messaging into programs and campaigns. You will be the cybersecurity lead that our campaigns and regional field marketing teams draw on, working with customers in every segment and with a focus on expanding within existing accounts. You will make sure that how we show up to CISOs, practitioners, and the buying committee is credible, consistent, and tied to revenue, whether in a global campaign, an executive roundtable, or a flagship industry event. Location: this is a global role, with a preference for candidates based in San Francisco or New York. Key responsibilities Own the global cybersecurity field marketing plan: define how we reach CISOs, practitioners, and the buying committee in every customer segment, the annual program calendar, and the goals and success metrics agreed with sales leadership before budget is committed Align with the sales organization worldwide: agree on target accounts and buying committees, build programs that expand Anthropic's footprint in existing accounts and open new opportunities, and make sure account teams have what they need to invite, follow up, and convert Partner with product marketing, solutions marketing, and Anthropic's cybersecurity experts: build on their positioning, messaging, and enablement, and work with them to turn cyber use cases into the programs and campaigns that build awareness and demand Develop the marketing strategies and tools the field needs: playbooks, program kits, speaker guidance, and event recommendations that let regional field marketers in the Americas, EMEA, and APAC run cybersecurity programs locally without starting from scratch Design and run flagship cybersecurity moments in the field: executive roundtables, CISO dinners, practitioner workshops, and Anthropic's field presence around major industry events such as RSAC, Black Hat, Gartner Security & Risk Management Summit, and Infosecurity Europe, in step with the launch, content, and thought leadership plans led by product and solutions marketing Serve as the cybersecurity field lead for integrated campaigns: bring audience insight, field feedback, and program ideas, and extend global campaigns into regional programs so they land with CISOs, practitioners, and the rest of the buying committee Bring the voice of the security buyer back into Anthropic: share what you hear from customers, analysts, and the field with Product, Sales, and Marketing leadership Measure what matters: sourced and influenced pipeline, expansion within existing accounts, program-level attribution, and a clear read on which programs earn more investment, built with Marketing Ops Protect the brand with a skeptical audience: hold a high bar for technical accuracy, keep the story focused on defenders and responsible deployment, avoid fear-based messaging, and know when to say no to a program that would not earn trust Operate as connective tissue across Anthropic: Sales, Campaigns, regional Field Marketing, Product Marketing, Solutions Marketing, Partner Marketing, Partnerships, Events, and Comms all touch this audience. You keep them coordinated and the customer experience coherent Minimum qualifications Working fluency in the cybersecurity landscape, across areas such as security operations, detection and response, threat intelligence, application security, vulnerability management, cloud security, and governance, risk and compliance, with enough technical depth to hold a credible conversation with both CISOs and hands-on practitioners A track record of partnering with sales teams on pipeline and on expansion within existing accounts, including account-based programs and executive engagement, with results to show for them Experience across both integrated campaigns and field marketing, and the judgment to know which one a given goal calls for Experience operating globally: you have led programs across multiple regions and enabled local teams to run them well Strong influence without authority: able to set direction for campaigns and regional field marketers who do not report to you Comfort building in ambiguity: the playbook for this motion is being written now, and you'll write much of it Rigor on measurement: fluent in pipeline attribution with sales and ops counterparts Experience working alongside product marketing and technical experts, and turning their positioning and messaging into field programs and campaigns Range across customer segments: you can adapt a program for a large enterprise, a mid-size company, and a fast-growing startup Preferred qualifications 8+ years of B2B marketing experience, with significant time in field marketing or demand generation for cybersecurity buyers at a security vendor or an enterprise technology company Hands-on background in security, such as time as a practitioner, sales engineer, or product marketer for a security product Familiarity with the AI ecosystem and how enterprises adopt AI products, including how AI is changing security work for defenders Experience marketing trust-sensitive or dual-use products, where responsible deployment is central to the story Existing relationships in the security community: CISO networks, analysts, industry groups, and event organizers Experience marketing to regulated industries or public sector buyers, where security review shapes the deal Experience working with security technology partners, managed security service providers (MSSPs), or global systems integrators The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom; London Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Account Management Lead you'll lead a team of experienced account managers across the UK&I region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning customer success initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves. - Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums. - Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies. - Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams. Requirements • 10+ years of experience in Account Management or post-sales roles within SaaS, ideally some of this within UK&I accounts. • Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes. • 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact. • Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios. • Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management. • Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment). • Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes. • Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset • Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team. This role is remote-first, so it can be executed from anywhere within UK&I. If you prefer, you can work from our offices in London and Dublin. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.