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Location: Amsterdam, Netherlands 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). 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: Warsaw, Poland 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Madrid, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). 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: Berlin, Germany 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). 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: Tel Aviv Office Workplace: OnSite The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. We are building the data platform https://blog.chainalysis.com/reports/series-f/ for blockchain, cryptocurrency, and web3. Our engineers deeply understand what is possible with cloud-native technologies and use those insights to enable our customers to push the boundaries of the cryptocurrency landscape. Our Alterya team is focused on AI-powered fintech and threat intelligence, empowering institutions to protect individuals from fraud transactions. As a Data Analyst & Prompt Engineer, you will be responsible for designing and optimizing prompts for LLM models to efficiently extract the data the team needs. We are looking for someone who thinks outside the box and enjoys solving complex problems with simple, elegant solutions. You are naturally curious, highly independent, and a self-learner who is always exploring new ideas and expanding your knowledge. The role will be based in Tel Aviv, and we are looking for eager, enthusiastic, curious, hard working and positive people to be part of our amazing journey. In this job, you'll: - Research the web to find and define types of scams and scammers - Build LMM prompts and data flows - Analyze and monitor our data pipelines using SQL - Research scam activity patterns - Solve complex problems in ambiguous and evolving domains. - Become the team's subject matter expert, serving as the go-to source of knowledge in your field. We’re looking for candidates who have: - 2+ years’ experience as a fraud prevention / threat hunter / scam researcher - Network knowledge - CTF experience - not mandatory - Hustle mind - Dark web experience - not mandatory - Deep knowledge in social media - Familiar with SQL skills with experience in querying large, complex data sets - Experience with AI - Fluent English (written & verbal) - Good interpersonal communication skills - Quick grasp of new data and data systems Technologies we use: - Python - SQL - AI models AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Milano, Italy 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 As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures). Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross-functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive-level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast-evolving, early-stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy-preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products. What You’ll Do Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios. Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines. Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets. Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value. Design and execute pricing experiments Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy. Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction. Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives. Define KPIs and dashboards that measure pricing performance and identify optimization opportunities. Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization. Skills We’re Looking For 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design Strong attention to detail and data analysis skills – including interpreting results and recommending actions Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease Strong communication and presentation skills with ability to influence at the executive level #LI-DJ1 #LI-Remote The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $209,378 — $261,723 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Technical Operations Support (TOS) Analyst HYBRID: Aliso Viejo, CA Contract, 12 months As part of Sony Interactive Entertainment, GDFT is helping lead the cloud gaming revolution, delivering console-quality gaming experiences across televisions, consoles, mobile devices, and beyond. The Technical Operations Support (TOS) team is a critical component of the operational foundation that enables GDFT to support a global cloud gaming platform at scale. The team provides frontline operational support for infrastructure, services, and internal processes that help ensure reliable delivery of world-class streaming experiences to players around the world. As a Technical Operations Support Analyst, you will serve as a key operational partner responsible for handling support requests, maintaining operational processes, documenting procedures, and helping improve the efficiency of day-to-day operations. You will work closely with technical operations, engineering, and global support teams while developing foundational skills in cloud and datacenter infrastructure, operational support, troubleshooting, and process improvement. Key Responsibilities: Operational Support Acknowledge, triage, and resolve support requests by following established Standard Operating Procedures (SOPs). Perform routine operational tasks and maintenance activities while meeting service level agreement (SLA) commitments. Escalate issues appropriately when incidents or requests fall outside established support procedures. Support day-to-day operational activities required to maintain platform stability and service availability. Monitor operational queues and ensure timely resolution of assigned work. Documentation & Process Management Create, update, and maintain SOPs, knowledge base articles, and operational documentation. Ensure documentation follows team standards and remains accurate and up to date. Contribute to process standardization efforts that improve consistency across operational activities. Continuous Improvement Identify recurring issues, repetitive tasks, and operational inefficiencies. Provide feedback and recommendations for automation opportunities. Partner with technical teams to improve workflows, tooling, and operational processes. Contribute ideas that help reduce manual effort and improve team productivity. Collaboration Work closely with team leads, engineers, and global operational teams to support business objectives. Participate in operational reviews, process improvement initiatives, and cross-functional projects. Communicate clearly regarding ticket status, operational risks, and support activities. Required Technical Experience (MUST) 1–3 years of experience in Information Technology, Technical Support, Operations Support, or a related field. Foundational understanding of computer systems, operating systems, networking concepts, and troubleshooting methodologies. Experience working with ticketing systems, service request management, or operational support processes. Ability to follow documented procedures while maintaining attention to detail and accuracy. Communication & Collaboration (MUST) Strong written and verbal communication skills. Strong organizational skills and attention to detail. Ability to collaborate effectively within a team environment. Demonstrated commitment to learning and professional growth. Work Style (MUST) Strong sense of ownership and accountability for assigned work. Ability to manage multiple priorities in a structured environment. Willingness to work flexible schedules, including evenings, weekends, and holidays, as business needs require. Preferred Qualifications (WANT) Experience with Linux operating systems and command-line tools. Experience troubleshooting hardware, software, or infrastructure-related issues. Familiarity with Jira, Confluence, ServiceNow, or similar ticketing and documentation platforms. Exposure to cloud computing platforms such as AWS or Google Cloud. Experience supporting operational environments that require adherence to SLAs. Basic scripting experience using PowerShell, Bash, Python, or similar technologies. Coursework, certifications, or training in Information Technology, Computer Science, Networking, or related disciplines. Familiarity with monitoring, alerting, or observability tools. Experience participating in process improvement or operational efficiency initiatives. Candidate Profile - we are looking for someone who: Takes ownership of problems and follows through to resolution. Demonstrates curiosity and a desire to continuously learn new technologies and operational practices. Approaches work with discipline, consistency, and attention to detail. Communicates clearly and professionally with teammates and stakeholders. Enjoys identifying opportunities to improve processes and reduce repetitive work. Works effectively in a fast-paced operational environment. Maintains a positive, team-oriented attitude while handling competing priorities. Success in This Role Consistently meet operational support and SLA expectations. Maintain accurate and high-quality operational documentation. Develop strong troubleshooting and operational support skills. Identify opportunities to improve operational efficiency. Build foundational knowledge of infrastructure, cloud operations, and large-scale service environments. Become trusted operational partners to engineering and support teams. Why Join Us This role provides a unique opportunity to gain hands-on experience supporting a global cloud gaming platform while developing technical and operational skills that can serve as a foundation for future growth in Technical Operations, Cloud Operations, Infrastructure Engineering, or Site Reliability Engineering. You will work alongside experienced professionals, contribute to critical operational processes, and help support the technology that powers gaming experiences for players around the world. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on the Duo Chat team, focused on Chat Engine, you'll build the core AI capabilities behind GitLab Duo Chat, the natural-language and agentic interface to the GitLab DevSecOps platform. Much of your work will involve building flow components and agentic flows in the Flow Registry, the Python framework built on LangGraph within our Duo Workflow Service that powers agentic chat, and integrating them with the GitLab Rails monolith. You'll own complex backend features from start to finish across both services. You'll integrate large language models and orchestrate multi-agent flows so customers can work faster and more securely across the software development lifecycle. This work sits where GitLab's core platform meets its AI strategy, and reliability, performance, and answer quality directly shape the customer experience. What you’ll do Design and build flow components and agentic flows in the Flow Registry using Python and LangGraph within the Duo Workflow Service. These reusable building blocks power agentic Duo Chat and, increasingly, other AI features across GitLab. Develop, ship, and maintain backend features for GitLab Duo Chat across the Python Duo Workflow Service and the GitLab Rails monolith in a secure, well-tested, and performant way. Integrate new generative AI models, providers, tools, and multi-agent orchestration patterns into Duo Chat to expand its capabilities and improve answer quality. Design, implement, and review GraphQL and Representational State Transfer (REST) application programming interfaces (APIs) and related monolith logic, including chat entry points, permissions, and foundational-flow registration. Keep contracts with frontend clients and host systems reliable and clear. Improve debugging, observability, and test coverage using pytest, RSpec, and related frameworks; track and improve latency, error rates, and test coverage so AI-powered chat workflows stay reliable at scale. Collaborate with Product, User Experience (UX), frontend, and AI specialists to refine requirements and deliver high-quality improvements through iteration. Document standards, patterns, and learnings with other engineers, raising the bar for safe AI integration and evidence-driven engineering. Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and strengthen resiliency. What you’ll bring Significant experience building and maintaining production Python backends, including APIs, data models, and asynchronous or long-running workloads. Practical experience designing and shipping AI-powered, agentic backend features, including large language model integration, tool or function calling, and multi-agent orchestration. You use sound judgment about large language model limitations and safe use in production. Working proficiency in Ruby on Rails, or a strong willingness to learn it. Duo Chat integrates deeply with the GitLab monolith for chat entry points, GraphQL, permissions, and flow registration, and most of GitLab's codebase is written in Ruby. Proficiency designing or extending REST or GraphQL APIs with attention to scalability, maintainability, and backward compatibility. Strong Structured Query Language (SQL) skills and familiarity with relational databases such as PostgreSQL, including efficient queries and data modeling. Ability to find, diagnose, and prevent performance and reliability problems at scale. Experience solving technical problems of high scope and complexity and advocating for quality, security, and performance improvements across your team. Openness to learning and collaborating in an async-first, distributed team, applying transferable skills from related technologies or domains. Hands-on experience with agent frameworks such as LangGraph or LangChain is a strong plus. About the team We're part of GitLab's AI Engineering organization and own the AI-powered chat experience embedded across the GitLab platform. Chat Engine is the backend-focused team within the Duo Chat group. We're backend, frontend, and AI specialists working asynchronously across time zones, using issues, merge requests, and documentation as our main collaboration tools. Our focus is to expand generative and agentic AI capabilities, improve the performance and reliability of chat workflows, and strengthen the debugging and testing foundations that let us run AI features safely at scale. For more on how we work, see the team handbook page. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for an IT Security Engineer to own and strengthen the security of our corporate technology environment. This is a hands-on role spanning identity and access management, endpoint security, SaaS security, Zero Trust, security automation, and incident response. You’ll work closely with Security, IT, Engineering, and business teams to build secure, scalable systems and automate the controls that protect our people, devices, applications, and data.   WHAT YOU’LL DO IDENTITY & ACCESS MANAGEMENT - Own and strengthen identity and access controls across our corporate environment, with a focus on Microsoft Entra ID. - Implement and maintain SSO/SAML, SCIM provisioning, MFA, Conditional Access, and RBAC. - Build and improve automated joiner, mover, and leaver (JML) workflows. - Regularly review permissions, privileged access, and authentication policies to reduce unnecessary access and security risk. - Help establish identity as the foundation of our Zero Trust security model. ENDPOINT SECURITY - Manage and improve endpoint security through Microsoft Intune/MDM, device compliance policies, and endpoint protection tooling. - Deploy and maintain EDR capabilities across the corporate fleet. - Establish and enforce security baselines for employee devices. - Investigate endpoint security events and remediate compromised or non-compliant devices. SAAS & CORPORATE APPLICATION SECURITY - Assess and improve the security posture of corporate SaaS applications. - Partner with application owners to implement appropriate authentication, authorization, provisioning, and data-access controls. - Identify shadow IT, excessive permissions, insecure configurations, and other SaaS-related risks. - Help establish scalable security standards for onboarding and managing new corporate applications. ZERO TRUST & CORPORATE ACCESS - Design and implement Zero Trust principles across identity, endpoints, applications, and corporate access. - Strengthen controls around privileged access, remote access, and access to sensitive systems. - Apply practical security controls that balance strong protection with employee productivity. SECURITY AUTOMATION - Automate repetitive security and IT workflows using scripts, APIs, and integrations. - Build tooling to automate access reviews, provisioning, compliance checks, alert enrichment, remediation, and other security processes. - Use scripting languages such as Python or JavaScript to improve security operations and reduce manual work. - Look for opportunities to turn manual security processes into scalable, reliable systems. DETECTION & INCIDENT RESPONSE - Monitor and investigate security alerts across identity, endpoint, and corporate systems. - Perform initial investigation and triage of suspicious activity and potential security incidents. - Support incident containment, remediation, and post-incident improvements. - Build lightweight detections and alerts for meaningful risks within the corporate environment. WHAT WE’RE LOOKING FOR - Strong hands-on experience with identity and access management, ideally within Microsoft Entra ID. - Experience implementing or managing SSO/SAML, SCIM, MFA, Conditional Access, RBAC, and JML workflows. - Experience with MDM and endpoint security, ideally Microsoft Intune and modern EDR tooling. - Understanding of SaaS and corporate application security. - Experience implementing or operating within a Zero Trust security model. - Ability to automate workflows using scripts and APIs, with experience in a language such as Python or JavaScript. - Working knowledge of security detection, investigation, and incident response. - Strong security judgment — you can distinguish theoretical risk from meaningful business risk and prioritize accordingly. - Comfortable operating independently in a fast-moving startup environment where priorities can change quickly. - Builder mindset: you look for ways to automate, simplify, and improve systems rather than relying on manual processes. NICE TO HAVE - Experience with reverse engineering, CTFs, security competitions, or similar hands-on security challenges. - Strong understanding of networking fundamentals, including VPNs, network segmentation, authentication protocols, and common lateral-movement techniques. - Experience securing rapidly scaling or highly technical organizations. - Experience working closely with engineering or product security teams. - Familiarity with cloud security concepts and modern security monitoring tools. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Forward Deployed Engineer, Agentic SDLC An overview of this role GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. Why this role exists Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. What you’ll do Product contribution Contribute production-quality code to GitLab’s product and adjacent systems. Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. Strategic technical stewardship Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI adoption and agentic software development lifecycle Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. Thought leadership Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. What you’ll bring Staff-level experience building, operating, or improving complex production software systems. Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. The ability to coordinate across product, engineering, field, and customer teams without formal authority. Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. Strongly preferred qualifications Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. Experience working in open source or highly asynchronous engineering environments. Technologies and domains Directly relevant technologies and domains include: Go, Rust or Python AI Engineering and Agentic SDLC PostgreSQL Redis and Sidekiq Git internals GitLab CI/CD and Runner architecture Kubernetes and containers Terraform Linux, networking, observability, and performance analysis Vue and TypeScript APIs and automation DevSecOps governance, security, and compliance Ruby on Rails What this role is not This role isn't: A generic field engineering role. A proof-of-concept factory. A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. A customer-specific customization function. Unbilled Professional Services. A requirements-gathering role that only escalates to Product. An AI evangelism role disconnected from product execution. Success measures Success in this role may include: Stabilizing strategic customer adoption or retention risks. Fixing product bugs or contributing features. Removing AI adoption blockers for strategic accounts. Creating reusable implementation patterns and transitioning them to long-term owners. Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. About the team The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. Ideal candidate profile You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $220,000 — $270,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Data Scientist, Product Usage & Value Lens (SBG / PBG Finance Partnership) At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Our Player Value Science team turns understanding of value mechanics into incrementality: we explain what drives value, where it is created or missed, and what to change, so growth can be created and protected. As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence high-stakes commercial and portfolio decisions at scale. Working closely with stakeholders across Finance, Strategy and Platform, you will work on complex and often ambiguous problems with a high degree of autonomy to shape how data informs strategy and investment decisions through a deeper understanding of player behaviour, product usage, and long-term value. This role combines deep technical expertise with strong commercial judgement. You will own the problem definition and approach, and success will be measured not only by the quality of your work, but by the adoption and impact on business outcomes. What You'll Do Design and deliver advanced modelling approaches that quantify player value, incremental impact, and long-term platform value, applying techniques such as causal inference, forecasting, optimization and machine learning where appropriate. Measure the incremental effect of launches, investments, and external market events, isolating true impact from what would have happened anyway, and translating that into an actionable understanding of where value is created. Build optimization and scenario models that inform long-range planning and investment decisions under real-world constraints. Own ambiguous problem spaces,  and break down complex business challenges into tractable, measurable solutions. Partner closely with cross-functional teams across Finance, Strategy and Platform to ensure value-driving products are robust, trusted and adopted, helping stakeholders understand how to recognise and attribute impact. Evaluate and select modelling approaches based on problem context, balancing rigour, performance, scalability, interpretability, and business impact. Mentor other data scientists and contribute to best practices across the team. Communicate complex modelling approaches, assumptions and outcomes clearly to technical and non-technical audiences, including Finance leadership. What We're Looking For You combine technical depth with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on ambiguous, high-value problems, using data to deepen PlayStation's understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth. Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning. Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly. Strong grounding in causal inference and impact measurement, with the judgement to critically assess assumptions, recognise when correlation is not enough and select approaches that are proportionate to the problem being solved. Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption. Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions. Exceptional stakeholder management and communication skills, with a track record of influencing commercial or finance partners and communicating results persuasively to both technical and non-technical audiences. Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem; experience with PySpark or equivalent distributed data processing tools. A strong quantitative background, typically a Master's or PhD in operations research, machine learning, statistics, economics, or a related field. Nice to Have Background in gaming, e-commerce, or subscription-based businesses. Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems. Industry experience with experimentation frameworks and causal inference. Expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. Experience working in agile, fast-paced environments At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $167,200 — $250,800 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Costa Mesa, United States ABOUT THE JOB We are looking for a FPGA Verification Engineer to join our rapidly growing team in Costa Mesa, CA . You will own verification of FPGA/SoC designs on AMD (Xilinx) platforms for flight-critical avionics, with a focus on UVM-based methodology and coverage-driven verification. This will require expertise in SystemVerilog, object-oriented programming, and UVM. If you are someone who has supported rapid avionics development, then this role is for you. WHAT YOU’LL DO Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs Develop verification plans with traceability to system and hardware requirements Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks Build functional coverage models and drive code coverage analysis to closure Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs Establish and maintain regression suites, tracking coverage metrics and verification progress Debug failures using waveform tools and simulation logs at the HDL and system level Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement Support hardware validation and board bring-up on target platforms Ensure verification meets DO-254 and relevant safety standards Author verification closure reports and coverage analysis summaries REQUIRED QUALIFICATIONS Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field 2+ years of experience in FPGA/ASIC verification Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches Object-oriented programming principles Industry simulators (Questa, VCS, Xcelium, or Vivado) Git-based collaborative workflows including code review Linux development environments Strong communication and teamwork skills Eligible to obtain and hold a U.S. Secret security clearance PREFERRED QUALIFICATIONS 5+ years of experience in FPGA/ASIC verification Master’s degree in Electrical Engineering, Computer Engineering, or related field DO-254, avionics verification standards for UAS, and safety-critical verification processes SVUnit or equivalent unit-testing frameworks Formal verification or CDC verification tools Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI Verification automation scripting (Python, Tcl, Makefile) SoC and ARM-based embedded platforms Verification automation, CI/CD integration, and Nix-based build environments

Location: Montreal, Canada Tasks summary: Architecture Concept & Requirements • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into our client’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to our client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, software, deliverables and documentation are version controlled  in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Define SOOH and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions. • Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN. • Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership. • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Remote - United Kingdom Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . About the job The Twilio Presales Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers. This position is needed to deliver the technical win and product fit to our customers across the EMEA region. A Twilio Presales Engineer is an experienced pre-sales engineer who builds customer trust in Twilio’s Customer Engagement Platform, resulting in customer success at our largest, most strategic accounts. The Presales Engineer leads the technical pre-sales relationship, proposes technical architectures, demonstrates the product, anticipates concerns, and provides creative solutions to our customers' most complex communications and customer engagement challenges and needs. Responsibilities In this role as Presales Engineer, you’ll: Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success. Build a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions. Take part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle. Develop subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology. Lead technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges. Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products. Form an understanding of a customers business and help solve problems they’ve identified as well as uncover areas of opportunity. Build trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation Contribute to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Twilio is looking for a Presales Engineer with a strong desire to work in a technical pre-sales role. You will need: Required: At least 3 years in a technical pre-sales role in CPaaS, SaaS or Telecom space Solid understanding and experience of the sales cycle and the role of a pre-sales engineer Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success. An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience. Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous: Backend (Java, C#, Node.js, Python or PHP) Web (JS, React) Experience with designing and consuming REST APIs Desired: Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc) Familiarity with Mobile development, especially for iOS and Android. Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role Experience with automation, cloud-native development and skills with a major cloud platform. Experience with sales methodologies Location This role will be remotely based in the UK or Ireland We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.