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Location: Barcelona, 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 We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. 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: 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 We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. 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 We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. 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: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building out its equities and tokenized securities business. This is a post-trade and brokerage systems product role — you will own the layer that sits between our users and the securities markets: order management, execution, settlement, asset servicing and reconciliation. We have strong crypto product and engineering talent. What this role brings is depth in brokerage architecture and securities market structure: how these systems are built, why they are built that way, and what breaks at scale. You will be the internal authority on that, and your judgment will shape decisions that are expensive to reverse. What You’ll Be Doing Own the brokerage core — order management, execution and routing, instrument lifecycle and trading status, settlement and reconciliation. Shape account, custody and clearing architecture , along with the operating model required to run it. Own corporate actions and asset servicing end to end , in both conventional and on-chain form. Define how securities risk and margin frameworks coexist with those of a 24/7 digital asset market. Bring market structure, execution quality and regulatory requirements into product decisions early , before they become blockers. Set the standard for rigour — write PRDs precise enough to build from, and lead alignment across engineering, risk, legal, compliance and treasury. What We Look For In You Domain Depth 5+ years in post-trade or brokerage systems product management. We strongly prefer candidates from internet and licensed brokerages — Futu, Tiger, Interactive Brokers, Robinhood, Webull, Longbridge — as well as clearing firms and brokerage infrastructure providers. Architectural perspective. You have a clear view of where responsibility belongs across the order, execution, clearing, settlement, asset servicing and ledger layers, and of what goes wrong downstream when a boundary is drawn in the wrong place. Depth across the order and execution path. Order types and parameters, state machine design, idempotency across an external execution boundary, cancel/replace and partial-fill semantics, timeout and exception recovery. This is the core craft of the role. End-to-end ownership of at least one area beyond the order path — clearing and settlement, corporate actions and asset servicing, margin and risk, securities lending, or position and cash reconciliation. Commercial and historical perspective. You understand how a brokerage actually earns, how each revenue line constrains the systems beneath it, and why the industry made the structural choices it did. Ways of Working Strong technical intuition. You are comfortable discussing system architecture and data flows with engineers. You do not need to be a developer, but you think with the rigour of one. You design for the exceptions — the halted symbol, the timed-out counterparty, the partial fill, the corporate action mid-flight — not just the order that goes through. You run programs, not just write specs. You produce rigorous PRDs independently, drive alignment across engineering, risk, legal, compliance and treasury, and own the full lifecycle from requirements through post-launch review. You write precisely , and can make complex mechanics legible to technical and non-technical audiences alike. High agency. You are comfortable taking an open question all the way to a shipped, reconciled system, and making calls with incomplete information. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Product experience with margin financing or securities lending. Exposure to tokenized securities, digital asset custody, or on-chain settlement. Experience integrating with broker-dealer or clearing APIs, as either the integrator or the provider. Hands-on experience with multi-jurisdiction regulatory frameworks — SEC/FINRA, MiFID II, or equivalent. A track record of launching a brokerage product in a new market from zero. Fluency in English to support communication with global product and business stakeholders. Genuine curiosity about what happens when securities markets meet 24/7 markets. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity OKX is building out its equities and tokenized securities business. This is a post-trade and brokerage systems product role — you will own the layer that sits between our users and the securities markets: order management, execution, settlement, asset servicing and reconciliation. We have strong crypto product and engineering talent. What this role brings is depth in brokerage architecture and securities market structure: how these systems are built, why they are built that way, and what breaks at scale. You will be the internal authority on that, and your judgment will shape decisions that are expensive to reverse. What You’ll Be Doing Own the brokerage core — order management, execution and routing, instrument lifecycle and trading status, settlement and reconciliation. Shape account, custody and clearing architecture , along with the operating model required to run it. Own corporate actions and asset servicing end to end , in both conventional and on-chain form. Define how securities risk and margin frameworks coexist with those of a 24/7 digital asset market. Bring market structure, execution quality and regulatory requirements into product decisions early , before they become blockers. Set the standard for rigour — write PRDs precise enough to build from, and lead alignment across engineering, risk, legal, compliance and treasury. What We Look For In You Domain Depth 5+ years in post-trade or brokerage systems product management. We strongly prefer candidates from internet and licensed brokerages — Futu, Tiger, Interactive Brokers, Robinhood, Webull, Longbridge — as well as clearing firms and brokerage infrastructure providers. Architectural perspective. You have a clear view of where responsibility belongs across the order, execution, clearing, settlement, asset servicing and ledger layers, and of what goes wrong downstream when a boundary is drawn in the wrong place. Depth across the order and execution path. Order types and parameters, state machine design, idempotency across an external execution boundary, cancel/replace and partial-fill semantics, timeout and exception recovery. This is the core craft of the role. End-to-end ownership of at least one area beyond the order path — clearing and settlement, corporate actions and asset servicing, margin and risk, securities lending, or position and cash reconciliation. Commercial and historical perspective. You understand how a brokerage actually earns, how each revenue line constrains the systems beneath it, and why the industry made the structural choices it did. Ways of Working Strong technical intuition. You are comfortable discussing system architecture and data flows with engineers. You do not need to be a developer, but you think with the rigour of one. You design for the exceptions — the halted symbol, the timed-out counterparty, the partial fill, the corporate action mid-flight — not just the order that goes through. You run programs, not just write specs. You produce rigorous PRDs independently, drive alignment across engineering, risk, legal, compliance and treasury, and own the full lifecycle from requirements through post-launch review. You write precisely , and can make complex mechanics legible to technical and non-technical audiences alike. High agency. You are comfortable taking an open question all the way to a shipped, reconciled system, and making calls with incomplete information. Proficiency in Mandarin is required to communicate effectively with internal engineering and product stakeholders in the China-based R&D center. Nice-To-Haves Product experience with margin financing or securities lending. Exposure to tokenized securities, digital asset custody, or on-chain settlement. Experience integrating with broker-dealer or clearing APIs, as either the integrator or the provider. Hands-on experience with multi-jurisdiction regulatory frameworks — SEC/FINRA, MiFID II, or equivalent. A track record of launching a brokerage product in a new market from zero. Fluency in English to support communication with global product and business stakeholders. Genuine curiosity about what happens when securities markets meet 24/7 markets. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE How we build software is changing. Designers are building tools and agents, prototyping in code, and shipping directly into the product. More people can create software than ever before. That makes design judgment more important, not less. We’re looking for a Design Systems Lead to build that judgment into the foundations of Ramp. This is not just about maintaining a component library. It’s about making it possible for designers, engineers, and agents to build experiences that look, feel, and work like Ramp—without a designer driving every decision or the design systems team reviewing every change. You’re a designer first, with the technical depth to guide architecture and get into the code. You have exceptional taste and strong opinions about typography, hierarchy, interaction, and motion. Just as importantly, you know how to turn that judgment into patterns, tools, and guidance that make everyone else’s work better. You’re deeply curious about AI and already using it to change how you work. You build, experiment, inspect the results, and push past the demo. You can imagine a different way of building software—and lead a team toward it. This role is for you if you’re excited by: - Making great design reproducible. Raise the quality of Ramp’s product and encode what makes it good, so people and agents can produce coherent, usable experiences by default. The system should make excellent work easier, not make every experience look the same. - Reimagining what a design system can be. Build beyond components and tokens into composition, interaction patterns, agent guidance, and evaluations. Connect exploration and production so the fastest way to build is also a path to great quality. - Leading a team that multiplies everyone else’s impact. Create clear direction, ambitious goals, and a caring yet demanding environment. Inspire curiosity, develop people, and stay close enough to the work to help make it exceptional. The opportunity is to raise the floor for everyone building at Ramp, while giving designers more room to make the most important experiences extraordinary. WHAT YOU'LL DO - Lead and develop the design systems team. Set clear priorities, ownership, and goals. Give direct, timely feedback, hold people accountable, and help them do the best work of their careers. - Own the system’s vision and direction. Decide what to preserve, evolve, simplify, or replace based on what builders and customers need. Turn that direction into focused work the team can deliver. - Elevate Ramp’s visual and interaction design. Raise the bar for typography, hierarchy, density, motion, responsive behavior, accessibility, and the states beyond the happy path. - Make design judgment usable by people and agents. Translate principles into reusable patterns, reference experiences, composition rules, and guidance that produce better work without you in the room. - Guide technical architecture with engineering. Shape everything from components and tokens to how agents discover guidance, compose interfaces, and check their work. Make sound tradeoffs between flexibility, coherence, performance, and ease of use. - Stay hands-on. Build prototypes, work in code, and get into implementation details to test ideas, unblock the team, and understand where the system breaks down. - Define and measure quality. Build repeatable evaluations grounded in real tasks. Measure whether builders can ship better work faster, with less rework—not just whether they use the tools. - Improve the path from idea to shipped experience. Partner with engineering and AI teams on workflows that support fast exploration, useful iteration, and appropriate production safeguards. - Earn adoption. Work alongside product teams, listen closely, teach through examples, and turn recurring questions and exceptions into improvements to the system. - Keep the team moving forward. Experiment as models and tools evolve, share what you learn, and change direction when the evidence calls for it. WHAT YOU NEED - Experience leading and developing strong design or design engineering teams, with a track record of setting direction and delivering meaningful outcomes. - Exceptional visual and interaction design skills. Your work shows a clear point of view, attention to detail, and an ability to make complex experiences feel simple. - Deep systems thinking and experience building systems that other teams actually adopt. You can show how your work improved both their speed and the quality of what shipped. - Strong technical fluency. You can prototype and build in code, understand front-end architecture, and work through implementation tradeoffs with engineers—not just hand off specifications. - Active, hands-on use of AI in your design and building workflow. You understand where it helps, where it fails, and how to improve its output rather than accept it. - Experience turning design principles into practical guidance, reusable patterns, and quality checks that work at scale. - Strong product judgment and a habit of staying close to the people using what you build. You connect system decisions to real workflows and customer outcomes. - The ability to create clarity in ambiguity, make decisions, give difficult feedback, and maintain momentum without losing the quality bar. - Curiosity that borders on obsession about how AI changes software and how we build it—and the ability to ignite that curiosity in others. NICE TO HAVES - Experience building agent-usable design guidance, generation workflows, or evaluations for design quality. - Experience building developer or designer tools that became part of other teams’ daily workflow. - Experience leading a major design-system migration or company-wide change in how teams build. - Experience evolving a system across platforms or connecting product and brand experiences. - Founder or early-stage startup experience. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — работа над продуктами Bitfarms Token и NFT Требования: — опыт взаимодействия с кодом, понимание кода — желателен опыт работы в геймдев, веб3, финтехе, гемблинге, беттинге (рассматриваются и другие сферы) Условия: — гибкий график работы — удаленный или офисный формат работы — оплачиваемые отпуска, больничные, сикдеи и дейоффы — зарплата в криптовалюте — бонусы после закрытия испытательного срока

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Location: Bengaluru, India We are looking for a Senior AI Quality Engineer (L3+) with strong Python skills and hands-on experience testing AI and ML systems. You will analyze requirements, define evaluation strategies, build automated checks, validate models and outputs, test APIs and data pipelines, verify defects through resolution, and contribute to release readiness for your assigned product area. You will both evaluate AI systems and design, build, and operate QE agents for the software testing life cycle. AI-assisted work is part of everyday QE practice on this engagement, with Ragas, DeepEval, promptfoo, Cursor, and other AI and ML tools used for evaluation, scripting, test generation, analysis, and maintenance. You will also build golden datasets, calibrate LLM-as-judge methods, test agentic workflows and RAG systems, implement self-healing and intelligent test approaches, and diagnose quality, safety, performance, and cost failures across distributed AI services. This position is intended for Hyderabad-based candidates who are available to work from the office. The client delivers AI agents, retrieval systems, models, and data pipelines across a broad technology landscape. Quality is part of delivery through evaluation gates, automated regression, model and data validation, security and privacy checks, and evidence that a release is ready. Python is the primary language for AI evaluation, model validation, API testing, data-pipeline quality, and QE agent design. The role combines deterministic automation with probabilistic evaluation to assess AI behavior across models, data, retrieval, tools, and integration surfaces, and designs and operates agents that support the software testing life cycle. Analyze requirements and define evaluation strategies, golden datasets, regression benchmarks, baselines, thresholds, and blocking metrics with domain-expert review. Design, build, and orchestrate AI agents, persona-based workflows, and reusable skills for the STLC using LangChain, LangGraph, or Semantic Kernel. Build automated evaluations and benchmarks for LLMs, agents, RAG, retrieval, tool trajectories, and contracts using Ragas, DeepEval, and promptfoo. Calibrate LLM-as-judge against human grading, manage non-determinism through repeated runs, and detect regression and drift. Write and maintain Python and pytest automation for AI, ML, API, data, and integration workflows. Use Cursor and agentic tools to analyze requirements, generate and review tests, and maintain evaluation suites. Validate deep-learning, reinforcement-learning, and predictive models using LangChain. Build AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, and defect triage, plus intelligent test selection and defect prediction. Integrate LLMs, APIs, embeddings, vector databases, retrieval pipelines, and enterprise data sources into QE frameworks using Python. Test REST and streaming APIs, agent tools, and RAG and MCP integrations, including authentication, errors, retries, and recovery. Test data and retrieval pipelines for schema integrity, lineage, idempotency, fallback, promotion gates, and rollback. Integrate evaluations, benchmarks, and agent workflows into QE frameworks and CI/CD on GitHub Actions, review Allure results, and keep TestRail aligned with automated coverage. Test prompt injection, jailbreaks, unsafe tool use, data exfiltration, access control, PII controls, and guardrails. Measure accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnose distributed failures. Implement tracing, monitoring, and production evaluation using Langfuse, LangSmith, or a comparable AI observability platform. Deploy and operate QE agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Deploy and validate AI and ML solutions on AWS or Azure, including secrets, database services, and cloud-native test infrastructure. Report, track, and verify defects in Jira, and work with domain experts, product, and engineering on traceable coverage and untested scope. Contribute to release readiness for the assigned product area without owning sign-off for the whole team. Strong Python proficiency with pytest for test and evaluation automation. Hands-on experience building and orchestrating AI agents and agentic workflows with LangChain, LangGraph, Semantic Kernel, or comparable frameworks. Hands-on experience building AI evaluations and benchmarks with Ragas, DeepEval, promptfoo, or equivalent tools. Hands-on use of Cursor or agentic development tools for test generation and maintenance. Experience defining AI evaluation strategies, golden datasets, regression benchmarks, and LLM-as-judge calibration, including non-determinism and drift. Experience validating deep-learning, reinforcement-learning, and predictive models with LangChain. Experience building AI-assisted STLC workflows for requirements analysis, test design, script generation, execution, self-healing, failure analysis, defect triage, intelligent test selection, and defect prediction. Experience integrating LLMs, APIs, embeddings, vector databases, and retrieval pipelines with automation frameworks in Python. Experience testing REST and streaming APIs, agent tools, RAG workflows, and MCP integrations. Experience testing data and retrieval pipelines for correctness, lineage, and safe promotion. Experience integrating AI evaluation and agent workflows with automation frameworks and CI/CD using GitHub Actions, Allure, TestRail, or equivalent tools. Experience testing AI security, privacy, access control, and guardrails. Experience measuring accuracy, relevance, groundedness, hallucination, retrieval quality, agent reliability, latency, throughput, token use, and cost, and diagnosing distributed failures. Experience with AI tracing, monitoring, and production evaluation using Langfuse, LangSmith, or comparable tools. Familiarity with AWS, Azure, or GCP cloud AI services and agent platforms for deploying and validating AI and ML solutions. Experience deploying and operating agents on Amazon Bedrock AgentCore or a comparable agent platform, with governance and human oversight. Experience managing defects through resolution in Jira or an equivalent tool. Ability to work with domain experts, product, and engineering on ground truth and coverage gaps. Experience contributing to release readiness for an assigned product area. Playwright and TypeScript experience for UI and API automation. Real-device and cross-browser execution using LambdaTest, Sauce Labs, or an equivalent platform. Knowledge of AI-driven test optimization and coverage analytics using SeaLights or an equivalent platform. Experience contributing reusable components to shared automation frameworks and reviewing automation code through Git and GitHub workflows. Experience managing test data and troubleshooting test environments needed for reliable execution. Experience triaging security findings and validating operational readiness, monitoring, rollback, and recovery controls. Experience producing audit-ready evaluation reports and improving shared evaluation patterns, automation libraries, and datasets.

Location: Bengaluru, India We are looking for a hands-on NetSuite QE Senior who can own quality for finance order-to-cash and still write the tests. You will test NetSuite billing and Advanced Revenue Management workflows, build UI and API checks in TypeScript and Playwright with AI-assisted tools and agents, review generated tests, investigate cross-system failures, and provide release-readiness evidence. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client uses Oracle NetSuite as its financial system of record for order-to-cash, billing, revenue recognition, tax, refunds, and membership. Quality Engineering covers ERP regression, financial change, and the integrations connecting commerce and candidate systems to NetSuite. Own quality for an assigned finance order-to-cash area, from requirements analysis and test design through functional execution, in-sprint automation, exploratory testing, defect resolution, and release-readiness input. Validate purchases end to end across storefront or registration flows, integration events, NetSuite billing records, downstream entitlements, and revenue plans. Design and execute coverage for sales orders, cash sales and invoices, payment events, promotions, price exceptions, vouchers, corporate billing, refunds, cancellations, and tax-sensitive scenarios. Test revenue recognition as a multi-stage process, including arrangements, elements, recognition rules and plans, fair-value allocation, carve-out, prospective merges, deferrals, and background-job timing. Write and maintain TypeScript and Playwright tests, using API checks as the default and UI automation for business-critical flows or fields that are not exposed through an API. Use AI-assisted tools and agents across requirements analysis, test design, code authoring, and suite maintenance, and review generated tests for missing coverage, correctness, and domain risk. Design reusable end-to-end scenarios and verification cases, using soft assertions, dynamic product data, and stage-aware revenue-recognition runs that avoid parallel data collisions. Keep test cases, ownership, tags, eligibility, and CI results traceable, and maintain sandbox users, API tokens, and a record of permission-restricted scenarios. Investigate missing or incorrect orders across integration events, APIs, ERP script logs, and downstream systems, then report and verify defects through resolution. Support pre-production regression, finance and tax sign-off, and controlled production smoke testing without using production as a general test environment. Senior-level hands-on Quality Engineering experience across requirements analysis, test design, functional and exploratory testing, defect management, automation, and release readiness. Practical experience testing Oracle NetSuite or a comparable finance ERP, with strong understanding of order-to-cash records and transaction lifecycles. Working knowledge of revenue recognition concepts and the ability to test multi-stage financial processing, allocation, deferrals, refunds, and background jobs. Hands-on TypeScript and Playwright for UI and API automation, including SuiteTalk, REST, or an equivalent ERP API, with the ability to write and explain the tests and judge when a UI check is still required. Experience using AI-assisted tools such as Cursor, GitHub Copilot, or equivalent, including agents, across requirements analysis, test design, code authoring, and suite maintenance, with review of generated tests for missing coverage, correctness, and domain risk. Ability to design reusable verification coverage, apply soft assertions to long transactional flows, and manage test data that must not collide in parallel execution. Experience testing integrated systems and tracing failures through event processing, API responses, application logs, and downstream outcomes. Experience with TestRail or equivalent traceability, CI regression, and Git. Ability to assess financial and revenue risk, separate release blockers from lower-impact defects, and communicate clearly with engineering, product, finance, and tax stakeholders. Experience with NetSuite Advanced Revenue Management, including arrangements, elements, plans, prospective merges, fair-value allocation, carve-out, and formulas used to challenge expected revenue amounts. Experience testing tax, multi-entity, localization, corporate billing, voucher, or price-exception workflows in an ERP. Experience maintaining automated coverage through ERP form-layout or field-placement changes. Familiarity with event-driven commerce integrations, dead-letter queue investigation, or payment and entitlement workflows.

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — развитие клиентского frontend и admin panel — новые фичи end-to-end: от проработки до релиза — работа с React, TypeScript, Node.js — SSR / prerendering / BFF — интеграции с Go-backend — WebSocket / SSE — white-label / multi-theme архитектура — runtime config / design tokens — unit / integration tests — code review Требования: — 3-4+ года коммерческой разработки — сильный React + TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux / Zustand / MobX / аналоги — понимание HTTP / REST, базово SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение читать и ревьюить AI-generated code — AI-native - must-have (использование AI как основного инструмента разработки, умение декомпозировать задачи для агентов, давать контекст, проверять код и архитектуру, отвечать за итоговый результат) Будет плюсом: — white-label / multi-tenant — design systems — Go — fintech / crypto — MCP / AI in CI.

Обязанности: — Принимать и регистрировать обращения от пользователей информационных систем по различным каналам связи ("горячая" телефонная линия, чаты в мессенджерах, почта и система 1С:ITILIUM) — Обрабатывать и маршрутизировать обращения, зарегистрированные в 1С:ITILIUM — Собирать и обрабатывать варианты решений обращений для пополнения и актуализации Базы Знаний, расположенной на портале Confluence — Регистрировать проблемы в 1С:ITILIUM для системного решения массовых и повторяющихся инцидентов — Писать инструкции по использованию и/или администрированию информационных систем — Ежедневно, в конце рабочего, дня составлять отчеты о выполненных работах с отражением трудозатрат с помощью систем 1С:ITILIUM и 1С:Документооборот — Выполнять обращения на выпуск квалифицированных электронных подписей (КЭП) (оформлять и выпускать КЭП для сотрудников Холдинга) — Работать с аккредитованными удостоверяющими центрами (УЦ): формировать заявления, доверенности и иные документы, передавать данные, получать и устанавливать ЭП — Настраивать рабочие места пользователей для работы с ЭП (устанавливать СКЗИ, сертификаты, плагины) — Выпускать и управлять машиночитаемыми доверенностями (МЧД): формировать, регистрировать, обновлять и аннулировать их — Вести реестр выданных ЭП и МЧД, контролировать сроки действия сертификатов — Консультировать сотрудников Холдинга по вопросам использования ЭП и МЧД, решать технические проблемы — Взаимодействовать с государственными информационными системами (ФНС, СФР, Росстат и др.) по вопросам применения ЭП и МЧД — Обеспечивать соблюдение требований информационной безопасности при работе с ключами ЭП и доверенностями — Предоставлять доступы к сервисам ЭДО (администрировать пользователей) — Настраивать «Матрицу подписания входящего ЭДО» в 1С УПП — Настраивать ЭДО/EDI с контрагентами (отправка приглашений, настройка отправки подтверждения заказа, отгрузки) Требования: — Наличие профессионального образования и релевантного опыта от 1-го года — Знание компьютера на уровне администратора — Знание платформы 1С.8 и ее механизмов на уровне администратора — Опыт работы с 1С УПП, 1С:ITILIUM и 1С:ДО — Опыт работы с токенами (Рутокен, JaCarta, ESMART Token и др.) и понимание их особенностей — Умение формировать и проверять машиночитаемые доверенности в различных форматах — Навыки работы с государственными информационными системами (ФНС, СФР, ЕГАИС, Честный знак и др.) — Сертификаты или удостоверения о прохождении специализированных курсов по работе с электронными подписями, криптографическими средствами, системами электронного документооборота (ЭДО) и государственными информационными системами (например, ФНС, СФР) Условия: — Работа в крупном, устойчивом и узнаваемом российском холдинге — Чёткие задачи и прозрачные цели — Своевременные выплаты и конкурентную зарплату — Команда профессионалов и обучение — ДМС и страхование от несчастных случаев — Корпоративная мобильная связь — Компенсация питания и сервис корпоративных скидок — Возможности профессионального развития и карьерного роста — Социальная поддержка и комфортные условия для работы и жизни Примечание: Позиция декретная

Location: Russia; Perm; Moscow Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. THE ROLE We are hiring a Team Lead, Web3 to lead a cross-functional team of frontend, backend, smart contract and QA engineers in XsollaZK, Xsolla's Web3 ecosystem on a zkSync-based L2. Your team builds: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX, an NFT marketplace and an auction. This is a management role. Most of your time goes to people and delivery: building the team, growing engineers, and making delivery predictable. The rest goes to technical leadership: architecture, reviews and hands-on code where it matters. Responsibilities WHAT YOU WILL OWN The team: hiring, onboarding, growth and performance of frontend, backend, smart contract and QA engineers Delivery: predictable commitments, a sustainable pace and the quality of what the team ships How the team works: processes, engineering standards and an AI-assisted workflow Relationships with Product, DevOps and other Xsolla product teams: priorities, dependencies and expectations The technical direction of the team's product area: on-chain / off-chain architecture and key technical decisions, justified in writing Security and reliability of what the team ships: signing flows, contracts that hold user assets, production operation and the team's on-call rotation WHAT YOU WILL DO People Set clear goals and expectations for each engineer Run regular 1:1s, performance reviews and career development conversations; give direct feedback and address underperformance Hire engineers across disciplines: define roles, run interviews and onboard new people Grow engineers through mentoring and build the team's next leaders Build a culture of technical excellence, collaboration and continuous learning Delivery Work with Product to shape requirements, estimate and plan work Manage scope, workload, risks and dependencies so the team delivers on its commitments Report progress, risks and blockers to stakeholders Lead the team through production incidents and post-mortems Continuously improve development processes and team efficiency Technical leadership Review architecture and critical code across backend, frontend and smart contracts, with a focus on edge cases specific to Xsolla products: smart wallets, tokenization of in-game items and currencies, marketplace and auction flows Lead key decisions on smart wallet integration (UserOperations, paymaster and gas sponsorship), session keys and the signing flow Identify systemic risks (key management, signature phishing, bundler and RPC dependencies) and make sure they are addressed before they become incidents Contribute hands-on to critical features when needed Set up AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) and drive its adoption across the team REQUIRED Management experience 5+ years of engineering management experience Managing cross-functional teams that combine several disciplines (for example frontend, backend, smart contracts and QA) Teams you led shipped dApps to production and maintained them People leadership Hiring and building teams: defining roles, running interviews, onboarding Performance management: setting goals, giving feedback, running performance reviews, handling underperformance Growing engineers: career plans, mentoring Delivery and stakeholders Delivery planning: estimation, sprint planning, managing scope, risks and dependencies Working with Product and other teams on priorities and trade-offs; explaining technical trade-offs to non-technical stakeholders Leading a team through production incidents and post-mortems Balancing management with hands-on technical work Technical depth A strong technical background: hands-on engineering experience across the Web3 stack, deep enough to lead technical decisions and review work on each layer: Web3 libraries and wallets: viem and wagmi in production; how wallet signers work (EOAs, browser and embedded wallets, smart accounts, EIP-191, EIP-712, EIP-1193); smart wallets (UserOperations, paymasters, ERC-1271) Backend: Go and TypeScript (Node.js); processing on-chain events (idempotency, reorgs, retries); asynchronous messaging (Kafka, RabbitMQ or NATS ); PostgreSQL and Redis; REST and gRPC API design Frontend: React and TypeScript; web security fundamentals ( XSS , CSRF , CSP , safe handling of signatures and keys in the browser) Smart contracts: reading Solidity and the EVM (storage, gas, proxy upgrade patterns, access control); common vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) Operations: Docker, Kubernetes, CI/CD; observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to Have ZK Stack and zk -rollups: EraVM vs EVM , system contracts (ContractDeployer, NonceHolder), L1↔L2 messaging, bridging and finality Smart contract development in Solidity with Foundry Deeper account abstraction: ERC-4337 EntryPoint versions and validation rules (ERC-7562, ERC-6492), modular accounts (ERC-7579 / ERC-6900), session keys and delegated permissions (ERC-7710 / ERC-7715), EIP-7702 Hands-on experience with wallet and AA infrastructure technologies (Sequence, thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, ZeroDev, Safe{Core}), with clear views on build versus buy Key management: HSM , MPC / threshold signing, social or guardian-based recovery DeFi ( DEX , AMM ) and NFT marketplaces (ERC-721, ERC-1155, auctions) go-ethereum and abigen Managing distributed or remote teams Gaming or fintech experience with high-load systems HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built on the Technical depth part of the Required section and the technical items in What you will own . People and delivery. Built on the Management experience , People leadership and Delivery and stakeholders parts of Required : real situations from your experience with hiring, performance, delivery and incidents. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.