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Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About the Role We're looking for a Senior Product Manager to join our Platform Product team, working on mission-critical systems that power our global infrastructure. Depending on your background and strengths, you'll focus on one or more of the following areas: Compliance & Regulatory Products — Translating global regulatory frameworks (MiCA, VASP, MAS) into scalable product solutions; KYC/AML systems; market launch and business migration User Account & Identity — Account architecture, authentication, security & risk control, user lifecycle management Fund & Asset Infrastructure — Deposit/withdrawal systems, unified trading accounts, multi-chain asset management, RWA integration AI-Powered Products — LLM/RAG/Agent applications for customer-facing and internal efficiency use cases Key Responsibilities Define product strategy and roadmap for platform-level systems serving millions of global users Translate complex business, regulatory, or technical requirements into clear product specifications Drive cross-functional execution across engineering, design, compliance, and operations Own end-to-end product delivery from discovery through launch and iteration Build scalable product frameworks that balance user experience, security, and regulatory requirements Requirements 7+ years of product management experience, with 3+ years in relevant domains (compliance, account systems, payments/funds, or AI products) Background in crypto exchanges, fintech, brokerage, or large-scale internet platforms Strong systems thinking — comfortable with architecture-level product design Proven ability to ship complex, cross-functional products in fast-moving environments Excellent English communication skills for global stakeholder engagement Data-driven decision making with strong analytical skills Preferred Qualifications Experience at leading crypto platforms or top-tier fintech/brokerage firms Track record of 0-to-1 product launches in regulated or high-security environments Understanding of blockchain infrastructure, multi-chain architecture, or on-chain asset management Experience with LLM/AI product development and deployment at scale Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX Role Summary As a Product Security Engineer, you will support security assessments and vulnerability operations for Cloudflare’s core software products. In this role, you will analyze system architecture, threat model new features, and ensure that product-related security findings are accurately triaged, routed to the correct engineering owners, and mitigated within our SLAs. On any given day, you might conduct a deep-dive security review on a new feature design, triage a complex bug bounty submission, or work directly with engineering teams to resolve vulnerabilities from different sources like bug bounties, SAST, fuzzing and penetration tests. You will also work autonomously to identify areas where our manual processes slow down. You will write code and integrate AI/LLM solutions to automate initial triage and data enrichment, building tools that help the team handle security findings at scale. In short, your work will sit at the intersection of Product Security, Vulnerability Operations, and internal AI Tooling. Ideally, you have experience in conducting academic/vulnerability research with a focus on systems security. Responsibilities Implement AI Security Solutions: Identify process bottlenecks and build AI-driven tools or scripts to help automate code analysis, optimize triage, and streamline Product Security workflows. Security Reviews & Threat Modeling: Conduct structured security reviews and threat modeling sessions (e.g., STRIDE) across product features, defining security requirements early in the development lifecycle. Product Vulnerability Management: Manage the operational lifecycle of product security findings. Ensure vulnerabilities are verified, mapped to the correct engineering owner, and tracked to mitigation in alignment with established SLAs. Bug Bounty Triage: Perform the technical triage and validation of Cloudflare’s external Bug Bounty submissions, verifying exploitability and evaluating business risk. Pentest Coordination: Support internal and external penetration testing engagements by reviewing findings, clarifying technical context, and assisting development teams with remediation strategies. Engineering Collaboration: Partner closely with DevOps and product teams, acting as a reliable security point of contact and helping developers implement secure coding practices. Desirable Skills, Knowledge, and Experience Product/AppSec Expertise: 5+ years of experience in Product or Application Security within large-scale distributed cloud environments or SaaS platforms. Practical AI & Automation Engineering: Demonstrated ability to build production-grade automation scripts and tools. Must possess hands-on engineering experience leveraging AI/LLMs to solve operational or technical challenges. Threat Modeling & Risk Analysis: Competency in threat modeling methodologies and the ability to evaluate code flaws to determine their actual engineering and security impact. Vulnerability Lifecycle Operations: Experience tracking, routing, and driving the remediation of software vulnerabilities across engineering groups while working against defined SLAs. Strong Collaboration & Communication: Ability to collaborate effectively across teams, clearly communicating technical security risks to software engineers and resolving ownership ambiguity constructively. Bonus points Offensive Security Tooling: Familiarity with modern exploitation techniques, fuzzing frameworks, or automated scanning utilities. Program Management Experience: Experience scaling crowdsourced security programs (e.g., HackerOne, Bugcrowd) or optimizing agile project management workflows within JIRA. Experience in integrating hardware security features into production code bases Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Brazil - Remote About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Mission As a Fiat Operations Specialist, you will be responsible for driving the integration of local payment methods that allow users to deposit and withdraw BRL. You will collaborate closely with product, compliance, and tech teams to improve the fiat on&off-ramp experience for users. A key aspect of this role is working with the product team to identify opportunities to build the smooth user experience, ensuring that payment flows are intuitive, seamless, and aligned with customer and regulatory needs. Key Responsibilities Own and manage BRL on/off-ramp channels end-to-end, ensuring availability, performance, and reliability. Serve as the primary point of contact for brazilian banks and payment vendors, payment service providers (PSPs), card processors, and other fiat partners, managing relationships, negotiations, and day-to-day communication to ensure reliable and efficient payment channels. Lead and coordinate technical integrations with local banks and payment gateways, working alongside engineering and product teams to ensure seamless implementation and ongoing maintenance of payment infrastructure; Ensure seamless user access to fiat products, minimizing friction in deposits and withdrawals. Monitor and manage the end-to-end operational process for fiat on&off-ramps, ensuring smooth transactions and rapid issue resolution for users. Identify emerging trends in user preferences, and regulatory changes in Brazil to adapt our platform accordingly. Work closely with Customer Support to resolve user issues related to deposits, withdrawals, and transaction status, including handling workflows and tickets raised by the CS team that are related to fiat operations. Maintain strong relationships with banking partners, payment service providers (PSPs), card processors, and other fiat partners. Ensure liquidity and operational stability of BRL fiat flows and payment channels. Use data and metrics to optimize payment integrations, minimize friction for users, and enhance the overall user experience; Work closely with the product team to improve the overall user experience of fiat on&off-ramp processes. Provide insights and feedback based on user behavior, transaction data, and customer feedback to inform product enhancements that improve payment flow, reduce friction, and increase user satisfaction. Support fiat on/off-ramp operations for additional currencies (e.g., ARS and others), as applicable. Monitor daily fiat operations, ensuring accurate processing, timely settlements, and proper reconciliation between internal systems and external partners. Coordinate card and payment infrastructure partners for Brazilian users, ensuring smooth operation of payment flows, supporting issue resolution and complaints handling, and actively participating in the design and improvement of these processes. Maintain and improve operational controls (limits, reconciliation routines, cut-off times, monitoring alerts). Identify, investigate, and resolve operational incidents, ensuring proper escalation and root cause analysis. Keep SOPs, runbooks, and operational documentation up to date and aligned with actual processes. Collaborate cross-functionally with Product, Technology, Risk, and Compliance teams to improve fiat infrastructure and processes. Act as a key advocate for the user experience, ensuring that payment-related touchpoints are designed to be intuitive, frictionless, and aligned with user needs and expectations. Requirements Experience: 3+ years of experience in payment operations, banking, fintech in Brazil. Payments&Banking Background: Demonstrated experience in the payments or banking industry, with a strong understanding of the brazilian financial ecosystem, local payment rails, and banking operations; Technical Integration Experience: Hands-on experience coordinating technical integrations with banks, payment providers; ability to bridge communication between technical and business teams. Regulatory Awareness: Familiarity with brazilian financial regulations, anti-money laundering practices, KYCcompliance, and payment industry standards. Project Management: Strong project management skills, with the ability to lead multiple initiatives and meet deadlines in a fast-paced environment. Problem Solving: Analytical thinker with a proactive approach to identifying issues and implementing effective solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to work cross-functionally and liaise with internal and external stakeholders including banks and vendors. Languages: Fluency in both English and Portuguese is required (written and verbal). Additional languages are a plus. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations. - Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable. - Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Mandarin and/or Korean language ability. - Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities. - A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering. - Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

Location: Hong Kong/ Shenzhen Workplace: remote Role Overview CertiK is the global leader in Web3 and blockchain security. We are seeking a high-energy, target-driven Business Development Manager based in Hong Kong to accelerate our growth across the APAC region. In this role, you will lead end-to-end sales cycles—from proactive outbound lead generation to closing deals for our suite of security solutions, including smart contract audits, penetration testing, formal verification, Skynet threat monitoring, and compliance services . You will serve as a bridge between traditional financial institutions entering the digital asset space (Web2) and crypto-native projects (Web3), leveraging your regional market understanding and language capabilities to secure high-value security partnerships. Key Responsibilities Pipeline Generation & Outbound BD: Actively identify, prospect, and engage decision-makers (CTOs, Founders, Head of Web3/Digital Assets) across blockchain protocols, DeFi projects, RWA tokenization platforms, exchanges, and Web2 institutional entrants. Full Sales Cycle Execution: Drive complex, multi-stakeholder sales cycles from initial outreach and technical discovery to proposal creation, price negotiation, and contract execution. Enterprise & Institutional Sales: Engage traditional financial institutions, asset managers, family offices, and tech enterprises seeking institutional-grade security for their Web3 initiatives. Cross-Functional Collaboration: Work closely with CertiK’s global security engineering, solutions architecture, delivery, and marketing teams to ensure smooth deal execution and client onboarding. Account Expansion & Networking: Build long-term relationships with key accounts to drive renewals, audit add-ons, and monitoring subscriptions. Represent CertiK at local industry events, conferences, and ecosystem meetups. Key Requirements & Qualifications Experience: 2–5 years of successful B2B sales or business development experience in Web3, blockchain security, cybersecurity, SaaS, or institutional fintech. Domain Knowledge: Strong familiarity with Web3 native ecosystems (EVM chains, Layer 1/Layer 2 protocols, DeFi, tokenomics, smart contract architectures). Good understanding of Web2 cybersecurity fundamentals (e.g., penetration testing, code review, risk assessments). Core Languages: Professional working proficiency (written and spoken) in English and Mandarin for regional collaboration and global client management. Track Record: Proven ability to meet or exceed quarterly sales quotas through structured outbound outreach and consultative deal closing. Language & Skills Bonuses (Highly Preferred) Cantonese Advantage (Bonus): Native or full professional fluency in Cantonese is a strong advantage for localized Hong Kong institutional coverage, government/regulatory networks, and local Web3 builders. Regional Asian Languages (Bonus): Proficiency in additional regional languages—such as Japanese, Korean, or Vietnamese, —is a significant bonus for driving APAC cross-border expansion or local market expansion. Security & Audit Familiarity: Direct experience selling smart contract audits, penetration tests, or bug bounty services. Regulatory Context: Understanding of Hong Kong’s digital asset licensing landscape (e.g., SFC VASP regulations, HKMA stablecoin frameworks). Education: Bachelor’s degree in Computer Science, Cybersecurity, Finance, Business Administration, or a related field. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Mumbai, India Job Description Job Title: Associate – Regulatory Toxicology Employment Type: Full-time Location: Mumbai, India About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: • Conduct literature searches and prepare toxicological assessments of various raw materials/ingredients used in consumer and OTC products. • Create Raw Material Toxicology Profiles for INCI ingredients as well as residual chemicals. • Conduct risk assessments for raw materials used in cosmetic applications, including Margin of Safety and California Proposition 65 calculations. • Draft Full Safety Assessments as required by the European Cosmetics Directive. • Draft safety assessments for impurities and degradants based on requirements. • Draft Full Safety Assessments, including recommendations for the approval of formulas. • Complete all assigned training within the specified timelines. • Participate in Process Improvement Initiatives to maintain the Quality and Compliance score. • Escalate any issues encountered during daily activities to the Team Lead on a daily basis. Candidate Profile: • Minimum of 2–4 years of experience in the pharmaceutical industry as a Regulatory Toxicologist. • Master's degree in Toxicology or Veterinary Pharmacology. • Good verbal and written communication and presentation skills in English. • Should be proactive and initiative-driven. • Should be solution-centric in approach.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore 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 As a Staff Engineer, y ou'll own the build-out of our security engineering and DevSecOps capabilities: designing and developing the security products, platform services, and SDKs/Agents that embed protection directly into how code is written, built, shipped, and run. This is a role for someone with real depth in security, broad coverage across the stack, and the engineering muscle to ship. Just as important is the ability to drive adoption — security that lands in complex, fast-moving business environments rather than sitting in a policy document. What You’ll Be Doing Architect and build our end-to-end DevSecOps platform and the SDKs/Agents behind our security products, covering code, build, artifacts, images, deployment, and runtime. Lead runtime protection through RASP and Java Agent — bytecode instrumentation, runtime hooking, and detection/interception engines using ASM, ByteBuddy, and Instrumentation, with continuous tuning for performance, stability, and compatibility. Integrate and productise scanning capabilities across SAST, DAST, IAST, SCA, code scanning, and image scanning. You'll embed tools like SonarQube and Coverity deep into CI/CD and close the loop from detection through blocking, remediation, and re-test. Go deep on application security offence and defence — designing detection, remediation, hardening, and counter-measures for XSS, SQL injection, SSRF, deserialisation, command execution, authentication/authorisation flaws, and API security. Bring AI-native security engineering to life. Apply LLMs and AI Agents to vulnerability analysis, rule generation, false-positive attribution, remediation guidance, security knowledge capture, and engineering automation — and build a coherent view of the architecture, mechanics, and security implications. Embed as the security technical expert inside engineering teams, driving security standards, onboarding specifications, release gates, risk tiering, and remediation mechanisms that measurably lift the security baseline and delivery quality. Partner across engineering, architecture, SRE, QA, and business teams on priority projects, solving the genuinely hard security problems and turning the solutions into reusable platform capability and repeatable practice. What We Look For In You Strong computer science and security fundamentals — deep understanding of operating systems, networking, compilers and the JVM, distributed systems, application security, cloud-native security, and supply chain security. Both breadth and depth. Expert-level Java, with hands-on depth in the JVM, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, and performance profiling and tuning. Plus working proficiency in Python or Go. Substantial production experience with RASP, SAST, DAST, IAST, SCA, image security, and code scanning — enough to design a capability, integrate the engine, build the platform around it, and take it to scale independently. Real offensive and defensive experience. You understand the root causes, exploitation paths, detection logic, bypass techniques, and fixes for common web, API, and microservices vulnerabilities — and can design from both the attacker's and defender's point of view. Fluency with LLMs and AI Agents, including a considered view on model capability limits, agent architecture, tool calling, context engineering, evaluation methods, and how AI is reshaping both security engineering and the attack surface. Strong engineering execution paired with product instinct — able to lead the design and delivery of security products, platform modules, and SDKs/Agents while balancing security outcomes against performance overhead, integration cost, and long-term operability. Exceptional ownership, cross-team communication, and the persistence to move security governance, rule enforcement, and remediation through to a clear result. Nice to Haves Security engineering experience at a top-tier internet company, cloud provider, or leading security vendor You've led the build of a DevSecOps platform, application security platform, RASP, code scanning platform, or cloud-native security platform Background in security product development, SDK/Agent engineering, vulnerability research, red team exercises, or purple team work Shipped AI + Security work — security copilots, intelligent rule generation, automated analysis, or remediation recommendation systems 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: Efkarpia, Greece; Athens, Greece ALUMIL, a global leader in architectural aluminium systems, is seeking an experienced and innovative Façade Designer to join its International Project team. The position focuses on the design, development, and optimization of façade systems to meet architectural, functional, and performance requirements. Role Overview As a Façade Designer, you will be responsible for coordinating all design stages, managing stakeholders, and delivering optimized, buildable, and compliant solutions. In this role, you will be engaged from the concept design phase through detailed development and implementation, ensuring compliance with industry standards and company specifications. Key Responsibilities Leading façade development from concept to execution, defining system selection, and establishing the technical approach Evaluating structural behavior and managing critical interfaces like waterproofing, slab edges, and anchoring Managing design risks regarding thermal, structural, and water tightness while ensuring adherence to international standards Collaborating with architects and clients on strategy, providing technical support to the commercial department, and approving shop drawings Overseeing the fabrication process for quality control and performing value engineering to optimize project costs and efficiency Requirements University degree in Architecture, Engineering, or related discipline Minimum 3 years of experience in façade design, preferably in aluminium systems or architectural building envelopes Proficiency in AutoCAD Familiarity with façade performance standards and testing procedures Strong problem-solving skills and attention to detail Good organizational skills and ability to work collaboratively in multidisciplinary teams Excellent command of English, both written and spoken Proactive attitude and ability to manage multiple tasks simultaneously Benefits Provision of private life & health insurance Annual performance bonus Continuous learning and support Custom onboarding plan ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: Al Khobar, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates The Procurement Engineer is responsible for managing the complete procurement lifecycle for EPC projects, including sourcing materials, equipment, long-lead items, and subcontracted services. The role ensures cost-effective purchasing, timely delivery, compliance with technical specifications, and adherence to project schedules while supporting successful project execution. Key Responsibilities Manage the end-to-end procurement process for project materials, equipment, long-lead items, and subcontracted services in accordance with project requirements. Prepare RFQs, evaluate supplier quotations, and conduct technical and commercial bid evaluations with engineering and project teams. Negotiate pricing, delivery schedules, payment terms, warranties, and contractual conditions to achieve the best commercial outcomes. Prepare purchase orders, procurement recommendations, and contract documentation for management approval. Coordinate with engineering, planning, QA/QC, logistics, construction, and project management teams to ensure timely procurement and material delivery. Monitor supplier performance, expedite critical deliveries, and resolve procurement issues that could impact project schedules. Develop and maintain strong relationships with approved vendors while identifying new suppliers to improve quality, cost, and delivery performance. Track procurement progress, maintain procurement schedules, and provide regular status reports to project management. Ensure compliance with company procurement procedures, client specifications, contractual obligations, and applicable HSE and quality standards. Maintain accurate procurement records, vendor databases, and documentation while supporting project cost control and procurement risk management Requirements Bachelor's degree in Mechanical, Electrical, Civil, Industrial Engineering, or a related engineering discipline. Minimum 15 years of procurement experience with reputed EPC contractors. At least 5 years of experience in EPC projects within Oil & Gas, Petrochemical, Power, Infrastructure, or Industrial sectors. Proven experience in procuring long-lead items, critical equipment, bulk materials, and subcontracted services for major EPC projects. Strong knowledge of EPC procurement processes, contract administration, supplier qualification, and commercial negotiations. Experience in international and local sourcing, vendor development, supplier evaluation, and procurement planning. Proficiency in ERP systems such as SAP, Oracle, or equivalent procurement software, along with Microsoft Office applications. Professional certifications such as CIPS, CPM, or equivalent are preferred. Excellent analytical, negotiation, communication, and stakeholder management skills with the ability to work under project deadlines.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. About the role At Halter, our platform is what turns ambitious engineering into farmer and rancher impact. Every collar on every cow, every grazing break a farmer or rancher sets, and every alert a vet acts on depends on infrastructure that's reliable, secure, and easy for our engineers to build on. As Halter grows globally and our systems handle billions of daily events from the paddock, the platform underneath needs to scale with us without slowing anyone down. We're looking for a Lead Engineer to join our Platform team to set the direction for how we build, run, and evolve the systems that everything else at Halter sits on. You'll combine deep technical expertise with the leadership to shape how a fast-growing engineering organisation thinks about cloud infrastructure, developer experience, security, and AI-assisted engineering. Day-to-day you'll partner closely with engineering teams across the business, including backend, embedded, ML, and data, to make sure the platform accelerates their velocity rather than gating it. Whether it's evolving our internal AI tooling into something the whole org relies on, building golden paths that make the right thing the easy thing, hardening our cloud security posture, or keeping our collar-to-cloud pipeline rock-solid as we scale, you'll own problems end-to-end. If you want your work to multiply the impact of every other engineer at Halter, this is the role. What you'll do - Drive how Halter leverages AI tooling to accelerate development. We've already invested in internal AI infrastructure that engineers rely on day-to-day, and you'll evolve it from an engineering-team tool into something the whole org leans on. You'll own the adoption patterns, the guardrails, and the force-multiplier use cases, from automated CI-failure triage to PR review bots to AI-summarised build notifications. - Build out the tooling, guardrails, and golden paths that make it easy for other engineers to ship safely and quickly. The right paved roads multiply every engineer's impact, and you'll shape where ours go next. - Set the technical direction for our cloud infrastructure as Halter scales globally, making the architecture decisions that balance velocity, cost, reliability, and operational simplicity. - Bake security into the platform through guardrails and sensible defaults, so the secure path is also the easy path for every team. You'll set the direction across IAM, network policy, secrets management, and supply chain. - Keep our core compute and orchestration layer reliable at the scale farmers and ranchers depend on, day in and day out. - Drive observability and incident tooling forward, treating on-call as a signal rather than a cost. Engineers should be able to detect, diagnose, and resolve issues before they reach farmers and ranchers. - Automate infrastructure management through Infrastructure-as-Code, CI/CD pipelines, and internal tooling that reduces operational load over time. - Lead cross-functional architecture discussions and help define and evolve platform practices and standards across the organisation, balancing pragmatic delivery with long-term maintainability. - Mentor and grow other engineers through design conversations, code reviews, and generous context sharing. - Be part of an on-call rotation, working with a highly skilled team to resolve incidents and put preventative measures in place. Who we're looking for - You have deep experience building and operating AWS at scale, with strong fluency in container orchestration, cloud networking, and Infrastructure-as-Code. - You've led platform or infrastructure work in a high-growth environment, and you're comfortable setting direction across multiple teams. - Backend product development experience is a plus, since it helps you understand how engineers build products and what they need from the platform underneath them. - You understand what good developer experience looks like, and you've built golden paths, paved roads, or internal platforms that engineers reach for instead of rolling their own. - You treat security as a first-class part of platform engineering, not an afterthought, and have hands-on experience hardening cloud environments. - You're excited about how AI tooling can change the way engineering teams work, and you have a point of view on where it adds leverage versus where it adds risk. Bonus if you've built an AI agent or AI-assisted tooling in production. We have internal AI infrastructure of our own, and we'll want your point of view on where it goes next. - You understand how to build systems that are observable, testable, and easy to debug at scale. - You're a strong communicator who leads through influence, aligning teams around shared goals, raising the bar on practices, and championing reliability across the organisation. - You embrace ambiguity. At Halter, the biggest platform problems rarely come with a clear spec. You're comfortable navigating uncertainty and making pragmatic calls. - You're a highly effective collaborator who lifts the people around you through clear communication, generous knowledge sharing, and a low ego. - Importantly, we're looking for someone who is passionate about what they do, motivated by impact, and eager to keep learning. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step Who You Are Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing) Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use Have managed vendors, contractors, quotes, and freight for physical equipment Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram Work independently with minimal supervision , and know when to ask Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information Communicate clearly and directly, especially when flagging risks or blockers Strong Candidates May Also Have Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting) Supported hardware security, firmware, or platform bring-up work Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.) Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it Location This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE You will own the operational and commercial performance of the hyperscalers, neoclouds, and GPU infrastructure providers that power fal’s compute fleet. You will translate contract commitments into measurable operating standards, resolve performance issues, recover credits and remedies, and ensure our capacity is ready when customers need it. This is a hands-on role for someone who understands both infrastructure operations and commercial vendor management. You will build the systems, reporting, and operating cadence for a vendor portfolio that is growing quickly in scale and complexity. WHAT YOU’LL DO - Own post-signature relationships with GPU infrastructure providers, including hyperscalers, neoclouds, colocation partners, and other strategic compute vendors. - Translate contractual commitments into measurable SLAs, scorecards, escalation procedures, and internal operating requirements. - Track availability, provisioning timelines, capacity delivery, support responsiveness, and other vendor-performance measures. - Lead escalations when vendors miss commitments, coordinating with Infrastructure, Capacity Planning, Finance, Legal, and executive stakeholders. - Pursue service credits, remedies, and corrective-action plans, and ensure issues remain open until they are fully resolved. - Run vendor governance, including regular operating reviews, executive business reviews, performance reporting, renewal readiness, and contract-compliance tracking. - Partner with Capacity Planning and Strategic Sourcing to align committed capacity with demand forecasts and identify supply risks early. - Reconcile invoices against contracted pricing, delivered capacity, usage, credits, and other commercial terms. - Maintain accurate records of commitments, renewals, open claims, invoices, and vendor obligations. - Build the vendor-management processes, dashboards, and operating cadence fal needs as its infrastructure footprint scales. REQUIREMENTS/NICE TO HAVE: - 5+ years in infrastructure vendor management, cloud partnerships, strategic sourcing, procurement operations, or a related function. - Direct experience managing commercial relationships with hyperscalers, neoclouds, GPU providers, data-center operators, or other large-scale infrastructure vendors. - Experience operationalizing complex infrastructure agreements involving committed capacity, SLAs, service credits, provisioning requirements, renewals, and commercial remedies. - A track record of resolving vendor-performance issues and holding strategic partners accountable without damaging long-term relationships. - Strong analytical and operational skills, including performance reporting, invoice reconciliation, credit calculations, and contract-compliance tracking. - Enough technical fluency to work effectively with infrastructure engineering and capacity-planning teams and understand the operational impact of vendor failures. - Experience running QBRs, vendor scorecards, executive escalations, and corrective-action plans. - Comfort building processes and systems from scratch in a fast-moving environment. - Clear, direct communication and excellent attention to detail. - Experience managing GPU capacity across multiple providers. - Experience allocating constrained capacity during shortages or periods of rapid demand growth. - Familiarity with GPU availability, provisioning, utilization, networking, and cloud infrastructure economics. - Experience recovering material service credits or negotiating remedies following major performance failures. - Experience establishing a vendor-management function at a hyperscaler, neocloud, AI infrastructure company, or high-growth technology company. WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - Regular team events and offsites COMPENSATION - $160,000 - $200,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations. The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions. This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases. A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance. Responsibilities: Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights. Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools. Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience. Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed. Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas. Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption. Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives. Education / Experience (Requirements): Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Strong experience with Python, SQL, data analysis, automation, and dashboard/report development. Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms. Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools. Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies. Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations. Ability to manage multiple priorities and work independently in a fast-paced environment. Preferred Qualifications: Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data. Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization. Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD. Experience with forecasting, optimization, workforce planning, or process improvement. Technical Skills Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker. #LI-TF1 Recruiting Range $90,000 — $100,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .