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📍 근무 형태: 한국 (재택근무 – 한국 내 어디서든 근무 가능)금융을 더 간단하고, 더 스마트하며, 더 포용적으로 만드는 AI 시스템 구축BJAK은 인공지능을 활용해 수백만 명의 동남아시아 사용자가 보험 및 금융 서비스를 더 쉽게 접근하고, 이해하고, 감당할 수 있도록 돕고 있습니다. Senior AI/ML 소프트웨어 엔지니어로서, 개인화 추천, 사기 탐지, 자동화, 검색 등 핵심 기능을 구동하는 지능형 시스템을 구축하게 됩니다.이 포지션은 한국에 거주하며, 말레이시아 본사 및 동남아 지역 팀과 긴밀히 협업하는 원격 근무 기반의 역할입니다. 빠르게 움직이고 수평적인 구조의 팀에서 실행력과 아이디어로 매일 실질적인 결과를 만들어낼 수 있습니다.왜 이 포지션이 중요한가사용자 경험, 효율성, 플랫폼 지능에 직접적인 영향을 미칩니다수백만 명에게 제공되는 프로덕션 AI 시스템 구축에 기여합니다다양한 기능 부서와 협업하며 확장 가능한 ML 도구를 처음부터 설계합니다작고 효율적인 엔지니어링 환경에서 빠르게 성장할 수 있습니다주요 업무제품, 데이터, 엔지니어링 팀과 협업하여 ML 목표 및 기술 전략을 수립개인화, 자동화, 인사이트 생성을 위한 머신러닝 모델을 설계·구축·배포데이터 전처리, 피처 엔지니어링, 모델 학습, 평가, 배포 등 전체 ML 수명 주기 관리확장 가능한 ML 인프라 및 배포 파이프라인 구축ML 출력 결과를 사용자 중심 제품 및 백엔드 시스템에 통합최신 AI/ML 트렌드를 파악하고, 이를 실제 스택에 적용프로덕션 ML 시스템의 디버깅, 테스트, 성능 최적화 지원이런 분이라면 잘 맞습니다모델만 만드는 것이 아니라 실제 결과를 내는 데 책임감을 가지는 분명확한 가이드 없이도 스스로 문제를 파악하고 해결할 수 있는 분빠르게 움직이며, 개선을 반복하는 환경을 즐기는 분데이터에서 배포까지 전체 문제를 끝까지 책임지는 분겸손하고 협력적인 태도로 팀의 수준을 높이는 분변화와 모호함 속에서도 방향성을 만들어내는 분피드백과 학습을 통해 매일 발전하려는 자세를 가진 분자격 요건컴퓨터공학, 데이터과학, 엔지니어링 등 관련 기술 전공 학사 또는 석사 학위Python에 대한 높은 숙련도가 반드시 필요합니다머신러닝 또는 백엔드 소프트웨어 개발 분야에서 2~4년의 경력Python에 능숙하며, TensorFlow, PyTorch, Scikit-learn 등 프레임워크 경험데이터 전처리, 모델 설계, 튜닝, 평가 등 ML 워크플로우에 대한 탄탄한 이해모델 배포, API 개발, 실무 통합 경험Google Colab, Jupyter, 클라우드 기반 ML 플랫폼 사용 경험뛰어난 분석력, 문제 해결 능력, 커뮤니케이션 역량한국에 거주하며, 시차를 고려한 원격 협업이 가능한 분우대 사항자연어처리(NLP), 컴퓨터 비전, 추천 시스템 관련 경험AWS, GCP, Azure 등 클라우드 서비스 사용 경험Docker, Git, CI/CD 도구 사용 경험스타트업 또는 빠르게 성장하는 제품팀에서의 근무 경험혜택경쟁력 있는 급여 및 성과 기반 보너스한국 어디서든 가능한 유연한 완전 재택근무아시아 수백만 명에게 도달하는 실제 임팩트 있는 업무수평적 구조에서 아이디어가 존중받고, 기여가 보이는 환경빠른 학습 곡선과 기술적·개인적 성장 기회동남아 지역 팀과의 협업을 통한 광역 시장 경험회사 소개BJAK은 동남아시아 최대의 디지털 보험 플랫폼으로, 수백만 명의 사용자가 합리적이고 투명한 금융 보호에 접근할 수 있도록 돕고 있습니다. 말레이시아 본사를 중심으로 태국, 대만, 일본에 걸쳐 운영되고 있으며, 인공지능, 자동화, 스마트 API를 통해 금융 서비스를 더 간단하고 공정하게 만듭니다. 복잡한 금융 시스템을 단순화하고, 사용자 중심의 경험을 제공하기 위해 끊임없이 혁신하고 있습니다.실제 문제를 머신러닝으로 해결하고 싶은 분, 빠르게 움직이고 임팩트를 만들고 싶은 분을 기다립니다.----------------------------------------------------------------------------------📍 Working arrangement: Korea (Remote - work from anywhere in Korea)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Korea, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Korea and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in KoreaDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 근무 형태: 한국 (원격 – 한국 내 어디에서든 근무 가능)모델부터 UI까지, 지능형 시스템을 설계하고 구축하세요BJAK은 동남아시아 전역의 금융 서비스를 더 스마트하고 단순하며 포용적으로 만들기 위해 AI를 활용하고 있습니다. AI 엔지니어로서, 머신러닝과 소프트웨어 엔지니어링을 연결하여 사용자에게 실제 AI 기반 기능을 제공합니다.이 역할은 한국 원격 기반이며, 말레이시아 본사 및 동남아시아 각지의 팀과 긴밀히 협업하게 됩니다. 백엔드 로직과 ML 통합부터 프론트엔드까지 전반적인 시스템을 구축하며, 빠르게 확장 가능한 인텔리전트 서비스를 만듭니다.이 역할이 중요한 이유AI 모델과 사용자 경험을 연결하는 핵심 역할을 맡습니다수백만 명이 스마트 금융 서비스를 사용하는 방식을 설계합니다백엔드, ML, 프론트엔드를 아우르는 풀스택 시스템을 설계하고 구축합니다빠르게 움직이고 협업 중심의 팀에서 진정한 임팩트를 창출합니다주요 업무ML 모델을 통합한 풀스택 애플리케이션 개발 및 배포데이터 사이언티스트 및 ML 엔지니어와 협업하여 모델을 확장 가능한 백엔드에 통합지능형 기능을 위한 API, 백엔드 서비스, 실시간 데이터 파이프라인 개발AI 인사이트를 사용자에게 전달할 수 있는 직관적인 UI 설계설계, 테스트, 배포, 모니터링까지 전반적인 개발 라이프사이클 책임제품, 디자인, 엔지니어링 팀과 협업하여 완성도 높은 솔루션 출시AI 통합 애플리케이션의 성능, 사용성, 신뢰성 지속 개선이런 분이라면 BJAK에서 잘 맞습니다결과 중심 사고 – 코드가 아닌 임팩트에 집중하는 분문제를 처음부터 끝까지 해결하는 분 – 데이터부터 UI까지빠르게 만들고 더 빠르게 개선하는 분 – 지금의 V1이 언젠가의 V3보다 낫다고 생각하는 분불확실성, 혼란, 자원 제약 속에서도 움직이는 것을 즐기는 분창업가처럼 사고하는 분 – 지시 없이도 문제를 파악하고 해결하는 분새로운 도구, 프레임워크, 실패에서 배움을 얻는 분겸손하게 배우고, 팀원과 함께 성장하는 분에너지, 명확성, 실행력을 가지고 팀의 기준을 높이는 분자격 요건컴퓨터공학, 소프트웨어 엔지니어링 또는 유관 전공 학사 학위Python에 대한 높은 숙련도가 반드시 필요합니다프론트엔드 및 백엔드를 포함한 풀스택 개발 2~4년 경험Python 및 JavaScript(Node.js, React 등) 숙련ML 모델의 프로덕션 통합 경험REST API, 클라우드 배포, 확장 가능한 아키텍처에 대한 이해SQL/NoSQL 데이터베이스 및 분산 시스템 사용 경험소프트웨어 설계 패턴, 테스팅, 디버깅에 대한 깊은 이해한국 거주자이며, 글로벌 팀과의 원격 협업에 열려 있는 분우대 사항FastAPI, Flask, TensorFlow Serving 등을 활용한 ML 모델 배포 경험Next.js, Vue, TypeScript 등 최신 프론트엔드 스택 경험MLflow, Airflow, Docker, GCP, AWS 등 ML 툴 사용 경험고성장 스타트업 또는 애자일 팀 경험설명 가능한 AI, 시각화, 복잡한 ML 결과를 사용자에게 전달하는 기술에 관심 있는 분혜택 및 복지경쟁력 있는 급여 및 성과 기반 보너스한국 어디서든 근무 가능한 유연한 원격 근무제품 중심의 AI 회사에서 높은 임팩트와 책임을 경험할 수 있는 기회수평적인 구조 – 아이디어와 코드가 존중받는 환경엔지니어링, 데이터, 제품 전반에 대한 가시성과 성장 기회동남아시아 전역의 시장을 경험하고 제품에 영향을 줄 수 있는 기회회사 소개 – BJAKBJAK은 동남아시아 최대의 디지털 보험 플랫폼입니다. 말레이시아 본사를 중심으로 태국, 대만, 일본 등에서 운영 중이며, 수백만 명의 사용자가 스마트하고 투명한 금융 보호 서비스를 이용하고 있습니다. 우리는 자동화, 추천 엔진, 지능형 API를 통해 복잡한 금융 상품을 더 쉽게 접근하고 이해하며 이용할 수 있도록 만들고 있습니다.풀스택 엔지니어링을 통해 AI를 현실로 구현하고 싶고, 빠르게 실행하며 높은 책임감을 지닌 환경에서 성장하고 싶다면, BJAK에서 여러분의 도전을 기다립니다.-----------------------------------------------------------------------------------📍 Working arrangement: Korea (Remote - work from anywhere in Korea)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Korea, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Korea and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in KoreaHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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📍 근무 형태: 한국 (재택근무 – 한국 내 어디서든 근무 가능)금융을 더 간단하고, 더 스마트하며, 더 포용적으로 만드는 AI 시스템 구축BJAK은 인공지능을 활용해 수백만 명의 동남아시아 사용자가 보험 및 금융 서비스를 더 쉽게 접근하고, 이해하고, 감당할 수 있도록 돕고 있습니다. AI소프트웨어 엔지니어로서, 개인화 추천, 사기 탐지, 자동화, 검색 등 핵심 기능을 구동하는 지능형 시스템을 구축하게 됩니다.이 포지션은 한국에 거주하며, 말레이시아 본사 및 동남아 지역 팀과 긴밀히 협업하는 원격 근무 기반의 역할입니다. 빠르게 움직이고 수평적인 구조의 팀에서 실행력과 아이디어로 매일 실질적인 결과를 만들어낼 수 있습니다.왜 이 포지션이 중요한가사용자 경험, 효율성, 플랫폼 지능에 직접적인 영향을 미칩니다수백만 명에게 제공되는 프로덕션 AI 시스템 구축에 기여합니다다양한 기능 부서와 협업하며 확장 가능한 ML 도구를 처음부터 설계합니다작고 효율적인 엔지니어링 환경에서 빠르게 성장할 수 있습니다주요 업무제품, 데이터, 엔지니어링 팀과 협업하여 ML 목표 및 기술 전략을 수립개인화, 자동화, 인사이트 생성을 위한 머신러닝 모델을 설계·구축·배포데이터 전처리, 피처 엔지니어링, 모델 학습, 평가, 배포 등 전체 ML 수명 주기 관리확장 가능한 ML 인프라 및 배포 파이프라인 구축ML 출력 결과를 사용자 중심 제품 및 백엔드 시스템에 통합최신 AI/ML 트렌드를 파악하고, 이를 실제 스택에 적용프로덕션 ML 시스템의 디버깅, 테스트, 성능 최적화 지원이런 분이라면 잘 맞습니다모델만 만드는 것이 아니라 실제 결과를 내는 데 책임감을 가지는 분명확한 가이드 없이도 스스로 문제를 파악하고 해결할 수 있는 분빠르게 움직이며, 개선을 반복하는 환경을 즐기는 분데이터에서 배포까지 전체 문제를 끝까지 책임지는 분겸손하고 협력적인 태도로 팀의 수준을 높이는 분변화와 모호함 속에서도 방향성을 만들어내는 분피드백과 학습을 통해 매일 발전하려는 자세를 가진 분자격 요건컴퓨터공학, 데이터과학, 엔지니어링 등 관련 기술 전공 학사 또는 석사 학위Python에 대한 높은 숙련도가 반드시 필요합니다머신러닝 또는 백엔드 소프트웨어 개발 분야에서 2~4년의 경력Python에 능숙하며, TensorFlow, PyTorch, Scikit-learn 등 프레임워크 경험데이터 전처리, 모델 설계, 튜닝, 평가 등 ML 워크플로우에 대한 탄탄한 이해모델 배포, API 개발, 실무 통합 경험Google Colab, Jupyter, 클라우드 기반 ML 플랫폼 사용 경험뛰어난 분석력, 문제 해결 능력, 커뮤니케이션 역량한국에 거주하며, 시차를 고려한 원격 협업이 가능한 분우대 사항자연어처리(NLP), 컴퓨터 비전, 추천 시스템 관련 경험AWS, GCP, Azure 등 클라우드 서비스 사용 경험Docker, Git, CI/CD 도구 사용 경험스타트업 또는 빠르게 성장하는 제품팀에서의 근무 경험혜택경쟁력 있는 급여 및 성과 기반 보너스한국 어디서든 가능한 유연한 완전 재택근무아시아 수백만 명에게 도달하는 실제 임팩트 있는 업무수평적 구조에서 아이디어가 존중받고, 기여가 보이는 환경빠른 학습 곡선과 기술적·개인적 성장 기회동남아 지역 팀과의 협업을 통한 광역 시장 경험회사 소개BJAK은 동남아시아 최대의 디지털 보험 플랫폼으로, 수백만 명의 사용자가 합리적이고 투명한 금융 보호에 접근할 수 있도록 돕고 있습니다. 말레이시아 본사를 중심으로 태국, 대만, 일본에 걸쳐 운영되고 있으며, 인공지능, 자동화, 스마트 API를 통해 금융 서비스를 더 간단하고 공정하게 만듭니다. 복잡한 금융 시스템을 단순화하고, 사용자 중심의 경험을 제공하기 위해 끊임없이 혁신하고 있습니다.실제 문제를 머신러닝으로 해결하고 싶은 분, 빠르게 움직이고 임팩트를 만들고 싶은 분을 기다립니다.----------------------------------------------------------------------------------📍 Working arrangement: Korea (Remote - work from anywhere in Korea)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Senior AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Korea, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentStrong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Korea and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in KoreaDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 Working arrangement: Hong Kong (Remote - work from anywhere in Hong Kong)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Hong Kong, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Hong Kong and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in Hong KongDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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📍 Working arrangement: Germany (Remote - work from anywhere in Germany)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in Germany, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in Germany and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in GermanyHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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📍 Working Arrangement: Munich, Germany (Remote - work from anywhere in Germany)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Founding Lead AI Engineer based in Germany to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in Germany and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in GermanyHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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📍 工作安排：中国（远程办公 - 可在全国任何地方工作）从模型到用户界面——构建真正智能的全栈 AI 系统在 BJAK，我们正在用人工智能重塑东南亚的金融服务——让它们更智能、更简单、更具包容性。作为一名创始 AI 工程师（Founding AI Engineer），你将连接机器学习与软件工程，在系统架构、模型集成与前端交互之间搭建桥梁，把真正有价值的 AI 功能带给用户。本岗位为远程职位，需常驻中国，并与马来西亚总部及区域内跨职能团队密切协作。你将全栈参与，从后端逻辑、模型集成到前端交付，打造可快速扩展、真正落地的智能系统。为什么这个岗位重要你是连接 AI 模型与用户体验的关键一环你的代码将影响数百万用户与智能金融服务的互动方式你将架构并交付融合后端、AI 与前端的完整技术方案你将在一个精干、高速的团队中成长，真正拥有项目主导权你将负责的工作构建并部署融合机器学习模型的全栈应用与数据科学家和 ML 工程师协作，将模型集成到可扩展的后端系统中开发 API、后端服务与实时数据管道，实现智能功能落地设计直观、高性能的前端界面，将 AI 洞察传递给用户主导完整开发生命周期：架构设计、测试、部署与监控与产品、设计、工程团队合作，交付完整、精致的端到端解决方案持续优化 AI 产品的性能、可用性与稳定性如果你具备以下特质，你将非常适合这个岗位以结果为导向，在意的是影响而不仅仅是代码行数能从头到尾解决问题，从数据到系统到用户体验全链路思考快速构建并更快迭代，V1 先上线再优化胜过等待完美擅长在混乱中推进项目，善于应对模糊、变化与资源紧张拥有创业者心态——不等安排，自我驱动，敢于探索学习力强，不断尝试新工具、新框架，从失败中快速成长虚心学习，也乐于带动他人一起进步带来能量、清晰和执行力，提升团队整体水平任职要求计算机科学、软件工程或相关技术专业本科及以上学历必须具备熟练的 Python 技能2 - 4 年前后端结合的全栈开发经验熟练掌握 JavaScript（包括 Node.js、React 或相关框架）有将 ML 模型集成到线上系统中的实战经验熟悉 REST API、云部署与可扩展系统架构熟练使用 SQL / NoSQL 数据库与分布式系统熟悉软件设计模式、测试与调试流程常驻中国，能适应与国际团队的远程协作加分项有使用 FastAPI、Flask 或 TensorFlow Serving 部署 ML 模型的经验熟悉现代前端技术栈如 Next.js、Vue、TypeScript 等接触过 MLflow、Airflow、Docker、GCP 或 AWS 等工具有初创公司或敏捷产品团队的工作经验对可解释性 AI、可视化呈现或复杂模型输出的前端展示感兴趣你将获得具有竞争力的薪资与绩效奖金完全远程办公，灵活安排，覆盖中国任意地区高影响力与高主导权的技术角色，直接参与核心产品构建扁平化团队结构 - 你的想法被听见，你的代码被看见快速成长路径，横跨工程、数据与产品的可见度跨区域协作机会，深度参与东南亚多个市场的产品开发关于 BJAKBJAK 是东南亚最大的数字保险平台，总部设在马来西亚，业务遍布泰国、台湾与日本。我们通过智能 AI 系统帮助数百万用户获得更可负担的金融保障。我们的产品通过自动化、推荐引擎与智能 API，简化复杂的金融流程，让服务变得更可访问、更透明、更公平。如果你期待通过全栈工程能力让 AI 真正“落地可用”，并希望在一个高速成长、充满主导权的环境中发光发热——欢迎加入 BJAK！------------------------------------------------------------------------------------📍 Working arrangement: China (Remote - work from anywhere in China)Build Intelligent Systems from Model to UI - and Everything in BetweenAt BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands.This is a remote role based in China, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.Why This Role MattersYou’ll be the critical link between AI models and user-facing experiencesYour work will shape how millions of people interact with smart financial servicesYou’ll architect and deliver full-stack systems that combine backend, ML, and frontend layersYou’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everythingWhat You’ll DoBuild and deploy full-stack applications that incorporate ML modelsWork with data scientists and ML engineers to integrate models into scalable backend systemsDevelop APIs, backend services, and real-time data pipelines for intelligent featuresDesign clean, performant, and intuitive UIs that surface AI insights to usersOwn the full development lifecycle - from architecture and testing to deployment and monitoringCollaborate with product, design, and engineering teams to ship polished, end-to-end solutionsContinuously improve the performance, usability, and reliability of AI-integrated applicationsYou’ll Thrive Here If You...Own the outcome, you care about impact, not just lines of codeSolve problems end-to-end, from data and systems to UI and user flowBuild fast and iterate even faster, V1 out now beats V3 somedayMove forward even in chaos, ambiguity, shifting priorities, and lean resources excite youThink like a founder - you don’t wait to be told, you figure it out and shipLearn aggressively, new tools, frameworks, and failures fuel your growthHave the humility to learn from others and the drive to help them growBring energy, clarity, and execution - and raise the bar for your team every dayRequirementsBachelor’s degree in Computer Science, Software Engineering, or related fieldStrong proficiency in Python is a must2 - 4 years of experience in full stack development (frontend + backend)Strong programming skills in JavaScript (Node.js, React, or similar)Experience integrating ML models into production systemsFamiliarity with REST APIs, cloud deployment, and scalable architectureComfortable working with SQL/NoSQL databases and distributed systemsStrong grasp of software design patterns, testing, and debuggingMust be based in China and open to remote collaboration with international teamsNice to HaveExperience deploying ML models using tools like FastAPI, Flask, or TensorFlow ServingFamiliarity with modern frontend stacks like Next.js, Vue, or TypeScriptExposure to ML tools like MLflow, Airflow, Docker, GCP, or AWSBackground in high-growth startups or agile product teamsInterest in explainable AI, visualizations, or surfacing complex ML outputs to end usersWhat You’ll GetCompetitive salary and performance-based bonusesRemote-first setup with flexibility to work from anywhere in ChinaHigh-impact, high-ownership role in a product-led AI companyFlat structure - your ideas are valued, and your code is seenFast-track growth with real visibility across engineering, data, and productRegional exposure across Southeast Asia and the chance to shape products at scaleAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair.If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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📍 工作安排：中国（远程办公 - 可在全国任何地方工作）构建引领东南亚金融普惠未来的 AI 系统在 BJAK，我们致力于用人工智能解决真正有意义的问题——从欺诈检测、风险建模，到高度个性化的金融体验，让保险与金融服务变得更易获取、更易理解、更易承担。我们正在寻找一位创始AI 技术负责人（Founding Lead AI Engineer），常驻中国，加入我们打造下一代智能系统的核心团队。这个岗位将结合深厚的技术能力与团队领导力，直接汇报给我们的 AI 负责人。你将亲自编写生产级代码、制定技术战略、辅导团队成员，并推动我们建设一支高效、精干、世界级的 AI 工程团队。为什么这个岗位重要你将设计并部署面向数百万用户的核心 AI 系统你将作为 AI 负责人的左膀右臂，推进技术执行与工程标准你将带领和指导初中级工程师，提升团队整体技术能力你将在招聘和扩建高绩效 AI 团队中发挥关键作用你将负责的工作设计、构建并交付生产级机器学习模型，聚焦高价值业务场景负责模型架构、数据管道设计与部署策略的制定与产品、工程、数据团队紧密协作，推动 AI 项目落地全程主导 ML 生命周期：数据准备、训练、部署与监控参与代码审查、项目指导，并协助解决技术难题推动实验精神、持续学习与最佳实践的落地参与面试及技术评估，助力团队扩张与人才选拔跟踪 AI/ML 领域的前沿技术，并将创新落地到生产环境如果你具备以下特质，你将非常适合这个岗位以身作则 - 不仅写代码，更带动团队一起成长拥有主人翁思维 - 遇到问题主动出手解决，不等命令快速且深入 - 在权衡取舍中做出高效且明智的技术决策混乱中推导清晰 - 善于建立结构，明确方向，推动执行注重落地成果 - 聚焦现实问题的解决，而非学术追求热爱带人 - 享受辅导他人成长，看到团队成员取得进步快速适应变化 - 能应对不确定性与优先级频繁调整拥有 Builder 心态 - 快速原型、快速试错、快速迭代不断学习 - 技术、产品、管理全面成长，从不设限任职要求计算机科学、工程或相关领域的本科或硕士学历必须具备熟练的 Python 技能4-6 年 AI/机器学习工程经验，有真实场景的模型部署经验深入理解并熟练应用 ML 框架（如 TensorFlow、PyTorch、Scikit-learn）熟悉完整的 ML 生命周期，包括数据管道、训练、验证与监控有推荐系统、欺诈检测、风险建模、自然语言处理等实际项目经验有技术领导经历，能够有效辅导工程师并带领团队完成任务出色的沟通能力与跨团队协作能力常驻中国，并可远程与区域团队进行日常合作加分项有使用 MLOps 工具经验（如 MLflow、Airflow、Docker、GCP/AWS 等）熟悉 Responsible AI 实践（公平性、可解释性、模型治理等）有初创或高速扩张型公司工作经验有构建内部工具、可复用 ML 组件或 AI 平台的经验你将获得有竞争力的薪资与绩效奖金完全远程、灵活的办公制度（中国境内不限地点）高度自主权，影响力覆盖整个区域市场直接向 AI 负责人汇报，并参与公司高层技术讨论领导并塑造一支正在快速成长的 AI 工程团队快速的职业发展路径与学习机会扁平高效的协作文化，好点子快速落地，优秀工作被看见关于 BJAKBJAK 是东南亚最大的数字保险平台，服务数百万用户，致力于提供透明、可负担的金融保障。总部位于马来西亚，业务覆盖泰国、台湾、日本。我们正构建 AI 驱动的系统，让复杂的金融服务变得更易用、更快速、更公平。我们的技术以用户为中心，快速响应业务需求 - 无论是个性化定价引擎、智能自动化还是欺诈检测系统，BJAK 始终致力于用 AI 改善金融体验。如果你希望构建、领导并扩展真正有价值的 AI 系统，期待在一个思维大胆、节奏迅速的团队中快速成长，欢迎你加入我们！------------------------------------------------------------------------------------📍 Working Arrangement: China (Remote - work from anywhere in China)Shape AI That Powers the Future of Financial Access Across Southeast AsiaAt BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in China to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.Why This Role MattersYou’ll design and deploy core AI systems that serve millions across the regionYou’ll be the right hand to the Head of AI — driving technical execution and engineering standardsYou’ll lead and mentor junior engineers to elevate team performance and capabilitiesYou’ll play a critical role in hiring and scaling a high-performance AI teamWhat You’ll DoDesign, build, and ship production-grade ML models for high-impact use casesLead model architecture, data pipeline design, and deployment strategiesCollaborate across product, engineering, and data teams to drive AI initiativesOwn the end-to-end ML lifecycle — from data prep to deployment and monitoringReview code, guide projects, and mentor engineers through technical challengesChampion experimentation, continuous learning, and AI best practicesInterview and evaluate candidates, contributing to technical hiring and team buildingStay ahead of ML advancements — and bring cutting-edge solutions into productionYou’ll Thrive Here If You...Lead from the front — you’re hands-on in code, but always lifting othersThink like an owner — you don’t wait for permission to solve a problemOperate at speed and depth — you make fast, sound decisions that balance trade-offsPush for clarity — even in chaos, you bring structure, direction, and accountabilityCare about what ships — you focus on solving real-world problems, not just academic onesGrow the team, not just the tech — you enjoy mentoring, coaching, and seeing others winAdapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidenceHave a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterateKeep learning — you’re constantly leveling up your technical, product, and leadership gameRequirementsBachelor's or Master’s degree in Computer Science, Engineering, or a related fieldStrong proficiency in Python is a must4–6 years of experience in AI/ML engineering with real-world deployment experienceDeep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoringExperience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)Track record of technical leadership and mentoring engineersExcellent communication and collaboration skillsMust be based in China and open to working remotely with regional teamsNice to HaveExperience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)Familiarity with responsible AI practices (fairness, interpretability, model governance)Startup or scale-up environment experienceExposure to building internal tools, reusable ML components, or AI platformsWhat You’ll GetCompetitive salary and performance-based bonusesFully remote and flexible work arrangement from anywhere in ChinaHigh ownership role with impact visible at a regional scaleDirect reporting line to Head of AI with exposure to senior leadershipOpportunity to lead and shape a growing AI engineering teamFast-track career growth and learning opportunities in a high-speed environmentCollaborative, flat culture where ideas move fast and great work gets noticedAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair.We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia.If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.Job BriefJoin AirOps as our Growth Marketing Lead and take charge of scaling the channels that power our next phase of growth. Your north star: increase qualified opportunities generated via scalable channels.In this role, you’ll own strategy and execution across Google and LinkedIn Ads, while expanding into emerging plays across paid social, influencer partnerships, and email marketing. You’ll also have room for big swings—new growth initiatives and productized plays that can move the needle with our target audience.You’ll drive campaigns that convert, experiment rapidly to unlock new opportunities, and build the attribution foundation that helps us double down on what works. You’ll collaborate closely with sales, content, and product marketing to ensure every dollar spent contributes to measurable pipeline and brand visibility.This is a hands-on role for a growth-minded operator who’s fluent in the language of data, creative testing, and GTM alignment—and who thrives in a high-growth, fast-paced environment.ResponsibilitiesChannel Ownership & Execution: Own and scale Google Ads and LinkedIn Ads as core demand engines. Expand our playbook across other high-leverage channels including paid social, influencer, and email.Campaign Management: Design and manage end-to-end growth campaigns—from audience targeting and creative testing to landing page optimization and budget pacing.Big Swings: Identify, design, and execute high-impact growth bets that combine productized plays with strong distribution to hit our audience with precision.AI-First Approach: Build the new playbook for modern growth marketing. Develop AI-native systems, tools, and processes that reflect what best-in-class will look like in 2030, not 2020.Attribution & Analytics: Own reporting and attribution across all growth channels. Use tools like Looker, HubSpot, or HockeyStack to connect activity to pipeline and revenue.Experimentation & Optimization: Lead a constant test-and-learn cadence across messaging, offers, creative, and channels. Bring a growth mindset to every campaign.ABM Support: Partner with sales and field marketing to integrate growth levers into multi-channel ABM campaigns that drive high-quality opportunities.Collaboration & Alignment: Work cross-functionally with sales, GTM, and content teams to align on campaign priorities, share learnings, and inform strategy.Qualifications5+ years of experience in growth, demand generation, or performance marketing roles—ideally in B2B SaaS or a high-growth environmentHands-on expertise managing and optimizing campaigns in Google Ads and LinkedIn AdsProven track record running experiments and driving measurable impact across digital channelsExperience with attribution and analytics tools like Looker, HubSpot, or HockeyStackStrong analytical mindset and comfort with data storytelling to cross-functional stakeholdersFamiliarity with account-based marketing and integrating growth tactics into broader campaignsExcellent project management and collaboration skillsResourceful, scrappy, and excited to build and scale new systems in a fast-paced, dynamic environmentOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As a Design Engineer focused on Electronics, you will create innovative concepts for the mechanical integration of electronic boards, connectors, and harnesses, ensuring their proper form, fit, and function. Your expertise will be vital in realising robust, scalable, and cost-effective solutions that enhance the performance of Helsing's systems, directly supporting our mission to provide advanced defence capabilities. The day-to-day Own the mechanical design and integration of electronic parts and full assemblies for current and future complex drone products Create design and integration concepts for electronic boards, connectors and harness under consideration of comprehensive requirements sets Create 3D and 2D documents and ensure proper form, fit, function of components by using analytical and simulation tools Apply latest design and drawing standards, including consideration of manufacturing aspects Realise robust, scalable and cost-effective components Define and perform validation tests for technical maturation Create comprehensive design documentation and under consideration of company guidelines and quality standards You should apply if you Have professional working experience in the field of mechanical and electrical design of aerospace structures or similar applications Possess outstanding hands-on experience in using 3D/2D CAD and PLM tools, preferably with Solidworks/PDM or Siemens NX/Teamcenter Have strong knowledge of electronic component integration, preferably in using ECAD/MCAD interfaces for component realization Can perform hand calculations and setup simulations for component validation Have proven knowledge of ASME/ISO drawing standards, mechanical design standards and analysis capabilities for mechanical elements Communicate excellently in English, both written and verbal Are keen on fast track developments and realisations Enjoy working in a highly flexible environment Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As a Senior Design Engineer, you will lead the creation of complete 3D and 2D design documentation, manage requirements, and oversee the integration of mechanical and electronic components. Your expertise will be crucial in developing robust, scalable, and cost-effective solutions, ensuring Helsing's technological superiority and upholding our mission to safeguard democratic values. The day-to-day Lead the mechanical design of current and future complex drone products, including the creation of complete 3D and 2D documents for parts and assemblies Ensure optimal integration of mechanical and electronic components using ECAD/MCAD tool capabilities Develop and implement relevant workflows to ensure traceability throughout the full product lifecycle Assess, cascade and define design requirements on all product levels and take care of full traceability throughout the V&V process Perform risk assessments as well as initiate and lead mitigation activities Take care of all design safety aspects and deliver comprehensive assessments (e.g. DFMEA, FHA) Ensure application of relevant standards for the design definition, materials, manufacturing and drawing generation Ensure design effectiveness regarding costs, scalability and robustness Create comprehensive design documentation and guidelines Strictly adhere to industry and quality standards You should apply if you Have professional working experience in the field of mechanical design of aerospace structures or similar applications Possess expert hands-on experience in using 3D/2D CAD and PLM tools, preferably with Solidworks/PDM or Siemens NX/Teamcenter; ECAD/MCAD knowledge appreciated Have strong knowledge of ASME/ISO drawing standards, mechanical design standards and analysis capabilities for mechanical elements Have experience in working with requirement management tools (a plus) Can prove ability to act as an interface to key customers, including managing technical assessments and negotiations Communicate excellently in English, both written and verbal Are keen on fast-track developments and realisations Enjoy working in a highly flexible environment Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe   Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleThis role is about ensuring that the various coding agents that operate on our codebase are as effective as possible. You will be improving context, running evals, investigating trajectories, adding additional agents, improving development process, and generally being the manager of coding agents in Basis. Learn more about the Atlas team broadly hereWhat we look forAI native: Is a power user of AI for coding, personal work etc. Agent experience: This is not at all a requirement, but definitely a plus to have some experience building or working with agentsBusiness context: Quickly pick up context of business use case and can hold this context in mind as working through systemProject owner: Own projects from start to finish, including managing many dependenciesClear communicator: Precise and thoughtful communicator who can break complex concepts down to their fundamental elementsSystems-thinker: See how all the pieces fit together and develop abstractions to scaleInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scalePassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious: Love to play with new ideas/techOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleThis role is about building internal agents to make Basis the first truly agent-native company. This will involve agent building, context engineering, building processes etc. Read a lot more about what the Atlas team does here.What we look forAI native: Is a power user of AI for coding, personal work etc. Agent experience: This is not at all a requirement, but definitely a plus to have some experience building or working with agentsBusiness context: Quickly pick up context of business use case and can hold this context in mind as working through systemProject owner: Own projects from start to finish, including managing many dependenciesClear communicator: Precise and thoughtful communicator who can break complex concepts down to their fundamental elementsSystems-thinker: See how all the pieces fit together and develop abstractions to scaleInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scalePassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious: Love to play with new ideas/techOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $100,000–$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Please Note: This is a part-time independent contractor position available within Canada only. We seek candidates who are able to commit to 16 hours per week at a CAD $40/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada is permitted. Performance incentives included!As an AI Data Trainer, you will:Label and Rank: Accurately label and rank machine learning data, with a focus on code-related content.Audit and Correct: Complete reading or coding-based tasks in an efficient and attentive manner.Perform Preference-Based Tasks: Evaluate and complete tasks, assessing which responses best conform to project guidelines.Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in coding tasks.Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members, particularly on coding-related matters.Have Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks, particularly when working with language data.You may be a good fit if you have:Subject matter expertise in software engineering - you have both studied in these fields and have practical experience applying them in a workplace.Proficient knowledge and understanding in either Python or JavaScript.Proficient knowledge in SQL (any dialect).Familiarity with bash/scripting, or another object-oriented language (C++/Java/Go/TypeScript) is a plus.Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails!High tolerance for repetitive and monotonous work.Ability to follow complex instructions, navigate ambiguity and work independently.Superb sense of urgency and time management.Curiosity about technology and a knack for tackling problems in creative ways.A reliable laptop and internet connection.The Candidate Journey: Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples. Coding Assessment - You will receive a HackerRank coding assessment. Video Interview - If selected to move forward, you will have a short video call with a member of our Operations Team! Offer - Independent Contractor AgreementAs an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships. This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives. Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth. Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization. Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences. Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI. Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making. Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies. Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth. Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness. Qualifications Have 6-8+ years of experience working as a data scientist or related role with growth focus. Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization. Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker). Have experience designing, implementing, and analyzing A/B tests and statistical experimentation. Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration. Have experience with data modeling and pipeline development (e.g., dbt, Airflow). Preferred Qualifications Previous experience at a high-growth startup or early-stage company in a growth-focused data science role. Hands-on experience with dbt and data engineering/analytics engineering. Experience with Snowflake and modern data stack tools. Are comfortable with Python for data analysis and automation. Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems). Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks. The cash compensation range for this role is $200,000 - $270,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholdersPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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Company OverviewAt Articul8 AI, we're building the next generation of resilient, scalable software systems that help organizations transform their operations. Our commitment to quality and reliability drives our engineering culture, where we continuously test and improve our systems under real-world conditions.Why Join Articul8 AI?Make an Impact: Shape the resilience and reliability of AI-driven systems at scale.Build with Modern Tech: Leverage cutting-edge tools and platforms (Multi-cloud, AI-first tooling).Ownership & Growth: Take ownership of chaos engineering initiatives and influence engineering culture across teams.Continuous Learning: Collaborate with top engineers, participate in mentoring, and stay ahead in chaos engineering and SRE practices.Position SummaryWe are seeking a Senior SDET specializing in chaos engineering and monitoring to join our Quality Engineering team. You will design and implement sophisticated test automation frameworks, create and run chaos experiments to validate our systems' resilience against real-world failures, while ensuring comprehensive monitoring capabilities that provide actionable insights during both testing and production scenarios.Key ResponsibilitiesDesign, develop, and maintain advanced test automation frameworks that incorporate chaos engineering principlesCreate and execute chaos experiments that simulate various failure modes and edge cases in our distributed systemsImplement monitoring solutions that effectively track system performance, resilience, and failure recoveryEstablish observability practices that provide deep insights into system behavior during chaos experimentsCollaborate with development teams to build resilience into our applications from the ground upDevelop metrics and dashboards to visualize system reliability and the impact of chaos experimentsLead post-mortem analyses to identify system weaknesses discovered through chaos testingIntegrate chaos testing into CI/CD pipelines to validate system resilience continuouslyMentor engineers through code reviews, technical sessions, and hands-on guidance in test automation, chaos engineering, and monitoring best practices.Contribute to the company's overall testing strategy and quality assurance practicesQualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field5+ years of experience in software testing and quality assurance, with at least 2 years focused on chaos engineeringStrong programming skills in languages such as Python, Go, and/or RustExperience with chaos engineering tools such as Chaos Monkey, Gremlin, or similar frameworksIn-depth knowledge of monitoring systems like Prometheus, Grafana, ELK Stack, or similar toolsExperience implementing observability practices (metrics, logging, tracing) in distributed systemsFamiliarity with container orchestration platforms like Kubernetes and related chaos toolsExperience with SRE practices and principlesStrong understanding of CI/CD pipelines and how to integrate testing workflowsExperience with cloud platforms (AWS, GCP, Azure) and their monitoring capabilitiesExcellent communication skills with the ability to present technical findings to various stakeholdersPreferredMaster’s degree in Computer Science, Engineering, or related fieldKnowledge of statistical analysis for evaluating test results and system performanceExperience with distributed systems and microservice architecturesContributions to open-source testing or chaos engineering projectsFamiliarity with AI/ML systems and their unique testing challengesRelevant certifications in cloud platforms, testing methodologies, or chaos engineeringReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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About UsArticul8 AI is at the forefront of Generative AI innovation, delivering cutting-edge SaaS products that transform how businesses operate. Our platform empowers organizations to leverage the power of artificial intelligence in a reliable, scalable, and secure environment.Position OverviewWe are seeking an experienced Site Reliability Engineer (SRE) to join our team and help ensure the reliability, performance, and scalability of our GenAI SaaS platform. As an SRE, you will bridge the gap between development and operations, implementing automation and best practices to maintain our service reliability objectives while supporting rapid innovation.Key ResponsibilitiesArchitect and maintain scalable, highly available infrastructure for our GenAI platform.Design and implement robust monitoring, alerting, and observability solutions to proactively ensure system health and performance.Automate deployment, scaling, and management of our cloud-native infrastructure, reducing toil and improving efficiency.Define, measure, and improve Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to deliver outstanding service quality.Participate in on-call rotations and provide rapid response to production incidents, minimizing downtime and user impact.Collaborate closely with development teams to build reliable, scalable, and efficient systems for complex AI workloads.Lead incident response efforts, conduct thorough post-mortems, and champion continuous improvement initiatives.Optimize infrastructure for performance, scalability, and cost-effectiveness—especially for high-demand AI workloads.Implement and enforce security best practices across all systems and environments.Create and maintain comprehensive documentation, including runbooks and knowledge base articles, to foster a culture of shared knowledge.QualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience5+ years of experience in DevOps, SRE, or similar rolesStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in at least one programming/scripting language (Python, Go, Bash, etc.)Hands-on experience with infrastructure as code tools (Terraform, CloudFormation, etc.)Solid background in containerization technologies (Docker, Kubernetes)Proven experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)Strong understanding of CI/CD pipelines and automationExceptional troubleshooting and problem-solving skills and ability to troubleshoot complex systemsPreferredExperience supporting AI/ML systems in productionKnowledge of GPU infrastructure management and optimizationFamiliarity with distributed systems and high-performance computingExperience with database systems (SQL and NoSQL)Certifications in cloud platforms (AWS, GCP, Azure)Experience with chaos engineering and resilience testingKnowledge of security best practices and compliance requirementsReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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About UsArticul8 AI is at the forefront of Generative AI innovation, delivering cutting-edge SaaS products that transform how businesses operate. Our platform empowers organizations to leverage the power of artificial intelligence in a reliable, scalable, and secure environment.Position OverviewWe are seeking an experienced Site Reliability Engineer (SRE) to join our team and help ensure the reliability, performance, and scalability of our GenAI SaaS platform. As an SRE, you will bridge the gap between development and operations, implementing automation and best practices to maintain our service reliability objectives while supporting rapid innovation.Key ResponsibilitiesArchitect and maintain scalable, highly available infrastructure for our GenAI platform.Design and implement robust monitoring, alerting, and observability solutions to proactively ensure system health and performance.Automate deployment, scaling, and management of our cloud-native infrastructure, reducing toil and improving efficiency.Define, measure, and improve Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to deliver outstanding service quality.Participate in on-call rotations and provide rapid response to production incidents, minimizing downtime and user impact.Collaborate closely with development teams to build reliable, scalable, and efficient systems for complex AI workloads.Lead incident response efforts, conduct thorough post-mortems, and champion continuous improvement initiatives.Optimize infrastructure for performance, scalability, and cost-effectiveness—especially for high-demand AI workloads.Implement and enforce security best practices across all systems and environments.Create and maintain comprehensive documentation, including runbooks and knowledge base articles, to foster a culture of shared knowledge.QualificationsRequiredBachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience5+ years of experience in DevOps, SRE, or similar rolesStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in at least one programming/scripting language (Python, Go, Bash, etc.)Hands-on experience with infrastructure as code tools (Terraform, CloudFormation, etc.)Solid background in containerization technologies (Docker, Kubernetes)Proven experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)Strong understanding of CI/CD pipelines and automationExceptional troubleshooting and problem-solving skills and ability to troubleshoot complex systemsPreferredExperience supporting AI/ML systems in productionKnowledge of GPU infrastructure management and optimizationFamiliarity with distributed systems and high-performance computingExperience with database systems (SQL and NoSQL)Certifications in cloud platforms (AWS, GCP, Azure)Experience with chaos engineering and resilience testingKnowledge of security best practices and compliance requirementsReady to shape the future of resilient software systems? Apply now and help drive the reliability of tomorrow’s AI at Articul8 AI!

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking an experienced design leader to define the future of our AI Products suite, transforming how businesses leverage AI. You'll lead the design of breakthrough AI experiences including personal research agents, AI-powered content creation tools, our enterprise intelligence platform, and 0→1 AI-native products. This role requires deep expertise in LLM system architecture and strong opinions about what makes exceptional enterprise AI user experiences. As Product Design Lead for AI Products, you'll join an experienced, tight-knit, and collaborative group who love combining research, data, and intuition into user-centered design. You'll have an outsized impact on how knowledge workers interact with AI daily, shaping experiences that fundamentally transform how companies access knowledge, create content, and make decisions. You will: Lead AI Products design strategy owning Glean's AI suite including research agents that retrieve and synthesize information, creation tools for AI-generated artifacts, and our enterprise intelligence platform that mines organizational knowledge. Translate LLM complexity into intuitive UX developing deep expertise in model capabilities and constraints, creating understandable, trustworthy experiences that build appropriate mental models. Create AI-powered research and creation experiences enabling employees to generate documents, presentations, and visualizations that are grounded in company data, follow brand guidelines, and maintain accuracy through intelligent citations. Create AI-powered research and creation experiences that synthesize cross-functional data, write documents, make presentations, and output visualizations that are grounded in company data, follow organizational guidelines, and maintain accuracy through intelligent citations. Drive 0→1 product innovation systematically identifying opportunities for AI-native products, rapidly prototyping breakthrough experiences, and scaling solutions that deliver step-changes in productivity Partner with product and engineering leaders to shape product capabilities, understanding technical constraints while pushing boundaries of what's possible in enterprise AI Guide team excellence, mentoring 3-4 senior designers while establishing clear design principles, incorporating user research to understand AI adoption patterns, and ensuring designs drive measurable outcomes About you: Experience: 10+ years in product design, including 3+ years designing AI/ML products, preferably LLM-based applications. AI expertise: Deep hands-on experience with LLM systems, translating system capabilities into intuitive, user-friendly enterprise products. Technical fluency: Strong background enabling detailed discussions about AI architecture, model capabilities, and implementation tradeoffs with engineering teams. Portfolio: Examples leading the design of sophisticated AI products at scale, ideally including agent-based systems, content generation tools, or intelligence platforms Leadership & impact: Track record of shipping successful AI products with measurable impact on user productivity and satisfaction, while guiding and mentoring other designers Location: This role is hybrid (4 days a week in our Palo Alto or San Francisco office, with periodic travel expected between the two) Compensation & Benefits: The standard base salary range for this position is $235,000 - $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID