Find AI Work That Works for You

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<This Is a Remote in the UK> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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언어 모델을 현실 세계의 애플리케이션으로 전환하기우리는 전 세계 사용자를 위한 AI 시스템을 구축하고 있습니다. 지금은 AI 전환의 시대이며, 이 새로운 프로젝트 팀은 현실 세계에서 더 큰 영향력과 글로벌 활용성을 실현하는 애플리케이션 개발에 집중하고 있습니다.이 포지션은 글로벌 역할이며, 유연한 원격 근무와 본사 오피스 협업을 결합한 하이브리드 근무 방식을 채택합니다. 제품, 엔지니어링, 운영, 인프라, 데이터 등 각 지역 팀과 긴밀히 협력하여 영향력 있는 AI 솔루션을 개발하고 확장하게 됩니다.이 역할이 중요한 이유최신 모델을 파인튜닝하고, 평가 프레임워크를 설계하며, AI 기능을 실제 서비스 환경에 도입합니다. 당신의 업무는 모델이 단순히 지능적일 뿐만 아니라, 안전하고 신뢰할 수 있으며, 대규모 환경에서 효과적으로 작동하도록 보장합니다.주요 업무파인튜닝 및 최적화 —— LoRA/QLoRA를 사용하여 LLaMA, Mistral, Gemma 등 오픈소스 모델 최적화프롬프트 엔지니어링 및 데이터 설계 —— 브랜드 보이스, 톤, 안전성을 반영하는 프롬프트와 데이터셋 제작모델 평가 —— Perplexity, Toxicity, Relevance 등의 지표 파이프라인을 구축해 안전하고 고품질의 출력 보장배포 및 모니터링 —— 모델을 프로덕션 환경에 스케일링하고 성능 최적화 및 드리프트 모니터링 수행협업 및 제공 —— 제품, 엔지니어링, 디자인 팀과 협력하여 사용자 지향적인 AI 기능 출시이런 분을 찾습니다주도성과 독립성을 중시하는 분“명확함은 실행에서 나온다”는 믿음을 가지고, 완벽한 계획을 기다리기보다 프로토타입·테스트·반복을 통해 실행하는 분스타트업 환경의 혼란 속에서도 침착하고 효과적으로 일할 수 있는 분 —— 우선순위 변화나 제로 베이스 구축도 두려워하지 않는 분속도 지향적으로, 완벽한 결과보다 지금 가치 있는 무언가를 전달하는 것을 중요하게 여기는 분피드백과 실패를 성장의 일부로 보고, 지속적으로 실력을 발전시키려는 분겸손함, 배움에 대한 열정, 실행력을 가지고 있으며, 동료들과 함께 성장하는 분자격 요건Transformers, 딥러닝, 파인튜닝 기법(LoRA/QLoRA, SFT, 지식 증류 등)에 대한 풍부한 경험PyTorch 숙련 (우대) 또는 TensorFlow 경험프롬프트 엔지니어링 및 데이터셋 설계 능력 (톤, 안전성, 신뢰성과 일치)평가 지표(Perplexity, Toxicity, Relevance)에 대한 이해알고리즘, 자료구조, 클린 코드 등 소프트웨어 엔지니어링 기초에 대한 탄탄한 기반우대 사항텍스트 생성, 콘텐츠 모더레이션, 개인화 관련 경험RLHF(인간 피드백 강화학습) 또는 LLM 강화학습 경험오픈소스 머신러닝 프로젝트 기여 경험혜택 및 보상수평적 조직 구조와 진정한 오너십제품 방향성과 합의 기반 의사결정에 전면적으로 참여유연한 근무 형태제품, 데이터, 엔지니어링 전반에 걸쳐 높은 영향력을 가지는 역할업계 최고 수준의 보상 및 성과 기반 보너스글로벌 제품 개발에 참여할 기회다양한 복지 —— 주택 임대 보조, 우수한 회사 구내식당, 야근 식사 제공건강, 치과, 안과 보험본인 및 가족을 위한 글로벌 여행 보험무제한·유연한 휴가 제도팀과 문화우리는 고밀도·고성과 팀으로, 고품질의 업무와 글로벌 임팩트에 집중합니다. 우리는 주인의식으로 행동하며, 속도, 명확함, 끊임없는 책임감을 중시합니다. 성장 욕구가 크고, 탁월함을 진심으로 추구하는 분이라면 함께 하기를 기대합니다.회사 소개: BJAKBJAK은 동남아시아 최대의 보험 비교 플랫폼으로, 800만 명 이상의 사용자를 보유하고 있으며, 직원이 100% 지분을 소유한 회사입니다. 본사는 말레이시아에 있으며, 태국, 대만, 일본에서도 운영되고 있습니다.우리는 Bjak.com을 통해 수백만 명의 사용자에게 투명하고 합리적인 금융 보호를 제공합니다. 또한, API, 자동화, AI 등 최첨단 기술을 활용해 복잡한 금융 상품을 단순화하고, 차세대 지능형 금융 시스템을 구축하고 있습니다.현실 세계에 영향을 미치는 AI 시스템을 구축하고, 임팩트 있는 환경에서 빠르게 성장하고 싶다면, 지금 바로 지원하세요!---------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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将语言模型转化为现实应用我们正在为全球用户构建 AI 系统。当前正处于 AI 转型的时代 —— 本项目团队将专注于构建能够实现更大现实世界影响和广泛使用的 AI 应用。这是一个全球性岗位，采用混合办公模式 —— 灵活的远程办公与总部现场协作相结合。你将与产品、工程、运营、基础设施和数据等地区团队紧密合作，共同构建并扩展具有影响力的 AI 解决方案。为什么这个职位重要你将对最前沿的模型进行微调、设计评估框架，并推动 AI 功能上线至生产环境。你的工作将确保我们的模型不仅智能，还具备安全性、可信度，并能够大规模产生影响。你的职责模型微调与优化 — 使用 LoRA/QLoRA 优化开源模型（如 LLaMA、Mistral、Gemma）提示工程与数据构建 — 设计体现品牌语气、语调和安全性的提示词与数据集模型评估 — 构建困惑度、毒性、相关性等指标评估流程，确保输出质量与安全性部署与监控 — 将模型部署至生产环境，进行性能优化与偏移监控协作交付 — 与产品、工程与设计团队协作，共同推出面向用户的 AI 功能你是这样的人喜欢独立拥有项目主导权相信“清晰来自于行动” — 擅长快速原型、测试与迭代，而非等待完美计划在创业混乱环境中保持冷静与执行力 —— 面对变化优先级和从零开始的挑战能快速适应崇尚速度优先 — 认为“及时交付有价值的成果”比“完美但延迟交付”更重要将反馈和失败视为成长的一部分 —— 期待通过挑战不断升级自身能力拥有谦逊、进取与实干精神，同时愿意帮助他人成长任职要求在 Transformers、深度学习和微调方法（如 LoRA/QLoRA、SFT、蒸馏）方面有丰富经验熟练掌握 PyTorch（优先）或 TensorFlow精通提示工程与数据集构建，能确保内容与语气、安全性、可信度一致熟悉各类评估指标，如困惑度、毒性、相关性具备良好的软件工程基础，包括算法、数据结构和规范代码实践加分项有文本生成、内容审核或个性化推荐的相关经验有使用 RLHF（人类反馈强化学习）或 LLM 强化学习经验有参与开源机器学习项目的经历你将获得扁平化结构与真正的项目所有权全面参与产品方向与共识式决策灵活的办公方式高影响力岗位，覆盖产品、数据与工程团队市场顶尖的薪酬方案与绩效奖金全球化产品开发视野丰厚福利 —— 住房租赁补贴、高质量公司餐厅、加班餐补健康、牙科与视力保险全球旅行保险（适用于你和家属）无限制、灵活的休假制度团队与文化我们是一支高密度、高绩效的团队，专注于高质量成果与全球影响。我们像主人一样思考与行动，重视速度、清晰与持续的责任感。如果你渴望成长、追求卓越，我们欢迎你加入。关于 BJAKBJAK 是东南亚最大的保险聚合平台，拥有超 800 万用户，且公司完全由员工持股。总部设在马来西亚，并在泰国、台湾和日本开展业务。通过 Bjak.com，我们帮助数百万用户获得透明且可负担的金融保障。我们通过 API、自动化和 AI 等尖端技术，简化复杂的金融产品，致力于构建下一代智能金融系统。如果你渴望构建现实世界的 AI 系统，并在高影响力的环境中快速成长，欢迎加入我们！---------------------------------------------------------------Transform Language Models into Real-World ApplicationsWe’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.Why This Role MattersYou’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.What You’ll DoFine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.What Is It LikeLikes ownership and independenceBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plans.Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you.Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later.See feedback and failure as part of growth - you’re here to level up.Possess humility, hunger, and hustle, and lift others up as you go.RequirementsStrong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).Proficiency with PyTorch (preferred) or TensorFlow.Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.Familiar with evaluation metrics: perplexity, toxicity, relevance.Strong software engineering foundations in algorithms, data structures, and clean code practices.Nice to HavePrior work in text generation, moderation, or personalization.Experience with RLHF or reinforcement learning in LLMs.Contributions to open-source ML projects.What You’ll GetFlat structure & real ownershipFull involvement in direction and consensus decision makingFlexibility in work arrangementHigh-impact role with visibility across product, data, and engineeringTop-of-market compensation and performance-based bonusesGlobal exposure to product developmentLots of perks - housing rental subsidies, a quality company cafeteria, and overtime mealsHealth, dental & vision insuranceGlobal travel insurance (for you & your dependents)Unlimited, flexible time offOur Team & CultureWe’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.About BjakBJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

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<This Is a Remote Role> About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we’re looking forYou’re a builder who thrives at the frontier of AI agents, customer experience, and e-commerce.We’re looking for someone who can own critical domains in our AI agent ecosystem. You’ll build new capabilities, shape evaluation and QA systems, and collaborate closely with product, design, and leadership to create the infrastructure for the future of e-commerce and CX. You won’t just execute—you’ll bring strong opinions, push back when something isn’t worth building, and help us choose the right bets.You have3+ years of software engineering experience building technical B2B products, ideally in CX, e-commerce, or AI automationAI-native mindset — you already use tools like Claude, Cursor, v0, or ChatGPT daily to build and ship fasterFull-stack fluency — React, TypeScript, Node.js, APIs, integrations, data modelingComfort working directly with clients and solving complex, real-world problems Curiosity and a builder’s DNA — you like figuring things out, not just following specsProduct judgment — you're able to build product with agency and autonomyYou thrive whenBuilding complex systems that blend UX, AI, and integrationsDesigning evaluation and QA processes that make agents continuously improveShipping new capabilities that change how shopping and CX happenJuggling multiple initiatives while keeping the big picture in mindDebating trade-offs, pushing back on requests, and shaping the why behind what we buildWhat you’ll doBuild new agent capabilities end-to-end and make them work seamlessly across platformsTranslate messy customer workflows into elegant product features and deployment opportunitiesDesign and ship evaluation and QA systems that improve agent performance over timeExpand our integrations ecosystem by shipping new platforms and enterprise connectionsOwn platform automation and onboarding to help customers go live in days, not weeksWork across multiple initiatives at once, balancing speed with thoughtful trade-offsPartner with product, design, and leadership to shape what gets built—and what doesn’tWhy Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!📝 Background and Responsibilities:We are building a new team in US to hack and build our next generation smart AI video maker that can ingest user's content and compose quality videos for the social media. This product will be considered impossible before but you make people change their mind.You will be working closely with the product, marketing to rush prototype, beta and the production version of this impossible product using agent technology.Our tech stack: GCP, Typescript, Python, Redis/MongoDB/Cloud Storage, lots of AI models📝 Qualifications:Keywords: ambitious, scrappy, generalist, growth mindset, tasteBachelor's degree or higher in Computer Science or a related field. A total of 5-8 years of experience in software engineering.A strong entrepreneurial or hacker spirit or experience in a rapidly growing startup. Believes that speed is key and quality to follow later. You dare to set ambitious goals and deadlines. And you work hard and smart for it. You enjoy the challenge and treat it like a sport.You resonate with the combat spirit to win, if you've watched the F1 Movie.Fast learner and self-starter as a full-stack engineer. A broad range of tech skills are preferred. Must have both front-end (such as React) and server-side skills (NodeJS, Django etc). Strong product and business sense and can build product based on customers' needs. You love building a product from the ground up. You can solve agent reliability problems using creative methods.Good understanding of software engineering principles and best practices. Good judgement on when to hack and when to craft.Open to work with senior engineers across the Asia time zone, including periodic evening meetings, and excited to work on-site with our teammates in our office.📝 You should NOT join if:You prefer working in a well defined scope where your work is assigned to you instead of you defining your work.You prefer focusing on coding and not worrying about product, design and customers.You don't want to de-value your precious coding skills and think vibe coding will never work.You don't know how to use Cursor or other AI coding tools.You cannot code without Cursor or other AI coding tools.You think scrappiness is all you need and production is the same as prototyping.📝 Preferred:Experience with building AI agents (with dynamic planning capability), including tool call, memory, evaluation systems.Previously built product as individual developer as your side projects.📝 Location (On-site):Palo Alto, CAWe have programs on Sundays to hack & learn that we expect the team to attendEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Meet SienaSiena is the first intelligence layer for customer experience. We're creating an operating system of AI agents that learn, remember, and act across every customer touchpoint—from support conversations to shopping experiences to voice and social media interactions.Siena doesn't just automate support; it powers shopping agents, builds persistent customer memory, generates actionable business insights, and creates empathetic interactions that feel human. We're transforming how businesses understand and connect with their customers, turning every interaction into intelligence that makes the next one better.The teamWe're a small, distributed team that punches way above our weight. Every person here has outsized impact because we've built leverage into everything we do. This philosophy makes us faster and, frankly, more fun to work with.If you're excited about building something that doesn't exist yet, keep reading. We're building agents that don't just respond to customers—they remember them, learn from every interaction, and connect experiences across channels.What we're looking forYou're early in your PM career but hungry to own meaningful product areas at the frontier of AI agents and customer experience.We're looking for someone who can take ownership of defined domains while learning fast from our team. You'll ship capabilities that matter, build systems that scale, and work directly with customers.You have1-3 years product management experience with technical B2B products, ideally CX, e-commerce or AI automationAI-native mindset—you live in Claude, ChatGPT, Cursor and push these tools to their limitsTechnical curiosity—you can scope webhook systems and OAuth flows, even if you don't code themBuilder mentality—you ship features, write docs, run demos, and measure what mattersCustomer confidence—you thrive talking with customers and running product demosYou thrive whenShipping new capabilities that change how customer service worksBuilding systems that automatically improve agent performanceWorking directly with customers to understand their real problemsSeeing features you built get adopted and create customer valueWhat you'll doOwn defined product areas end-to-end while learning our AI agent ecosystem from an elite team.You'll work on expanding our platform capabilities, building evaluation systems, managing integrations, and creating tools that help customers go live faster. You'll run features from internal testing to GA, including customer enablement through webinars and documentation.You'll demo your own products to customers and work alongside sales. You'll be known by name in our customer communities as the PM who ships what they need.Why this role mattersYou'll get direct exposure to CEO-level product thinking while owning meaningful areas of our product. Perfect setup for someone who wants to grow into a senior PM role at a fast-growing AI company.You'll be known by name in our customer communities as the PM who ships what they need.Why Siena?Meaningful impact. Your work directly shapes our product and company.Globally distributed team working at the bleeding edge of CX and AI.Great salary plus the opportunity for equity or stock grants.Learning budget. If you're growing, so are we.The thrill of building something new. Join us at a stage where your contributions matter most.AI-fluency. Make AI your second nature. Tackle unsolved problems. We’re redefining how customer experience will look like in the next decades.Our valuesThe people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.Our approach to AIThe people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application.Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We're looking for an experienced DevOps Engineer to join our Platform team and take ownership of the systems and pipelines that power our engineering organization. This role is built on operational excellence; you've lived through production incidents, scaling challenges, and deployment nightmares, and are passionate about building resilient systems that prevent these problems before they happen.This is a highly autonomous, high-impact role that blends Ops practices, infrastructure engineering, and delivery pipeline optimization. You'll work with a focused, collaborative, and fast-moving team where your contributions will directly impact system reliability, developer velocity, and our ability to safely deliver AI-powered products at scale. Candidates should also have a solid background in Cloud, IaC, and Kubernetes, and a drive to produce excellent solutions for a variety of challenges.This fully remote role reports to the Director, Information Security and is open to candidates located anywhere in the continental US. What you will do at JasperWe're a tight-knit team with broad responsibilities and a strong emphasis on action. We value bias toward shipping, prioritize pragmatic solutions and measurable reliability improvements, providing our engineers the autonomy to take ownership and move fast. Collaboration, trust, and clarity are at the core of how we operate. And we're always looking for people who want to make systems more reliable for everyone. If you're a systems thinker who wants to build infrastructure that empowers teams, and who thrives in a fast-paced, AI-focused environment, this is the role for you.Build and Maintain Resilient Infrastructure: Design, implement, and operate cloud-native infrastructure that scales efficiently and fails gracefully. Own the reliability, performance, and cost-effectiveness of our production systems across multiple environments.Architect CI/CD Pipelines: Create and optimize software delivery pipelines that enable safe, fast, and frequent deployments. Build robust testing frameworks, automated rollback mechanisms, and progressive deployment strategies that give engineering teams confidence to ship rapidly.Automate Everything: Develop resilient Infrastructure as Code-managed solutions using Terraform. Create self-healing systems, automated scaling policies, and intelligent alerting that reduces toil and minimizes manual intervention.Support AI Workloads: Collaborate with ML and product teams to build infrastructure that efficiently handles AI model training, inference, and evaluation pipelines. Design systems that can scale compute resources dynamically based on demand patterns.Drive Platform Reliability: Proactively identify single points of failure, performance bottlenecks, and scalability limits. Promote reliability engineering practices across all engineering teams through tooling, documentation, and direct collaboration.Secure the Platform: Implement security best practices throughout the infrastructure stack. Manage secrets, certificates, and access controls. Ensure compliance with security policies while maintaining developer productivity.What you will bring to Jasper Production Operations Mindset: As an experienced operations engineer, you've been woken up by production alerts and understand what it takes to build truly reliable systems. You have strong opinions about monitoring, incident response, and the importance of measuring what matters.Kubernetes & Cloud Native Expertise: Deep hands-on experience with Kubernetes in production environments, including cluster management, networking, storage, and security. Strong knowledge of cloud-native patterns and Google Cloud Platform services.Infrastructure as Code Mastery: Extensive experience with Terraform, Helm, and configuration management tools. You've built and maintained complex infrastructure deployments that are reproducible, version-controlled, and easy to reason about.CI/CD Pipeline Engineering: You've designed and operated sophisticated delivery pipelines using tools like GitHub Actions, Argo CD, Jenkins, or similar. You understand the tradeoffs between speed and safety in software delivery.Observability & Monitoring: Hands-on experience with observability platforms (especially Datadog). You know how to instrument applications, create meaningful dashboards, and design alerting that reduces noise while catching real issues.Programming & Automation Skills: Strong scripting abilities in Python, Go, or Bash. Experience building tools and automation that solve operational problems at scale.Preferred QualificationsMulti-Language Support: Experience supporting applications written in TypeScript, Python, Go, or other languages in production.AI/ML Infrastructure: Understanding of GPU computing, model serving infrastructure, and the unique operational challenges of AI workloads.Security Engineering: Experience with container security, secrets management, policy enforcement, and compliance frameworks.Open Source Contributions: Active contributions to infrastructure, monitoring, or CI/CD open source projects.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $170,000 - $200,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a skilled Senior Network Engineer with a strong background in both cloud network administration (AWS, Azure, GCP) and on-premise Cisco networking, including switching and wireless technologies. The ideal candidate will be experienced in managing hybrid environments, configuring firewalls, implementing SD-WAN solutions, and delivering exceptional customer service. This candidate also needs to be experienced in a start-up company environment and be team oriented.  This role plays a critical part in maintaining the integrity, performance, and security of both cloud and on-site network infrastructure for our organization and its clients. Responsibilities: Cloud Network Administration: Design, configure, and support virtual networks, routing, VPNs, and load balancing in AWS, Azure, and GCP. Administer cloud network components (e.g., VPCs, Transit Gateways, Azure VNets, GCP Interconnects). Ensure cloud networking aligns with enterprise security and performance standards. Automate cloud network provisioning using tools like Terraform, CloudFormation, or ARM templates. Monitor and troubleshoot cloud network performance and incidents.  Lead efforts to audit, standardize, and secure Azure networking resources, transforming a loosely managed environment into a well-governed, cost-optimized, and scalable architecture On-Premise Networking: Deploy, configure, and manage Cisco switching and wireless solutions. Maintain wired and wireless network availability across corporate offices. Diagnose and resolve issues related to switches, APs, controllers, and PoE devices. Security & WAN Technologies: Configure and manage firewalls (e.g., Cisco ASA/Firepower, Palo Alto). Implement and support SD-WAN technologies for secure, optimized wide-area connectivity. Ensure network compliance with internal security policies and industry standards. Customer Service & Support: Serve as a point of contact for internal stakeholders and clients on network-related issues. Provide high-quality support, documentation, and communication throughout project lifecycles. Participate in on-call rotations and respond to escalations with professionalism and urgency. Requirements:  Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 7+ years of hands-on experience in network engineering and cloud administration. Solid experience with: AWS, Azure, and Google Cloud Platform networking components. Experience with AWS Direct Connect or Azure ExpressRoute is a plus. Cisco switching (Layer 2/3) and wireless infrastructure. Experience with Cisco DNS/Catalyst Center is a plus. Firewall configuration and management. SD-WAN solutions (e.g., Cisco Viptela, Velo Cloud, Fatpipe). Strong understanding of networking protocols (TCP/IP, BGP, OSPF, DHCP, DNS, VLANs, etc.). Proficiency in network monitoring and diagnostic tools (e.g., Wireshark, SolarWinds, NetFlow). Excellent communication and customer service skills. Bonus Qualifications:  Relevant certifications, such as: Cisco (CCNA, CCNP) AWS Certified Advanced Networking Azure Network Engineer Associate Google Professional Cloud Network Engineer Experience working in hybrid IT environments (on-prem + cloud). Familiarity with Zero Trust architecture and secure cloud networking principles. Early stage start up experience. Strong problem-solving and troubleshooting skills. Ability to communicate complex technical concepts to non-technical stakeholders. Detail-oriented with a proactive and collaborative mindset. Comfortable working independently and as part of a cross-functional team, in a high paced start-up company environment. The US base salary range for this full-time position is between $180,000 - $240,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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What is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations - and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects, this role is for you.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from. The Role We're looking for a Forward Deployed Engineering Lead to guide our world class team of FDEs as they solve high leverage problems for our most complex enterprise customer engagements. You will interface directly with our customers in an effort to solve their pain points and drive real-world operating efficiency and cost savings. You'll help us design and improve upon our customer delivery process, guiding everything from individual deployment timelines to the overall strategic implementation process across our enterprise book of business.This role is inherently cross-functional - you’ll often be the bridge between product, engineering, and customer teams. It is as important to be comfortable with sales conversations and identifying upsell opportunities as it is to understand how we can expand Automat’s suite of AI-powered product offerings to improve velocity and scale. Success will be measured by impact across all deployments - delivering measurable value against customer goals, driving adoption, and finding avenues to create further engagement with existing customers. What you’ll doOwn the technical delivery for multiple independent workstreams. Translate customer objectives into a plan with milestones, dependencies, and acceptance criteria.Run day-to-day FDE execution. Track and drive delivery across individual customer project teams, ensuring progress is proactively unblocked and sequenced.Define key workflows, tools, and processes for all of our customer deployments.Act as the first technical point of contact for sales, helping scope, define, and qualify potential new customer engagements in a way that helps ground them in a technical manner.Be the eyes and ears for our GTM and Engineering teams to help bridge key objectives across capacity planning and product roadmap development.What drives youMethodically working through complex technical challenges, no matter how detailed or demanding, until the solution emerges.Efficiency without negatively impacting quality.Collaborating in teams of both technical and non-technical membersStandardizing disparate and ambiguous processes so that they become repeatable and scalable as our customers increase in volume and complexity.What’s in your toolboxExcellent communication and collaboration skillsDemonstrated success in leading Enterprise level customer-facing technical roles (e.g., sales engineering, solutions engineering, forward deploy engineering, etc.)Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight engineering coordination and fast decision makingIntrinsically pattern match, always stepping back from execution detail to recognise broader trends across deployments in order to turn individual customer needs into scalable, reusable solutions.What we are looking forTop notch communication and collaboration skills, particularly bridging discussions between technical and non-technical teamsComfort navigating ambiguity and wearing multiple hatsProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as both an IC and technical leader in startups or other dynamic, high-growth setting

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for engineers to help us reach $XXM ARR in the next 9 months. As a founding member of our team you’ll be shaping the playbook for the future of work alongside a small, relentless team pushing the edge of what’s possible with AI.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.About the roleDesign and orchestrate agentic workflows by combining AI prompting with Magical’s multi-agent platform, extending its capabilities to solve complex, customer-specific challenges.Act as a technical bridge between customers and Magical’s product and engineering teams, capturing real-world feedback and translating it into platform improvements.Diagnose and resolve issues across deployments, integrations, and performance optimizations, ensuring reliability in high-stakes environments like healthcare.Shape the internal playbook by building tools, documentation, and reference implementations that accelerate future customer rollouts and scale Magical’s multi-agent ecosystem.About youYou have 3+ years of experience in engineering, QA engineering, solutions engineering, or similar technical backgroundYou’re deeply curious about AI prompting, multi-agent systems, and automation. Prior experience here is a plus, but a fast learner with strong fundamentals will thrive.Have a strong bias towards action, a willingness to do whatever it takes, and embody show > tellHave a strong sense of agency, effectively prioritizing and unblocking yourself without much outside input.You thrive in early-stage chaos: you’re excited to define the playbook rather than follow one.Studied science or engineering in college (dropout welcome)Located in SF/Toronto or willing to relocateWhat we offerA chance to be an early team member at a fast-growing, ambitious companyThe opportunity to push the boundaries of what’s possible with AIA modern stack and the latest tools to do your best workCompetitive salary and meaningful equityUnlimited PTOFun team offsites, past trips include Iceland, Lisbon, Cancun, and Costa Rica

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About Us: ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel.Our forte lies in a unique counter-drone solution, manifested through an AI-enabled auto-aiming system. By adapting commercial firearms with our convergence of computer vision and precision robotics, we transform handheld weapons into potent tools for automatically detecting, tracking, and neutralizing drones effortlessly.We recognize that prevailing C-UAS strategies often leave dismounted personnel inadequately prepared to confront the swiftly advancing drone menaces. Our solution ensures that military and law enforcement entities are empowered with proficient drone deterrence and denial capabilities, integrated into the weaponry they already possess and will continue to carry. This approach sidesteps the impractical reliance on multi-million dollar assets to counter a $200 drone threat, presenting a pragmatic and cost-effective defense solution.Job Description: We are seeking an experienced and highly motivated Principal Computer Vision Engineer to join our team. This role is focused on developing and optimizing advanced computer vision algorithms for aerial object detection and tracking. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, with experience in the defense sector.Key Responsibilities:Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.Conduct research and stay up-to-date with the latest advancements in computer vision and machine learning to ensure our solutions remain at the forefront of technology.Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.Analyze and interpret complex data sets to improve detection and tracking accuracy.Help ensure compliance with industry standards and regulatory requirements in all developed solutions.Qualifications:Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.Minimum of 3 years of experience in computer vision and objection detection.Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.Proven experience in developing and deploying machine learning and deep learning models in real-world applications.In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.Excellent problem-solving skills, with the ability to think critically and innovate.Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.Ability to work effectively in a team-oriented, collaborative environment.Preferred Qualifications:Experience with drone technology and UAV systems.Knowledge of radar, LIDAR, and other sensing technologies.Familiarity with cloud computing platforms and edge computing.What We Offer:Competitive salary, equity, and benefits package.Opportunity to work on cutting-edge technology with a significant impact on national security.A collaborative work environment that values innovation.Professional development opportunities and career growth.

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Software Engineer to join the Teleoperation Team.  Teleoperation is a crucial part of our platform, enabling high quality data collection from human demonstration for autonomous policies. In this role you will support the development and improvement of our teleoperation system. We are looking for candidates with strong robotics experience in software development, teleoperation, cameras and video pipelines, control theory, haptics, and data acquisition. Success CriteriaDesign and implement teleoperation systems for humanoid embodiments with a focus on low-latency control loops, mapping motion capture input to robot output, and channeling video from image on camera sensor to display on VR headset.Apply experience in large-scale software development, including modern programming languages, complex codebases, and sound engineering practices.Collaborate with cross-disciplinary teams to meet performance goals, address robotics challenges, integrate real-time control systems, support field operators, and maintain clear technical documentation.Develop and optimize algorithms for kinematics, dynamics, and control, implementing responsive control loops for precise, stable performance in real-world conditions. Your ExperienceQualificationsMS or Ph.D. in Robotics or a related field (Computer Science, Electrical Engineering, Mechanical Engineering, etc.), or equivalent industry experience.Proven experience developing robotic software in collaborative environments, using C++, Python, ROS 2, Linux, Git, and CI/CD pipelines. SkillsTeleoperation Systems: Understanding of motion capture, VR systems, exoskeletons, haptic feedback, and kinematic retargeting.Robotics Mathematics: Strong understanding of rigid body transforms, forward/inverse kinematics, dynamics, signal processing, and latency mitigation.Robotics Control: Experience with techniques such as impedance control and admittance control.Robotic Sensors: Familiarity with tactile sensors, force/torque sensors, and cameras.Debugging Skills: Ability to diagnose and resolve issues in real time during live teleoperation sessions, including troubleshooting control loops, latency, and hardware-in-the-loop interactions under operational constraints.Nice to have: Experience with numerical optimization, optimal control and ML for control Traits:Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsTakes ownership and accountability, fostering the same in teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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About RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.About the roleAt Robin AI, we bring together amazing people in engineering, AI and the law to create groundbreaking products that are transforming legal teams. Our current product blends traditional engineering, neural networks and LLMs to read and comprehend written contracts, assess whether they adhere to our customers’ preferred positions and automatically amends them. But our ambitions go way beyond reviewing contracts; we want to build technology that changes the way people and companies all over the world engage with legal services.You will help us build software that allows our customers to create contracts from a library of templates; quickly review and edit contracts sent to them by counterparties; and ask critical questions about the contracts they already have. #LI-BD1Our tech stackOur frontend is built using React and Apollo, and we use Python web frameworks, such as Django and Flask, to implement our back-end services, alongside various other services and libraries such as Celery and Elasticsearch. Everything runs on AWS services, including but not limited to ECS, Lambda and SQS. We use CircleCI to build and deploy, and all of our infrastructure is managed using Terraform.What you'll doContribute to the backend development in a product-focused squad. Collaborate on design decisions, write high-quality, well-tested code that solves challenging problems.Work closely with rest of a product-focussed squad including engineers and product managers.Understand the “why” of what you’re building to create great experiences for users.Develop back-end services and GraphQL API’s using Django, Flask and similar Python frameworks.Preferred qualifications3+ years backend experience You enjoy working throughout the backend, and have experience with web-based languages (Python, Go, Node.js) and associated frameworks (e.g. Django, Flask)What’s in it for youSalary: up to $185,000Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!Annual leave: 17 days PTO, in addition to the public holidays observed in the USA.Health: Medical, dental, and vision coverage.401k retirement.Growth opportunities: We prioritise promotions for high performers and help you to progress your career.What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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At Aleph Alpha, we are shaping the future of AI — with European values at the core.We are looking for a Head of Commercial Excellence to work as the Chief Growth Officer’s (CGO) trusted advisor. This high-impact role requires a strategic and analytical mindset, strong operational acumen, and the ability to drive execution. Success in this role means thriving in a fast-paced, dynamic and fast- evolving environment.Your ResponsibilitiesStrategic Support to the CGO : Partner closely with the CGO on daily priorities, including communications, decision-making, and high-level initiatives. Shape Organizational Growth: Optimize the department's internal processes and implement scalable structures that improve performance and enable growth.Drive Cross-Functional Coordination: Facilitate collaboration between teams and departments, proactively identifying any gaps or misalignments.Enhance Leadership Effectiveness: Removing roadblocks, driving clarity, and helping the leadership team move faster and more effectively.Analyze and Enable Decision-Making: Synthesize key data, reports, and insights to support strategic decision-making at the leadership levelYour profile:Experience: Significant experience in strategy, consulting, or chief of staff rolesProven ability to drive complex projects and influence across teams and departmentsStrong business acumen, with experience in high-growth environmentsExceptional organizational skills with an open, collaborative communication styleProactive and solution-oriented; you thrive in a dynamic environment and are comfortable navigating ambiguity.Experience in high-growth environments, startups, or tech companies is a plusFluency in English and German is required. What you can expect from us:Become part of an AI revolution! 30 days of paid vacation Access to a variety of fitness & wellness offerings via Wellhub Mental health support through nilo.health JobRad® Bike Lease Substantially subsidized company pension plan for your future security Subsidized Germany-wide transportation ticket Budget for additional technical equipment Flexible working hours for better work-life balance and hybrid working model Virtual Stock Option Plan

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. As a GTM engineer, you will be closer to customer needs than anyone else on the team, working directly with customers throughout the technical implementation lifecycle— implementation to success. You will ship the highest priority customer requests and product improvements, and work closely with product and engineering to define the Devin roadmap. This role offers a unique opportunity to have a major impact on the direction of one of the fastest-growing AI startups.You’ll be successful in this role if you’re excited to discover and solve previously unachievable problems with Devin, if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Demonstrate a track record of success building and selling deeply technical productsYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsYou have technical experience either as a software engineer or forward deployed engineerThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…previously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

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We are an applied AI lab building end-to-end software agents.We’re the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.About the RoleAt Cognition, customers are our highest priority. Deployed Engineers (DEs) are customer-facing technical experts who help our customers maximize the value they get out of Devin. You'll lead all technical aspects of our pre-sales process, designing compelling product demos, executing pilots, and working closely with engineering organizations to identify and delegate the right use cases to Devin. Beyond initial engagement, you'll design and deliver ongoing training programs and enablement resources to help customers roll out Devin to thousands of engineers.You’ll be successful in this role if you have a technical background – either studied computer science or have extensive experience leading highly technical sales engagements – and if you love building, and if you embody the drive and grit required to win in a fast-paced, high-intensity environment.In this role, you will:Own all technical aspects of the customer lifecycle—from deployment through activation, making sure our customers are successful using DevinWork closely with customers to understand their technical challenges and identify the best use cases for Devin to be a productive contributorBuild deep relationships with our customers’ engineering teams to ensure smooth product integration and adoption, activating top users and driving product utilizationBuild! Always listen to customer feedback, have a bias towards implementing requested features yourself, and advocate for the customers’ needs with the rest of the teamBe the customer oracle! Exercise your product instincts to help set the roadmapRequirements for the role:Degree in a STEM fieldProven track record of successful enterprise deployments in previous GTM or forward deployed engineering rolesYou’re a natural relationship-builder, an excellent communicator and feel comfortable talking about complex technical topics with customers in all roles and levelsThrive in ambiguous and rapidly changing environments — you’re willing to move fast and quickly grow in scope and responsibilityYou have a demonstrated exceptional ability to learnYou might excel if you…have sold highly technical productshave worked as a software engineerpreviously founded a startupare a competitive, highly ambitious person who loves working in high-intensity environmentsthrive in roles that require you to context switch quickly and handle a broad range of technical and non-technical problemslike grinding

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Who we are Helsing is a defense 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 program 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 defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  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 defense 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 practice 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 A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.Why Cerebras?   Here at Cerebras, we have built the world’s first wafer-scale compute platform and software stack, purpose-designed to accelerate generative AI by over 10-20x what is possible on legacy processors today. AI developers are limited today by the constant tradeoffs between model quality, speed, and cost, and Cerebras’ mission is to remove these limitations to unlock AI creativity and potential.   Unmatched speed. Our third-generation Wafer-Scale Engine (WSE-3) delivers sub-ms inference latencies and training throughput that eclipses GPU clusters by over 10x. Think instant code generation, instant design creation, agents that interact seamlessly and responsively to their users and environment.   Full-stack innovation. From custom silicon to compilers, model research, and turnkey cloud inference, we are innovating and integrating at every layer so customers can focus on breakthroughs, not bottlenecks.  Real-world impact. Cerebras customers are transforming industries across healthcare, energy, science, government, startup ecosystems, and more. We’re proud to be serving customers spanning the Fortune 500, government labs, and AI-native unicorns.  Backed to win. Cerebras is supported by top investors, like Benchmark, Altimeter, Eclipse, and Coatue.  Fearless and fun culture. We’re a close-knit, creative team that tackles all challenges with optimism and collaboration. We’ve already productized the world’s largest chip by over 50x. How hard can the next problem be? :)    About The Role  As a Forward Deployed Product Manager at Cerebras, you are the tip of the spear for our company. You’ll embed with our most strategic customers, from AI-native startups shipping 0-to-1 products to Fortune 500 enterprises transforming their industries, to translate and guide their ambitions into blazing-fast, production-ready AI solutions.  Think of yourself as part product leader, part technical expert, and part GTM strategist:  Own the outcome – From first whiteboard session to scaled deployment, you are directly accountable for customer success, adoption, and expansion.  Design for speed – Craft PoCs that showcase Cerebras’ latency super-powers, advise on model selection / fine-tuning, and benchmark end-to-end performance.  Navigate complexities – pitch new ideas, align internal and customer stakeholders, unblock hurdles, and convert customer interest into long-term, thriving partnerships.  Shape the roadmap – Distill customer insights into structured product feedback requirements, influencing future software features and chip and cluster designs.   Successful candidates will be passionate about creative problem solving and idea generation, learning and embedding into new domains, building relationships, and delighting customers.   You’ll have the opportunity to learn about and enable some of the most impactful AI products in the world, with industry-leading organizations across each vertical. You will get to work closely with a tight-knit product team, in a fast-moving but supportive environment. Your scope and career here will be driven by your passion, ability, and impact – not by your seniority or prior experience.  Key Responsibilities  You will:  Be the product leader on our most critical lighthouse accounts, each pushing the limits of what’s possible with GenAI.   Engage directly with companies from AI Natives at the cutting edge to large enterprises transforming their industries, to deeply understand their needs, goals, and requirements.  Co-architect solutions— partner with Solutions Architects, Account Managers, and our Engineering and Product teams to design tailored solutions that leverage our 10x faster speed advatanges to transform customer applications.   Directly advise on customers’ long-term AI strategies  Become a go-to-market ninja. You will be co-owning the end-to-end customer journey, working across Sales, Solutions Architects, Marketing, Engineering, and Product teams to convert interest into long-term usage and expansion. As part of this, you will also be continuously helping to improve and optimize our processes.   Identify new collaboration opportunities and use cases within accounts to expand Cerebras’ partnership with them.  Drive the product roadmap, working closely with engineering, ML, and other product teams across the company to bring your deep understanding of customer requirements to drive future feature development.   Skills & Qualifications   Minimum Requirements  Deep passion for creative problem solving and customer success.  Strong technical background (CS/EE background, or prior experience as a SWE), and familiarity with LLMs, inference needs, agents, etc.   5+ years of experience as a product manager, currently at or above the level of Senior PM. Ideally, on a developer-facing product.   Excellent ability to communicate with customers and navigate complex, high-stakes scenarios. Ability to thrive in a fast-paced, dynamic environment.  An entrepreneurial sense of ownership of overall team and product success, and the ability to make things happen around you. A bias towards getting things done, owning the solution, and driving problems to resolution.  Preferred Requirements  Experience with LLM serving stacks (vLLM, TensorRT-LLM, TGI), agent frameworks, etc.  Interest in developer platforms and tooling. MBA of equivalent professional experience. Location   Hybrid at our Sunnyvale, CA or Toronto ON, Canada preferred. Remote possible for candidates willing to travel 1-2x per quarter.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.