AI Data Science & Analytics Jobs

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Your New Role and Team Sanctuary, a world leader in developing AI-based control systems for humanoid robots, is hiring a Commercial Operations Analyst to support our growing commercial and account management functions. This role is foundational to how we qualify customer opportunities, analyze business cases, and connect customer use cases to our product roadmap. You’ll work closely with our Director of Account Management and collaborate across product, engineering, and deployment teams to manage the early stages of customer engagement—from the first inquiry to detailed use case documentation. This is an exciting opportunity for someone who thrives on analysis, communication, and collaboration, and who wants to grow at the intersection of technology, business strategy, and customer success within a robotics-driven organization. Success CriteriaQualify and filter inbound commercial inquiries with clarity and professionalism.Prepare concise customer profiles and maintain a centralized commercial database (Single Source of Truth).Conduct and document introductory customer calls, summarizing objectives and potential use cases.Support use case discovery and documentation in alignment with product and deployment teams.Perform high-level business case, market, and growth analyses to support opportunity assessment.Coordinate internal alignment across commercial, product, and engineering stakeholders.Assist with preparation of presentation materials and reports for both internal and external audiences.Demonstrate consistent organization, attention to detail, and follow-through on assigned commercial activities. Your Experience and QualificationsDegree in Business, Engineering, or a related technical field (MBA or business specialization an asset).1–3 years of experience in business analysis, commercial operations, or consulting.Understanding of basic business development or account management workflows.Comfortable handling data, documentation, and structured reporting.Familiarity with CRM or ERP systems (NetSuite, HubSpot, or similar).Strong written and verbal communication skills.Curiosity about advanced technology, AI, and robotics is essential. SkillsHighly organized, methodical, and self-driven.Analytical thinker with strong problem-solving and documentation skills.Effective communicator across technical and non-technical audiences.Adaptable and comfortable with ambiguity in fast-changing environments.Proactive and accountable, with a collaborative team-first mindset.Curious about how technology creates value for real-world customers.

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About ArtisanAt Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates.Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would.Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including Remote, Quora, and SumUp. We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.Your MissionYou’ll design, build, and scale the backend that powers AI employees while following our principles:Velocity is Everything: keep the 20/80 rule in mind, delay kills growthThink Like a Founder: ship with quality, have strong opinions, and speak up if you disagreeOperate With Efficiency: put the customer first, write it down, and use AI wherever possibleCommunication Rules Everything: be clear and concise, give candid, unsolicited feedbackMeetings, But Make Them Useful: don’t attend meetings where you don’t add or extract value; Presence ≠ productivityVibes Matter: have a positive attitude, make others feel appreciated, we’re here to winWhat You Bring3+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.Proficiency with AWS and GitHub Actions.Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.What Makes This Role Stand OutStay relevant: At Artisan we are creating AI employees and you'll learn how to not be replaced by one.Ownership and autonomy: You'll be given trust, and expected excellence.Compensation: Real equity upside and compensation aligned with high expectations and high impact.Culture: Have a chat with our teammates, each and everyone has a clear reason about why they love it.DetailsRole: EngineeringEng type: BackendJob type: Full-timeExperience: 3+ yearsLocation: BrazilRemote: Remote

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role The xAI datacenter control systems team is looking for a highly-motivated Controls Engineer to support the operation, design, and optimization of our advanced data center infrastructure. This person will play a key role in maintaining the stability and efficiency of the systems that power xAI's groundbreaking AI research. The Controls Engineer will collaborate with cross-functional teams to monitor and improve the performance of the data center throughout its lifecycle. This individual will work closely with Operations and Maintenance to ensure the systems are running smoothly, from day-to-day management to long-term upgrades and expansions. Responsibilities Executing the implementation and modification of Building Management System (BMS), Electrical Power Management System (EPMS), and any other SCADA systems critical for the operation of current and future data centers Overseeing the operation of critical systems such as chillers, pumps, and power distribution, using PLCs and other industrial control technologies Preparing specifications for Human-machine Interface (HMI) including graphics standard for interpretation by Grok Implementing and maintaining automated controls for fire safety and emergency shutdown procedures (ESOP) Developing a corporate-level reporting dashboard to monitor the operational trends such as power usage effectiveness (PUE) and performance/cost, and dynamically adjust the infrastructure set points for optimal performance Coordinating with utility providers to automate demand and operational responses to upstream grid events Required Qualifications Bachelor's Degree in an Engineering discipline: Controls and Computer Control Systems, Computer Science, Mechatronic Engineering, Automation Engineering, etc., or equivalent experience 5+ years of experience as a hands-on Controls Engineer working with industrial control systems Ignition SCADA Programming Experience Siemens TIA Portal PLC Programming Experience Physical Requirements: Ability to work for extended periods of time standing, when needed Work is often performed in tight quarters and physical dexterity is necessary to perform job functions Comfortable working in an environment requiring exposure to noise Ability to lift or carry 10-15lbs Ability to work evenings and weekends as needed Position is subject to pre-employment drug and random drug and alcohol testing Preferred Qualifications Advanced proficiency in programming industrial equipment in all IEC 61131-3 languages with a focus on structured text and ladder logic Experience with industrial control hardware from leading manufacturers (e.g. Siemens, SEL, Rockwell) Familiarity with Human Machine Interface (HMI / GUI) development using platforms such as Ignition, SEL, etc Methodical troubleshooting approach Strong documentation and communication skill set Technical project management mindset Team-player, takes initiative, and highly motivated xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Backend Engineer - Third Party Model This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers. Responsibilities Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers Write clear, well-tested, and maintainable software Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Requirements 3+ years of demonstrated experience in building HTTP services with Python Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Proficiency in version control practices and CI/CD pipelines. What we offer at fal Interesting and challenging work Competitive salary and equity Employee-friendly equity terms (early exercise, extended exercise) A lot of learning and growth opportunities We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsite Compensation $180,000 - $250,000 + equity + comprehensive benefits package Location We are currently hiring in downtown San Francisco.  

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Software Engineering ManagerEngineering at Mirage isn’t narrowly defined. As a small, collaborative team, engineers are trusted with a high degree of ownership and agency. As an Engineering Manager, you’ll lead and grow a world-class team of software engineers while providing clear direction and stability. You’ll be responsible for driving technical excellence, fostering growth and collaboration, and building foundational capabilities across product, infrastructure, and core platforms. ResponsibilitiesOversee the design and operation of our core platform (3rd party providers, storage, billing, observability, security, API).Provide technical leadership for various product and platform featuresImprove developer experience so the whole team ships fasterGuide efforts that bridge AI research to production across all modalities (video, audio, image, text)Understand the capabilities and limitations of SOTA AI models and how to best leverage them in productsPartner with product, design, and research to keep our development tightly aligned with user needs and business objectivesWhat Makes You a Great FitA track record of building, mentoring, and managing high-performing engineering teamsExperience shipping high-impact systems, platforms, and products in productionExcellent judgment: you balance technical discernment with a strong sense of practicality and time managementAble to operate effectively in an extremely fast-paced environment, while setting your team up for sustainable successStrong communicator who can inspire and align a multidisciplinary teamEven Better If...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Appierについて Appier（エイピア）は、人工知能（AI）を活用して企業の意思決定を支援するソフトウェア・アズ・ア・サービス（SaaS）企業です。2012年に「AIの民主化」というビジョンのもとに設立され、「AIをROIに変える（Turn AI into ROI）」をミッションとして掲げています。現在はアジア太平洋地域、ヨーロッパ、アメリカを含む17の拠点を展開し、東京証券取引所（証券コード：4180）に上場しています。詳しくは www.appier.com をご覧ください。 提供ソリューション AIQUA（アイコア） AIを活用したマルチチャネル・マーケティングオートメーションプラットフォーム。Web、アプリ、メール、プッシュ通知など複数チャネルで、顧客ごとに最適化されたジャーニーを自動的に実現します。 BotBonnie（ボットボニー） SNS公式アカウント（LINE、Instagram、Facebookなど）やWebチャットに対応した、AI会話型マルチチャネルマーケティングオートメーションソリューション。顧客エンゲージメントとコンバージョンを高めます。 AIRIS（アイリス） AIを搭載したカスタマーデータプラットフォーム（CDP）。顧客データを統合し、より精度の高いセグメンテーションや予測分析を可能にします。 AdCreative.ai（アドクリエイティブ・エーアイ） AIによるクリエイティブ生成プラットフォーム。オーディエンスやチャネルごとに最適化された高パフォーマンス広告クリエイティブを自動生成します。 ポジション概要 AppierのSenior Enterprise Solutions Salesとして、日本市場におけるエンタープライズ企業向けに、AIQUA、BotBonnie、AIRIS、AdCreative.aiといったAppierのSaaSソリューション全体の販売をリードし、売上拡大を推進していただきます。 経営層や意思決定者の信頼できるパートナーとして、AIを活用したマーケティング・データ・顧客体験の変革を支援していただきます。 主な業務内容 新規開拓から提案、交渉、契約締結まで、SaaSソリューション営業の全プロセスを担当 Cレベルを含む経営層への提案を通じ、AppierのAIソリューションが抱えるビジネス課題をどう解決できるかを訴求 大手企業の戦略的アカウントを拡大し、長期的な関係構築と導入拡大を推進 正確なパイプライン管理と売上目標の達成 Pre-Sales、CSM、マーケティング、プロダクトなどの社内チームと連携し、シームレスな導入・運用支援を実現 既存顧客のアップセル・クロスセル機会を発掘し、持続的なアカウント成長を促進 AI・データ戦略・デジタルトランスフォーメーションに関する知見を発信し、Appierのリーダーシップを確立 応募条件 ソフトウェアソリューション営業の経験10年以上、うち5年以上はエンタープライズ向けSaaSまたはAI／MarTech領域での営業経験 複数のステークホルダーを巻き込む大規模案件のクロージング実績 強いオーナーシップと自己駆動力を持つセルフスターター AI・データプラットフォーム・マーケティングオートメーションなどの新技術への高い関心と学習意欲 変化を楽しみ、挑戦を続けるグロースマインドセット（成長志向） チーム内外での円滑なコミュニケーション・協働スキル AIで市場を変革し、顧客に価値を届ける情熱をお持ちの方 日本語：ネイティブまたはビジネスレベル（必須） 英語：ビジネスレベル（尚可／必須ではない） Appierで働く魅力 マーケティング領域におけるAI・データ革新の最前線で活躍できる 学習と挑戦を後押しするフラットで協働的なカルチャー 日本企業のAIトランスフォーメーションをリードする実感を得られる 勤務地: 東京都 所属部署: Enterprise Solutions（AIQUA / AIRIS / AdCreative.ai / BotBonnie） About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our Solutions AIQUA – An AI-driven multi-channel marketing automation platform that helps enterprises deliver personalized customer journeys across web, app, email, push channels and so on. BotBonnie – An AI conversational multi-channel marketing automation solution designed for SNS official accounts (LINE, Instagram, Facebook, etc..) and web chat to drive engagement and conversions. AIRIS – An AI-driven Customer Data Platform (CDP) that unifies customer data and enables advanced segmentation and predictive analytics for smarter decision-making. AdCreative.ai – An AI creative generation platform that automates the creation of high-performing ad creatives optimized for each audience and channel. Role Overview As an Senior Enterprise Solutions Sales at Appier, you will be responsible for driving revenue growth by leading the full sales cycle of Appier’s SaaS platforms—AIQUA, BotBonnie, AIRIS and AdCreative.ai across Japan’s enterprise market. You will act as a trusted advisor to senior executives, helping them leverage AI to transform their marketing, data, and customer experience strategies. Key Responsibilities Own the full sales cycle from prospecting, qualification, and needs discovery to proposal, negotiation, and contract closure. Advise and present to C-level executives, identifying and articulating how Appier’s AI-driven solutions address complex business and marketing challenges. Develop and expand strategic enterprise accounts, ensuring long-term success and maximizing product adoption across multiple business units. Maintain a robust and accurate pipeline, delivering consistent performance against revenue targets. Collaborate cross-functionally with Pre-Sales, CSM, Marketing, and Product teams to deliver seamless client experiences and ensure successful solution implementation. Identify upsell and cross-sell opportunities within existing clients to drive sustainable account growth. Represent Appier as a thought leader, contributing insights on AI, data strategy, and digital transformation to senior stakeholders. Requirements 10+ years of software solution sales experience, with at least 5 years in enterprise-level SaaS or AI/MarTech platforms. Proven track record of success in closing complex, multi-stakeholder enterprise deals. Self-starter mindset with strong ownership, accountability, and drive to achieve ambitious goals. Fast learner with deep curiosity and willingness to understand new technologies, especially AI, data platforms, and marketing automation. Growth mindset — eager to experiment, learn, and adapt in a fast-changing environment. Strong collaboration and communication skills, capable of aligning across teams and functions. Passionate about changing the market with AI and delivering measurable value to clients. Japanese: Native or Business level (Must to have.) English: Business proficiency (Good to have, not a must) Location: Tokyo, Japan Department: Enterprise Solutions (AIQUA / AIRIS / AdCreative.ai / BotBonnie)

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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!As a Software Engineer on the Collect team, you will:Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employeesWork with a small talented and enthusiastic team of software engineers.Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and occasionally server code.Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks.Identify and remove roadblocks to enable your team to increase its engineering velocity.Build resilient systems that are mission-critical.Keep up with the cutting edge and adopt new technologies to improve performance and reliability.You may be a good fit if:You’ve shipped fast and snappy web apps loved by many users.You have experience shipping products with a large number of stakeholders.You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python.You’ve mentored other engineers and are passionate about developing other junior folks.You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs.You’re excited to add new technologies to your toolbox and use them where it makes sense.You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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 up to 6 months🎨 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 vacation (30 working days!)

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoStrategic Technology Leadership for Key AccountsServe as the primary technical liaison for Lambda's strategic Superintelligence accountsCultivate and sustain executive level technical relationships, establishing Lambda as a trusted technology partner and strategic advisorDrive multi-year technology roadmaps aligned with customer business objectives and Lambda's product portfolioInfluence customer technology strategy and adoption at the executive levelRepresent Lambda at executive briefings, board meetings, and strategic planning sessionsOwn Technical Strategy and Business OutcomesPartner with Global Account teams to drive strategic account growth and expansionLead architectural reviews and technology assessments at the enterprise levelDefine and articulate business value propositions, ROI models, and TCO analyses for executive stakeholdersOrchestrate cross-functional teams including Solutions Engineers, Forward Deployed Engineers, Professional Services, and Product ManagementOwn technical escalations and serve as the Executive Technical Sponsor for critical customer initiativesDrive adoption of Lambda's strategic initiatives within key accountsTechnology Vision and Thought LeadershipEstablish yourself as a trusted advisor on AI/ML transformation and cloud strategyGuide customers through digital transformation journeys and emerging technology adoptionPublish thought leadership content, speak at industry events, and represent Lambda in executive forumsInfluence Lambda's product strategy based on strategic customer needs and market trendsMentor and develop technical talent across the organizationYouHave 15+ years of experience designing, deploying and scaling cloud infrastructureHave 6+ years of experience working directly with C-suite executives and senior leadership teams in advisory or consultative capacitiesHave 5+ years driving cloud transformation initiatives at enterprise scaleHave proven track record of influencing C-suite executives and board-level stakeholdersHave deep expertise in AI/ML technologies and their business applicationsHave experience with NVIDIA DGX/HGX/MGX systems, InfiniBand &RoCE networking, and large-scale GPU cluster deploymentsHave hands-on experience with LLM training, fine-tuning, and inference at scaleHave experience with enterprise architecture frameworks and governance modelsHave experience managing or influencing deals worth $1B+ annuallyHave strong business acumen with ability to translate technology into business outcomesHave experience navigating complex organizational dynamics and driving consensusHave track record of building strategic partnerships and alliancesExcel at executive communication, presentation, and storytellingDemonstrate thought leadership through publications, speaking engagements, or industry recognitionNice to HaveMBA or advanced degree in Computer Science, Engineering, or related technical fieldExperience as a CTO, VP of Engineering, Chief Architect, or Technical Fellow at a technology company with $100M+ revenueTrack record working with AI labs, research institutions, or frontier model companiesBoard advisory experience for technology companiesPublished peer-reviewed research, whitepapers, or patents specifically in distributed computing, GPU acceleration, or large-scale ML training infrastructureSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our upcoming Seattle office location or on-site with strategic customers 4 days per week; Lambda’s designated work from home day is currently Tuesday. About The RoleWe're looking for a Forward Deployed Engineer to embed directly with a strategic customer, serving as the technical bridge between Lambda and their team. You'll work where model performance matters most, delivery timelines are urgent, and ambiguity is the default state. Your job is to map problems, structure delivery paths, and ship solutions that create measurable impact.What You’ll DoCustomer EngagementEmbed on-site with a named strategic customer, becoming an extension of their teamAct as the primary technical liaison between Lambda and the customer organizationNavigate ambiguous requirements to identify root problems and define clear technical solutionsDrive alignment across internal Lambda teams and customer stakeholdersTechnical DeliveryScope, sequence, and build full-stack solutions that deliver measurable business valueDesign and implement infrastructure optimizations for AI/ML workloads at scaleDebug complex distributed systems issues across the infrastructure stackShip iteratively and learn fast, adjusting approach based on customer feedback and resultsStrategic ImpactIdentify reusable patterns from customer engagements that can scale across Lambda's customer baseSurface field intelligence that influences Lambda's product roadmapDocument and share learnings to elevate the capabilities of the broader teamRepresent Lambda with executive presence in high-stakes customer interactionsAbout YouMust-Have6+ years of experience in a SRE, software engineer, or similar role, with a deep knowledge of running Linux clusters and systemsStrong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operatorsProven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)Hands-on experience with AI/ML workload management tools (Volcano, Kubeflow, or similar)Can work either independently with limited direction or as part of a teamFamiliarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelinesProven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similarExcellent communication skills with the ability to translate technical complexity for diverse audiencesExecutive presence and ability to represent Lambda in customer-facing situationsComfort operating in ambiguous environments with competing prioritiesStrong bias for action and shipping iterativelyNice-to-HaveDeep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experienceExposure to HPC clusters, AI/ML workloads, or large-scale GPU clustersHybrid or multi-cloud Kubernetes environment experienceContributions to CNCF projects or Kubernetes SIGsWhy Join UsWork on cutting-edge Managed Kubernetes platforms for AI/ML workloadsInfluence the platform roadmap and help shape operations and reliability best practicesCollaborate with a highly skilled engineerOpportunity to mentor and grow within a fast-growing, technology-driven environmentSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$280,000—$300,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   As Customer Success Manager you will lead strategic AI transformation initiatives for Fortune 500 legal departments and will be responsible for successful delivery of our platform and solutions. Operating at the intersection of account strategy and execution, you’ll own senior client relationships and shape how leading organizations leverage AI to transform their operations. You will work with Eudia’s Product and Delivery teams to oversee delivery and in-life performance for enterprise clients, ensuring successful implementation, adoption, and measurable success of our platform and will bring an analytical mindset to assess business value, determine ROI, and establish success metrics for ongoing customer engagements. You will work closely with sales, and as part of the account team, to identify areas where our clients can further benefit from AI products and services.     We are seeking individuals with a proven track record in managing the delivery and success of complex software & services implementations for large enterprise clients. Legal training or experience working with legal teams is an advantage. This role offers significant autonomy, executive exposure, and the opportunity to shape both client strategy and product direction.   Key Responsibilities: Strategic Vision & Solution Design Co-create innovative AI solutions with Fortune 500 legal departments, aligning workflows and technology to unlock breakthrough value  Educate and inspire customers on AI possibilities, serving as their trusted advisor on emerging capabilities and future state vision  Design and implement multi-year roadmaps that address complex functional and business challenges   Value Creation & Delivery  Lead end-to-end implementation of AI initiatives, quarterbacking cross-functional teams to deliver high-stakes programs with measurable business impact  Orchestrate internal resources to bring the best of our capabilities to each customer  Develop and implement frameworks to measure ROI and showcase value realization to stakeholders  Customer Leadership & Growth  Build and nurture executive relationships across legal, technology, and business functions  Identify and unlock new value opportunities within existing customers  Lead customers through their AI transformation journey while expanding relationships and unlocking additional value  Provide training & support to customers legal teams as part of the journey   Product & Function Development  Be the voice of the customer internally, shaping our product roadmap and go-to-market strategy  Lead the development of best practices and frameworks that can scale across our customer base  Qualifications: 5+ years of experience in enterprise software implementation, or equivalent strategic roles in software & services companies.   Experience supporting and delivering to the largest companies in the world  Comfort with AI and advanced technologies with an ability to learn quickly and train & mentor customers on the technology  Bachelor’s degree in business, computer science, or related fields   Legal training or a law degree is an advantage, but not required   Exceptional analytical capabilities and structured problem-solving skills demonstrated through complex client engagements or software implementation programs  Strong interpersonal and collaboration skills for building strong, lasting relationships  Proven ability to tailor communication to diverse technical, sales, and executive-level stakeholders  Excellent organizational, time management, verbal, and written communication skills  Track record of handling multiple customers, projects and workstreams concurrently  Experience working with Enterprise legal operations (Legal Ops) is preferred  Enthusiasm for AI transformation, legal technology, or disruptive service models  Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be consideredAbout the RoleHippocratic AI is building safety‑first generative intelligence for healthcare. We are hiring an RN with clinical product experience to partner with our model and product teams to develop, validate, and continuously improve our medical large language models (LLMs). This role sits at the intersection of clinical expertise, patient communication, and product innovation – ensuring our AI agents are accurate, empathetic, and aligned with clinical best practices. What You’ll DoEvaluate the Medical Model. Design and run clinical evaluation protocols to assess the accuracy, safety, and appropriateness against guidelines and standards of care.Provide Clinical Insights. Translate frontline nursing expertise into product decisions—shaping dialog flows, safety rails, escalation criteria, and patient‑friendly explanations.Review & Triage Errors. Analyze error reports, identify root causes, and partner with engineers/researchers on remediation plans.Author “Gold Standards.” Create test cases, rubrics, and reference answers for high‑stakes scenarios; define acceptance criteria for model releases.Cross‑Functional Partner. Collaborate with ML researchers, speech/voice specialists, product managers, and QA to prioritize improvements and measure impact.What You Bring:Must-Have:Active, unrestricted Nursing License (RN) in your practicing state.Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills.Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams.Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP. Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices.Intellectual curiosity and a commitment to advance health delivery and increase access to all.Nice‑to‑Have:Background in quality/safety or clinical education.Experience with clinical guidelines and patient‑education best practices.Domain expertise in clinical and care management workflows.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About Cosmos We’re not your average MSP. We’re building an AI-first IT platform where humans and intelligent agents work together to keep companies running faster, smarter, and cheaper than anyone thought possible.Cosmos is a new Infinity Constellation venture — an AI-powered Managed Services company designed from the ground up for automation, observability, and Zero Trust. No legacy bloat. No ticket silos. Just clean architecture and code that matters.If you want to babysit servers, go somewhere else. If you want to build the backbone of how AI runs IT — keep reading.The Role We’re looking for a Cloud & Automation Engineer who lives at the intersection of systems, code, and chaos. You’ll be the one making sure everything just works — clouds stay up, agents stay smart, and users stay happy.You’ll: • Build, scale, and harden cloud environments (AWS + GCP). • Automate identity, provisioning, and access — because tickets are for amateurs. • Jump in on escalations that make other people sweat. • Write clean, reusable scripts to kill manual work forever. • Make the infrastructure invisible, reliable, and ridiculously fast.This is part ops, part dev, part automation wizard. You’ll be in the guts of the platform — the one who makes the lights never go out.What You’ll Do1. Cloud Infrastructure & Automation • Own AWS and GCP environments: compute, storage, networking, IAM, monitoring, and costs. • Automate provisioning and identity using APIs, SCIM, and whatever scripts get the job done. • Build integrations that let AI agents deploy, fix, and scale environments autonomously. • Write Python, Bash, or PowerShell scripts that make everyone’s life easier.2. Systems Reliability & Performance • Keep infrastructure stable, secure, and observable — CloudWatch, GCP Ops Suite, whatever works. • Run backups, test disaster recovery, and make sure you can sleep at night. • Patch, monitor, log, repeat — but smarter every time. • Troubleshoot the hard stuff: auth loops, permissions, weird edge cases no one’s seen before.3. Endpoint & Identity Management • Manage endpoints across macOS, Windows, and Linux using Zero Trust principles. • Build secure baselines that scale across hundreds of devices. • Work closely with our Security team to make “secure by default” more than a slogan.4. Collaboration & Mentorship • Act as L2/L3 escalation for Help Desk and onboarding. • Write documentation that people actually want to read. • Share what you learn — raise the team’s IQ every week.Who You Are • You’ve got 5+ years managing systems and cloud infrastructure — AWS, GCP, both, whatever. • You code or script your way out of every problem (Python, Bash, or PowerShell). • You think in automation, not checklists. • You know networking, IAM, and security inside out. • You’ve lived through a few “oh sh*t” incidents and learned how to prevent the next one. • You speak fluent troubleshooting — logs don’t scare you. • You want to be part of something early, messy, and meaningful.Location & Schedule This is a remote, global role, but you’ll work primarily on New York (EST) hours. We don’t care where you live — just that you can think fast, write clearly, and deliver results.Bonus Points • Terraform, Ansible, or configuration management experience. • Certs like AWS Solutions Architect or GCP Cloud Engineer. • Experience in MSP or multi-tenant environments. • Familiarity with SOC 2, ISO 27001, or GDPR compliance. • Obsessed with Zero Trust, automation, and clean architecture.Why You’ll Love It Here • You’ll work where AI and cloud collide — building systems that literally learn. • You’ll automate problems faster than they appear. • You’ll never get stuck waiting for permission to fix what’s broken. • You’ll be part of a team that values speed, reliability, and doing things right.This isn’t maintenance. It’s evolution. If uptime, automation, and adrenaline sound like your kind of stack — welcome to Cosmos.Salary and CompensationApproximate Annual Salary Range*Poland: EUR 35,000 – 65,000Romania: EUR 30,000 – 55,000Bulgaria: EUR 28,000 – 50,000Ukraine: EUR 25,000 – 45,000Ireland: EUR 55,000 – 85,000Other Eastern EU Markets: EUR 30,000 – 60,000*Ranges vary based on experience, certifications, and local cost of living and may also include an add’l bonus on top of base.What We OfferCompetitive compensation and performance-based incentives.Flexible remote or hybrid work options.Opportunities to work with AWS, GCP, JumpCloud, Halo ITSM, and Google Workspace.Professional development and support for certification.Collaborative team culture with a focus on reliability, security, and innovation.Exposure to complex multi-tenant and automation-driven environments.You’ll be part of a team building the next generation of AI-assisted cloud operations — combining automation, observability, and Zero Trust to reinvent how IT is delivered.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more..About the role:At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.What you will do:Lead the technical architecture and implementation of key product features for LangSmith working across our entire Go, Python, and Typescript stackPartner with product and design teams to build new features Drive aggressive project timelines while ensuring high engineering standards are being met.Lead by example in writing clean, maintainable, and well-tested codeWork closely with customers to understand their needs and shape the product directionHow to be successful in this role:Extensive experience in software engineering ideally working on fullstack, complex platform productsPrior experience building and managing a team of engineersStrong backend experience with Go and/or Python Strong frontend experience with React + TypescriptGood understanding of database systems, particularly Postgres and RedisExperience designing and scaling APIs ideally for high-throughput or data-intensive systemsA “get stuff done” attitude—comfortable shipping fast and iterating based on user feedbackStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersOwnership mindset with a bias for action and a focus on delivering impactBonus: Experience building AI/LLM-powered applications, developer tools, and/or observability platformsCompensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Salary range: $200,000 - $235,000

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program.  Certifications: Bar admission in any jurisdiction strongly preferred. Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor.  Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs. Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making. Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$100/hr, depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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PLEASE NOTE: This is a fully remote contract opportunity, with an estimated duration of 6 months with the opportunity to be extended. To be eligible, you must have authorization to work in the country you reside in.  About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis; collaborate in interactive sessions to assess model outputs for market relevance and compliance; provide detailed feedback to improve AI capabilities; and contribute to specialized projects in financial modeling, risk assessment, and equity research. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Education: PhD, Master, BBA in Finance, Economics, or related degrees. Certifications: CFA or CPA strongly preferred. Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.  Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus. Why Join the HFC? Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making. Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening analytical and financial skills, and gaining hands-on experience with cutting-edge AI applications. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: $80–$120/hr., depending on the projects. Application Process Apply: We review applications on a rolling basis. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise. Interview: Candidates will meet with the HFC team to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About the Role We are building the next-generation AI-powered platform and web application for easy and fast creation of audio and video content. Building a revolutionary way to record, transcribe, edit, and mix audio and video on the web comes with a series of unique technical challenges and requires solving hard and complex problems. We are hiring Software Engineers at the mid-career, senior, and staff levels to join a number of open roles on our Agent team, focused on building the future of Agentic Video Editing! About the team: Descript's Agent launched in Open Beta in July 2025. Since then, we've been working on improving the user experience for chat-based editing, adding more capabilities into our agent, and improving our agent infrastructure to continue to scale as models get better and better. The Agent team is a mix of AI Researchers and Software Engineers committed to our mission to make video editing accessible to anyone. Your peers will be based in San Francisco, New York, and distributed across the US and Canada. This is the role for you if any of the following areas sound exciting: Experimentation to push the limits on quality for our video editing agent (eg. harness and tool design, token/context optimizations, RL/new model development, multimodal, etc) Building a best-in-class product experience for agentic video editing interactions and improving user retention (eg. tuning prompt templates and other key user workflows, addressing user feedback, building key product capabilities like chat history, etc) Laying the foundations for a best-in-class developer experience for building agents (eg. logging, evals framework, online monitoring and feedback loops, etc) What you bring: Minimum Qualifications 3+ years of professional product engineering or fullstack experience Worked with Typescript, React, and RESTful APIs (or similar) Solid CS fundamentals, including data structures, algorithms, databases (Postgres, Redis) High ownership and growth mindset You thrive in collaborative environments and enjoy working with other functions (e.g. product, design, AI research) Extra credit! Experience building creative tools in the past or you're a frequent user of creative media tools. If you join Descript, you'll end up making lots of videos! Experience building agents, working evals infrastructure, or designing product experiences powered by LLMs Studies show that women and people of color are less likely to apply to jobs unless they meet every single qualification. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification above, please apply anyways. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Software Engineer. While titles may not change, we are actively seeking Software Engineers with senior-or-higher-equivalent experience to join our team. The base salary range for these roles is $174,000-$286,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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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.About the roleAs Head of Engineering at Siena you'll set technical vision for the first intelligence layer in customer experience—AI pipelines, evals, integrations, multi-agent orchestration. Your job: decide where we build, what we buy, how we scale.You're shaping Siena's technical strategy, influencing product direction, building the culture. You operate as peer to product, design, and revenue leadership. And you still prototype with Cursor and Claude Code on weekends because that's who you are.We're looking for someone who's scaled teams to 30+, stayed deeply technical with AI tools, and thinks in systems while moving at startup speed. You bring infectious energy, high agency, and the rare ability to zoom from board strategy to debugging production in the same conversation.What you'll doSet technical roadmap aligned to business goals—make build vs buy decisions at company levelDouble our engineering team over 12-18 months—design team structures, develop leaders, coach and be an example for what's possible with agentic codingStay hands-on with AI tools—write prototypes, review critical PRs, ship experiments, maintain technical credibilityOperate cross-functionally—partner with product/design/revenue as peer, shape company strategyDrive velocity at scale—ship weekly, cut scope based on learning, rally teams through ambiguityBuild culture that attracts top talent—create momentum through energy, establish practices that scaleWhat we're looking forYou've scaled teams to 30+ successfullyYou still code building using AI tools like Cursor, Claude Code, Codex, Lovable, v0You have technical depth with AI-native fluencyYou're comfortable with customers—join enterprise calls, understand their technical pain, earn trust at exec levelYou have high agency—take bets, shape direction proactivelyYou've led teams that shipped regularly at scaleYou've made technical decisions that shaped company directionYou've developed multiple leaders from ICsYou've maintained velocity during high growthYou've built with relevant technology: conversational AI, event-driven systems, LLM applications, CX platforms, e-commerce, API integrationsYou zoom from strategy to debugging fluidlyYou bring infectious energy, positive culture builder mindsetYou have startup DNA—comfortable with ambiguity, move fastThis isn't a "Head of Engineering who used to be technical" role. This is for the technical leader who shapes engineering culture, sets technical strategy, operates as peer to VP-level leaders, and still codes using AI tools today.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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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Software Engineer to help build and scale the data systems that power our machine learning products. This role sits at the intersection of data engineering and ML infrastructure: you’ll design large-scale streaming pipelines, build tools that abstract infrastructure complexity for feature developers, and ensure that our feature data is reliable, discoverable, and performant across online and offline environments. If you’re passionate about building foundational systems that enable machine learning at scale — and love solving complex distributed data problems — this is the role for you.What You’ll DoDesign and scale feature pipelines: Build distributed data processing systems for feature extraction, orchestration, and serving — including real-time streaming, batch ingestion, and CDC workflows.Feature Extraction: Design and implement reliable, reusable feature pipelines for ML models, ensuring features are accurate, scalable, and production-ready through well-designed SDKs and orchestration tools.Build and evolve storage infrastructure: Manage multi-tier data systems (e.g. Bigtable for online features/state, BigQuery for analytics and offline training), including schema evolution, versioning, and compatibility.Own orchestration and reliability: Lead workflow orchestration design (e.g. Pub/Sub, Busboy, Airflow/Temporal), monitoring, and alerting to ensure reliability at 100M+ video scale.Collaborate with ML teams: Partner with ML engineers on feature availability, dataset curation, and streaming pipelines for training and inference.Optimize for performance and cost: Tune GPU utilization, resource allocation, and data processing efficiency to maximize system throughput and minimize cost.Enable analytics and insights: Support downstream analytics and data science workflows by ensuring data accessibility, discoverability, and performance at scale.Preferred Qualifications4+ years building distributed data systems, feature platforms, or ML infrastructure at scale.Strong experience with streaming and batch pipelines (e.g. Pub/Sub, Kafka, Dataflow, Beam, Flink, Spark).Deep knowledge of cloud-native data stores (e.g. Bigtable, BigQuery, DynamoDB, Snowflake) and schema/versioning best practices. Proficiency in Python and experience building developer-facing libraries or SDKs.Experience with Kubernetes, containerized data infrastructure, and workflow orchestration tools (e.g. Airflow, Temporal).Familiarity with ML workflows and feature store design — enough to partner closely with ML teams.Bonus: Experience working with video, audio, or other unstructured media data in a production environment.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.